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Broward College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and persistence; (3) technology competencies as well as teaching/counseling skills and strategies that facilitate 21st century literacies; (4) the use of resources that prepare students for productive lives; (5) experience using various educational technological mediums. Minimum Education: • A Master’s Degree in Computer Science, Information Systems/Technology, Computer Education/Technology, Engineering, or a closely related discipline with related computer coursework AND any required industry certifications OR A Master’s Degree and 18 graduate credit hours in a Computer discipline with related computer coursework AND related IT Certifications Minimum Experience/Training: • Prior college teaching experience is preferred. • The successful candidate must have a high level of computer literacy and a commitment to teaching. • All schedules require office hours and some may require evening and/or weekend hours. **Position Time Type** Part time **Position Number** P0030273 **Department** Central STEM IT **Salary Range** $2,301.00 - $2,506.02 (Salary commensurate with education and experience) **Posting End Date** Open Until Filled **Work Schedule** Varies **Comments** To be considered for this position, a completed online employment application form along with a resume and unofficial transcript are required. **Designated Essential Personnel** No **Special Instructions to Applicant:** For positions requiring a degree, official transcripts are required upon hire. An unofficial copy of the degree/transcript is acceptable during the application process and must be attached to the online application. If unable to attach the documentation, please email the document to [jobs@broward.edu](mailto:jobs@broward.edu) or fax to **954-201-7612,** stating clearly the **position name(s)** and **position number(s)** the transcript is to be attached to. Foreign Transcript: Transcripts issued outside of the United States require an equivalency statement from a certified transcript evaluation service verifying the degree equivalency to that of an accredited institution within the USA. This report must be attached with the application and submitted by the application deadline. All required documentation must be received on or before the job posting end date. ****Please note that multiple documents can be uploaded in the “Resume/CV/Transcript/License/Certification” section of the application**** **_Please refer to the link with the instructions on how to submit an application with multiple documents._**[ https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf](https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf). Employment is contingent upon the successful completion of the required background screening process. Broward College uses E-Verify to check employee eligibility to work in the United States. You will be required to complete an I-9 Form and provide documentation of your identity for employment purposes Broward College is an equal opportunity employer and strongly encourages applications from eligible veterans and spouses of veterans, underrepresented groups, including minorities, women, and persons with disabilities. The College does not discriminate on the basis of age, color, disability, gender identity, genetic information, national origin, race, religion, sexual orientation or any other legally protected classification. For inquiries regarding Title IX and the college’s non-discrimination policies, contact the Vice President, Talent and Culture at 954-201-7449, Broward College, 6400 NW 6th Way, Fort Lauderdale, FL 33309**.** Applicants needing a reasonable accommodation with the application process, please contact the Talent and Culture Department at [nanders1@broward.edu](mailto:nanders1@broward.edu) **Disclaimer** The intent of this description is to illustrate the types of duties and responsibilities that will be required of positions given this title and should not be interpreted of describe all the specific duties and responsibilities that may be required in any particular position. Directly related education/experience beyond the minimum stated may be substituted where appropriate at the discretion of the Appointing Authority. 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All required documentation must be received on or before the job posting end date. ****Please note that multiple documents can be uploaded in the “Resume/CV/Transcript/License/Certification” section of the application**** **_Please refer to the link with the instructions on how to submit an application with multiple documents._**[ https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf](https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf). Employment is contingent upon the successful completion of the required background screening process. Broward College uses E-Verify to check employee eligibility to work in the United States. You will be required to complete an I-9 Form and provide documentation of your identity for employment purposes Broward College is an equal opportunity employer and strongly encourages applications from eligible veterans and spouses of veterans, underrepresented groups, including minorities, women, and persons with disabilities. The College does not discriminate on the basis of age, color, disability, gender identity, genetic information, national origin, race, religion, sexual orientation or any other legally protected classification. For inquiries regarding Title IX and the college’s non-discrimination policies, contact the Vice President, Talent and Culture at 954-201-7449, Broward College, 6400 NW 6th Way, Fort Lauderdale, FL 33309**.** Applicants needing a reasonable accommodation with the application process, please contact the Talent and Culture Department at [nanders1@broward.edu](mailto:nanders1@broward.edu) **Disclaimer** The intent of this description is to illustrate the types of duties and responsibilities that will be required of positions given this title and should not be interpreted of describe all the specific duties and responsibilities that may be required in any particular position. Directly related education/experience beyond the minimum stated may be substituted where appropriate at the discretion of the Appointing Authority. 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Work with teachers; Work with administrators", "domainKnowledge" : "Computer Science; CTE", "domainList" : [ "computer-science", "cte" ], "domainSpecificKnowledge" : [ "Computer Science", "CTE" ], "documentationSkills" : "Lesson plans; Grades; Reports", "continuousLearning" : "Professional development; Teacher training workshops; Educational conferences", "problemSolvingSkills" : "Student intervention plans", "qualificationsBasic" : "Bachelor's degree required, Valid Tennessee teaching license, Valid out of state license, On track for Tennessee certification, Practitioner license enrollment, Belief in the IOTA mission, Ability to meet deadlines", "qualificationsPreferred" : "Graduate coursework completion", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "IOTA Community Schools is a network of four public charter schools in Memphis, Tennessee. We operate both \"fresh start\" schools and \"zoned-enrollment\" turnaround schools. From 6th through 12th grades, our schools serve predominantly minority and low-income populations likely to be first-generation college attendees. IOTA Community Schools seeks a High School Computer Science (CTE) teacher in the Memphis area for the upcoming school year. We truly believe that every student, whatever their circumstances, holds the innate potential to achieve their goals and succeed. Our staff is committed to continuing their own learning and refining their practice to stay current in the field ensuring a quality education for all. IOTA offers specialized professional development, bi-weekly observations, and opportunities to grow and develop to enable strong teaching and learning in every classroom. We are looking for teachers that are passionate about ensuring that all students have access to a high-quality education regardless of their zip code or socio-economic status. Position Responsibilities: * Attend professional meetings, educational conferences, and teacher training workshops to maintain and improve professional competence. Attend staff meetings, and serve on committees as required. The approximate school day for staff runs from 7:30 a.m. to 3:30-4:30 p.m. * Effectively instruct students in assigned content area(s) as prescribed by IOTA's academic content standards through direct instruction, demonstrating, and using audio-visual aids and other materials to supplement presentations with the overall goal of engaging student learning. * Work as part of an interdisciplinary team and within content areas planning and aligning curricula to ensure that instruction follows curriculum guidelines or requirements of state and school. * Set clear short-term and long-term goals to drive instruction. * Develop and submit weekly and long range lesson plans containing standards, objectives, essential questions, assessments and lesson plans; assign lessons and review homework. * Consistently use data to evaluate pupil progress, record results, and issue meaningful reports to inform parents of progress. * Create and implement student intervention plans when necessary for students. * Maintain the school's student management policies and procedures (i.e. attendance records, dress code, etc.) and report to the school administrators when necessary. * Maintain effective supervision and discipline in the classroom. * Work with other teachers and administrators to address and resolve student needs. * Provide necessary accommodations and modifications for growth and success of all students. * Participate in faculty and professional meetings, educational conferences, and teacher training workshops. * Lead and participate in student activities such as: sponsoring student activities or student organizations, coaching a sports team, working with parents and the community as part of a committee or group, provide morning or after school supervision, and chaperoning student activities. * Abide by all state and federal mandates in reporting sexual or physical abuse and neglect. * Other duties as assigned. ## Qualifications * Bachelor’s degree required * Candidates must have either (a) valid Tennessee teaching license with the appropriate content endorsement to teach or (b) a valid out of state license that can successfully be transferred to Tennessee within 90 days of employment, or (c) demonstrate you are on track to complete the necessary steps towards certification in Tennessee. If you do not hold a teaching license, you may qualify for a Practitioner license while you complete graduate coursework, but you must enroll in an EPP program. Please review here: https://www.tn.gov/education/licensing/educator-preparation/educator-preparation-programs-providers.html * Belief in the IOTA mission * Ability to meet deadlines related to lesson plan submission, grades, and other requirements * Humility, sense of humor, and rock-solid commitment to IOTA’s mission and the communities we serve ## Additional Information Our teacher salary is based on years of certified experience and ranges from $53,000-$75,250. We also offer comprehensive benefits plan as well as the opportunity to impact a growing, mission-driven organization that is committed to the success of all students. This employer strives for a balanced, productive workforce, which is diverse in terms of age, gender, and cultural identity. We do not base hiring or promotional decisions on factors other than performance and professional growth potential. Please note that we are unable to sponsor H1 VISA applicants.", "summaryDescription" : "Computer Science Teacher at IOTA Community Schools. Attend professional meetings. Attend educational conferences", "postedDate" : "2026-06-15T18:52:14.000", "createdAt" : "2026-06-16T01:38:37.414", "lastUpdated" : "2026-06-16T10:43:56.971", "ingestTimestamp" : "2026-06-16T01:38:37.414", "mongoId" : "6a307d6ff292fd229c04d3a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 53000, "salaryAnnualMax" : 75250, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Computer Science", "CTE", "Tennessee teaching license", "Out of state license", "Practitioner license" ], "skillCount" : 5, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307701f292fd229c0211ab", "title" : "Adjunct Pharmacy Technician Instructor", "company" : "American Institute", "industry" : "Education", "salary" : { "min" : 27000.0, "max" : 27000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toms River (TRV)", "locations" : [ "Toms River (TRV)" ], "certifications" : [ "Pharmacy Technician certification" ], "timestamp" : "2026-06-16T12:25:13.205", "fingerprint" : "177b47d1a2858ad463849c93706a1d1301f2d0c95dc88f3cf467d068bbd7f203", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/americaninstitute/jobs/5257857008", "externalId" : "5257857008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toms River", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.9528389,-74.1967410" } ], "locationText" : "Toms River, New Jersey, United States", "experienceMinYears" : 3, "technicalSkills" : "MS Office, Microsoft Teams", "professionalSkills" : [ "Presentation skills", "Organization", "People-orientation", "Time management", "High energy" ], "hardSkillsList" : [ "Adult learning principles" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Adult learning principles", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Pharmacy technician, Instructional delivery, Student support", "majorSkillsList" : [ "Pharmacy technician", "Instructional delivery", "Student support" ], "coreResponsibilities" : "Deliver standardized education curriculum, Create learning environment, Guide professional development, Facilitate discussion forums, Promote student interaction, Avail self to students, Grade course activities, Post grades weekly, Track student performance, Provide academic feedback, Create learning support tools, Adhere to policies, Maintain faculty file, Communicate with program leadership, Communicate with students, Demonstrate knowledge of compliance requirements, Follow compliance requirements, Communicate compliance requirements to staff, Escalate compliance concerns", "teamCollaboration" : "Collaborate with program leaders; Collaborate with other departments", "domainKnowledge" : "Pharmacy technician practice; Federal compliance requirements; State compliance requirements; Accrediting agency regulations", "domainList" : [ "pharmacy-technician-practice", "federal-compliance-requirements", "state-compliance-requirements", "accrediting-agency-regulations" ], "domainSpecificKnowledge" : [ "Pharmacy technician practice", "Federal compliance requirements", "State compliance requirements", "Accrediting agency regulations" ], "toolProficiency" : [ "MS Office", "Microsoft Teams", "Learning management systems", "Student information systems", "Synchronous instructional tools" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Home office setup, Quiet place to work, High-speed internet connection, Flexibility to work evenings, Flexibility to work weekends", "outcomesObjectives" : "Enhance student success; Foster student retention; Support student certification; Celebrate graduation milestones; Facilitate career placements", "qualificationsBasic" : "3 years of experience as pharmacy technician, Pharmacy Technician certification, State license or registration as pharmacy technician, Fluent in verbal and written English, Ability to support diverse and inclusive work environment, Basic computer skills", "qualificationsPreferred" : "Experience applying adult learning principles, Experience with blended learning, Proficient in MS Office, Proficient in Microsoft Teams, Familiarity with learning management systems, Familiarity with student information systems, Familiarity with synchronous instructional tools", "workSiteFlexibility" : "Hybrid", "rawDescription" : "American Institute, founded in 1924 as the Hartford Secretarial School, provides hands-on training for careers in the world of business, legal, allied healthcare, diagnostic medical sonography, and information technology. Recognizing our single, well-defined teaching mission: reflecting job market demands with flexibility in identifying and incorporating new programs to give our graduates an edge in today’s competitive job market. As an Adjunct team member, you will have access to the following benefits: 401k (eligible upon completion of 90 days of employment and must be at least 18 years of age) Purpose of the Position: As an Instructor, you will empower students by delivering engaging and effective instruction. You collaborate closely with program leaders and other departments to enhance student success, foster retention, support certification, celebrate graduation milestones, and facilitate successful career placements. Our commitment lies in promoting the overall well-being and integrity of our educational programs and our students. What you’ll do: Deliver Centralized Curriculum: Teach the standardized education curriculum according to an assigned schedule. Create a learning environment that fosters students’ academic growth and guides their professional development. Engage Students: Facilitate discussion forums and interactive course contributions to promote student interaction and engagement. Avail self to students other than class time, e.g., office hours, for additional educational engagement. Monitor Student Progress: Grade course activities and post grades on a weekly basis. Proactively track student performance and provide timely academic feedback. Support Student Success: Create learning support tools tailored to students’ demonstrated needs. Provide academic feedback in a constructive, positive, and timely manner. Maintain Professionalism: Adhere to policies, maintain an up-to-date faculty file, and communicate effectively with program leadership and students per established expectations and timelines. Perform other duties as assigned. Career Level Expectations: Applies broad theoretical job knowledge typically obtained through post-secondary education or equivalent work experience. Work is supervised. Handles problems and uses critical thinking to solve. Communicates facts, policies and practices related to job area. Desire for growth and professional development. Required Skills/Experience: Minimum of 3 years of experience as a pharmacy technician. Pharmacy Technician certification and/or state license or registration as a pharmacy technician in good standing. Skills and abilities – communication and presentation skills, organization, people-orientation, time management, and high energy. Ability to professionally communicate fluently in verbal and written English. Ability to support a diverse and inclusive work environment. Computer literacy/basic computer skills to effectively navigate and utilize the technology required for the role. Preferred Requirements: Prior experience applying adult learning principles and practices to blended learning in a classroom or online classroom environment. Proficient in MS Office (Word, Excel, PowerPoint) and other business tools such as Microsoft Teams. Other skills and abilities - ability to inspire students to meet career goals by tying course curriculum to potential career outcomes; familiarity with learning management systems, student information systems, and synchronous instructional tools. Compliance: Demonstrate knowledge of and carefully follow all applicable federal and state compliance requirements and regulations including those prescribed by the U. S. Department of Education, accrediting agencies, state regulations, and internal policies and procedures. Effectively communicate compliance requirements to other staff as appropriate and quickly escalate any compliance concerns to the Compliance department. Work Environment/Physical Demands: This is a hybrid position; in-person instruction, office hours, laboratory work, online instruction, and preparation time are required. Home office set up, quiet place to work, and ability to hard wire into high-speed internet connection. May require setup of computer equipment; accommodation consideration available upon request. Flexibility to work evenings and weekends, as needed. Application Deadline: 7/12/2026 Anticipated starting salary is based on experience and qualifications. Compensation Range $27—$27 USD OUR CORE VALUES Caring We believe every student has the potential to be successful in a rewarding career, with the right support. We partner with you from your first day of classes through your search for a job after graduation. Respect We view everyone who enters American Institute as a productive adult who deserves respect and the opportunity to excel. Our staff and instructors are dedicated to helping you achieve your goals and realize your potential. Service American Institute is committed to the professional and academic success of each student by actively seeking opportunities to provide service both within the campus as well as within the surrounding community. Integrity We look forward, not backward. No matter where you come from or what obstacles you’ve faced in the past, we believe your future is yours to create. Accountability When you commit to us, we commit to you. When you walk into American Institute, we focus on helping you continue to move forward, so you can create the life you want to live. Innovation We know that the sooner you have the knowledge and skills you need to begin your career, the sooner you can become successful. 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Broward College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and persistence; (3) technology competencies as well as teaching/counseling skills and strategies that facilitate 21st century literacies; (4) the use of resources that prepare students for productive lives; (5) experience using various educational technological mediums. **Minimum Education:** Bachelor's Degree in Automotive Technology or a related field **OR** Associate's Degree in Automotive Technology or a related field **AND** 2 years work experience in field **AND** demonstrated teaching competence **AND** ASE Master Technician Certification required **Minimum Experience/Training:** Prior college teaching experience is preferred. **Position Time Type** Part time **Position Number** P0092392 **Department** Auto-Marine **Salary Range** $2,181.00 - $2,386.02 (Salary commensurate with education and experience) **Posting End Date** Open Until Filled **Work Schedule** Monday – Friday/Weekends/Varies **Comments** To be considered for this position, a completed online employment application form along with a resume and unofficial transcript are required. **Designated Essential Personnel** No **Special Instructions to Applicant:** For positions requiring a degree, official transcripts are required upon hire. An unofficial copy of the degree/transcript is acceptable during the application process and must be attached to the online application. If unable to attach the documentation, please email the document to [jobs@broward.edu](mailto:jobs@broward.edu) or fax to **954-201-7612,** stating clearly the **position name(s)** and **position number(s)** the transcript is to be attached to. Foreign Transcript: Transcripts issued outside of the United States require an equivalency statement from a certified transcript evaluation service verifying the degree equivalency to that of an accredited institution within the USA. This report must be attached with the application and submitted by the application deadline. All required documentation must be received on or before the job posting end date. ****Please note that multiple documents can be uploaded in the “Resume/CV/Transcript/License/Certification” section of the application**** **_Please refer to the link with the instructions on how to submit an application with multiple documents._**[ https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf](https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf). Employment is contingent upon the successful completion of the required background screening process. Broward College uses E-Verify to check employee eligibility to work in the United States. You will be required to complete an I-9 Form and provide documentation of your identity for employment purposes Broward College is an equal opportunity employer and strongly encourages applications from eligible veterans and spouses of veterans, underrepresented groups, including minorities, women, and persons with disabilities. The College does not discriminate on the basis of age, color, disability, gender identity, genetic information, national origin, race, religion, sexual orientation or any other legally protected classification. For inquiries regarding Title IX and the college’s non-discrimination policies, contact the Vice President, Talent and Culture at 954-201-7449, Broward College, 6400 NW 6th Way, Fort Lauderdale, FL 33309**.** Applicants needing a reasonable accommodation with the application process, please contact the Talent and Culture Department at [nanders1@broward.edu](mailto:nanders1@broward.edu) **Disclaimer** The intent of this description is to illustrate the types of duties and responsibilities that will be required of positions given this title and should not be interpreted of describe all the specific duties and responsibilities that may be required in any particular position. Directly related education/experience beyond the minimum stated may be substituted where appropriate at the discretion of the Appointing Authority. Broward College reserves the right to revise or change job duties, job hours, and responsibilities.", "summaryDescription" : "Adjunct Instructor, Automotive Service Management Technology (Pooled Position, South Campus) at Broward College. Facilitate needs of diverse learners. Prepare students for productive careers", "postedDate" : "2026-06-09T03:21:06.695", "createdAt" : "2026-06-12T03:21:06.660", "lastUpdated" : "2026-06-14T22:55:12.437", "ingestTimestamp" : "2026-06-12T03:21:06.660", "mongoId" : "6a2ab7ec74d8ee00a06e451d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://browardcollege.wd5.myworkdayjobs.com/PT/job/South-Campus/Adjunct-Instructor--Automotive-Service-Management-Technology--Pooled-Position--South-Campus-_REQ-000048475-1", "salaryAnnualMin" : 2181, "salaryAnnualMax" : 2386, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Teaching competence", "Automotive Technology", "Automotive Service Management", "ASE Master Technician Certification" ], "skillCount" : 4, "jobCategory" : "engineering", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2eb47f74d8ee00a0e802cc", "title" : "Adjunct Instructor - Music & Technology", "company" : "Stevens Institute of Technology", "industry" : "Education", "salary" : { "min" : 5425.0, "max" : 5425.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Hoboken, NJ - Main Campus", "locations" : [ "Hoboken, NJ - Main Campus", "United States of America" ], "timestamp" : "2026-06-15T22:33:02.211", "fingerprint" : "56d4d418258e76e6b6acb3e4edf6efcd3e922a11ae44d67262bb76dc0ddf891a", "source" : "workday", "language" : "en", "applyUrl" : "https://stevens.wd5.myworkdayjobs.com/External/job/Hoboken-NJ---Main-Campus/Adjunct-Instructor---Music---Technology_RQ30089", "externalId" : "RQ30089", "industryFunction" : { }, "locationPoint" : "51.17611,4.34844", "structuredLocations" : [ { "city" : "Hoboken", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7433066,-74.0323752" } ], "locationText" : "Hoboken, New Jersey, United States", "employmentType" : "PART_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** The School of Humanities, Arts and Social Sciences (HASS) of Stevens Institute of Technology has adjunct openings in the Program in Music & Technology for the following course for the fall 2026 semester: HMU 310 Orchestration I Under this appointment, your responsibilities will include preparing and maintaining course syllabus, teaching assigned classes, attending all class sessions, grading and providing appropriate feedback to students, scheduling office hours, completing all assessments requirements, and attending at least one orientation meeting. You will also be required to provide your students and the HASS office with a comprehensive course syllabus before the start of the semester. The syllabus should include all course requirements, grading policy, assignments, expected exams and required reading. You will provide us with your textbook order in-time for materials to arrive well in advance of the first week of classes. Finally, you will be required to adhere to the policies as stated in the HASS faculty handbook. Qualifications: MFA in Music with preference for a candidate who has taught this particular class before. Experience teaching at the university level required. On-line applications required at . Positions will remain open until filled. Applicants should be sure to include a cover letter, current c.v., and names and addresses of three references. Please combine all documents into a single PDF file prior to submission. For questions about this adjunct position, please contact Teresa Nakra at [tnakra@stevens.edu](mailto:tnakra@stevens.edu) For more information, please visit: **Department** School of Humanities, Arts and Social Sciences **Compensation Range** In compliance with the New Jersey Wage Transparency Act, the base salary range for this position is listed below. This range represents the University’s good faith estimate of possible compensation at the time of posting. Stevens Institute of Technology determines compensation based on factors including the position’s scope and responsibilities, the candidate’s experience, education, skills, internal equity, market data, and organizational considerations. The final salary will be set considering departmental budget, qualifications, and relevant credentials. **Standard:** $5,425 **4-hour Studio:** $5,700 **Discussion Section Leaders:** $1,350 **General Submission Guidelines:** Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job. **Academic Submission Guidelines: ** Please submit: * Cover letter * Curriculum vitae * Research statement * Teaching statement that includes a) teaching interests, b) teaching philosophy, and c) a plan on how to create an inclusive environment for students of all backgrounds in terms of classroom teaching, student advising, and graduate student mentoring * Contact info for at least 2-3 references (school-specific; please refer to job posting) **Still Have Questions?** If you have any questions regarding your application, please contact [_Jobs @Stevens.edu_](mailto:Jobs@Stevens.edu). **EEO Statement:** Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status. Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes. Stevens seeks candidates who will contribute to a welcoming and inclusive environment for all students, faculty and staff. **Jeanne Clery Disclosure:** In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click [_here_](https://assets.stevens.edu/mviowpldu823/1xDT9tH1ROkwt9ThRZC4RS/cee9302d8545b993ce96d87787da30c0/Stevens_Annual_Security_Safety_Report-2022.pdf) for a copy of this report.", "summaryDescription" : "Adjunct Instructor - Music & Technology at Stevens Institute of Technology", "postedDate" : "2026-06-11T21:15:30.315", "createdAt" : "2026-06-14T21:15:30.299", "lastUpdated" : "2026-06-15T22:33:02.211", "ingestTimestamp" : "2026-06-14T21:15:30.299", "mongoId" : "6a2eb47f74d8ee00a0e802cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://stevens.wd5.myworkdayjobs.com/External/job/Hoboken-NJ---Main-Campus/Adjunct-Instructor---Music---Technology_RQ30089", "salaryAnnualMin" : 5425, "salaryAnnualMax" : 5425, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "executive", "dataQualityScore" : 0.7777778, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306b15f292fd229cfcf412", "title" : "Senior Manager Artificial Intelligence & Data", "company" : "Deloitte", "industry" : "Accounting", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager Artificial Intelligence & Data in Amsterdam, Netherlands, adjusted for Deloitte's company size and the retail industry." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-16T12:31:40.740", "fingerprint" : "af8e6dc3224d0d8d4070be4c3e30ea5b664fceea08a669a6a185f934809964e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeloitteNetherlands/744000132233163-senior-manager-artificial-intelligence-data-consumer", "externalId" : "744000132233163", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, Data Science, Data Management, Data Analytics, Azure, AWS, Databricks, Agentic AI", "professionalSkills" : [ "Programme leadership", "Business development", "Strategic insight", "Client relationship management" ], "hardSkillsList" : [ "AI strategy", "Data management", "AI implementation", "Revenue growth management", "Supply chain optimisation", "Consumer intelligence" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "AI strategy", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Revenue growth management", "level" : "intermediate" }, { "name" : "Supply chain optimisation", "level" : "intermediate" }, { "name" : "Consumer intelligence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Strategy, Data Management, Agentic AI, Retail/CPG", "majorSkillsList" : [ "AI Strategy", "Data Management", "Agentic AI", "Retail/CPG" ], "coreResponsibilities" : "Lead multidisciplinary teams, Advise senior stakeholders on AI strategy, Advise senior stakeholders on data management, Advise senior stakeholders on Agentic AI implementation, Accelerate the AI transition in CPG and retail, Drive business development, Deliver scalable Data/AI solutions, Deliver sustainable Data/AI solutions, Deliver solutions across revenue growth management, Deliver solutions across supply chain optimisation, Deliver solutions across sustainability, Deliver solutions across consumer intelligence, Combine strategic insight with hands-on programme leadership, Act as a recognised CPG & Retail authority, Shape the future of the consumer business, Lead AI strategy, Lead Agentic AI implementation, Lead enterprise data management, Fast-track clients’ AI transition, Deliver solutions across revenue growth management, Deliver solutions across supply-chain optimisation, Deliver solutions across sustainability, Deliver solutions across consumer intelligence, Head cross-functional teams across Deloitte, Provide hands-on leadership for complex transformation programmes, Serve as a key advisor to senior client, Drive business development to win strategic accounts, Build scalable solutions, Build sustainable solutions, Realise client ambitions", "teamCollaboration" : "Multidisciplinary teams; 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We offer a flexible, standards-aligned curriculum delivered by highly qualified teachers, providing 24/7 access to learning. As a premier online academy, we tailor our instruction to meet the unique needs of every student—from advanced learners to those seeking a safe, bully-free environment. We are seeking teachers who are excited to create a rigorous and nurturing classroom environment that prioritizes student learning and social-emotional development. ACCEL Schools uses a cutting-edge 21st-century curriculum, which can be accessed online and through a variety of traditional methods.  Please note – while this is an online school position and all instruction occurs virtually, travel and face to face attendance will be required several times per year to support in person state testing and student events. Eligibility: Open to residents of Ohio About the Opportunity Serve as the teacher of record and primary instructor in all core content areas and grade levels Relentlessly work to meet all goals related to student achievement and culture as well as state specific academic accountability goals Deliver highly effective live lessons via web conference based on student need, rooted in research-based instructional practices Complete course set up for each course within the Learning Management System Monitor student progress in asynchronous courses and provide feedback/grade assignments daily Track and maintain contact with each student Collaborate with Principal to create and deliver Progress Reports of Students Review student level data frequently to inform instructional program adjustments Differentiate instruction to meet the needs of all students Utilize research-based best practices in both synchronous and asynchronous instruction Create a joyful, caring, and loving classroom environment for all students Integrate culturally responsive teaching practices into daily lessons and interactions with students, parents, and colleagues Implement school-wide culture expectations and norms, inside the classroom and beyond Communicate regularly with families regarding the academic and social-emotional growth of their child Incorporate 21st century technology skills into daily classroom practice and team settings Participate in the planning and implementation of non-instructional activities such as social events and field trips and attend these events in person Collaborate and communicate effectively, humbly, and respectfully with all colleagues Travel to support required face-to-face state testing annually Perform other duties as assigned About You Current Ohio teaching license in appropriate content area Knowledge of State Standards and Common Core Standards Preferred two years’ experience teaching High level of comfort working in a growth-focused coaching environment based on frequent observations, debriefs, action planning, and progress monitoring High quality written and verbal communication skills High proficiency in Microsoft Office products including Word and Outlook Ability to properly manage confidential information Ability to stand for up to 90 minutes at a time Ability to supervise students in all school settings Ability to pass federal and state criminal background checks Experience working in a multi-cultural setting preferred About Us “We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick-and-mortar, virtual, and hybrid schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities. We offer the following benefits: Compensation and Benefits: The compensation and benefits information below is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.   The annual starting salary for this position is between $43,000 – $51,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Life benefits – time & peace of mind Paid time off Retirement contributions Optional Basic Life and AD&D insurance Voluntary life insurance (employee, spouse, child) Discounted childcare at Early Learning Academies locations Health benefits – stay well & thrive Medical, dental, and vision insurance Employee Assistance Program Voluntary short-term disability insurance Voluntary long-term disability insurance Career benefits – keep growing Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals EQUAL EMPLOYMENT OPPORTUNITY It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.", "summaryDescription" : "Computer Science Teacher at ACCEL Schools. Skills: Student achievement, Social-emotional development, Academic accountability. Serve as teacher of record. 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Broward College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and persistence; (3) technology competencies as well as teaching/counseling skills and strategies that facilitate 21st century literacies; (4) the use of resources that prepare students for productive lives; (5) experience using various educational technological mediums. **Minimum Education:** Bachelor's Degree in Automotive Technology or a related field **OR** Associate's Degree in Automotive Technology or a related field **AND** 2 years work experience in field **AND** demonstrated teaching competence **AND** ASE Master Technician Certification required **Minimum Experience/Training:** Prior college teaching experience is preferred. **Position Time Type** Part time **Position Number** P0092392 **Department** Auto-Marine **Salary Range** $2,181.00 - $2,386.02 (Salary commensurate with education and experience) **Posting End Date** Open Until Filled **Work Schedule** Monday – Friday/Weekends/Varies **Comments** To be considered for this position, a completed online employment application form along with a resume and unofficial transcript are required. **Designated Essential Personnel** No **Special Instructions to Applicant:** For positions requiring a degree, official transcripts are required upon hire. An unofficial copy of the degree/transcript is acceptable during the application process and must be attached to the online application. If unable to attach the documentation, please email the document to [jobs@broward.edu](mailto:jobs@broward.edu) or fax to **954-201-7612,** stating clearly the **position name(s)** and **position number(s)** the transcript is to be attached to. Foreign Transcript: Transcripts issued outside of the United States require an equivalency statement from a certified transcript evaluation service verifying the degree equivalency to that of an accredited institution within the USA. This report must be attached with the application and submitted by the application deadline. All required documentation must be received on or before the job posting end date. ****Please note that multiple documents can be uploaded in the “Resume/CV/Transcript/License/Certification” section of the application**** **_Please refer to the link with the instructions on how to submit an application with multiple documents._**[ https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf](https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf). Employment is contingent upon the successful completion of the required background screening process. Broward College uses E-Verify to check employee eligibility to work in the United States. You will be required to complete an I-9 Form and provide documentation of your identity for employment purposes Broward College is an equal opportunity employer and strongly encourages applications from eligible veterans and spouses of veterans, underrepresented groups, including minorities, women, and persons with disabilities. The College does not discriminate on the basis of age, color, disability, gender identity, genetic information, national origin, race, religion, sexual orientation or any other legally protected classification. For inquiries regarding Title IX and the college’s non-discrimination policies, contact the Vice President, Talent and Culture at 954-201-7449, Broward College, 6400 NW 6th Way, Fort Lauderdale, FL 33309**.** Applicants needing a reasonable accommodation with the application process, please contact the Talent and Culture Department at [nanders1@broward.edu](mailto:nanders1@broward.edu) **Disclaimer** The intent of this description is to illustrate the types of duties and responsibilities that will be required of positions given this title and should not be interpreted of describe all the specific duties and responsibilities that may be required in any particular position. Directly related education/experience beyond the minimum stated may be substituted where appropriate at the discretion of the Appointing Authority. Broward College reserves the right to revise or change job duties, job hours, and responsibilities.", "summaryDescription" : "Adjunct Instructor, Automotive Service Management Technology (Pooled Position, South Campus) at Broward College. Skills: Automotive repair, Service management, Instruction. Teach automotive service management technology courses. 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As an AI Engineer at HiO, you’ll craft scalable, low-latency AI systems - from LLM orchestration to real-time APIs - using Python, LangGraph, and modern cloud stacks. Fast-paced, high-impact, and deeply hands-on. What you’ll do Design, build, and mainta", "summaryDescription" : "Senior Artificial Intelligence Engineer at Talentuch. Skills: AI Engineering, LLM orchestration. Design AI systems. Build AI systems", "createdAt" : "2026-06-14T05:23:39.070", "lastUpdated" : "2026-06-15T09:29:48.041", "ingestTimestamp" : "2026-06-14T05:23:39.070", "mongoId" : "6a21a17974d8ee00a0ca1864", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Low-latency systems", "AI Engineering", "LLM orchestration", "System design", "Agentic AI", "Real-world CX" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309c10f292fd229c0f6ad3", "title" : "Central Technology Center Lead", "company" : "Walden Security", "salary" : { "min" : 19.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Knoxville", "locations" : [ "Knoxville" ], "timestamp" : "2026-06-16T11:33:16.616", "fingerprint" : "72598061ae5c17ca2b27eb46fc31acd217be3165cdc1763aaa5c97f8b82466f0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/waldensecurity/jobs/5164576007", "externalId" : "5164576007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Knoxville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.9603948,-83.9210261" } ], "locationText" : "Knoxville, Tennessee, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : false, "rawDescription" : "#security Security Operations Center Lead needed in Knoxville 7am-3pm Summary: Our Security Officers protect the Industrial or Commercial property of our clients against fire, vandalism, and illegal entry. Our clients range from Class-A Office Buildings, Luxury Residential Properties, Distilleries, Fortune 500 Companies, Financial Institutions, Telecommunications, Manufacturing/Industrial Factories, Hospitals, and many others. The successful candidate will be a problem solver, possess critical thinking skills, and be detail-oriented. This position is responsible for using best practices for communicating information surrounding those incidents to leadership as appropriate. The CTC Operator 1 will monitor cameras and alarms, dispatch associated calls via telephone and radio, and provide general assistance to both employees and guests. The Lead is responsible for answering routine and emergency calls, monitoring alarms and video equipment including video alarms, door alarms, and duress alarms, and providing general assistance to employees, vendors, and guests. Essential Duties and Responsibilities: The Lead responsible for monitoring various tools to assist in identifying threats and/or risks to the organization. The Lead 1 will coordinate response to life safety incidents (medical, safety, natural disasters, etc.) and dispatch security officers, CRT, facilities, police, fire, and EMS personnel as required via telephone, radio and/or software systems provided by Walden Security. The Lead maintains various records of communications and events. Able to manage and handle situations of a sensitive nature and maintain the company’s confidentiality and information security practices (personnel issues, investigations, public relations incidents, emergency personnel contact information, etc.). Conduct investigative video reviews and report findings; Assist in conducting investigations and update requestors promptly Properly document all reported incidents, notifying appropriate parties for information, escalation, or other business-required actions Ensure all systems within the CTC are functioning properly and report deficiencies as necessary. Coordinate the response of on-site security personnel utilizing surveillance tools equipped with intrusion detection to identify individuals in restricted areas. Proactively monitor developments of extreme or adverse atmospheric conditions such as hurricanes, tornadoes, floods, blizzards, severe thunderstorms, and other weather phenomena that can cause damage, disruption, or threats to life and property. In the event of an ongoing police or fire emergency in proximity to an asset, you will be expected to promptly collect real-time information and alert the relevant offices or employees affected. Maintain situational awareness during planned and unplanned civil demonstrations near assets, identifying signs of unruly behavior or clashes with external security forces using news sources and subscribed intelligence tools. Manage and prioritize employee security concerns through email, phone, and internal messaging platforms to ensure efficient support and resolution of requests. Strong understanding and troubleshooting capabilities for CCTV, Physical Access Control, and various Security Software Platforms utilized by the organization. Must be detail-oriented, organized with the ability to multitask in a fast-paced, deadline-oriented environment. Ability to analyze problems, identify causes, and implement results-oriented solutions. Excellent organizational and time management skills. Must possess strong computer skills with a high proficiency in the Microsoft workspace and an ability to find information fast. A professional demeanor, along with excellent customer service skills Ability to work independently while also being a team player. Excellent verbal and written communication skills in English. Fluency in other languages is a plus. Conduct routine alarm testing and remote audits. Maintain daily logs and prepare and provide reports as required. An analytical mindset with the ability to identify and escalate critical issues. Position requires sitting and screen exposure for extended periods. Competency To perform the job successfully, an individual should demonstrate the following competencies (minimum of 5): Problem Solving - Identifies and resolves problems promptly; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem-solving situations; Uses reason even when dealing with emotional topics. Technical Skills - Assesses own strengths and weaknesses; Pursues training and development opportunities; Strives to continuously build knowledge and skills; Shares expertise with others. Customer Service - Manages difficult or emotional customer situations; Responds promptly to customer needs; Solicits customer feedback to improve service; Responds to requests for service and assistance; Meets commitments. Interpersonal Skills - Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Keeps emotions under control; Remains open to others' ideas and tries new things. Oral Communication - speaks very clearly and persuasively in positive or negative situations; listens and gets clarification; responds well to questions; demonstrates group presentation skills; participates in various meetings. Written Communication - Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read and interpret written information. Diversity- Demonstrates knowledge of EEO policy; Shows respect and sensitivity for cultural differences. Educates others on the value of diversity, promotes a harassment- free environment, and builds a diverse workforce. Ethics - Treats people with respect; Keeps commitments; inspires the trust of others; Works with integrity and ethically; Upholds organizational values. Organizational Support – Follows policies and procedures; Completes administrative tasks correctly and on time; supports organization’s goals and values; Benefits the organization through outside activities; Supports affirmative action and respects diversity. Judgement – Displays willingness to make decisions; Exhibits sound and accurate judgement; Supports and explains reasoning for decisions; Includes appropriate people in decision-making process; Makes timely decisions. Professionalism – Tactfully approaches others; Reacts well under pressure. Treats others with respect and consideration regardless of their status or position; accepts responsibility for own actions; Follows through on commitments. Quality - Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality. Safety and Security - Observes safety and security procedures; Determines appropriate action beyond guidelines; Reports potentially unsafe conditions; Uses equipment and materials properly. Adaptability - Adapts to changes in the work environment; Manages competing demands; Changes approach or method to best fit the situation; Able to deal with frequent change, delays, or unexpected events; adapts to new product introduction, emergent business needs, and business evolution. Attendance/Punctuality - Is consistently at work and on time; Ensures work responsibilities are covered when absent; Arrives at meetings and appointments on time. Dependability - follows instructions, responds to management direction; takes responsibility for own actions; keeps commitments; commits to long hours of work when necessary to reach goals; completes tasks on time or notifies appropriate person with an alternate plan. Goal and detail-oriented. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. High School diploma or General Education Degree (GED) Minimum of 25 years of age Ability to pass a criminal background check and drug test To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Minimum of 1 year of customer service experience. It is preferred to have a minimum of 1+ years of experience in a physical Security Operations Center (SOC), a GSOC, or experience in security and/or law enforcement positions or dispatch centers. Requires a year of related experience in any of the following categories: crisis management, physical security, critical infrastructure protection, risk controls, or loss prevention. Experience in alarm monitoring You have a working knowledge of mass notification tools. You can rapidly analyze large amounts of information while maintaining composure during high-stress circumstances. You are prepared to work in a 24/7 operations center on a designated shift where you have the flexibility to cover extra hours as needed. Prior camera and/or alarm integrator experience is a plus. Language Skills Ability to read and comprehend simple instructions, short correspondence, and memos using the English language. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations, respond to questions from groups of managers, clients, customers, other employees of the organization, and the general public. Mathematical Skills Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Reasoning Ability Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. Computer Skills Ability to type at least 45 wpm. Proficient in Microsoft Windows 10 and Microsoft Office Products, including Outlook. Certificates, Licenses, Registrations Valid Driver's License Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to talk or hear. The employee is frequently required to stand, walk, sit, and use hands to finger, handle, or feel. The employee is occasionally required to reach with hands and arms; climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, the ability to adjust focus, and the ability to see and distinguish basic colors. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Other Tasks This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. #WaldenWay Pay Rate $19—$19 USD We offer every employee — from executive managers to administrative support to security professionals — unique and generous benefits, as well as opportunities for career growth. So if you’re ready to embark on a meaningful career with one of the nation’s most dynamic and fastest growing security companies, apply with Walden Security today.", "summaryDescription" : "Central Technology Center Lead at Walden Security", "postedDate" : "2026-06-16T03:16:57.200", "createdAt" : "2026-06-16T03:16:57.200", "lastUpdated" : "2026-06-16T11:33:16.616", "ingestTimestamp" : "2026-06-16T03:16:57.200", "mongoId" : "6a309c10f292fd229c0f6ad3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 19, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Security", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca67f74d8ee00a09bbd1b", "title" : "Director, Information Technology", "company" : "Crexi", "industry" : "Real Estate", "salary" : { "min" : 182000.0, "max" : 247000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Playa Vista, California, United States", "locations" : [ "Playa Vista", "California", "United States" ], "timestamp" : "2026-06-16T02:24:21.260", "fingerprint" : "f78ab2c7b60e65ca62033c3ec38e8989276b643bf26f7bec77e49716224f1b26", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/crexi/jobs/4705236005", "externalId" : "4705236005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Playa Vista", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9760102,-118.4181654" } ], "locationText" : "Playa Vista, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : false, "rawDescription" : "About Crexi Crexi is reimagining commercial real estate with an AI-powered platform built to deliver smarter, more efficient solutions at every stage of the deal lifecycle. From real-time data and market insights generated by Crexi Intelligence, to targeted property marketing and seamless deal management through Crexi PRO, and a transparent, time-bound bidding experience with Crexi Auction— Crexi enables users to evaluate opportunities, maximize exposure, and close with speed and confidence. To date, Crexi has facilitated over $1 trillion in transactions, 8.6 billion square feet leased, and supports a growing community of more than 2 million monthly active users. Crexi’s mission is to catalyze the next generation of commercial real estate through three core pillars: Access, Innovation, and Connection. Crexi’s platform democratizes CRE by providing unprecedented access to market insights and opportunities, accelerates CRE dealmaking with purpose-built technology that enhances speed and transparency; and empowers CRE professionals with a centralized platform designed for real-time collaboration and success. About This Role: The Director, Information Technology leads Crexi’s IT efforts, shaping strategy, overseeing teams, and optimizing technology solutions to support the growth and success of our company. With a focus on corporate IT and security infrastructure design and management, this role ensures that technology drives business excellence and compliance. What You’ll Do Provides leadership to the IT team, setting clear goals, objectives, and priorities. Oversees the day-to-day management and maintenance of corporate IT infrastructure, including end-user compute, office networks, SaaS tools, and corporate identity systems. Ensures the availability and performance of corporate IT systems and end-user services. Builds, mentors, and leads a high-performing IT team, fostering a culture of innovation, skill development, and accountability. Manages IT resources effectively and allocates them to support business priorities. Manages relationships with technology vendors and partners, including contract negotiations, performance evaluation, and strategic collaboration. Ensures vendor services align with business needs and standards. Oversees IT budgeting and financial planning, monitors expenses, and optimizes resource allocation. Identifies cost-saving opportunities and ensures adherence to budget constraints. Drives and participates in strategic IT initiatives, including corporate technology roadmaps and tooling improvements, and AI and automation adoption. Collaborates with cross-functional teams to execute these initiatives effectively. Ensures compliance with IT policies, procedures, and relevant standards (e.g., GDPR, ISO, SOC2), contributing to a strong IT governance framework. Evaluates and adopts AI and automation tools to improve operational efficiency, ensuring responsible and compliant use in alignment with company policy. Owns corporate security program, including endpoint protection, corporate identity and access management, physical security at HQ, the MSSP relationship, and security awareness and phishing programs. Who You Are Bachelor's degree in Information Technology, Computer Science, or a related field. Advanced degrees or certifications (e.g., CIO, CISM, or similar) are preferred. At least 12 years of experience in senior IT roles with a focus on technology strategy and operations. Deep knowledge of operating systems (Windows, Mac) and basic scripting languages. Strong knowledge of corporate identity and SaaS platforms (e.g., Azure AD/Entra, Microsoft 365, MDM/endpoint management tools). Exceptional leadership skills, with a track record of building and managing high-performing IT teams. Expertise in IT infrastructure management and data protection. In-depth knowledge of emerging technologies — including AI, machine learning, and automation tools — and trends in the commercial real estate and technology sectors is preferred. Experience owning or supporting SOC 2 Type II audits, including control design, evidence collection, and auditor coordination. Background in corporate security operations, including endpoint security, identity and access management, and security vendor oversight. Why Crexi? Rapidly growing startup with a dynamic work environment Flexible team structure with the ability to progress in career Health, Dental, and Vision insurance Collaborative culture and numerous team activities The California base pay range for this position is $182,000 - $247,000 per year with eligibility for generous bonus, equity, and healthcare insurance. The total compensation package offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, job-related skills, job level, and geographic location. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states. Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.", "summaryDescription" : "Director, Information Technology at Crexi", "postedDate" : "2026-06-14T19:20:42.410", "createdAt" : "2026-06-14T19:20:42.410", "lastUpdated" : "2026-06-16T02:24:21.260", "ingestTimestamp" : "2026-06-14T19:20:42.410", "mongoId" : "6a2ca67f74d8ee00a09bbd1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 182000, "salaryAnnualMax" : 247000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c9dc274d8ee00a099cce2", "title" : "Manager Engineering, Artificial Intelligence & Data", "company" : "Deloitte", "industry" : "Accounting", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Manager Engineering, Artificial Intelligence & Data in Amsterdam, Netherlands, adjusted for consulting industry and Deloitte's company size." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "certifications" : [ "CCST", "CCNA", "CCNP", "CCIE" ], "timestamp" : "2026-06-15T08:38:35.481", "fingerprint" : "9cc0f88d7358cc926e4ccfc77ca2f21983480bb7ff3502908e8a7b49aecfd2c9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeloitteNetherlands/744000131827105-manager-engineering-artificial-intelligence-data", "externalId" : "744000131827105", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, Azure, Microservices, Serverless, Databricks, Snowflake, Kafka, Airflow, LLMs, Prompt engineering, API, CI/CD, Infrastructure as code, Open source", "professionalSkills" : [ "Solution architecture", "Platform strategy", "Product strategy", "Value propositions", "Business development" ], "hardSkillsList" : [ "Data modeling", "AI orchestration", "Real-time data streaming", "Responsible AI" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "AI orchestration", "level" : "intermediate" }, { "name" : "Real-time data streaming", "level" : "intermediate" }, { "name" : "Responsible AI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Artificial Intelligence, Data Engineering, Cloud platforms, Software engineering", "majorSkillsList" : [ "Artificial Intelligence", "Data Engineering", "Cloud platforms", "Software engineering" ], "coreResponsibilities" : "Lead strategic growth, Lead commercial growth, Identify opportunities, Shape opportunities, Define proposals, Convert proposals, Pave way for experts, Pave way for engineers, Start with engagements, Deliver transformation programmes, Guide clients, Develop blueprints, Manage project lifecycle, Inspire project teams, Coach project teams, Develop project teams, Foster learning environment, Attract top talent, Develop top talent, Retain top talent, Champion high-performance culture, Build client relationships, Uncover strategic opportunities, Drive business development, Guide technology selection, Guide business decisions, Lead implementations, Define problem, Articulate value, Engage stakeholders, Structure teams, Coordinate build, Manage go-live, Provide post-launch support, Serve as advisor, Translate concepts, Mentor junior colleagues, Build high-performing teams, Deliver exceptional results", "teamCollaboration" : "Multidisciplinary project teams; Cross-functional teams; Senior executives; Diverse stakeholders; Business and IT", "projectManagementSkills" : [ "Project lifecycle management" ], "domainKnowledge" : "Enterprise data platforms; Cloud-native architectures; Emerging technologies; Generative AI; Advanced analytics; Event-driven architecture; DevOps; Platform engineering; On-premise infrastructure", "domainList" : [ "enterprise-data-platforms", "cloud-native-architectures", "emerging-technologies", "generative-ai", "advanced-analytics", "event-driven-architecture", "devops", "platform-engineering", "on-premise-infrastructure" ], "domainSpecificKnowledge" : [ "Enterprise data platforms", "Cloud-native architectures", "Emerging technologies", "Generative AI", "Advanced analytics", "Event-driven architecture", "DevOps", "Platform engineering", "On-premise infrastructure" ], "toolProficiency" : [ "Databricks", "Snowflake", "Kafka", "Airflow" ], "communicationSkills" : "Clear insights; Actionable insights; Inspiring teams; Aligning stakeholders", "continuousLearning" : "Continuous growth", "problemSolvingSkills" : "Simplify complex topics", "outcomesObjectives" : "Convert opportunities into impactful programmes; Deliver transformation programmes; Build long-term client relationships; Deliver exceptional results", "qualificationsBasic" : "7+ years experience software engineer, 7+ years experience solution architect, Shaping large-scale Engineering transformation programmes, Delivering large-scale Engineering transformation programmes, Shaping large-scale Cloud transformation programmes, Delivering large-scale Cloud transformation programmes, Shaping large-scale AI transformation programmes, Delivering large-scale AI transformation programmes, Shaping large-scale Data transformation programmes, Delivering large-scale Data transformation programmes, Advising senior executives, Acting as strategic partner", "qualificationsPreferred" : "AWS certification, Azure certification, CCST certification, CCNA certification, CCNP certification, CCIE certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Accelerate our growth in Engineering and contribute through your strategic vision, commercial drive and deep expertise in Engineering, AI and data-driven transformation. At Deloitte. * Lead strategic and commercial growth of AI & Data offerings ; * Identify and shape opportunities, define proposals, and convert them into impactful engagements; * Pave the way for (our) technology experts and software engineers to start with engagements around platform and product strategy, design and architecture; * Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies; * Guide clients in developing Engineering, AI & Data blueprints and roadmaps; * Manage the full project lifecycle, from early visioning to implementation and adoption; * Inspire, coach and develop multidisciplinary project teams; * Foster a learning environment with continuous growth opportunities; * Partner with Talent teams to attract, develop and retain top talent; * Champion a high-performance culture based on collaboration and integrity. ## Qualifications Experience and leadership * 7+ years of experience as a software engineer and solution architect, delivering complex, enterprise-grade systems * Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end * Extensive experience advising senior executives and acting as a strategic partner Technology expertise * Deep passion for technology, combining broad knowledge with strong depth in key domains * Able to simplify complex technical topics into clear, actionable insights In-depth experience with various technology stacks, including: * Cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes; * Data and AI platforms: Databricks, Snowflake, real-time data streaming (e.g., Kafka, Airflow) and MLOps; * Generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsible AI; * Integration and APIs: event-driven architecture and API management; * DevoOps and platform engineering: CI/CD, infrastructure as code and observability; * On-premise infrastructure and open source tools; * Networking: CCST / CCNA / CCNP, CCIE, etc. Commercial and stakeholder impact * Strong commercial mindset, with the ability to identify opportunities, shape value propositions and build long-term client relationships * Excellent communication and leadership skills, inspiring teams and aligning diverse stakeholders * Proven ability to navigate complex stakeholder environments across business and IT * Self-starter with the ability to build a business ## Additional Information Join our Engineering, AI & Data practice as a Manager and take the lead in shaping transformative solutions for our clients. You'll drive business growth, lead complex transformation programmes, and establish yourself as a trusted strategic partner. As a Manager in this role, you will build and nurture strong client relationships while uncovering strategic opportunities to drive business development. You'll guide clients through technology selection and critical business decisions, leveraging your versatile background to lead comprehensive end-to-end implementations. From problem definition and value articulation through stakeholder engagement, team structuring, build coordination, go-live management, and post-launch support, you'll own the entire delivery lifecycle. Beyond your technical expertise, you'll serve as a trusted advisor, translating complex concepts into clear business outcomes for senior stakeholders. You'll also mentor and guide junior colleagues, fostering their professional growth and building high-performing teams that deliver exceptional results.", "summaryDescription" : "Manager Engineering, Artificial Intelligence & Data at Deloitte. Skills: Artificial Intelligence, Data Engineering, Cloud platforms, Software engineering. Lead strategic growth. Lead commercial growth", "postedDate" : "2026-06-12T07:23:20.000", "createdAt" : "2026-06-14T07:18:31.204", "lastUpdated" : "2026-06-15T08:38:35.481", "ingestTimestamp" : "2026-06-14T07:18:31.204", "mongoId" : "6a2c9dc274d8ee00a099cce2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "AI orchestration", "Real-time data streaming", "Responsible AI", "Leadership", "Mentoring", "Artificial Intelligence", "Data Engineering", "Cloud platforms", "Software engineering", "Solution architecture", "Platform strategy", "Product strategy", "Value propositions", "Business development", "Project lifecycle management", "Enterprise data platforms", "Cloud-native architectures", "Emerging technologies", "Generative AI", "Advanced analytics", "Event-driven architecture", "DevOps", "Platform engineering", "On-premise infrastructure", "CCST", "CCNA", "CCNP", "CCIE", "Databricks", "Snowflake", "Kafka", "Airflow" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3066fcf292fd229cfb7e54", "title" : "Director, Information Technology Infrastructure", "company" : "Nightingale Education Group", "industry" : "Education", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Information Technology Infrastructure in Salt Lake City, United States, adjusted for industry and company size." }, "location" : "OSC", "locations" : [ "OSC" ], "timestamp" : "2026-06-16T06:24:20.618", "fingerprint" : "8329494e43c50e70736eb40008fbc679aa0d0e43ed2695ad1581af757c79c12f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nightingalecollege/jobs/4257855009", "externalId" : "4257855009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Salt Lake City", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7596198,-111.8867970" } ], "locationText" : "Salt Lake City, Utah, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Director", "rawDescription" : "Build the Infrastructure That Powers a Mission At Nightingale Education Group, we're closing the nursing shortage — one learner at a time. Our work is bold, our team is passionate, and our technology has to keep pace with both. We're looking for a Director, IT Infrastructure who doesn't just keep the lights on — they build the grid. This is a senior leadership role for someone who thinks in systems, thrives in transformation, and knows how to translate deep technical expertise into organizational impact. You'll own the full IT infrastructure landscape — from hardware and networks to support operations — and you'll shape the long-term technology roadmap for a growing, mission-driven institution. If you're energized by the intersection of strategy and execution, and you want your work to matter beyond the server room, this is your seat at the table. What You'll Do Lead Infrastructure at Scale Drive infrastructure transformation initiatives that position Nightingale to grow efficiently and sustainably. Develop and execute the strategic direction for IT infrastructure — hardware, software, networks, and beyond. Ensure high availability and peak performance of IT systems across the organization. Set the Standard Implement and maintain IT infrastructure policies and procedures aligned with industry best practices and regulatory requirements. Stay ahead of emerging technologies and trends, bringing continuous improvement and innovation to everything you touch. Identify and implement process and policy improvements — and ensure they actually stick. Lead People and Projects Manage IT infrastructure projects end-to-end: conception, implementation, and evaluation. Lead, develop, and support your team across performance, behaviors, and competencies — investing in people as much as platforms. Collaborate cross-functionally to assess and address technology needs across the organization. Participate in hiring decisions, panel interviews, and candidate selection. Own the Budget Develop and manage the functional budget, ensuring resources and assets are deployed effectively within approved parameters. What You Bring Required Bachelor's degree in Computer Science, Information Systems, or a related field from an accredited institution. 10+ years of experience in IT infrastructure and support roles. 5+ years in a leadership or managerial role. 5+ years of hands-on experience in IT infrastructure planning and development. 5+ years working with systems and network architecture, information security principles, and IT best practices. A proven ability to translate complex technical concepts for non-technical stakeholders — clearly and confidently. Bonus Points COBIT and/or ITIL certification or demonstrated working knowledge. Budgeted Hiring Range $154,000—$168,000 USD All new hires are required to attend New Collaborator Orientation (NCO) in Salt Lake City, Utah. The College will cover travel, lodging, and other accommodations. Nightingale’s commitment to diversity and inclusion is reflected both in our learners and collaborators because we believe the best outcomes for learners from underserved and diverse populations are achieved through collaborators with similar backgrounds and cultures. Nightingale Education Group is an equal opportunity employer. Our Mission (not just words on the wall, we live it, love it, and daily contribute to it): With the primary focus on higher learning in healthcare professions, Nightingale Education Group contributes to elevating education, health, and employment systems through facilitation of academic achievement, personal growth, and professional development of its learners, alumni, and collaborators, while serving diverse communities. At Nightingale Education Group, our Innovative Education model helps transform rural health landscapes through our blended-distance learning platform. Every person involved with Nightingale Education Group helps to change the lives of our learners, our communities, and ultimately the world by adding to the quality of healthcare. We are proud to have graduated nearly 5,000 nurses serving communities in need. We are serious about our outcomes and have a little bit of fun getting there. The professional and personal development of our learners and our collaborators is our company’s foundation. Not only do we develop strategies that promote a positive work-life integration, but we also create an environment that invites you to become an expert in your field, be it through higher education or professional development. Put simply, we elevate employment, elevate health, and elevate education. We’re so happy that you’ve found us! Employment is contingent upon successful completion of a background check and drug screen.", "summaryDescription" : "Director, Information Technology Infrastructure at Nightingale Education Group", "postedDate" : "2026-06-15T23:28:14.210", "createdAt" : "2026-06-15T23:28:14.210", "lastUpdated" : "2026-06-16T06:24:20.618", "ingestTimestamp" : "2026-06-15T23:28:14.210", "mongoId" : "6a3066fcf292fd229cfb7e54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2eb47f74d8ee00a0e802cd", "title" : "Adjunct Instructor - Visual Arts & Technology", "company" : "Stevens Institute of Technology", "industry" : "Education", "salary" : { "min" : 5425.0, "max" : 5425.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Hoboken, NJ - Main Campus", "locations" : [ "Hoboken, NJ - Main Campus", "United States of America" ], "timestamp" : "2026-06-16T02:22:50.816", "fingerprint" : "d87998a0dee675d3db865cbc822f9282e51b348c78e5843497d9f68317b32950", "source" : "workday", "language" : "en", "applyUrl" : "https://stevens.wd5.myworkdayjobs.com/External/job/Hoboken-NJ---Main-Campus/Adjunct-Instructor---Visual-Arts---Technology_RQ30090", "externalId" : "RQ30090", "industryFunction" : { }, "locationPoint" : "51.17611,4.34844", "structuredLocations" : [ { "city" : "Hoboken", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7433066,-74.0323752" } ], "locationText" : "Hoboken, New Jersey, United States", "employmentType" : "PART_TIME", "coreResponsibilities" : "Teach courses in visual arts, Teach courses in technology, Develop curriculum for visual arts, Develop curriculum for technology, Advise students on academic progress, Advise students on career paths, Participate in departmental meetings, Contribute to college governance", "domainKnowledge" : "Visual arts; Technology", "domainList" : [ "visual-arts", "technology" ], "domainSpecificKnowledge" : [ "Visual arts", "Technology" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** The School of Humanities, Arts and Social Sciences (HASS) of Stevens Institute of Technology has adjunct openings in the Program in Visual Arts & Technology for the following course for the fall 2026 semester: HAR 271 Creative Programing I COURSE DESCRIPTION: In this interdisciplinary course, students will explore the computer as a tool of powerful creative possibility, not via pre-built software but instead by writing code. Students will learn about the structures and affordances of code, including iteration, recursion, randomness, interactivity, and object-oriented programming as an inspiration for making artworks. Social and political issues around code, such as open source software, will also be discussed. Students will be introduced to historical and contemporary artists and designers who use programming as their medium. Under this appointment, your responsibilities will include preparing and maintaining course syllabus, teaching assigned classes, attending all class sessions, grading and providing appropriate feedback to students, scheduling office hours, completing all assessments requirements, and attending at least one orientation meeting. You will also be required to provide your students and the HASS office with a comprehensive course syllabus before the start of the semester. The syllabus should include all course requirements, grading policy, assignments, expected exams and required reading. You will provide us with your textbook order in-time for materials to arrive well in advance of the first week of classes. Finally, you will be required to adhere to the policies as stated in the HASS faculty handbook. Qualifications: MFA in Visual Arts with a background that prepares the candidate to teach courses in creative programming. Experience teaching at the university level required. On-line applications required at . Positions will remain open until filled. Applicants should be sure to include a cover letter, current c.v., and names and addresses of three references. Please combine all documents into a single PDF file prior to submission. For questions about this adjunct position, please contact Kelland Thomas at [kthomas3@stevens.edu](mailto:kthomas3@stevens.edu) For more information, please visit: **Department** School of Humanities, Arts and Social Sciences **Compensation Range** In compliance with the New Jersey Wage Transparency Act, the base salary range for this position is listed below. This range represents the University’s good faith estimate of possible compensation at the time of posting. Stevens Institute of Technology determines compensation based on factors including the position’s scope and responsibilities, the candidate’s experience, education, skills, internal equity, market data, and organizational considerations. The final salary will be set considering departmental budget, qualifications, and relevant credentials. **Standard:** $5,425 **4-hour Studio:** $5,700 **Discussion Section Leaders:** $1,350 **General Submission Guidelines:** Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job. **Academic Submission Guidelines: ** Please submit: * Cover letter * Curriculum vitae * Research statement * Teaching statement that includes a) teaching interests, b) teaching philosophy, and c) a plan on how to create an inclusive environment for students of all backgrounds in terms of classroom teaching, student advising, and graduate student mentoring * Contact info for at least 2-3 references (school-specific; please refer to job posting) **Still Have Questions?** If you have any questions regarding your application, please contact [_Jobs @Stevens.edu_](mailto:Jobs@Stevens.edu). **EEO Statement:** Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status. Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes. Stevens seeks candidates who will contribute to a welcoming and inclusive environment for all students, faculty and staff. **Jeanne Clery Disclosure:** In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click [_here_](https://assets.stevens.edu/mviowpldu823/1xDT9tH1ROkwt9ThRZC4RS/cee9302d8545b993ce96d87787da30c0/Stevens_Annual_Security_Safety_Report-2022.pdf) for a copy of this report.", "summaryDescription" : "Adjunct Instructor - Visual Arts & Technology at Stevens Institute of Technology. Teach courses in visual arts. Teach courses in technology", "postedDate" : "2026-06-11T21:01:16.424", "createdAt" : "2026-06-14T21:01:16.413", "lastUpdated" : "2026-06-16T02:22:50.816", "ingestTimestamp" : "2026-06-14T21:01:16.413", "mongoId" : "6a2eb47f74d8ee00a0e802cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://stevens.wd5.myworkdayjobs.com/External/job/Hoboken-NJ---Main-Campus/Adjunct-Instructor---Visual-Arts---Technology_RQ30090", "salaryAnnualMin" : 5425, "salaryAnnualMax" : 5425, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Visual arts", "Technology" ], "skillCount" : 2, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3090c9f292fd229c0b7b04", "title" : "Director of Information Technology", "company" : "Tekmetric", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Information Technology in Houston, TX, adjusted for the SaaS industry and company size." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States", "Remote" ], "timestamp" : "2026-06-16T09:46:22.888", "fingerprint" : "dfdbec85c2159e71ee8c78fc8a36bd8647bee2caafe3b7b0cc44d6c289fe478d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tekmetric/jobs/6033186004", "externalId" : "6033186004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "About Tekmetric Tekmetric is the all-in-one, cloud-based platform helping auto repair shops run smarter, grow faster, and serve customers better. Built by a shop owner and shaped by the needs of the industry, Tekmetric brings together innovation, real-world experience, and a thriving community to help shops thrive - not just survive. From running a shop, to securing payments to engaging customers, our platform simplifies operations so shop owners can focus on what really matters: delivering exceptional service, earning trust, and growing sustainably. Officially founded in Houston in 2017, Tekmetric has grown from a single shop’s vision to the industry’s leading solution - all by staying true to our values of transparency, integrity, innovation, and a service-first mindset. But we’re not just building software. We’re building a movement. We’re empowering repair shops to rise above the daily grind, create meaningful connections with their customers, and lead the industry forward - one interaction at a time. Come build with us. Join the journey. Shape the future of auto repair. Working the Tekmetric Way At Tekmetric, we’re building a culture where winning matters - not for ego, but because when our customers win, we win together. We move fast, stay curious, and take full ownership of our results — no excuses, no finger-pointing. If you thrive in ambiguity, take initiative, and view honest feedback as fuel for growth, you’ll feel right at home here. We’re direct but respectful, ambitious yet grounded, and collaborative at every level. Everyone leads through impact and is encouraged to speak up, share ideas, and challenge assumptions (even your manager’s). This is a place for builders, not bystanders. Success here takes focus, follow-through, and a willingness to roll up your sleeves — but if you’re driven by meaningful work and real results, it’s deeply rewarding. You’ll join a team that cares about the work, supports one another, and takes smart risks to achieve bold goals. Be yourself, stay mission-focused, and you’ll thrive. If that energizes you, we can’t wait to meet you. At Tekmetric, great work happens anywhere, but great teams are built through intentional connection. We offer hybrid and remote work models based on your proximity to our office hubs. Because we value in-person collaboration, travel is an expected part of every role. We come together several times a year for team and company-wide offsites to align on goals and strengthen relationships. Attendance at these events is expected and fully supported. What You’ll Do We're entering our next phase of growth and we're looking for a Director of IT who's done this before — scaled an internal technology function through rapid growth and increasing complexity. This role isn't about maintaining what exists. It's about evolving it. You'll own our IT strategy, modernize our systems and tooling, embed security and compliance into how we operate, and lead the way we adopt and govern AI across the company. You'll work closely with Engineering, Security, Finance, People, and Operations — not just as a support function, but as a strategic partner who helps the business move faster and smarter. What We’re Looking For Experience leading IT strategy at a company of 500+ employees Proven track record of designing and scaling IT systems and tooling Strong understanding of modern SaaS ecosystems and architecture Experience implementing AI tools and/or defining AI strategy in a business context Ability to operate at both strategic and execution levels Strong cross-functional leadership and executive communication skills Experience partnering with security/compliance functions (SOC2, ISO, etc.) Why This Role Matters We’ve built a strong foundation. This role is about ensuring our internal technology scales with the business and becomes a competitive advantage You will be responsible for: Defining and leading the company’s IT strategy, creating a clear 12–24 month roadmap aligned with business priorities, growth plans, and operational needs Establishing accountability and process discipline across the organization — identifying where standards aren't being followed, setting clear expectations, and driving adoption even where there's resistance. Partnering closely with leadership to proactively identifying risks, opportunities, and gaps across systems, security, tooling, and processes Building strong relationships across the organization and leading through influence, ensuring teams adopt the right processes, controls, and ways of working Driving a company-wide tooling strategy, ensuring investments are thoughtful, scalable, cost-effective, and aligned with long-term business needs Establishing strong governance around systems, security, identity and access management, and AI usage across the company Developing processes and operating rhythms that allow the IT function to stay ahead of company growth rather than reacting to it Leading and developing the IT team, providing strategic direction while empowering the team to execute effectively Thriving in a fast-moving, high-growth environment with evolving priorities, ambiguity, and increasing complexity What Success Looks Like A clear, forward-looking IT roadmap aligned to business priorities A rationalized, scalable, and cost-efficient tool stack Strong internal AI adoption with clear governance and measurable impact Seamless employee IT experience at scale Security and compliance fully integrated into day-to-day operations What You’ll Bring Experience leading IT strategy and systems architecture at a 500–1500 employee company Experience in high-growth environments where the company scaled significantly over a 3–5 year period Proven success consolidating fragmented tooling environments and driving more standardized, scalable systems Deep experience with identity and access management in complex SaaS environments Strong judgment balancing security, compliance, and business speed Experience creating AI governance frameworks, evaluating AI tools, and driving responsible adoption across a company Strong understanding of modern SaaS ecosystems, integrations, automation, and internal systems architecture Ability to operate at both strategic and hands-on execution levels Strong cross-functional leadership and executive communication skills Experience partnering with security and compliance teams across frameworks like SOC2 and ISO We’ve built a strong foundation. This role is about ensuring our internal technology scales with the business and becomes a competitive advantage. Why You'll Love Working With Us Health & Wellness That Have You Covered: Enjoy the flexibility of remote work Competitive base salaries that reflect your value. Generous Paid Time Off, because we know you do your best work when you're well-rested. Support for every stage of life—with paid maternity, parental bonding, and medical leave for you or your loved ones. Comprehensive health benefits, including Medical, Dental, Vision, and Prescription coverage. For employee only, we offer plans that cover 100% of premiums and we cover 50% of costs for families. Prioritizing your mental health: get free, confidential counseling through our partnership with BetterHelp. Investing in Your Future (and Present): 401(k) Retirement Savings Plan with 100% employer match on contributions up to 6% - so your future self will thank you. Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) to make your money go further. Life and Accidental Death & Dismemberment (AD&D) Insurance for added peace of mind. Wellness on your terms: get up to $60/month toward fitness, mental health, or almost anything that helps you feel your best. After one year of employment, enjoy a $300 home office setup bonus to help make your space work for you. Keep growing with support for continuing education - we’re invested in your development. Most importantly, we have a stellar team of coworkers, a really cool office, and lots of fun activities! Tekmetric is an equal opportunity employer. We hire hard-working individuals, regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. We know that when our employees feel appreciated and included, they can be more creative, innovative and successful. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Tekmetric will never ask for your personal financial or banking information or require any financial commitment as part of our candidate search or application process. No job offers will be made without a formal interview process. All legitimate Tekmetric job postings are listed at tekmetric.com/careers. Recruiter communications come from @tekmetric.com email addresses.", "summaryDescription" : "Director of Information Technology at Tekmetric", "postedDate" : "2026-06-16T03:16:04.401", "createdAt" : "2026-06-16T03:16:04.401", "lastUpdated" : "2026-06-16T09:46:22.888", "ingestTimestamp" : "2026-06-16T03:16:04.401", "mongoId" : "6a3090c9f292fd229c0b7b04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e437f8b1b0376634c88c", "title" : "Executive Assistant, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Administrative Support, Artificial Intelligence", "salary" : { "min" : 66800.0, "max" : 142800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-16T04:27:03.284", "fingerprint" : "eb4f6c480b134c9b55b843d1124669d14052ca03a677131eeb77bf81f2be4d15", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3072562/apply", "externalId" : "65a1a7a1-b009-4fc5-8c94-f812fe84e87a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High school or equivalent diploma", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The Amazon Artificial General Intelligence organization is looking for an Executive Assistant to support two directors work within a fast-paced and exciting organization. This Executive Assistant will be responsible for handling confidential information and maintaining professionalism in dealing with senior executives. Role responsibilities include managing multiple complex calendars, planning and organizing events of all sizes, and coordinating domestic and international travel. A successful candidate will help build a positive team environment and establish working relationships inside and outside of the group. Basic Qualifications: - 5+ years of senior level leadership support, or 3+ years of Amazon experience - High school or equivalent diploma - Experience with Microsoft Office products and applications - Knowledge of Microsoft Office products and applications Preferred Qualifications: - Experience leading process improvements - Experience in a fast-paced, high-tech company - Experience designing processes to maximize efficiency Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Executive Assistant, Artificial General Intelligence at Amazon.com Services LLC", "postedDate" : "2026-06-14T19:48:07.192", "createdAt" : "2026-06-14T19:48:07.192", "lastUpdated" : "2026-06-16T04:27:03.284", "ingestTimestamp" : "2026-06-14T19:48:07.192", "mongoId" : "68c2e437f8b1b0376634c88c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072562/apply", "salaryAnnualMin" : 66800, "salaryAnnualMax" : 142800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7bea74d8ee00a094b989", "title" : "Information Technology Intern", "company" : "StepStone Group", "industry" : "Technology", "salary" : { "min" : 18000.0, "max" : 30000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Information Technology Intern in Singapore, adjusted for entry-level seniority and the finance industry." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-15T08:21:36.517", "fingerprint" : "8c28b11d54084e9033c58b4fffc1ba6e16bdc0ce5a5c2dbd1a05b1b0c8052fce", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.stepstonegroup.com/current-opportunities/?gh_jid=8002960", "externalId" : "8002960", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "domainKnowledge" : "End-user computing concepts", "domainList" : [ "end-user-computing-concepts" ], "domainSpecificKnowledge" : [ "End-user computing concepts" ], "communicationSkills" : "Clear professional communication; Written communication; Verbal communication", "rawDescription" : "We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world’s investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed. The team you’ll join The Information Technology (IT) team at StepStone is a global, enterprise-focused function responsible for delivering and maintaining the technology infrastructure that powers the firm. As part of Enterprise Services, the team partners with stakeholders across departments support the day-to-day operations, enhance system capabilities, and ensure secure, efficient access to tools and platforms. The team plays a critical role in onboarding, user support, and continuous improvement of the firm’s technology environment. About the role This internship is designed for candidates interested in building foundational experience in IT support, service operations, and end-user troubleshooting within a global business environment. The IT Intern will support help desk triage activities by serving as an initial point of contact, logging and categorizing incidents, and assisting with first-level issue resolution and escalation. The role offers the opportunity to work closely with regional and global IT teams while learning ticket management, user support processes, knowledge documentation, and service excellence best practices. What you’ll do Act as an initial point of contact for internal technical support requests received by phone, email, chat, or walk-up. Perform ticket triage by logging, categorizing, prioritizing, and routing incidents and service requests to the appropriate support teams. Provide first-level support for common issues involving laptops, desktops, printers, mobile devices, email, collaboration tools, and business applications. Escalate unresolved or complex issues with clear documentation, relevant troubleshooting details, and appropriate business impact context. Assist with knowledge base updates, asset-related administrative tasks, end-user documentation, and other day-to-day IT support activities or projects as assigned. What we’re looking for Basic understanding of Windows, Microsoft 365 applications, and common end-user computing concepts. Strong customer service mindset with the ability to communicate clearly and professionally with non-technical users. Good organizational skills and attention to detail in ticket documentation, follow-up, and issue tracking. Willingness to learn troubleshooting methods, service management processes, and how to work effectively in a fast-paced support environment. Currently pursuing or recently completed a diploma or degree in Information Technology, Computer Science, or a related field. Relevant coursework, campus IT support experience, or prior internship exposure in a service desk, desktop support, or customer support setting is a plus. Strong written and verbal communication skills in English. Ability to manage competing priorities, maintain professionalism, and work both independently and collaboratively. Interest in IT operations, end-user support, and delivering a high-quality support experience. Familiarity with ticketing systems, Active Directory, or basic troubleshooting processes is helpful but not required. Experience with Microsoft Excel, Word, and Teams is preferred. A positive, team-oriented attitude and a strong willingness to learn are essential. Strong attention to detail and a commitment to accurate documentation. Why join us? At StepStone, we foster a supportive and inclusive team culture where collaboration and learning are the core of what we do. Our collegial atmosphere encourages teamwork, mentorship, and professional development. This summer internship is a great opportunity to gain practical experience and develop critical skills that will help you launch a successful career in private markets. #LI-Hybrid At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all. As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law. Candidates must be at least 18 years old to apply. Developing People at StepStone", "summaryDescription" : "Information Technology Intern at StepStone Group", "postedDate" : "2026-06-14T03:08:01.164", "createdAt" : "2026-06-14T03:08:01.164", "lastUpdated" : "2026-06-15T08:21:36.517", "ingestTimestamp" : "2026-06-14T03:08:01.164", "mongoId" : "6a2c7bea74d8ee00a094b989", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "End-user computing concepts" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance", "llmIndustryConfidence" : 0.95 }, { "id" : "69f9b8034c40e2acd1114064", "title" : "Economist, People Experience and Technology Central Science", "company" : "Amazon.com Services LLC", "industry" : "Economics, Economist, amazon business", "salary" : { "min" : 129200.0, "max" : 174700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:33:39.868", "fingerprint" : "acafa098f68e4434e0ddc08e322acf7ded10cbb471f4ea8078f396d1533721d4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410050/apply", "externalId" : "1e88dad2-b8a9-4765-921d-6caa12730ccd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "R, Stata, Python", "professionalSkills" : [ "Economic methods", "Data analysis", "Modelling", "Experimentation", "Scientific approaches" ], "hardSkillsList" : [ "Statistical software", "Economic modelling", "Structural model estimation", "DID analysis" ], "hardSkills" : [ { "name" : "Statistical software", "level" : "intermediate" }, { "name" : "Economic modelling", "level" : "intermediate" }, { "name" : "Structural model estimation", "level" : "intermediate" }, { "name" : "DID analysis", "level" : "intermediate" } ], "majorSkills" : "Economic methods, Data analysis, Modelling", "majorSkillsList" : [ "Economic methods", "Data analysis", "Modelling" ], "coreResponsibilities" : "Apply economic methods to business problems, Work with engineers and computer scientists, Estimate models and algorithms, Design pilots, Measure impact, Transform prototypes into policies, Develop scientific models, Conduct data analysis, Conduct modelling, Conduct experimentation, Develop scalable data resources, Take models into production, Communicate scientific approaches, Communicate findings to business leaders, Incorporate feedback, Deliver scientific solutions, Identify research questions, Write code to implement DID analysis, Estimate a structural model, Write and present a document with findings, Collaborate with partner teams, Understand partner challenges, Develop a research agenda, Help implement solutions", "teamCollaboration" : "Interdisciplinary technical team; Team setting; Individuals from diverse disciplines; Partner teams", "domainKnowledge" : "People experience; Technology; Central science; Behavioral science; Machine learning", "domainList" : [ "people-experience", "technology", "central-science", "behavioral-science", "machine-learning" ], "domainSpecificKnowledge" : [ "People experience", "Technology", "Central science", "Behavioral science", "Machine learning" ], "communicationSkills" : "Communicate scientific approaches; Communicate findings", "documentationSkills" : "Write and present a document", "innovationCreativity" : "Creative thinkers; Big ideas", "problemSolvingSkills" : "Address business problems; Solve business problems", "outcomesObjectives" : "Improve policies and programs at scale; Deliver successful scientific solutions; Measurably achieve goals", "qualificationsBasic" : "PhD in economics", "qualificationsPreferred" : "Knowledge of data analysis languages, Experience in a postdoctoral position, Experience in a consulting position, Experience in a government position, Experience in academic research, Experience with SQL", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "PXTCS is looking for an economist who can apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure impact, and transform successful prototypes into improved policies and programs at scale. PXTCS is looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Key job responsibilities * Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. * They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. * They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. * They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. A day in the life The Economist will work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team The People eXperience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. PXTCS is an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. Basic Qualifications: - PhD in economics or equivalent Preferred Qualifications: - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Experience in a postdoctoral position, consulting position, government position or academic research - Experience with SQL Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 148,500.00 - 201,000.00 USD annually USA, MA, Boston - 129,200.00 - 174,700.00 USD annually USA, VA, Arlington - 129,200.00 - 174,700.00 USD annually USA, WA, Bellevue - 129,200.00 - 174,700.00 USD annually USA, WA, Seattle - 129,200.00 - 174,700.00 USD annually", "summaryDescription" : "Economist, People Experience and Technology Central Science at Amazon.com Services LLC. Skills: Economic methods, Data analysis, Modelling. Apply economic methods to business problems. Work with engineers and computer scientists", "postedDate" : "2026-06-13T08:42:55.497", "createdAt" : "2026-06-13T08:42:55.497", "lastUpdated" : "2026-06-15T02:33:39.868", "ingestTimestamp" : "2026-06-13T08:42:55.497", "mongoId" : "69f9b8034c40e2acd1114064", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410050/apply", "salaryAnnualMin" : 129200, "salaryAnnualMax" : 174700, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical software", "Economic modelling", "Structural model estimation", "DID analysis", "Economic methods", "Data analysis", "Modelling", "Experimentation", "Scientific approaches", "People experience", "Technology", "Central science", "Behavioral science", "Machine learning" ], "skillCount" : 14, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ec02074d8ee00a0e9d50c", "title" : "Technology Operations & Cybersecurity Analyst", "company" : "Gap International", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Technology Operations & Cybersecurity Analyst in Springfield, United States, adjusted for mid-seniority and full-time employment." }, "location" : "Springfield, Pennsylvania, United States", "locations" : [ "Springfield", "Pennsylvania", "United States" ], "timestamp" : "2026-06-16T03:49:12.895", "fingerprint" : "92e0559efb8376bffed4005889dceb687f20ea2d415667580f3406edc230fcba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gapinternational/jobs/6029338004", "externalId" : "6029338004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Springfield", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9306677,-75.3201879" } ], "locationText" : "Springfield, Pennsylvania, United States", "experienceMinYears" : 3, "experienceMaxYears" : 6, "rawDescription" : "The Opportunity Gap International is seeking a Technology Operations & Cybersecurity Analyst to help power a high-performing, secure, and forward-looking technology environment. This is a hands-on, high-exposure role across IT operations, cybersecurity, and emerging technologies. You’ll keep the business running smoothly while helping us evolve how we leverage technology, especially through automation and AI. It’s ideal for someone who enjoys solving complex problems, takes ownership, and wants to build broad capability across systems, security, and innovation. RESPONSIBILITIES Technology Operations Support day-to-day performance of networks, systems, and endpoints Troubleshoot issues and escalate when needed Configure and maintain Windows and macOS devices Manage identity and access (Entra ID, Active Directory) Maintain documentation, inventory, and asset lifecycle End-User Experience Provide responsive, high-quality support to employees Support core tools (Microsoft 365, Zoom, VPN, endpoint/security platforms) Own onboarding/offboarding setup and readiness Help employees get the most out of workplace technologies, including AI tools Cybersecurity Monitor and respond to security alerts across systems and endpoints Investigate incidents (phishing, suspicious activity) Support patching, vulnerability management, and system hardening Maintain access controls and identity security practices Contribute to improving security operations and response readiness Automation, AI & Improvement Identify and implement opportunities to automate repetitive work Leverage AI to improve troubleshooting, response, and efficiency Stay current on emerging tech and bring forward practical ideas Contribute to improving overall performance, scalability, and user experience What We're Looking For 3–6 years of experience in IT operations, systems, or cybersecurity Strong troubleshooting and hands-on problem-solving ability Working knowledge of networking fundamentals (TCP/IP, DNS, VPNs, etc.) Experience with Windows and/or macOS environments Familiarity with Microsoft 365, Entra ID (Azure AD), and identity management Foundational understanding of cybersecurity principles and tools Strong communication skills and a service-oriented mindset Curiosity and interest in automation, AI, and improving how things work Why This Role Broad exposure across IT, security, and emerging tech Opportunity to build capability, not just maintain systems Real ownership in a high-performing environment Direct impact on how the company operates and evolves LOCATION Gap International associates are based out of our corporate office in the Philadelphia metropolitan area. In order to be considered for this role, applicants should be legally authorized to work in the US. Gap International is an equal opportunity employer and values diversity. All employment is decided on the basis of qualifications, merit and business need, and all qualified candidates will receive consideration.", "summaryDescription" : "Technology Operations & Cybersecurity Analyst at Gap International", "postedDate" : "2026-06-14T20:04:04.627", "createdAt" : "2026-06-14T20:04:04.627", "lastUpdated" : "2026-06-16T03:49:12.895", "ingestTimestamp" : "2026-06-14T20:04:04.627", "mongoId" : "6a2ec02074d8ee00a0e9d50c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a304f4df292fd229cee6b97", "title" : "Lawyer, Technology and Digital (Cybersecurity)", "company" : "Gilbert + Tobin", "industry" : "Legal Services", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Lawyer in Perth, Australia, adjusted for the technology and digital (cybersecurity) industry and a large law firm." }, "location" : "Perth, Western Australia, Australia", "locations" : [ "Perth", "Western Australia", "Australia" ], "timestamp" : "2026-06-16T07:20:55.003", "fingerprint" : "c77b9ca728c5d6b9c186d3dd6271627bb34cb929c52104280a1af755f17ec196", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GilbertTobin/6000000001154598-lawyer-technology-and-digital-cybersecurity-", "externalId" : "6000000001154598", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Perth", "state" : "Western Australia", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-31.9558967,115.8605784" } ], "locationText" : "Perth, Western Australia, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "professionalSkills" : [ "Risk management", "Commercial arrangements", "Legal advice" ], "hardSkillsList" : [ "Cyber incident response", "Cyber governance", "Cyber compliance", "Privacy compliance", "Data protection", "AI regulation", "AI governance", "AI risk management" ], "hardSkills" : [ { "name" : "Cyber incident response", "level" : "intermediate" }, { "name" : "Cyber governance", "level" : "intermediate" }, { "name" : "Cyber compliance", "level" : "intermediate" }, { "name" : "Privacy compliance", "level" : "intermediate" }, { "name" : "Data protection", "level" : "intermediate" }, { "name" : "AI regulation", "level" : "intermediate" }, { "name" : "AI governance", "level" : "intermediate" }, { "name" : "AI risk management", "level" : "intermediate" } ], "majorSkills" : "Cybersecurity, Privacy, AI regulation", "majorSkillsList" : [ "Cybersecurity", "Privacy", "AI regulation" ], "coreResponsibilities" : "Work on cyber incident response, Work on cyber governance, Work on cyber compliance, Work on critical infrastructure contracts, Work on critical infrastructure risk management, Work on critical infrastructure commercial arrangements, Work on privacy data protection, Work on cross-border privacy compliance, Work on AI regulation, Work on AI governance, Work on AI risk management", "teamCollaboration" : "High-performing team", "domainKnowledge" : "Digital transformation; Digital law; Data regulation; Cyber law; AI regulation; Privacy law; Critical infrastructure", "domainList" : [ "digital-transformation", "digital-law", "data-regulation", "cyber-law", "ai-regulation", "privacy-law", "critical-infrastructure" ], "domainSpecificKnowledge" : [ "Digital transformation", "Digital law", "Data regulation", "Cyber law", "AI regulation", "Privacy law", "Critical infrastructure" ], "communicationSkills" : "Client communications", "documentationSkills" : "Drafting skills", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "0-2 years post admission experience, Superior analytical skills, Superior communications skills, Superior drafting skills, Commercial awareness, Ability to work autonomously, Ability to work in a team", "qualificationsPreferred" : "Genuine interest in cybersecurity, Genuine interest in privacy, Genuine interest in AI, Genuine interest in emerging laws", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About us Gilbert + Tobin is built on enduring values of excellence, trust, respect, integrity and good corporate citizenship. We are a leading firm with over 500 lawyers, trusted by our clients to navigate today’s increasingly complex world. We are purpose-built for our clients’ most complex work - across transactions, disputes and regulation. Our partners are leaders in their fields, delivering the highest quality of legal advice and providing an exceptional edge for our clients. They also provide our lawyers the opportunity to work with and learn from them. We are innovators in the use of technology, redefining value and service in the legal industry. Our open, merit-based culture attracts and inspires the best legal talent. Founded in 1988, G+T’s journey has been one of relentless ambition and rapid progress, achieving extraordinary success in just over three decades. We remain as determined as ever to be the best it’s possible to be. The Group (TMT / Technology and Digital) Gilbert + Tobin’s Technology and Digital (T+D) team works closely with our clients to maximise the opportunities of digital transformation, and enable them to become agile, intelligent, digital businesses. We are passionate T+D specialists, and we have built a leading reputation across multiple industries. For more than a decade we have been ranked in the top tier of The Legal 500 Asia Pacific and Chambers Asia Pacific for T+D. Our specialist team operates at the cutting edge of digital, data, cyber and AI regulation. We combine deep know-how with the agility and ingenuity to help our clients get the most value from digital innovation. From steering tech acquisitions to success, to resolving complex disputes for major tech players or contracting mission-critical software, our expertise helps our clients stay ahead of regulatory change and capture growth opportunities. The Role Working as part of this dynamic, high-performing team, you will gain exposure to a wide range of matters, including: Cyber – incident response, governance, and compliance. Critical infrastructure – working on bespoke contracts, risk management obligations, and commercial arrangements Privacy & big data – data protection and cross-border privacy compliance AI – regulation, governance and risk management About You As our successful candidate you should be able to demonstrate a desire, and the capacity, to work on high profile and technically challenging transactions. You should be an ambitious high performer, looking to work in an environment where your performance will be duly recognised and rewarded accordingly. In addition, you will have: 0-2 years post admission experience A genuine interest in cybersecurity, privacy, AI and emerging laws Superior analytical, communications and drafting skills Commercial awareness and the ability to work effectively with clients The ability to work both autonomously and in a team environment What we offer A supportive and flexible work environment. Top of market remuneration and a range of benefits including 26 weeks paid parental leave, additional annual leave, complimentary breakfast and lunches, end of trip facilities, exclusive retail discounts, social events and much more, which you can view here: Please submit your interest via our career’s website with a resume. We are committed to providing and maintaining a diverse and inclusive environment and a culture where everyone feels valued and empowered to contribute. ## Additional Information Please submit your interest via our career’s website with a resume. We are committed to providing and maintaining a diverse and inclusive environment and a culture where everyone feels valued and empowered to contribute.", "summaryDescription" : "Lawyer, Technology and Digital (Cybersecurity) at Gilbert + Tobin. Skills: Cybersecurity, Privacy, AI regulation. Work on cyber incident response. 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The Benefits Science team is looking for an economist to transform complex business challenges into actionable scientific insights. In this role, you will partner directly with business leaders to design and evaluate pilots, build models using large-scale data, and scale successful prototypes into company-wide policies and programs. We're looking for someone who can combine rigorous scientific thinking with practical business acumen and is passionate about using economics to improve employee experiences at scale. The ideal candidate will thrive in interdisciplinary environments, working alongside engineers, data scientists, and business leaders from diverse backgrounds. Key job responsibilities - Design and conduct rigorous evaluations of benefits programs - Support the development and application of structural models - Develop experiments to evaluate the impact of benefits initiatives - Communicate complex findings to business stakeholders in clear, actionable terms - Work with engineering teams to develop scalable tools that automate and streamline evaluation processes A day in the life Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. Basic Qualifications: - PhD in economics or equivalent Preferred Qualifications: - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Experience in a postdoctoral position, consulting position, government position or academic research - Experience with SQL Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington - 129,200.00 - 174,700.00 USD annually", "summaryDescription" : "Economist, People Experience and Technology Central Science at Amazon.com Services LLC. Skills: Economics, Data science, Machine learning. Design evaluations of benefits programs. Conduct rigorous evaluations", "postedDate" : "2026-06-13T03:52:33.568", "createdAt" : "2026-06-13T03:52:33.568", "lastUpdated" : "2026-06-14T23:52:44.628", "ingestTimestamp" : "2026-06-13T03:52:33.568", "mongoId" : "69f4e0ba4c40e2acd1d89d54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408890/apply", "salaryAnnualMin" : 129000, "salaryAnnualMax" : 174700, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Structural models", "Data analysis", "Statistical modeling", "Experiment design", "Policy development", "Economics", "Data science", "Machine learning", "Behavioral science", "Statistics", "Business acumen", "Scientific thinking", "Benefits programs", "Employee experiences" ], "skillCount" : 14, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca53574d8ee00a09b52e2", "title" : "Engineering Manager, Cybersecurity Product Engineering", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 3500000.0, "max" : 6000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Cybersecurity Engineering Manager in India, adjusted for manager seniority and a GovTech company size." }, "location" : "Cybersecurity", "locations" : [ "Cybersecurity" ], "timestamp" : "2026-06-16T01:52:55.337", "fingerprint" : "2ea77c6543ebd503d6743c4060788b5de62283653998b02d8be82db7c4345414", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4004071201?gh_jid=4004071201", "externalId" : "4004071201", "industryFunction" : { }, "locationText" : "Cybersecurity", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "Cloud infrastructure, Secure development practices", "professionalSkills" : [ "Technical strategy", "Product delivery", "Business cases", "Technical cases", "Stakeholder management", "People management", "Career development", "Performance guidance", "Executive engagement", "Technical requirements", "Engineering priorities", "Team velocity", "Technical debt", "Data-informed decisions" ], "hardSkillsList" : [ "Threat detection", "Vulnerability management", "Security operations tooling", "Threat modelling", "Secure code reviews", "Technical risk assessments" ], "softSkillsList" : [ "Leadership", "Mentoring", "Strategic thinking", "Problem-solving" ], "hardSkills" : [ { "name" : "Threat detection", "level" : "intermediate" }, { "name" : "Vulnerability management", "level" : "intermediate" }, { "name" : "Security operations tooling", "level" : "intermediate" }, { "name" : "Threat modelling", "level" : "intermediate" }, { "name" : "Secure code reviews", "level" : "intermediate" }, { "name" : "Technical risk assessments", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Strategic thinking" }, { "name" : "Problem-solving" } ], "majorSkills" : "Cybersecurity product engineering, People management, Technical leadership", "majorSkillsList" : [ "Cybersecurity product engineering", "People management", "Technical leadership" ], "coreResponsibilities" : "Develop and execute engineering strategy, Drive technical delivery of product features, Conduct technical landscape reviews, Evaluate emerging tools, Evaluate emerging frameworks, Evaluate emerging security practices, Build business cases for investments, Build technical cases for investments, Present cases to SLM, Establish engineering processes, Improve engineering processes, Implement code review practices, Implement SDLC standards, Implement incident response procedures, Lead post-mortems, Drive systemic improvements, Lead, mentor, and grow software engineers, Provide regular feedback, Provide career development support, Provide performance guidance, Develop relationships with stakeholders, Maintain relationships with stakeholders, Communicate engineering progress, Communicate engineering risks, Communicate strategic recommendations, Collaborate with UX teams, Collaborate with product managers, Deliver intuitive solutions, Deliver secure solutions, Translate stakeholder needs, Translate user needs, Define technical requirements, Define engineering priorities, Lead sprint planning, Lead daily stand-ups, Lead sprint reviews, Lead sprint retrospectives, Drive continuous improvement initiatives, Foster collaborative problem-solving, Foster innovation, Remove blockers, Optimise team velocity, Balance technical debt, Balance new feature development, Ensure product compliance, Monitor engineering metrics, Analyse engineering metrics", "teamCollaboration" : "Cross-functional teams; Product managers; Security researchers; Executive leadership; UX teams; Agile teams", "projectManagementSkills" : [ "Agile methodologies", "Sprint ceremonies", "Roadmap planning" ], "domainKnowledge" : "Cybersecurity; Threat detection; Vulnerability management; Identity and access management; Security operations tooling; MITRE ATT&CK; OWASP; NIST; ISO 27001; Threat modelling; Secure code reviews; Technical risk assessments; Secure development lifecycle", "domainList" : [ "cybersecurity", "threat-detection", "vulnerability-management", "identity-and-access-management", "security-operations-tooling", "mitre-att-ck", "owasp", "nist", "iso-27001", "threat-modelling", "secure-code-reviews", "technical-risk-assessments", "secure-development-lifecycle" ], "domainSpecificKnowledge" : [ "Cybersecurity", "Threat detection", "Vulnerability management", "Identity and access management", "Security operations tooling", "MITRE ATT&CK", "OWASP", "NIST", "ISO 27001", "Threat modelling", "Secure code reviews", "Technical risk assessments", "Secure development lifecycle" ], "toolProficiency" : [ "Version control", "CI/CD pipelines" ], "communicationSkills" : "Technical strategies; Strategic recommendations; Executive audiences", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "outcomesObjectives" : "Deliver high-quality software; Deliver secure software; Deliver intuitive solutions; Deliver secure solutions", "qualificationsBasic" : "6–8 years software engineering experience, 2 years engineering management or technical lead role, End-to-end product delivery in cybersecurity or enterprise software, Working knowledge of cybersecurity domains, Working knowledge of cybersecurity frameworks and standards, Experience conducting or overseeing threat modelling, Experience conducting or overseeing secure code reviews, Experience conducting or overseeing technical risk assessments, Present technical strategies to senior non-technical stakeholders, Experience in stakeholder management, Hiring, mentoring, and retaining engineering talent, Proficiency in version control, Proficiency in CI/CD pipelines, Proficiency in cloud infrastructure, Proficiency in secure development practices, Advanced knowledge of agile methodologies", "qualificationsPreferred" : "Kubernetes experience a plus", "rawDescription" : "We are looking for an Engineering Manager to lead a team of software engineers building cybersecurity products. In this role, you will be responsible for both the technical direction and people development of your team, working closely with product managers, security researchers, and stakeholders to deliver high-quality, secure software at scale. This is a hands-on leadership role suited for someone who is comfortable switching between strategic thinking and getting into the technical details when needed -- and who can communicate clearly with both engineers on the ground and C-suite stakeholders. Key Responsibilities Engineering Leadership & Strategy Partner with department leadership to develop and execute engineering strategy and vision for the cybersecurity product portfolio Own and drive the technical delivery of product features, ensuring alignment with the overall product strategy and security requirements Conduct technical landscape reviews and evaluate emerging tools, frameworks, and security practices to inform engineering decisions Build compelling business and technical cases for investments in infrastructure, tooling, and team growth, and present these to SLM Establish and continuously improve engineering processes, including code review practices, secure development lifecycle (SDLC) standards, and incident response procedures Lead post-mortems following incidents or delivery failures, driving systemic improvements across the team People Management & Stakeholder Engagement Lead, mentor, and grow a team of software engineers, providing regular feedback, career development support, and performance guidance Develop and maintain strong relationships with key stakeholders including product managers, security researchers, and executive leadership Communicate engineering progress, risks, and strategic recommendations clearly to both technical teams and C-suite audiences Collaborate with UX teams and product managers to deliver intuitive and secure solutions Translate stakeholder and user needs into clear technical requirements and engineering priorities Agile & Development Team Collaboration Lead and facilitate all sprint ceremonies including planning, daily stand-ups, reviews, and retrospectives Drive continuous improvement initiatives and foster an environment of collaborative problem-solving and innovation Work closely with product leads to remove blockers, optimise team velocity, and balance technical debt with new feature development Ensure product compliance with relevant security standards and regulations Monitor and analyse engineering metrics such as deployment frequency, incident rates, and team velocity to drive data-informed decisions Required Qualifications 6–8 years of software engineering experience, with at least 2 years in an engineering management or technical lead role Proven track record of end-to-end product delivery in cybersecurity or enterprise software environments Working knowledge of cybersecurity domains such as threat detection, vulnerability management, identity and access management, or security operations tooling Working knowledge of cybersecurity frameworks and standards including MITRE ATT&CK, OWASP, NIST, or ISO 27001 Experience conducting or overseeing threat modelling, secure code reviews, or technical risk assessments Demonstrated ability to present technical strategies, risks, and recommendations to senior non-technical stakeholders Experience in stakeholder management across different organisational levels, including executive engagement Demonstrated experience in hiring, mentoring, and retaining engineering talent Proficiency in engineering practices including version control, CI/CD pipelines, cloud infrastructure, and secure development practices Advanced knowledge of agile methodologies and frameworks Excellent strategic thinking, problem-solving, and communication abilities", "summaryDescription" : "Engineering Manager, Cybersecurity Product Engineering at GovTech. Skills: Cybersecurity product engineering, People management, Technical leadership. Develop and execute engineering strategy. Drive technical delivery of product features", "postedDate" : "2026-06-14T20:15:14.705", "createdAt" : "2026-06-14T20:15:14.705", "lastUpdated" : "2026-06-16T01:52:55.337", "ingestTimestamp" : "2026-06-14T20:15:14.705", "mongoId" : "6a2ca53574d8ee00a09b52e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Threat detection", "Vulnerability management", "Security operations tooling", "Threat modelling", "Secure code reviews", "Technical risk assessments", "Leadership", "Mentoring", "Strategic thinking", "Problem-solving", "Cybersecurity product engineering", "People management", "Technical leadership", "Technical strategy", "Product delivery", "Business cases", "Technical cases", "Stakeholder management", "Career development", "Performance guidance", "Executive engagement", "Technical requirements", "Engineering priorities", "Team velocity", "Technical debt", "Data-informed decisions", "Agile methodologies", "Sprint ceremonies", "Roadmap planning", "Cybersecurity", "Identity and access management", "MITRE ATT&CK", "OWASP", "NIST", "ISO 27001", "Secure development lifecycle", "Version control", "CI/CD pipelines" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f012beec4dd3d933ef9", "title" : "Economist II, People Experience and Technology Central Science", "company" : "Amazon.com Services LLC", "industry" : "Economics, Economist, global corporate", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T06:29:56.600", "fingerprint" : "81efd82c7b205196c33ddebdd92fbe1839f0fc4d0fc4eae74d2a50ada7f232d1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382883/apply", "externalId" : "02cde9c4-4db8-48a5-86be-6481cb83d6c0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "SQL, Python, R, Spark, AWS, GCP, Azure, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, SageMaker, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning algorithms", "Data warehousing", "ETL processes", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering, Business Intelligence", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data science models, Build and maintain data pipelines, Analyze large datasets, Create dashboards and reports, Collaborate with stakeholders, Identify trends and insights, Design and execute experiments, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "PhD required, 5+ years of experience in data science or related field, Proficiency in SQL, Experience with statistical software or programming languages", "qualificationsPreferred" : "PhD in a quantitative field, Experience with ML frameworks, Experience with cloud platforms, Experience with data visualization tools", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The People eXperience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. The Benefits Science team is looking for an economist to transform complex business challenges into actionable scientific insights. In this role, you will partner directly with business leaders to design and evaluate pilots, build models using large-scale data, and scale successful prototypes into company-wide policies and programs. We're looking for someone who can combine rigorous scientific thinking with practical business acumen and is passionate about using economics to improve employee experiences at scale. The ideal candidate will thrive in interdisciplinary environments, working alongside engineers, data scientists, and business leaders from diverse backgrounds. Key job responsibilities - Design and conduct rigorous evaluations of benefits programs - Support the development and application of structural models - Develop experiments to evaluate the impact of benefits initiatives - Communicate complex findings to business stakeholders in clear, actionable terms - Work with engineering teams to develop scalable tools that automate and streamline evaluation processes A day in the life Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. Basic Qualifications: - PhD in economics or equivalent - Experience applying quantitative analysis to solve business problems and making data-driven business decisions Preferred Qualifications: - 2+ years of industry, consulting, government, or academic research experience - Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS - Experience with handling of large datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Economist II, People Experience and Technology Central Science at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering, Business Intelligence. Develop and implement data science models. Build and maintain data pipelines", "postedDate" : "2026-06-13T18:37:56.453", "createdAt" : "2026-06-13T18:37:56.453", "lastUpdated" : "2026-06-15T06:29:56.600", "ingestTimestamp" : "2026-06-13T18:37:56.453", "mongoId" : "69cf3f012beec4dd3d933ef9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382883/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning algorithms", "Data warehousing", "ETL processes", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Data Engineering", "Business Intelligence", "Quantitative analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb5bd74d8ee00a09eec38", "title" : "Information Technology Specialist", "company" : "Windsor Police Service", "industry" : "Government", "salary" : { "min" : 72500.0, "max" : 98000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Information Technology Specialist in Windsor, Canada, adjusted for mid-seniority and government industry." }, "location" : "Windsor, ON", "locations" : [ "Windsor, ON" ], "timestamp" : "2026-06-15T09:32:56.998", "fingerprint" : "7808ec4c22b2d6a92a7041ca7e726fa0b4af033a09b1b8bde50c58d8a3854ddb", "source" : "jazzhr", "language" : "en", "externalId" : "UbTfsFiyOD", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Windsor", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2858536,-82.9780695" } ], "locationText" : "Windsor, Ontario, Canada", "summaryDescription" : "Information Technology Specialist at Windsor Police Service", "createdAt" : "2026-06-14T09:10:47.558", "lastUpdated" : "2026-06-15T09:32:56.998", "ingestTimestamp" : "2026-06-14T09:10:47.558", "mongoId" : "6a2cb5bd74d8ee00a09eec38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.9 }, { "id" : "69fc497c4c40e2acd1a81be6", "title" : "Summer Intern Engineering Support - Information Technology Div.", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 20.0, "max" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Austin-Stassney Hq - Main", "locations" : [ "UST-Texas-Austin-Stassney Hq - Main", "Hourly", "Nonexempt,
Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

, Stassney Hq - Main" ], "timestamp" : "2026-06-15T09:18:30.590", "fingerprint" : "8d257bbc29864b0584c69926b85030e8e682c02cf1844c964376510ea7575b92", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=44267", "externalId" : "44267", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Hardware support, Software support", "hardSkillsList" : [ "Technical assistance" ], "hardSkills" : [ { "name" : "Technical assistance", "level" : "intermediate" } ], "majorSkills" : "Engineering Support, IT Support", "majorSkillsList" : [ "Engineering Support", "IT Support" ], "coreResponsibilities" : "Maintain hardware support, Optimize hardware support, Maintain software support, Optimize software support, Manage ticket queue, Provide support to end-users, Provide technical assistance", "teamCollaboration" : "Team environment", "domainKnowledge" : "Remote Sensing", "domainList" : [ "remote-sensing" ], "domainSpecificKnowledge" : [ "Remote Sensing" ], "problemSolvingSkills" : "Problem solver", "qualificationsBasic" : "User support experience, Team environment experience", "qualificationsPreferred" : "Remote Sensing hardware experience, Remote Sensing software experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a tech-savvy problem solver with a passion for providing exceptional user support? Join our ITD Engineering Systems team as an Engineering Services Support Intern and gain hands-on experience in a dynamic environment. You will contribute to maintaining and optimizing our Remote Sensing hardware and software support while enhancing your technical skills. This position requires working in a team environment to manage the day-to-day ticket queue. This position would work with our end-users to provide support and technical assistance for field data collection and processing. At TxDOT, you will join a workforce that is passionate about their careers. You have nothing to lose and lots to gain, such as invaluable work experience that can carry you into the future. Make the choice and join TxDOT for your brighter tomorrow today. 20.00 20.00", "summaryDescription" : "Summer Intern Engineering Support - Information Technology Div. at TxDOT. Skills: Engineering Support, IT Support. Maintain hardware support. Optimize hardware support", "createdAt" : "2026-06-14T02:58:01.799", "lastUpdated" : "2026-06-15T09:18:30.590", "ingestTimestamp" : "2026-06-14T02:58:01.799", "mongoId" : "69fc497c4c40e2acd1a81be6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Technical assistance", "Engineering Support", "IT Support", "Remote Sensing" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2abfaf74d8ee00a06ef3f5", "title" : "Manager Engineering, Artificial Intelligence & Data", "company" : "Deloitte", "industry" : "Accounting", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager Engineering, Artificial Intelligence & Data in Amsterdam, Netherlands, adjusted for seniority and industry." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-14T22:07:24.067", "fingerprint" : "d8a6229603d6706c3e414f27cb323ea7386b8de6cf5cff71958a7674c89a1b04", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeloitteNetherlands/744000131669728-copy-of-manager-engineering-artificial-intelligence-data", "externalId" : "744000131669728", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, Azure, Microservices, Serverless, Databricks, Snowflake, Kafka, Airflow, LLMs, Prompt engineering, API, CI/CD, Infrastructure as code, Open source", "professionalSkills" : [ "Solution architecture", "Platform strategy", "Product strategy", "Enterprise data platforms", "Data transformation", "AI transformation", "Cloud transformation", "Value propositions", "Client relationships" ], "hardSkillsList" : [ "Data engineering", "AI development", "Cloud engineering", "Software engineering", "Solution architecture", "Real-time data streaming", "Generative AI", "Advanced analytics", "Event-driven architecture", "Platform engineering", "Infrastructure as code" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "AI development", "level" : "intermediate" }, { "name" : "Cloud engineering", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Solution architecture", "level" : "intermediate" }, { "name" : "Real-time data streaming", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Event-driven architecture", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI, Data Engineering, Cloud, Software Engineering", "majorSkillsList" : [ "AI", "Data Engineering", "Cloud", "Software Engineering" ], "coreResponsibilities" : "Lead strategic growth, Lead commercial growth, Identify opportunities, Shape opportunities, Define proposals, Convert proposals into engagements, Pave way for technology experts, Pave way for software engineers, Start engagements platform strategy, Start engagements product strategy, Start engagements design, Start engagements implementation, Deliver transformation programmes, Guide clients developing blueprints, Manage full project lifecycle, Inspire project teams, Coach project teams, Develop project teams, Foster learning environment, Partner with Talent teams, Attract top talent, Develop top talent, Retain top talent, Champion high-performance culture, Build client relationships, Uncover strategic opportunities, Drive business development, Guide clients technology selection, Guide clients business decisions, Lead end-to-end implementations, Own delivery lifecycle, Translate complex concepts, Mentor junior colleagues, Build high-performing teams", "teamCollaboration" : "Multidisciplinary project teams; Cross-functional teams; Diverse stakeholders", "projectManagementSkills" : [ "Full project lifecycle management" ], "domainKnowledge" : "Cloud-native architectures; Microservices; Serverless; Real-time data streaming; Generative AI; Prompt engineering; AI orchestration; Responsible AI; Event-driven architecture; API integration; DevOps; Platform engineering; Infrastructure as code", "domainList" : [ "cloud-native-architectures", "microservices", "serverless", "real-time-data-streaming", "generative-ai", "prompt-engineering", "ai-orchestration", "responsible-ai", "event-driven-architecture", "api-integration", "devops", "platform-engineering", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "Cloud-native architectures", "Microservices", "Serverless", "Real-time data streaming", "Generative AI", "Prompt engineering", "AI orchestration", "Responsible AI", "Event-driven architecture", "API integration", "DevOps", "Platform engineering", "Infrastructure as code" ], "toolProficiency" : [ "Databricks", "Snowflake", "Kafka", "Airflow" ], "communicationSkills" : "Simplify technical topics; Actionable insights; Client communication; Stakeholder engagement", "continuousLearning" : "Continuous growth", "problemSolvingSkills" : "Simplify complex topics", "qualificationsBasic" : "7+ years experience software engineer, 7+ years experience solution architect, Proven track record shaping transformation programmes, Proven track record delivering transformation programmes, Extensive experience advising senior executives, Extensive experience acting as strategic partner", "qualificationsPreferred" : "CCST / CCNA / CCNP certification, CCIE certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Accelerate our growth in Engineering and contribute through your strategic vision, commercial drive and deep expertise in Engineering, AI and data-driven transformation. At Deloitte. * Lead strategic and commercial growth of AI & Data offerings ; * Identify and shape opportunities, define proposals, and convert them into impactful engagements; * Pave the way for (our) technology experts and software engineers to start with engagements around platform and product strategy, design and architecture; * Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies; * Guide clients in developing Engineering, AI & Data blueprints and roadmaps; * Manage the full project lifecycle, from early visioning to implementation and adoption; * Inspire, coach and develop multidisciplinary project teams; * Foster a learning environment with continuous growth opportunities; * Partner with Talent teams to attract, develop and retain top talent; * Champion a high-performance culture based on collaboration and integrity. ## Qualifications Experience and leadership * 7+ years of experience as a software engineer and solution architect, delivering complex, enterprise-grade systems * Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end * Extensive experience advising senior executives and acting as a strategic partner Technology expertise * Deep passion for technology, combining broad knowledge with strong depth in key domains * Able to simplify complex technical topics into clear, actionable insights In-depth experience with various technology stacks, including: * Cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes; * Data and AI platforms: Databricks, Snowflake, real-time data streaming (e.g., Kafka, Airflow) and MLOps; * Generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsible AI; * Integration and APIs: event-driven architecture and API management; * DevoOps and platform engineering: CI/CD, infrastructure as code and observability; * On-premise infrastructure and open source tools; * Networking: CCST / CCNA / CCNP, CCIE, etc. Commercial and stakeholder impact * Strong commercial mindset, with the ability to identify opportunities, shape value propositions and build long-term client relationships * Excellent communication and leadership skills, inspiring teams and aligning diverse stakeholders * Proven ability to navigate complex stakeholder environments across business and IT * Self-starter with the ability to build a business ## Additional Information Join our Engineering, AI & Data practice as a Manager and take the lead in shaping transformative solutions for our clients. You'll drive business growth, lead complex transformation programmes, and establish yourself as a trusted strategic partner. As a Manager in this role, you will build and nurture strong client relationships while uncovering strategic opportunities to drive business development. You'll guide clients through technology selection and critical business decisions, leveraging your versatile background to lead comprehensive end-to-end implementations. From problem definition and value articulation through stakeholder engagement, team structuring, build coordination, go-live management, and post-launch support, you'll own the entire delivery lifecycle. Beyond your technical expertise, you'll serve as a trusted advisor, translating complex concepts into clear business outcomes for senior stakeholders. You'll also mentor and guide junior colleagues, fostering their professional growth and building high-performing teams that deliver exceptional results.", "summaryDescription" : "Manager Engineering, Artificial Intelligence & Data at Deloitte. Skills: AI, Data Engineering, Cloud, Software Engineering. Lead strategic growth. Lead commercial growth", "postedDate" : "2026-06-11T13:09:26.000", "createdAt" : "2026-06-12T02:24:01.293", "lastUpdated" : "2026-06-14T22:07:24.067", "ingestTimestamp" : "2026-06-12T02:24:01.293", "mongoId" : "6a2abfaf74d8ee00a06ef3f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data engineering", "AI development", "Cloud engineering", "Software engineering", "Solution architecture", "Real-time data streaming", "Generative AI", "Advanced analytics", "Event-driven architecture", "Platform engineering", "Infrastructure as code", "Leadership", "Mentoring", "AI", "Data Engineering", "Cloud", "Software Engineering", "Platform strategy", "Product strategy", "Enterprise data platforms", "Data transformation", "AI transformation", "Cloud transformation", "Value propositions", "Client relationships", "Full project lifecycle management", "Cloud-native architectures", "Microservices", "Serverless", "Prompt engineering", "AI orchestration", "Responsible AI", "API integration", "DevOps", "Databricks", "Snowflake", "Kafka", "Airflow" ], "skillCount" : 38, "jobCategory" : "other", "jobSubcategory" : "consulting", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2abfaf74d8ee00a06ef3f7", "title" : "Manager Engineering, Artificial Intelligence & Data", "company" : "Deloitte", "industry" : "Accounting", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager Engineering, Artificial Intelligence & Data in Amsterdam, Netherlands, adjusted for seniority and industry." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-14T22:54:20.071", "fingerprint" : "cea3a69800aa5c48d7afcdf5df992dad008196a5cbee7a04a91de76f0012ae93", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeloitteNetherlands/744000131669649-manager-engineering-artificial-intelligence-data", "externalId" : "744000131669649", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, Azure, Microservices, Serverless, Databricks, Snowflake, Kafka, Airflow, LLMs, Prompt engineering, API, CI/CD, Infrastructure as code, Open source", "professionalSkills" : [ "Platform strategy", "Product strategy", "Value propositions", "Client relationships", "Stakeholder environments" ], "hardSkillsList" : [ "Data platforms", "AI platforms", "Generative AI", "Advanced analytics", "Real-time data streaming", "Responsible AI", "Event-driven architecture", "Platform engineering", "On-premise infrastructure", "Networking" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "AI platforms", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Real-time data streaming", "level" : "intermediate" }, { "name" : "Responsible AI", "level" : "intermediate" }, { "name" : "Event-driven architecture", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "On-premise infrastructure", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI, Data Engineering, Cloud, Transformation programmes", "majorSkillsList" : [ "AI", "Data Engineering", "Cloud", "Transformation programmes" ], "coreResponsibilities" : "Lead strategic growth, Lead commercial growth, Identify opportunities, Shape opportunities, Define proposals, Convert proposals, Pave way for experts, Pave way for engineers, Start engagements, Deliver transformation programmes, Guide clients, Develop blueprints, Manage project lifecycle, Inspire project teams, Coach project teams, Develop project teams, Foster learning environment, Partner with Talent teams, Attract talent, Develop talent, Retain talent, Champion high-performance culture, Build client relationships, Uncover strategic opportunities, Drive business development, Guide technology selection, Guide business decisions, Lead implementations, Own delivery lifecycle, Serve as trusted advisor, Translate complex concepts, Mentor junior colleagues, Build high-performing teams", "teamCollaboration" : "Multidisciplinary project teams; Cross-functional teams; Diverse stakeholders", "projectManagementSkills" : [ "Full project lifecycle" ], "domainKnowledge" : "Enterprise data platforms; Cloud-native architectures; Microservices; Serverless; Generative AI; Prompt engineering; AI orchestration; Responsible AI; Event-driven architecture; API integration; DevOps; Platform engineering; Infrastructure as code", "domainList" : [ "enterprise-data-platforms", "cloud-native-architectures", "microservices", "serverless", "generative-ai", "prompt-engineering", "ai-orchestration", "responsible-ai", "event-driven-architecture", "api-integration", "devops", "platform-engineering", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "Enterprise data platforms", "Cloud-native architectures", "Microservices", "Serverless", "Generative AI", "Prompt engineering", "AI orchestration", "Responsible AI", "Event-driven architecture", "API integration", "DevOps", "Platform engineering", "Infrastructure as code" ], "toolProficiency" : [ "Databricks", "Snowflake", "Kafka", "Airflow" ], "communicationSkills" : "Actionable insights; Clear business outcomes", "continuousLearning" : "Continuous growth", "problemSolvingSkills" : "Simplify complex topics", "qualificationsBasic" : "7+ years software engineer, 7+ years solution architect, Deliver complex enterprise-grade systems, Shape large-scale Engineering transformation, Deliver large-scale Engineering transformation, Shape large-scale Cloud transformation, Deliver large-scale Cloud transformation, Shape large-scale AI transformation, Deliver large-scale AI transformation, Shape large-scale Data transformation, Deliver large-scale Data transformation, Advise senior executives, Act as strategic partner", "qualificationsPreferred" : "CCST / CCNA / CCNP, CCIE", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Accelerate our growth in Engineering and contribute through your strategic vision, commercial drive and deep expertise in Engineering, AI and data-driven transformation. At Deloitte. * Lead strategic and commercial growth of AI & Data offerings ; * Identify and shape opportunities, define proposals, and convert them into impactful engagements; * Pave the way for (our) technology experts and software engineers to start with engagements around platform and product strategy, design and architecture; * Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies; * Guide clients in developing Engineering, AI & Data blueprints and roadmaps; * Manage the full project lifecycle, from early visioning to implementation and adoption; * Inspire, coach and develop multidisciplinary project teams; * Foster a learning environment with continuous growth opportunities; * Partner with Talent teams to attract, develop and retain top talent; * Champion a high-performance culture based on collaboration and integrity. ## Qualifications Experience and leadership * 7+ years of experience as a software engineer and solution architect, delivering complex, enterprise-grade systems * Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end * Extensive experience advising senior executives and acting as a strategic partner Technology expertise * Deep passion for technology, combining broad knowledge with strong depth in key domains * Able to simplify complex technical topics into clear, actionable insights In-depth experience with various technology stacks, including: * Cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes; * Data and AI platforms: Databricks, Snowflake, real-time data streaming (e.g., Kafka, Airflow) and MLOps; * Generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsible AI; * Integration and APIs: event-driven architecture and API management; * DevoOps and platform engineering: CI/CD, infrastructure as code and observability; * On-premise infrastructure and open source tools; * Networking: CCST / CCNA / CCNP, CCIE, etc. Commercial and stakeholder impact * Strong commercial mindset, with the ability to identify opportunities, shape value propositions and build long-term client relationships * Excellent communication and leadership skills, inspiring teams and aligning diverse stakeholders * Proven ability to navigate complex stakeholder environments across business and IT * Self-starter with the ability to build a business ## Additional Information Join our Engineering, AI & Data practice as a Manager and take the lead in shaping transformative solutions for our clients. You'll drive business growth, lead complex transformation programmes, and establish yourself as a trusted strategic partner. As a Manager in this role, you will build and nurture strong client relationships while uncovering strategic opportunities to drive business development. You'll guide clients through technology selection and critical business decisions, leveraging your versatile background to lead comprehensive end-to-end implementations. From problem definition and value articulation through stakeholder engagement, team structuring, build coordination, go-live management, and post-launch support, you'll own the entire delivery lifecycle. Beyond your technical expertise, you'll serve as a trusted advisor, translating complex concepts into clear business outcomes for senior stakeholders. You'll also mentor and guide junior colleagues, fostering their professional growth and building high-performing teams that deliver exceptional results.", "summaryDescription" : "Manager Engineering, Artificial Intelligence & Data at Deloitte. Skills: AI, Data Engineering, Cloud, Transformation programmes. Lead strategic growth. Lead commercial growth", "postedDate" : "2026-06-11T13:08:58.000", "createdAt" : "2026-06-12T03:02:01.870", "lastUpdated" : "2026-06-14T22:54:20.071", "ingestTimestamp" : "2026-06-12T03:02:01.870", "mongoId" : "6a2abfaf74d8ee00a06ef3f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data platforms", "AI platforms", "Generative AI", "Advanced analytics", "Real-time data streaming", "Responsible AI", "Event-driven architecture", "Platform engineering", "On-premise infrastructure", "Networking", "Leadership", "Mentoring", "AI", "Data Engineering", "Cloud", "Transformation programmes", "Platform strategy", "Product strategy", "Value propositions", "Client relationships", "Stakeholder environments", "Full project lifecycle", "Enterprise data platforms", "Cloud-native architectures", "Microservices", "Serverless", "Prompt engineering", "AI orchestration", "API integration", "DevOps", "Infrastructure as code", "Databricks", "Snowflake", "Kafka", "Airflow" ], "skillCount" : 35, "jobCategory" : "other", "jobSubcategory" : "consulting", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca3b874d8ee00a09ad453", "title" : "Career & Technology Education (CTE) Teacher- Computer Science (SY 26 - 27)", "company" : "Great Oaks Legacy Charter School", "industry" : "Education", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Mid-level Computer Science Teacher in Newark, United States, with adjustments for the education industry and a charter school setting." }, "location" : "Newark, New Jersey, United States", "locations" : [ "Newark", "New Jersey", "United States" ], "timestamp" : "2026-06-16T03:26:32.188", "fingerprint" : "2c28ca409abb55acd799ee97865689c02ebd26e28cc97e60d0a6a148c348b840", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.greatoakslegacy.org/join-our-team/job-openings?gh_jid=5255579008", "externalId" : "5255579008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "rawDescription" : "Great Oaks Legacy Charter School is seeking a dynamic, mission-aligned educator to join our team as a High School - CTE Computer Science Teacher to teach for the (2026-2027) academic year. REPORTING RELATIONSHIP Our High School - CTE Computer Science Teacher is an integral part of our school-based instructional team and will report to the Director of CTE and receive weekly coaching, observations and development. ESSENTIAL DUTIES & RESPONSIBILITIES Teachers at Great Oaks Legacy Charter School are responsible for preparing each of our students for college success through rigorous instruction and maintaining consistently high expectations. Teachers are models of the hard work, desire for learning, and character that we expect of our students. Our teachers' essential duties and responsibilities include: 1) Curriculum & Instruction Demonstrating solid content knowledge and understanding of the content matter. Establishing, communicating, and demanding high expectations for student learning, and quality of work. Using a multitude of instructional strategies and activities that are academically rigorous and highly engaging. Executing detailed lesson plans mapped to a year-long academic plan to address learning needs. Constantly working to respond to the students’ learning needs. Consistently sending the message that this work is important, that the student can do it, and that you will not give up on a student. 2) Data Track and analyze student data to identify student learning needs and set ambitious, attainable goals for student progress. Planning and implementing strategies to achieve targets related to student learning outcomes. Working collaboratively with the School Director and other teachers to develop and revise curriculum based on assessment data. 3) Classroom Environment Building relationships with students that demonstrate an open concern and a sense of responsibility for students’ academic and personal growth. Maintaining an efficient, respectful and positive tone in your classroom. Utilizing time to maximize student learning and communicating a constant, tangible sense of urgency. Ensuring that all students are on task at all times during a lesson. Clearly enforcing and emphasizing school rules, values and expectations. Supervising students during lunch and transition periods. 4) Additional Responsibilities Utilizing your skills, talents, and effort to contribute to student and school success. Independently assuming additional responsibilities when necessary and demonstrating leadership. Making frequent phone calls, keeping parents informed of successes and struggles. Maintaining an orderly school culture. Attending professional development sessions. Other duties that may be necessary to fulfill the mission of the school. QUALIFICATIONS Relentless work ethic. Belief that all students have what it takes to be successful. Bachelor's degree from a competitive college or university. GPA must meet minimum requirements for NJ DOE certification. Demonstrated mastery of content knowledge and ability to drive student growth. Prior teaching experience in an urban No Excuses school setting strongly preferred. Extremely strong classroom management abilities. General Health Sciences #4200 endorsement Evidence of NJ Department of Education certification (CE/CEAS/Provisional/Standard) or out of state certification. Experience developing curriculum or potential to lead curricular development is strongly preferred. COMPENSATION & BENEFITS Great Oaks Legacy Charter School offers competitive salaries commensurate with experience and a comprehensive benefits package, including: Robust medical, dental, and vision insurance plans w/ comprehensive network coverage. Up to $5,250 per year in tax exempt student loan and tuition reimbursement. Reimbursements for external professional development aligned to your role. Wellness reimbursements including gym memberships, spa services, and more. Online counseling services - for staff and their dependents - via top-rated therapy app. Pre-tax state pension plan benefit w/ addl. options available via voluntary retirement plans. Pre-tax dependent care, health, and transit flexible spending plans available. Convenient health screening and telemedicine support via VitalCheck Wellness platform. We offer a competitive and fair compensation package that increases based on years of relevant experience. For teachers certified in New Jersey, the starting base salary is $69,500. For teachers certified outside of New Jersey, the starting base salary starts at $62,500 until the individual becomes certified in NJ. ABOUT GREAT OAKS LEGACY CHARTER SCHOOL The Great Oaks Legacy Charter School is a high-performing, innovative charter public school in Newark NJ, serving students from Pre-K to 12th grade on campuses across the city of Newark. Our mission is to prepare Newark’s students for success in college and beyond. Our model is based on the following guiding principles that guide our work daily – Creating a community that is built upon genuine and meaningful relationships. GOLCS staff rate our commitment to students as the #1 reason they teach/work at our schools. Being surgical in our approach to differentiation of instruction and support for all students and team members. Our students receive daily tutoring embedded into their school schedule - facilitated by our AmeriCorps team members. Staff members receive individualized coaching and support in their roles. Setting and exceeding high expectations for academic growth and character development for all students, in preparation for success in college and beyond. Currently, the historical college matriculation rate for GOLCS is 79% - nearly twice the national average for economically underrepresented students. DIVERSITY, EQUITY, INCLUSION, & ACCESSIBILITY GOLCS is committed to building a talented team that reflects the diverse backgrounds and experiences of our students. Furthermore, we believe that racial justice and equity is critical to our mission of preparing students for success in college and beyond. We strive to be an organization that is diverse, equitable, inclusive, and elevates our student voices in preparing them for life and college. EQUAL OPPORTUNITY EMPLOYMENT Great Oaks Legacy provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.", "summaryDescription" : "Career & Technology Education (CTE) Teacher- Computer Science (SY 26 - 27) at Great Oaks Legacy Charter School", "postedDate" : "2026-06-14T20:08:07.028", "createdAt" : "2026-06-14T20:08:07.028", "lastUpdated" : "2026-06-16T03:26:32.188", "ingestTimestamp" : "2026-06-14T20:08:07.028", "mongoId" : "6a2ca3b874d8ee00a09ad453", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a1666cb58b93c861ea76df8", "title" : "Administrative Assistant IV - Information Technology - Information Technology Division (028393)", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Administrative Assistant IV in Huntsville, adjusted for mid-seniority and full-time employment." }, "location" : "United States-Texas-HUNTSVILLE", "locations" : [ "United States-Texas-HUNTSVILLE" ], "timestamp" : "2026-06-16T00:21:19.104", "fingerprint" : "aee6cc33f4fe9cb1034b1b42c2f920c85ff78723595a4efc9efa1b7b4c8b3134", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa007.taleo.net/careersection/ex/jobdetail.ftl?job=21278", "externalId" : "21278", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Huntsville", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.7235263,-95.5507771" } ], "locationText" : "Huntsville, Texas, United States", "coreResponsibilities" : "Provide administrative support, Manage schedules, Coordinate meetings, Prepare reports, Handle correspondence, Maintain records, Assist with projects, Support IT staff", "domainKnowledge" : "Information Technology", "domainList" : [ "information-technology" ], "domainSpecificKnowledge" : [ "Information Technology" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "United States-Texas-HUNTSVILLE", "summaryDescription" : "Administrative Assistant IV - Information Technology - Information Technology Division (028393). Provide administrative support. Manage schedules", "createdAt" : "2026-06-14T18:53:30.502", "lastUpdated" : "2026-06-16T00:21:19.104", "ingestTimestamp" : "2026-06-14T18:53:30.502", "mongoId" : "6a1666cb58b93c861ea76df8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Information Technology" ], "skillCount" : 1, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c5ed074d8ee00a08e7165", "title" : "Senior Engineer- Artificial Intelligence", "company" : "Tucows Domains", "industry" : "Internet", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI Engineer in Canada, adjusted for the technology industry and remote work." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-15T01:37:52.203", "fingerprint" : "b13d13ab425551a6108166b4a5c9481fd75f533427ca099d735f40d70e630e18", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/domains/jobs/7712091003", "externalId" : "7712091003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada; United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Go, LLMs, AWS, Docker, Kubernetes", "professionalSkills" : [ "System design", "Agentic systems", "RAG architectures", "Data privacy", "Model bias", "Security standards" ], "hardSkillsList" : [ "Model selection", "Model deployment", "CI/CD", "Cloud inference" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Model selection", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Cloud inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Engineering, LLMs, Agentic frameworks, Production systems", "majorSkillsList" : [ "AI Engineering", "LLMs", "Agentic frameworks", "Production systems" ], "coreResponsibilities" : "Design AI-driven features, Implement scalable features, Own AI services lifecycle, Deploy AI services, Monitor AI services, Write maintainable code, Collaborate on infrastructure services, Establish data privacy standards, Establish model bias standards, Establish security standards", "teamCollaboration" : "Collaborating on core infrastructure", "domainKnowledge" : "Multi-agent systems; RAG architectures; Domain name system; Internet infrastructure", "domainList" : [ "multi-agent-systems", "rag-architectures", "domain-name-system", "internet-infrastructure" ], "domainSpecificKnowledge" : [ "Multi-agent systems", "RAG architectures", "Domain name system", "Internet infrastructure" ], "toolProficiency" : [ "Docker", "Kubernetes", "AWS" ], "communicationSkills" : "Translate complex concepts; Lead discussions; Influence decisions", "documentationSkills" : "Model cards; Privacy impact assessments", "qualificationsBasic" : "5+ years software engineering experience, 5+ years LLMs experience, Advanced Python proficiency, Experience with agentic frameworks, Experience with production systems", "qualificationsPreferred" : "Hands-on Go experience, Ability to ramp quickly in Go", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Tucows Domains is the world’s largest wholesale domain registrar, responsible for maintaining the health, neutrality, and openness of an important—but largely invisible part of the Internet: the domain name system (DNS). As part of Tucows—one of the world’s largest Internet companies—Tucows Domains has a rich history of helping make the Internet better, operating globally under the Ascio, Enom, Hover and OpenSRS brands. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! Today, over one thousand people from over 20 countries are part of our team. If this sounds exciting to you, join the herd! About the Opportunity At Tucows, we have spent three decades building the software and infrastructure that keeps the internet running. We believe in an internet that is open, reliable, and simple. As we integrate Artificial Intelligence into our ecosystem, we aren't looking for superficial implementations; we are looking to build robust, agentic systems that fundamentally improve how millions of users manage their digital identities and connectivity. We are seeking a Senior AI Engineer to join a dedicated team of engineers building the next generation of intelligent agents that help scale our business. You will bridge the gap between cutting-edge LLM research and production-grade software engineering, leading the development of systems that automate complex tasks with the same reliability our infrastructure is known for. This is a remote opportunity for applicants in Canada or USA. What You’ll Do System Architecture: Design and implement scalable AI-driven features with a focus on multi-agent systems and advanced RAG architectures. Production Excellence: Move beyond the prototype. You will own the full lifecycle of AI services, from model selection and deployment to monitoring in a Kubernetes environment Polyglot Engineering: Write clean, maintainable code primarily in Python, while collaborating on core infrastructure services written in Go. Ethical AI Leadership: Establish clear standards for data privacy, model bias, and security, including practices like model cards, red-teaming protocols, and privacy impact assessments, ensuring our AI initiatives remain transparent and aligned with our commitment to user trust. Key Skills & Experience Experience: 5+ years of professional software engineering experience, with a proven track record of shipping production-ready applications. AI Specialization: Demonstrated expertise working with Large Language Models (LLMs) and agentic frameworks, with a solid understanding of how to apply them to real-world production systems. Technical Stack: Advanced proficiency in Python is required. Hands-on experience with Go, or a demonstrated ability to ramp quickly in a Go-heavy environment, is strongly preferred. Infrastructure Knowledge: Familiarity with modern DevOps practices, including CI/CD, Docker, and cloud-based inference pipelines on AWS. Communication: Exceptional ability to translate complex AI concepts into clear, actionable language for both technical and non-technical audiences. You are comfortable leading discussions, influencing decisions, and mentoring engineers at all levels, making communication as much a part of your craft as the code you write. The base salary range for this position is $120,000 - $145,000 USD for US residents OR $126,090 to $140,100 CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing digital divide, and supporting fairness and equality. We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people. Tucows and its subsidiaries participate in the E-verify program for all US employees. Learn more about Tucows, our businesses, culture and employee benefits on our site here.", "summaryDescription" : "Senior Engineer- Artificial Intelligence at Tucows Domains. Skills: AI Engineering, LLMs, Agentic frameworks, Production systems. Design AI-driven features. Implement scalable features", "postedDate" : "2026-06-12T22:22:19.251", "createdAt" : "2026-06-12T22:22:19.251", "lastUpdated" : "2026-06-15T01:37:52.203", "ingestTimestamp" : "2026-06-12T22:22:19.251", "mongoId" : "6a2c5ed074d8ee00a08e7165", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Model selection", "Model deployment", "CI/CD", "Cloud inference", "Leadership", "Mentoring", "AI Engineering", "LLMs", "Agentic frameworks", "Production systems", "System design", "Agentic systems", "RAG architectures", "Data privacy", "Model bias", "Security standards", "Multi-agent systems", "Domain name system", "Internet infrastructure", "Docker", "Kubernetes", "AWS" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Internet" }, { "id" : "6a30783ef292fd229c02a527", "title" : "Adjunct Instructor - Supply Chain", "company" : "Fox Valley Technical College", "industry" : "Education", "salary" : { "min" : 45.0, "max" : 45.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T12:32:51.412", "fingerprint" : "c59ad8e08fd603540114c40e967424877a94d8b113a03bb066d780012ecb6dc7", "source" : "workday", "language" : "en", "applyUrl" : "https://fvtc.wd1.myworkdayjobs.com/FVTC/job/Non-FVTC-Locations/Supply-Chain-Adjunct-Instructor_JR2022-307", "externalId" : "JR2022-307", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Job Category** Adjunct Faculty **FVTC Worksite** Non-FVTC Locations **Hours Per Week** 8.75 **Note to internal applicants:** Do not apply via this portal. Login to your Workday Account and Find Internal Career Opportunities through the Internal Portal. **_Fox Valley Technical College celebrates diversity, supports equity and inclusiveness, and encourages individual expression in our workplace._** **Job Description Summary** Adjunct Instructors are responsible for the facilitation of student learning and the ongoing development of instructional strategies that promote student success. **Job Description** # Essential Functions and Responsibilities ### _The following duties are primarily performed and are essential for this position. Employees are expected to be able to perform each of these job duties satisfactorily and successfully to be qualified for the position. Other duties may be required and assigned._ * **Learning Facilitation** – Foster student learning by developing appropriate instructional strategies to meet diverse student needs and support student engagement. Create learning experiences that integrate instructional technologies to maximize student success and multiple delivery methodologies such as hybrid, in-person, virtual, and on-line course delivery. * **Assessment** – Assess student learning and provide regular feedback to help students be successful. Use data to measure quality outcomes related to student persistence, retention, completion rate, course success, and learning and to design improvement strategies based on the evidence. * **Curriculum Development** – Develop and continually revise curriculum and instructional materials that are competency-based, current, consistent with employer expectations, and aligned with the college policy on level of required documentation to successfully prepare graduates for their chosen career fields. * **Classroom Management** – Fulfill assigned schedule, maintain accurate student attendance and grade records, maintain instructional environment with emphasis on safety, housekeeping, and equipment security, and ensure opportunities for student/engagement evaluation. Ensure course materials (including textbooks) are available to students. * **Team Participation** – Support the college by engaging in division, department and team activities, and meetings including planning, development, and budgeting, and staying current with internal and external changes and initiatives. * **Business & Community Engagement** – Build and maintain ongoing relationships with community, industry, and clinical partners by participating in advisory committees, external meetings, business visits, and community groups Collaborate with staff to recruit students, participate in recruitment events, and proactively promote the College and our programs. * **Student Success & gaps and** Serve as an advocate for students and engage in activities that help students reach their goals by collaborating with Student Services staff to retain students, close achievement gaps, and help all students be successful. Advise students regarding class schedules, career information, internships, and other program-related information. * **Professional Development** – Continually improve knowledge and skills in emerging trends, current occupational practices, and teaching through professional development activities, networking with regional industry leaders, and the integration of new techniques and technology. Maintain Faculty Quality Assurance System requirements and licensure required to maintain individual and program accreditation. # Non-Essential Functions and Responsibilities * Committee participation * Team meeting participation # Minimum Qualifications ## Education/Experience Requirements: * AAS Degree or higher in related field is preferred. * Minimum of two (2) years of full-time occupational experience in a related field. * One year shall be within the past five (5) years. * One-year (or 2,000 hours) may be waived for occupational instructors with at least two (2) years of post-secondary teaching experience in the appropriate occupational field within five (5) years prior to the date of appointment. ### _In evaluating candidates for this position, Fox Valley Technical College may consider an exception to the education and experience requirements in the event of emergency staffing situations, pending credentials, specialized expertise or renowned qualifications of candidate, emerging fields, or lack of candidate availability. Exceptions must be approved by the Vice President of Learning/Chief Academic Officer._ ## Licenses, Certifications, and Other Requirements: * APICS certification from ASCM. * Proficiency utilizing learning management systems. * Strong verbal communication skills. * Adapt quickly to changing demands, assignments, and circumstances to meet student needs. * Communicate effectively and professionally with various audiences. * Engage in continuous improvement in the quality of instruction by embracing innovative methodologies, techniques, and delivery methods. # Work Environment * Work can be completed in a virtual environment. ### _Work environment may change based upon college needs._ # Physical Requirements * Sitting: This role requires extended periods of sitting while performing tasks and utilizing computer systems. * Mobility: While much of the work is desk-based, occasional mobility may be necessary for attending meetings, office tours, or events within the workplace. * Fine Motor Skills: This role may need precise hand movements or manual dexterity for activities such as writing on a whiteboard, demonstrating experiments, or using instructional technology like computers. * Repetitive Motions: Capacity to perform repetitive motions, such as typing, without discomfort or injury. * Communication: Clear verbal and written communication skills are essential for interacting with employees, candidates, and stakeholders, both in-person and through electronic means. # EOE/ADA Statement Fox Valley Technical College (FVTC) is an Equal Opportunity Employer (EOE). In compliance with the Americans with Disabilities Act (ADA), FVTC will provide reasonable accommodations to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer. ### _Nothing in this job description limits management’s right to assign or reassign duties and responsibilities to this job at any time. The duties listed above are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related or a logical assignment to the position. The job description does not constitute an employment agreement or affect the at-will nature of the employment arrangement between the employee and company and is subject to change by the employer as the needs of the employer and requirements of the job change._ **Additional Information** Hourly pay rate: $45.00 per hour. Pay is based on a multitude of factors, including experience, qualifications, education, relevant certifications, internal equity, and market data. Thank you for your interest in Adjunct Faculty opportunities with Fox Valley Technical College. Upon successful submission of your application, cover letter, and resume, you will be considered for future adjunct faculty opportunities. FVTC will keep your application in our files as a POTENTIAL candidate who could possibly fill a position when or if the need arises. ONLY if the need shall arise, you will be contacted via the contact information provided on your application, otherwise, you will not receive any further contact from FVTC. Adjunct instructors are hired on a per-course basis. The total hours for an adjunct instructor range from approximately 3 hours per week to no more than 8 hours per week. Hours vary and can include both day, evening, and weekend classes. Courses are taught in traditional classrooms and alternative delivery formats. Upon hire, new adjunct faculty are required to complete the mandatory, non-compensated Blackboard Basics & Orientation for Adjunct Instructors course within 30 days. Additional training is also required to qualify to teach in the Wisconsin Technical College System within the first three years of hire. If you should have any questions regarding adjunct teaching opportunities for this position, please contact Scott Borley, Dean of the Business & IT Division, at [scott.borley8857@fvtc.edu](mailto:borley@fvtc.edu). At Fox Valley Technical College, we recognize employees as key contributors to our mission and are committed to fostering a culture of fairness, transparency, and excellence. Our total rewards philosophy ensures equitable compensation and benefits, supporting a highly engaged workforce. In this position you will automatically be enrolled in the FICA Alternative Retirement Plan which helps you start save for retirement. Work-life balance is supported through flexible schedules or remote work options (for some positions) and wellbeing programs. Professional development opportunities include training. Additional perks at the Appleton Main Campus include an onsite dental clinic, fitness center, Parent/Child Center (onsite child care), library, café, printing services, Trilogy Salon & Spa, and more. Will accept applications on an ongoing basis. _Fox Valley Technical College is an Equal Opportunity/Affirmative Action institution, providing equal opportunity to all persons, including members of underrepresented racial and ethnic backgrounds, females, veterans and individuals of all abilities._ _For questions regarding the College’s nondiscrimination policy, contact: Rayon Brown -_[_rayon.brown6751 @fvtc.edu_](mailto:rayon.brown6751@fvtc.edu) _(Affirmative Action),_[_TitleIX @fvtc.edu_](mailto:TitleIX@fvtc.edu) _(sex-based discrimination or harassment), or Dan Squires -_[_daniel.squires3328 @fvtc.edu_](mailto:daniel.squires3328@fvtc.edu) _(Disability related discrimination)._", "summaryDescription" : "Adjunct Instructor - Supply Chain at Fox Valley Technical College", "postedDate" : "2026-06-13T03:50:39.189", "createdAt" : "2026-06-16T03:50:39.133", "lastUpdated" : "2026-06-16T12:32:51.412", "ingestTimestamp" : "2026-06-16T03:50:39.133", "mongoId" : "6a30783ef292fd229c02a527", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://fvtc.wd1.myworkdayjobs.com/FVTC/job/Non-FVTC-Locations/Supply-Chain-Adjunct-Instructor_JR2022-307", "salaryAnnualMin" : 93600, "salaryAnnualMax" : 93600, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "executive", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "68e0a7e3ce260f92cbf8eab4", "title" : "Applied Scientist, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T06:37:49.300", "fingerprint" : "cdef11a05377d67d9b8cd33b9f16968c2b948f8bbac43d391f48eac0825df722", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100271/apply", "externalId" : "e8a2d22e-6538-40e9-bd82-1e73fd1948d3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 1, "technicalSkills" : "Java, C++, Python, CNNs, GANs, VAEs", "professionalSkills" : [ "Deep learning", "Generative AI", "Large Language Models", "Multimodal systems" ], "hardSkillsList" : [ "Algorithm development", "Model development" ], "softSkillsList" : [ "Inventive" ], "hardSkills" : [ { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inventive" } ], "majorSkills" : "Deep learning, Generative AI, Large Language Models", "majorSkillsList" : [ "Deep learning", "Generative AI", "Large Language Models" ], "coreResponsibilities" : "Lead algorithm development, Lead modeling technique development, Advance state of the art with LLMs, Impact customers with GenAI products, Leverage Amazon's data sources, Leverage large-scale computing resources", "teamCollaboration" : "Work with talented peers", "domainKnowledge" : "Generative Artificial Intelligence; Large Language Models; Multimodal systems", "domainList" : [ "generative-artificial-intelligence", "large-language-models", "multimodal-systems" ], "domainSpecificKnowledge" : [ "Generative Artificial Intelligence", "Large Language Models", "Multimodal systems" ], "toolProficiency" : [ "PyTorch" ], "innovationCreativity" : "Inventive", "qualificationsBasic" : "1+ years building models, Master's degree and 4+ years CS/CE/ML, Programming in Java, C++, Python, Experience with generative deep learning models, Experience with CNNs, GANs, VAEs", "qualificationsPreferred" : "PhD in CS, EE, Math, Experience with GenAI, Experience with LLMs, Experience with patents or publications, Experience with PyTorch", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As an Applied Scientist with the AGI team, you will work with talented peers to lead the development of algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs. About the team The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers. Basic Qualifications: - 1+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Preferred Qualifications: - PhD in Computer Science, Electrical Engineering, Mathematics or related field - Strong experience with Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) - Experience with patents or publications at top-tier peer-reviewed conferences or journals - Experience with popular deep learning frameworks, including PyTorch Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Deep learning, Generative AI, Large Language Models. Lead algorithm development. Lead modeling technique development", "postedDate" : "2026-06-13T16:54:53.665", "createdAt" : "2026-06-13T16:54:53.665", "lastUpdated" : "2026-06-15T06:37:49.300", "ingestTimestamp" : "2026-06-13T16:54:53.665", "mongoId" : "68e0a7e3ce260f92cbf8eab4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100271/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithm development", "Model development", "Inventive", "Deep learning", "Generative AI", "Large Language Models", "Multimodal systems", "Generative Artificial Intelligence", "PyTorch" ], "skillCount" : 9, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e0a7e2ce260f92cbf8e967", "title" : "Language Engineer, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 67700.0, "max" : 151400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T02:23:40.890", "fingerprint" : "87f4943cdc926a95b23f69547698591e2c2a59b04599b84115d3aae146e451b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099797/apply", "externalId" : "d590ac8f-86d5-419e-ae9d-0258bdacefbd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, SQL, R, Matlab", "professionalSkills" : [ "Computational linguistics", "Language data processing", "AI data creation", "Multimodal datasets", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "AI models" ], "hardSkillsList" : [ "Data annotation", "Data markup", "Data analysis", "Data creation" ], "softSkillsList" : [ "Creativity" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data creation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creativity" } ], "majorSkills" : "Language data processing, AI data creation, Multimodal data", "majorSkillsList" : [ "Language data processing", "AI data creation", "Multimodal data" ], "coreResponsibilities" : "Design complex data collections, Author instructions, Define quality targets, Implement quality mechanisms, Coordinate data collection efforts, Plan data collection, Schedule data collection, Report data collection, Be responsible for final deliverables, Design data creation tasks, Conduct data creation tasks, Analyze data, Extract insights from data, Build tools for data analysis, Build tools for data creation, Use modeling tools, Bootstrap AI functionalities, Test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with data creators, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists; Scientists; Software engineers; Data creators", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Artificial General Intelligence; Computational Linguistics; Language data processing; AI data creation; Speech data; Text data; Multimodal data; Agentic workflows", "domainList" : [ "artificial-general-intelligence", "computational-linguistics", "language-data-processing", "ai-data-creation", "speech-data", "text-data", "multimodal-data", "agentic-workflows" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Computational Linguistics", "Language data processing", "AI data creation", "Speech data", "Text data", "Multimodal data", "Agentic workflows" ], "toolProficiency" : [ "APIs" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Problem solving skills", "qualificationsBasic" : "Master's or higher degree, 2+ years experience, Experience with language data annotation, Proficient with scripting languages, Experience with speech, text, and multimodal data, Excellent communication skills, Excellent organizational skills, Very detailed oriented", "qualificationsPreferred" : "PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience with speech, text, and multimodal data, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts such as APIs, Practical knowledge of version control, Practical knowledge of agile development, Familiarity with database queries, Familiarity with data analysis processes, Willingness to support several projects, Able to think creatively, Possess analytical skills, Possess problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $67,700/year in our lowest geographic market up to $151,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Language data processing, AI data creation, Multimodal data. Design complex data collections. Author instructions", "postedDate" : "2026-06-13T15:54:30.882", "createdAt" : "2026-06-13T15:54:30.882", "lastUpdated" : "2026-06-15T02:23:40.890", "ingestTimestamp" : "2026-06-13T15:54:30.882", "mongoId" : "68e0a7e2ce260f92cbf8e967", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099797/apply", "salaryAnnualMin" : 67700, "salaryAnnualMax" : 151400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Data markup", "Data analysis", "Data creation", "Creativity", "Language data processing", "AI data creation", "Multimodal data", "Computational linguistics", "Multimodal datasets", "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "AI models", "Agile development", "Artificial General Intelligence", "Computational Linguistics", "Speech data", "Text data", "Agentic workflows", "APIs" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a307baef292fd229c047578", "title" : "Information, Communications & Technology (ICT) Intern", "company" : "Deloitte", "industry" : "Financial Services", "salary" : { "min" : 480000.0, "max" : 720000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level ICT Intern in Nairobi, Kenya, adjusted for Deloitte's company size and industry." }, "location" : "Nairobi, Nairobi County, KE", "locations" : [ "Nairobi", "Nairobi County", "KE" ], "timestamp" : "2026-06-16T12:35:40.360", "fingerprint" : "b5e8b0d21724e76fcf17cd405d3af548e09d5be121f65146ab7155e2339d252d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Deloitte6/744000132179029-information-communications-technology-ict-intern", "externalId" : "744000132179029", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nairobi", "state" : "Nairobi County", "country" : "Kenya", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-1.2890006,36.8172812" } ], "locationText" : "Nairobi, Nairobi County, Kenya", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "remoteFriendly" : false, "rawDescription" : "About Deloitte At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek. Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better - by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems. Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T). Are you ready to apply your knowledge and background to exciting new challenges? From learning to leadership, this is your chance to take your career to the next level. About the Department The Tujenge Jamii project is a five-year U.S Department of State funded service delivery project, providing HIV care and treatment, as well as services in the area of maternal and newborn child health (MNCH) and nutrition. The project is focused on increasing the use of county-led health and social services in five counties in Kenya, namely Baringo, Kajiado, Laikipia, Nakuru and Samburu. Program Objectives : * Increased access and demand for quality HIV prevention services. * Increased access and demand for quality HIV treatment services. * Increased access and demand for quality MNCH and nutrition services. * Strengthened capacity of county health systems, local partners, and communities to deliver quality health services. Provide ongoing Information, Communication & Technology (ICT) support. What you will do * Configure new computers and provide routine maintenance of computers and other equipment for optimal performance. * Train users on new technologies and orient new staff on how to use the email system, policies, SOPs and IT resources. * Assist to carry out networking, setup switches and configure routers. * Ensure staff data are safely backed up on OneDrive and SharePoint. * Provide specifications for computers, printers, scanners, tablets and internet services as well as required confirmations during the procurement process. * Daily server room monitoring to ensure all the equipment are running optimally. * Keep an upto date inventory of IT items. * Liaise with service providers to ensure achievement of service level agreements. ## Qualifications * Bachelor’s Degree in Computer Science, Information Technology or Business and Information Technology. * Other professional skills: Microsoft Certified Professional, A+, N+, CCNA or other recognized and current I.T certification. * Proficient in Windows and Linux Operating Systems. * Strong work ethics and attention to detail. Behavioural Competencies * Excellent communication skills, both written and verbal. * Good interpersonal and relationship building skills. * Strong client delivery focus. * Adaptable, managing change and ambiguity with ease. * Focus on quality and risk. * Problem solving ability. * Good customer service skills. * Diligent and quick learner. ## Additional Information At Deloitte we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. Leadership Capabilities Living our Purpose - Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make. Influence - Influences clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people. Performance drive - Delivers exceptional client service; maximizes results and drives high performance from people while fostering collaboration across businesses and borders. Strategic direction - Understands key objectives for clients and Deloitte, aligns people to objectives and sets priorities and direction. Talent development - Develops high-performing people and teams through challenging and meaningful opportunities. Why Deloitte? At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. Deloitte opens the door to a career that can cross borders virtually and physically across the African continent and globally to gain experience and access projects beyond our borders. We value difference, and embrace people with diverse backgrounds, experiences, abilities and thinking styles. Our purpose Deloitte is led by a purpose: to make an impact that matters. Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte’s impact on the world. [#Makinganimpactthatmatters](https://www2.deloitte.com/global/en/pages/about-deloitte/articles/impact-that-matters.html) Recruiter Tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do research to know some background about our firm and the business area you are applying to. If you meet the above requirements, please visit our website and apply online: [Deloitte East Africa Careers portal](https://careers.smartrecruiters.com/Deloitte6/east-africa) . Your details will be treated with confidentiality and will not be shared with any third party. Closing date: Monday, 22 June 2026 We are an equal opportunity employer and do not ask individuals to pay any fees or money as part of the recruitment process. Women and Persons with Disabilities are encouraged to apply. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. 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This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek. Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better - by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems. Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T). Are you ready to apply your knowledge and background to exciting new challenges? From learning to leadership, this is your chance to take your career to the next level. About the Department The Tujenge Jamii project is a five-year U.S Department of State funded service delivery project, providing HIV care and treatment, as well as services in the area of maternal and newborn child health (MNCH) and nutrition. The project is focused on increasing the use of county-led health and social services in five counties in Kenya, namely Baringo, Kajiado, Laikipia, Nakuru and Samburu. Program Objectives : * Increased access and demand for quality HIV prevention services. * Increased access and demand for quality HIV treatment services. * Increased access and demand for quality MNCH and nutrition services. * Strengthened capacity of county health systems, local partners, and communities to deliver quality health services. Provide ongoing Information, Communication & Technology (ICT) support. What you will do * Configure new computers and provide routine maintenance of computers and other equipment for optimal performance. * Train users on new technologies and orient new staff on how to use the email system, policies, SOPs and IT resources. * Assist to carry out networking, setup switches and configure routers. * Ensure staff data are safely backed up on OneDrive and SharePoint. * Provide specifications for computers, printers, scanners, tablets and internet services as well as required confirmations during the procurement process. * Daily server room monitoring to ensure all the equipment are running optimally. * Keep an upto date inventory of IT items. * Liaise with service providers to ensure achievement of service level agreements. ## Qualifications * Bachelor’s Degree in Computer Science, Information Technology or Business and Information Technology. * Other professional skills: Microsoft Certified Professional, A+, N+, CCNA or other recognized and current I.T certification. * Proficient in Windows and Linux Operating Systems. * Strong work ethics and attention to detail. Behavioural Competencies * Excellent communication skills, both written and verbal. * Good interpersonal and relationship building skills. * Strong client delivery focus. * Adaptable, managing change and ambiguity with ease. * Focus on quality and risk. * Problem solving ability. * Good customer service skills. * Diligent and quick learner. ## Additional Information At Deloitte we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. Leadership Capabilities Living our Purpose - Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make. Influence - Influences clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people. Performance drive - Delivers exceptional client service; maximizes results and drives high performance from people while fostering collaboration across businesses and borders. Strategic direction - Understands key objectives for clients and Deloitte, aligns people to objectives and sets priorities and direction. Talent development - Develops high-performing people and teams through challenging and meaningful opportunities. Why Deloitte? At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. Deloitte opens the door to a career that can cross borders virtually and physically across the African continent and globally to gain experience and access projects beyond our borders. We value difference, and embrace people with diverse backgrounds, experiences, abilities and thinking styles. Our purpose Deloitte is led by a purpose: to make an impact that matters. Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte’s impact on the world. [#Makinganimpactthatmatters](https://www2.deloitte.com/global/en/pages/about-deloitte/articles/impact-that-matters.html) Recruiter Tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do research to know some background about our firm and the business area you are applying to. If you meet the above requirements, please visit our website and apply online: [Deloitte East Africa Careers portal](https://careers.smartrecruiters.com/Deloitte6/east-africa) . Your details will be treated with confidentiality and will not be shared with any third party. Closing date: Monday, 22 June 2026 We are an equal opportunity employer and do not ask individuals to pay any fees or money as part of the recruitment process. Women and Persons with Disabilities are encouraged to apply. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. 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"estimation_basis" : "Market baseline for an Information Technology Lead in Mountain View, United States, adjusted for lead seniority and the technology industry." }, "location" : "Mountain View, CA", "locations" : [ "Mountain View, CA" ], "timestamp" : "2026-06-15T08:23:42.661", "fingerprint" : "d24219bbd4f0ed2a11b4176ec6785aae38d4b4cb3098a2f21abad1c3c403fb43", "source" : "jazzhr", "language" : "en", "externalId" : "qE19lSFJdH", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "summaryDescription" : "Information Technology Lead", "createdAt" : "2026-06-14T01:02:44.880", "lastUpdated" : "2026-06-15T08:23:42.661", "ingestTimestamp" : "2026-06-14T01:02:44.880", "mongoId" : "6a2c63db74d8ee00a08f9cd1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "68ed10ae70f0b99d58e7bd09", "title" : "Applied Scientist, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:02:07.871", "fingerprint" : "eea135e9a3034b4f50dc5eb1dffb09123411ca069f0eb3cd8550054a5748f661", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104517/apply", "externalId" : "5cffe215-fb23-42a6-9c08-93399088cfe1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 1, "technicalSkills" : "Java, C++, Python, CNNs, GANs, VAEs, PyTorch", "professionalSkills" : [ "Model architecture", "Optimization methods", "Curriculum design", "Hyperparameter search", "Self-supervised learning", "Reinforcement learning", "Distributed training" ], "hardSkillsList" : [ "Deep learning", "Generative AI", "Large Language Models" ], "softSkillsList" : [ "Inventive" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Large Language Models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inventive" } ], "majorSkills" : "Generative AI, Large Language Models, Deep learning", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Deep learning" ], "coreResponsibilities" : "Work on pre-training methodologies, Interact with customers, Interact with academic communities, Work on scaling laws, Work on hardware-informed model architecture, Work on low-precision training, Work on optimization methods, Work on learning objectives, Work on curriculum design, Work on deep learning theories, Work on efficient hyperparameter search, Work on self-supervised learning, Work on learning objectives, Work on reinforcement learning methods, Work on distributed training methods, Work on distributed training solutions, Work on AI-assisted research", "teamCollaboration" : "Integral part of a team", "domainKnowledge" : "Generative Artificial Intelligence; Large Language Models; Multimodal systems", "domainList" : [ "generative-artificial-intelligence", "large-language-models", "multimodal-systems" ], "domainSpecificKnowledge" : [ "Generative Artificial Intelligence", "Large Language Models", "Multimodal systems" ], "toolProficiency" : [ "PyTorch" ], "innovationCreativity" : "Inventive", "qualificationsBasic" : "Master's degree and 4+ years experience, 1+ years building models, Experience programming in Java, C++, Python, Experience with generative deep learning models", "qualificationsPreferred" : "PhD in Computer Science, Electrical Engineering, Mathematics, Experience with Generative Artificial Intelligence (GenAI) technologies, Experience with Large Language Models (LLMs), Experience with patents or publications, Experience with popular deep learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. Key job responsibilities Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas: - Scaling laws - Hardware-informed efficient model architecture, low-precision training - Optimization methods, learning objectives, curriculum design - Deep learning theories on efficient hyperparameter search and self-supervised learning - Learning objectives and reinforcement learning methods - Distributed training methods and solutions - AI-assisted research About the team The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Preferred Qualifications: - PhD in Computer Science, Electrical Engineering, Mathematics or related field - Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs) - Experience with patents or publications at top-tier peer-reviewed conferences or journals - Experience with popular deep learning frameworks, including PyTorch Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Deep learning. Work on pre-training methodologies. Interact with customers", "postedDate" : "2026-06-13T14:29:45.139", "createdAt" : "2026-06-13T14:29:45.139", "lastUpdated" : "2026-06-15T04:02:07.871", "ingestTimestamp" : "2026-06-13T14:29:45.139", "mongoId" : "68ed10ae70f0b99d58e7bd09", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104517/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Deep learning", "Generative AI", "Large Language Models", "Inventive", "Model architecture", "Optimization methods", "Curriculum design", "Hyperparameter search", "Self-supervised learning", "Reinforcement learning", "Distributed training", "Generative Artificial Intelligence", "Multimodal systems", "PyTorch" ], "skillCount" : 14, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30783ef292fd229c02a52a", "title" : "Adjunct Instructor - Aesthetician", "company" : "Fox Valley Technical College", "salary" : { "min" : 45.0, "max" : 45.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Appleton, WI", "locations" : [ "Appleton, WI", "United States of America" ], "timestamp" : "2026-06-16T13:02:20.508", "fingerprint" : "f6ccdfa94c6f422867cda736a28e0c7891386027afd1ddc500aa2ae15beb9fc6", "source" : "workday", "language" : "en", "applyUrl" : "https://fvtc.wd1.myworkdayjobs.com/FVTC/job/Appleton-WI/Adjunct-Instructor---Aesthetician_JR2024-1123", "externalId" : "JR2024-1123", "industryFunction" : { }, "locationPoint" : "45.19691,-96.01977", "structuredLocations" : [ { "city" : "Appleton", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.2613967,-88.4069744" } ], "locationText" : "Appleton, Wisconsin, United States", "employmentType" : "PART_TIME", "remoteFriendly" : true, "rawDescription" : "**Job Category** Adjunct Faculty **FVTC Worksite** Appleton Main Campus **Hours Per Week** 8.75 **Note to internal applicants:** Do not apply via this portal. Login to your Workday Account and Find Internal Career Opportunities through the Internal Portal. **_Fox Valley Technical College celebrates diversity, supports equity and inclusiveness, and encourages individual expression in our workplace._** **Job Description Summary** Adjunct Instructors are responsible for the facilitation of student learning and the ongoing development of instructional strategies that promote student success. **Job Description** # Essential Functions and Responsibilities ### _The following duties are primarily performed and are essential for this position. Employees are expected to be able to perform each of these job duties satisfactorily and successfully to be qualified for the position. Other duties may be required and assigned._ * **Learning Facilitation** – Foster student learning by developing appropriate instructional strategies to meet diverse student needs and support student engagement. Create learning experiences that integrate instructional technologies to maximize student success and multiple delivery methodologies such as hybrid, in-person, virtual, and on-line course delivery. * **Assessment** – Assess student learning and provide regular feedback to help students be successful. Use data to measure quality outcomes related to student persistence, retention, completion rate, course success, and learning and to design improvement strategies based on the evidence. * **Curriculum Development** – Develop and continually revise curriculum and instructional materials that are competency-based, current, consistent with employer expectations, and aligned with the college policy on level of required documentation to successfully prepare graduates for their chosen career fields. * **Classroom Management** – Fulfill assigned schedule, maintain accurate student attendance and grade records, maintain instructional environment with emphasis on safety, housekeeping, and equipment security, and ensure opportunities for student/engagement evaluation. Ensure course materials (including textbooks) are available to students. * **Team Participation** – Support the college by engaging in division, department and team activities, and meetings including planning, development, and budgeting, and staying current with internal and external changes and initiatives. * **Business & Community Engagement** – Build and maintain ongoing relationships with community, industry, and clinical partners by participating in advisory committees, external meetings, business visits, and community groups Collaborate with staff to recruit students, participate in recruitment events, and proactively promote the College and our programs. * **Student Success & Support** – Serve as an advocate for students and engage in activities that help students reach their goals by collaborating with Student Services staff to retain students, close achievement gaps, and help all students be successful. Advise students regarding class schedules, career information, internships, and other program-related information. * **Professional Development** – Continually improve knowledge and skills in emerging trends, current occupational practices, and teaching through professional development activities, networking with regional industry leaders, and the integration of new techniques and technology. Maintain Faculty Quality Assurance System requirements and licensure required to maintain individual and program accreditation. # Minimum Qualifications ## Education/Experience Requirements: * Completion of an Aesthetician program focused on Wisconsin state licensure; bachelor’s degree preferred. * Prior teaching or training experience preferred. * Minimum of two (2) years full-time (or 4,000 total hours if part-time) of occupational experience in a target job for the program or programs being taught. * One year (or 2,000 hours) shall be within five (5) years prior to the date of appointment. * One year (or 2,000 hours) may be waived for occupational instructors with at least two (2) years of post-secondary teaching experience in the appropriate occupational field within five (5) years prior to the date of appointment. ### _In evaluating candidates for this position, Fox Valley Technical College may consider an exception to the education and experience requirements in the event of emergency staffing situations, pending credentials, specialized expertise or renowned qualifications of candidate, emerging fields, or lack of candidate availability. Exceptions must be approved by the Vice President of Learning/Chief Academic Officer._ ## Licenses, Certifications, and Other Requirements: * Current Wisconsin Aesthetician license is required. * Medical spa or dermatology/medical aesthetics experience preferred. * Experience with advanced treatments such as microneedling, laser therapies, or chemical peels preferred. * Maintain accurate client treatment records and follow HIPAA guidelines. * Operate and maintain aesthetic equipment safely and effectively. * Educate patients on skincare routines and post-treatment care. * Instruct students in both theory and clinical application of medical aesthetic procedures, including: * Chemical peels * Laser hair removal * Microneedling * Dermaplaning * IPL and laser skin rejuvenation * Radiofrequency and ultrasound-based treatments * Pre- and post-operative skincare * Ensure safe use and maintenance of medical devices and treatment equipment. * Promote best practices in infection control, patient confidentiality, and ethical conduct. * Knowledge of current educational methods and strategies, including learner-centered instruction, assessment, evaluation and collaborative techniques and strategies that address closing the gap in student access and achievement across race, gender and disability. * Proficiency utilizing learning management system. * Strong verbal communication skills. * Adapt quickly to changing demands, assignments, and circumstances to meet student needs. * Communicate effectively and professionally with various audiences. * Engage in continuous improvement in the quality of instruction by embracing innovative methodologies, techniques, and delivery methods. # Work Environment * Work will be completed in a hybrid environment (in person, virtually, and/or online) depending on the mode of delivery for the assigned course(s). * Work is typically performed in a classroom. * Work will be completed in an industry specific environment with machines, technology, and equipment. ### _Work environment may change based upon college needs._ # Physical Requirements * Flexibility: the role requires flexibility and mobility to demonstrate aesthetic techniques. * Lifting and Carrying: The role requires occasional/continuous lifting and carrying of light to moderate items (of up to 25 pounds). * Travel: Instructor position may require off-site teaching, fieldwork, or travel for professional development. * Sitting: This role requires extended periods of sitting while performing tasks and utilizing computer systems. * Mobility: While much of the work is desk-based, occasional mobility may be necessary for attending meetings, office tours, or events within the workplace. * Fine Motor Skills: This role may need precise hand movements or manual dexterity for activities such as writing on a whiteboard, demonstrating experiments, or using instructional technology like computers. * Repetitive Motions: Capacity to perform repetitive motions, such as typing, without discomfort or injury. * Communication: Clear verbal and written communication skills are essential for interacting with employees, candidates, and stakeholders, both in-person and through electronic means. # EOE/ADA Statement Fox Valley Technical College (FVTC) is an Equal Opportunity Employer (EOE). In compliance with the Americans with Disabilities Act (ADA), FVTC will provide reasonable accommodations to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer. ### _Nothing in this job description limits management’s right to assign or reassign duties and responsibilities to this job at any time. The duties listed above are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related or a logical assignment to the position. The job description does not constitute an employment agreement or affect the at-will nature of the employment arrangement between the employee and company and is subject to change by the employer as the needs of the employer and requirements of the job change._ **Additional Information** Hourly pay rate: $45.00 Pay is based on a multitude of factors, including experience, qualifications, education, relevant certifications, internal equity, and market data. Thank you for your interest in Adjunct Faculty opportunities with Fox Valley Technical College. Upon successful submission of your application, cover letter, and resume, you will be considered for future adjunct faculty opportunities. FVTC will keep your application in our files as a POTENTIAL candidate who could possibly fill a position when or if the need arises. ONLY if the need shall arise, you will be contacted via the contact information provided on your application, otherwise you will not receive any further contact from FVTC. Adjunct instructors are hired on a per course basis. The total hours for an adjunct instructor range from approximately 3 hours per week to no more than 8 hours per week. Hours vary and can include both day, evening, and weekend classes. Courses are taught in traditional classroom and alternative delivery formats. **If you should have any questions regarding adjunct teaching opportunities for this position, please contact Trent Sorensen at** [**trent.sorensen3336 @fvtc**.edu](mailto:trent.sorensen3336@fvtc.edu). At Fox Valley Technical College, we recognize employees as key contributors to our mission and are committed to fostering a culture of fairness, transparency, and excellence. Our total rewards philosophy ensures equitable compensation and benefits, supporting a highly engaged workforce. In this position you will automatically be enrolled in the FICA Alternative Retirement Plan which helps you start save for retirement. Work-life balance is supported through flexible schedules or remote work options (for some positions) and wellbeing programs. Professional development opportunities include training. Additional perks at the Appleton Main Campus include an onsite dental clinic, fitness center, Parent/Child Center (onsite child care), library, café, printing services, Trilogy Salon & Spa, and more. Will accept applications on an ongoing basis. _Fox Valley Technical College is an Equal Opportunity/Affirmative Action institution, providing equal opportunity to all persons, including members of underrepresented racial and ethnic backgrounds, females, veterans and individuals of all abilities._ _For questions regarding the College’s nondiscrimination policy, contact: Rayon Brown -_[_rayon.brown6751 @fvtc.edu_](mailto:rayon.brown6751@fvtc.edu) _(Affirmative Action),_[_TitleIX @fvtc.edu_](mailto:TitleIX@fvtc.edu) _(sex-based discrimination or harassment), or Dan Squires -_[_daniel.squires3328 @fvtc.edu_](mailto:daniel.squires3328@fvtc.edu) _(Disability related discrimination)._", "summaryDescription" : "Adjunct Instructor - Aesthetician at Fox Valley Technical College", "postedDate" : "2026-06-12T03:48:19.619", "createdAt" : "2026-06-16T03:48:19.608", "lastUpdated" : "2026-06-16T13:02:20.508", "ingestTimestamp" : "2026-06-16T03:48:19.608", "mongoId" : "6a30783ef292fd229c02a52a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://fvtc.wd1.myworkdayjobs.com/FVTC/job/Appleton-WI/Adjunct-Instructor---Aesthetician_JR2024-1123", "salaryAnnualMin" : 93600, "salaryAnnualMax" : 93600, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "executive", "dataQualityScore" : 0.7777778, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e41bf8b1b0376634c3e2", "title" : "Applied Scientist, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T07:48:53.975", "fingerprint" : "60b91b6633458382f5e994a2bf7de36b179a0afb684b36a98aacea4f695522fb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078798/apply", "externalId" : "687a54a7-26f8-408b-9011-5a77aa8a6957", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 1, "technicalSkills" : "Java, C++, Python, CNNs, GANs, VAEs, NF, PyTorch", "professionalSkills" : [ "System architecture", "Quality infrastructure" ], "hardSkillsList" : [ "Generative deep learning" ], "hardSkills" : [ { "name" : "Generative deep learning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Multimodal systems", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Multimodal systems" ], "coreResponsibilities" : "Support development of novel algorithms, Advance the state of the art, Impact customers, Leverage data sources, Accelerate development, Scale pre-training workflows, Scale post-training workflows, Build efficient models, Support system architecture, Support best practices, Enable quality infrastructure, Investigate design approaches, Prototype new technology, Prototype scientific techniques, Evaluate technical feasibility, Deliver results independently, Embrace new scientific advances, Adapt new scientific advances", "teamCollaboration" : "Integral part of team; Work with other team members; Self-organizing Agile environment", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Generative Artificial Intelligence; Large Language Models; Multimodal systems", "domainList" : [ "generative-artificial-intelligence", "large-language-models", "multimodal-systems" ], "domainSpecificKnowledge" : [ "Generative Artificial Intelligence", "Large Language Models", "Multimodal systems" ], "innovationCreativity" : "Inventive Applied Scientist", "problemSolvingSkills" : "Investigate design approaches; Evaluate technical feasibility", "qualificationsBasic" : "Master's degree and 4+ years experience, 1+ years building models, Experience programming Java, C++, Python, Experience generative deep learning models", "qualificationsPreferred" : "PhD in Computer Science, Electrical Engineering, Mathematics, Experience with Generative Artificial Intelligence (GenAI) technologies, Experience with Large Language Models (LLMs), Experience with patents or publications, Experience with popular deep learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on methodologies for Generative Artificial Intelligence (GenAI) models. As an Applied Scientist, you will be responsible for supporting the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI. You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training and post-training workflows and build efficient models. You will support the system architecture and the best practices that enable a quality infrastructure. Key job responsibilities Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas: - Pre-training and post-training multimodal LLMs - Scale training, optimization methods, and learning objectives - Utilize, build, and extend upon industry-leading frameworks - Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility - Deliver results independently in a self-organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Preferred Qualifications: - PhD in Computer Science, Electrical Engineering, Mathematics or related field - Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs) - Experience with patents or publications at top-tier peer-reviewed conferences or journals - Experience with popular deep learning frameworks, including PyTorch Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Multimodal systems. Support development of novel algorithms. Advance the state of the art", "postedDate" : "2026-06-13T11:49:17.083", "createdAt" : "2026-06-13T11:49:17.083", "lastUpdated" : "2026-06-15T07:48:53.975", "ingestTimestamp" : "2026-06-13T11:49:17.083", "mongoId" : "68c2e41bf8b1b0376634c3e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078798/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Generative deep learning", "Generative AI", "Large Language Models", "Multimodal systems", "System architecture", "Quality infrastructure", "Agile", "Generative Artificial Intelligence" ], "skillCount" : 8, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8370f0b99d5843f933", "title" : "Language Engineer, Artificial General Intelligence", "company" : "ADCI HYD 16 SEZ", "industry" : "Data Science, Language Engineer, Artificial Intelligence", "salary" : { "min" : 1150000.0, "max" : 1750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Language Engineer in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T04:44:15.203", "fingerprint" : "9ee57bf3def23b00c837897327e3e7fb68128cd3b41dae6062321d83ab294783", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138315/apply", "externalId" : "ba6a1ad2-574b-4283-8f64-1cf9271a1237", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, APIs, SQL, R, Matlab", "professionalSkills" : [ "Computational linguistics", "Language data processing", "AI data creation", "Data annotation", "Data markup", "Synthetic data generation", "Model-based data generation", "Human-in-the-loop data collections", "Multimodal datasets" ], "hardSkillsList" : [ "Language data annotation", "Data markup", "Scripting languages", "Speech data processing", "Text data processing", "Multimodal data processing", "Database queries", "Data analysis" ], "softSkillsList" : [ "Critical thinking", "Problem solving" ], "hardSkills" : [ { "name" : "Language data annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "Speech data processing", "level" : "intermediate" }, { "name" : "Text data processing", "level" : "intermediate" }, { "name" : "Multimodal data processing", "level" : "intermediate" }, { "name" : "Database queries", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Problem solving" } ], "majorSkills" : "Language Engineering, Data Services, AI Model Training, Dataset Development", "majorSkillsList" : [ "Language Engineering", "Data Services", "AI Model Training", "Dataset Development" ], "coreResponsibilities" : "Design complex data collections, Author instructions, Define quality targets, Implement quality mechanisms, Coordinate data collection efforts, Plan data collection, Schedule data collection, Report on data collection, Be responsible for final deliverables, Design data creation tasks, Conduct data creation tasks, Use synthetic data generation methods, Use model-based data generation methods, Analyze data, Extract insights from data, Build tools for data analysis, Build tools for data creation, Use modeling tools, Bootstrap AI functionalities, Test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with data creators, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Computational Linguistics; Language data processing; AI data creation; Speech data; Text data; Multimodal data; Agentic workflows; Machine Learning", "domainList" : [ "computational-linguistics", "language-data-processing", "ai-data-creation", "speech-data", "text-data", "multimodal-data", "agentic-workflows", "machine-learning" ], "domainSpecificKnowledge" : [ "Computational Linguistics", "Language data processing", "AI data creation", "Speech data", "Text data", "Multimodal data", "Agentic workflows", "Machine Learning" ], "toolProficiency" : [ "Python", "APIs", "SQL", "R", "Matlab", "Version control", "Agile development" ], "communicationSkills" : "Excellent communication", "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Problem solving skills", "qualificationsBasic" : "Master's or higher degree, 2+ years experience, language data processing experience, AI data creation experience, Experience with language data annotation systems, Experience with data markup, Proficient with scripting languages, Experience working with speech data, Experience working with text data, Experience working with multimodal data, Experience in multiple languages, Excellent communication skills, Excellent organizational skills, Very detailed oriented", "qualificationsPreferred" : "PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience working with speech data, Extensive experience working with text data, Extensive experience working with multimodal data, Extensive experience in multiple languages, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts, Practical knowledge of version control, Practical knowledge of agile development, Familiarity with database queries, Familiarity with data analysis processes, Willingness to support several projects, Willingness to accept reprioritization, Able to think creatively, Possess analytical skills, Possess problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at ADCI HYD 16 SEZ. Skills: Language Engineering, Data Services, AI Model Training, Dataset Development. Design complex data collections. Author instructions", "postedDate" : "2026-06-13T11:43:22.933", "createdAt" : "2026-06-13T11:43:22.933", "lastUpdated" : "2026-06-15T04:44:15.203", "ingestTimestamp" : "2026-06-13T11:43:22.933", "mongoId" : "693c2b8370f0b99d5843f933", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138315/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Language data annotation", "Data markup", "Scripting languages", "Speech data processing", "Text data processing", "Multimodal data processing", "Database queries", "Data analysis", "Critical thinking", "Problem solving", "Language Engineering", "Data Services", "AI Model Training", "Dataset Development", "Computational linguistics", "Language data processing", "AI data creation", "Data annotation", "Synthetic data generation", "Model-based data generation", "Human-in-the-loop data collections", "Multimodal datasets", "Agile development", "Computational Linguistics", "Speech data", "Text data", "Multimodal data", "Agentic workflows", "Machine Learning", "Python", "APIs", "SQL", "R", "Matlab", "Version control" ], "skillCount" : 35, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca18874d8ee00a09a5cb5", "title" : "Information / Cybersecurity Engineer (Clearance Required)", "company" : "Nexxis Solutions", "industry" : "Government", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Information/Cybersecurity Engineer in Annapolis Junction, United States, adjusted for mid-seniority level and industry." }, "location" : "Annapolis Junction, MD", "locations" : [ "Annapolis Junction", "MD" ], "timestamp" : "2026-06-15T05:13:36.867", "fingerprint" : "598c9533a9e614d34ba5de3683468e491b6e899be4b78b18ab67f9d63bcca9ec", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://nexxis-solutions.breezy.hr/p/47e43887d893-information-cybersecurity-engineer-clearance-required", "externalId" : "47e43887d893", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Annapolis Junction", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1189965,-76.7963417" } ], "locationText" : "Annapolis Junction, Maryland, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Risk assessment" ], "coreResponsibilities" : "Provide information security engineering, Provide system security engineering, Provide life cycle solutions, Provide system security testing, Provide risk assessment, Provide continuous monitoring, Provide Cybersecurity expertise", "specialRequirements" : "Clearance Required", "qualificationsBasic" : "Clearance Required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Nexxis Solutions is supporting current and near-term efforts to provide information and system security engineering, life cycle solutions, system security testing, risk assessment, and continuous monitoring. We are looking for candidates to provide Cybersecurity expertise to systems and projects t", "summaryDescription" : "Information / Cybersecurity Engineer (Clearance Required) at Nexxis Solutions. Provide information security engineering. Provide system security engineering", "createdAt" : "2026-06-14T01:38:44.756", "lastUpdated" : "2026-06-15T05:13:36.867", "ingestTimestamp" : "2026-06-14T01:38:44.756", "mongoId" : "6a2ca18874d8ee00a09a5cb5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Risk assessment" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b9170f0b99d5844011e", "title" : "Language Engineer, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 67700.0, "max" : 151400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T05:29:15.061", "fingerprint" : "4999e66bf43f5d6817a2f0481c871dd20421fcd96f459ae63d9550950b541e20", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137792/apply", "externalId" : "757195a9-870d-4ee6-a02e-bea6ba24ce13", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, SQL, R, Matlab", "professionalSkills" : [ "Data creation", "Data analysis", "AI data creation", "Language data processing", "Computational linguistics", "Multimodal data" ], "hardSkillsList" : [ "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "Data annotation", "Data markup", "Machine Learning concepts" ], "hardSkills" : [ { "name" : "Synthetic data generation", "level" : "intermediate" }, { "name" : "Model-supported data generation", "level" : "intermediate" }, { "name" : "Human-in-the-loop data collections", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Machine Learning concepts", "level" : "intermediate" } ], "majorSkills" : "Language data, AI models, Data collection, Data generation", "majorSkillsList" : [ "Language data", "AI models", "Data collection", "Data generation" ], "coreResponsibilities" : "Design data collections with human participants, Author instructions, Define quality targets, Implement quality mechanisms, Coordinate data collection efforts, Plan data collection, Schedule data collection, Report on data collection, Deliver final data, Design data creation tasks, Conduct data creation tasks, Analyze data, Extract insights from data, Build tools for data analysis, Build tools for data creation, Use modeling tools, Bootstrap AI functionalities, Test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with data creators, Evaluate performance of AI models", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Data scientists", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Artificial General Intelligence; AI models; Multimodal datasets; Computational Linguistics", "domainList" : [ "artificial-general-intelligence", "ai-models", "multimodal-datasets", "computational-linguistics" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "AI models", "Multimodal datasets", "Computational Linguistics" ], "communicationSkills" : "Excellent communication", "innovationCreativity" : "Driving innovation; Advancing state-of-the-art", "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "Experience owning language data collection projects, Master's degree in relevant field, 2+ years experience in computational linguistics, Experience with language data annotation systems, Proficient with scripting languages, Experience with speech, text, and multimodal data, Excellent communication skills, Excellent organizational skills, Very detailed oriented", "qualificationsPreferred" : "PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience with speech, text, and multimodal data, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Practical knowledge of version control, Familiarity with database queries, Familiarity with data analysis processes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning and technical concepts such as API - Practical knowledge of version control and agile development; familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $67,700/year in our lowest geographic market up to $151,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Language data, AI models, Data collection, Data generation. Design data collections with human participants. Author instructions", "postedDate" : "2026-06-13T09:16:06.640", "createdAt" : "2026-06-13T09:16:06.640", "lastUpdated" : "2026-06-15T05:29:15.061", "ingestTimestamp" : "2026-06-13T09:16:06.640", "mongoId" : "693c2b9170f0b99d5844011e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137792/apply", "salaryAnnualMin" : 67700, "salaryAnnualMax" : 151400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Synthetic data generation", "Model-supported data generation", "Human-in-the-loop data collections", "Data annotation", "Data markup", "Machine Learning concepts", "Language data", "AI models", "Data collection", "Data generation", "Data creation", "Data analysis", "AI data creation", "Language data processing", "Computational linguistics", "Multimodal data", "Agile", "Artificial General Intelligence", "Multimodal datasets", "Computational Linguistics" ], "skillCount" : 20, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6931903370f0b99d58087a17", "title" : "Research Engineer, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Artificial Intelligence", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T04:08:21.684", "fingerprint" : "6e90ced542d0bff463272c68404c7637b0d006c94fe2b2610ce1f4797ccd4cd6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137066/apply", "externalId" : "aea51c40-1e05-407e-b04d-e8bd6d63b6b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, Multimodal LLMs, Generative AI, CUDA, NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT", "professionalSkills" : [ "Applied science", "System architecture", "Engineering practices" ], "hardSkillsList" : [ "Distributed systems", "Algorithm development", "Modeling techniques" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Modeling techniques", "level" : "intermediate" } ], "majorSkills" : "Artificial General Intelligence, Large Language Models, Machine Learning", "majorSkillsList" : [ "Artificial General Intelligence", "Large Language Models", "Machine Learning" ], "coreResponsibilities" : "Support development of novel algorithms, Support development of modeling techniques, Advance the state of the art, Accelerate development with multimodal LLMs, Accelerate development with Generative AI, Scale pre-training workflows, Scale post-training workflows, Build efficient models, Drive system architecture, Spearhead best practices, Enable quality infrastructure, Support pre-training multimodal LLMs, Support post-training multimodal LLMs, Scale training on GPU clusters, Scale training on AWS Trainium clusters, Optimize training workflows, Optimize low-level details, Investigate design approaches, Prototype new technology, Prototype scientific techniques, Evaluate technical feasibility, Deliver results independently, Embrace new scientific advances, Adapt new scientific advances", "teamCollaboration" : "Work with other team members; Agile environment", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Large-scale distributed systems; Multimodal LLMs; Generative AI; Foundational Models", "domainList" : [ "large-scale-distributed-systems", "multimodal-llms", "generative-ai", "foundational-models" ], "domainSpecificKnowledge" : [ "Large-scale distributed systems", "Multimodal LLMs", "Generative AI", "Foundational Models" ], "innovationCreativity" : "Prototype new technology; Prototype scientific techniques", "problemSolvingSkills" : "Investigate design approaches; Evaluate technical feasibility", "qualificationsBasic" : "Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, Experience programming with at least one software programming language", "qualificationsPreferred" : "PhD or Master's degree in machine learning or equivalent, 2+ years of full software development life cycle experience, Hands-on experience training Foundational Models/LLMs, Low-level optimization of ML training workflows, CUDA kernels experience, Network I/O experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Research Engineer with a strong hands-on machine learning background, to support the development of industry-leading multimodal large-language foundational models (LLMs). As a Research Engineer with the AGI team, you will be responsible for supporting the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post-training workflows and build efficient models. You will help drive the system architecture, and spearhead the best practices that enable a quality infrastructure. The ideal candidate is clearly passionate about new opportunities and has a track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. Key job responsibilities - Responsible for pre and post-training multimodal LLMs. - Scale training of models on hyper large GPU and AWS Trainium clusters - Optimize training workflows using distributed training/parallelism techniques - Optimize low-level details of the training stack, including CUDA kernels, communication collectives, network I/O. - Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc) - Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility - Deliver results independently in a self organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI Foundations team is responsible for building industry leading Generative AI Foundational Models. Basic Qualifications: - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - PhD or Master's degree in machine learning or equivalent - 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Hands-on experience and expertise in training Foundational Models/LLMs, and/or low-level optimization of ML training workflows, CUDA kernels, network I/O. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Research Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Artificial General Intelligence, Large Language Models, Machine Learning. Support development of novel algorithms. Support development of modeling techniques", "postedDate" : "2026-06-13T09:14:00.590", "createdAt" : "2026-06-13T09:14:00.590", "lastUpdated" : "2026-06-15T04:08:21.684", "ingestTimestamp" : "2026-06-13T09:14:00.590", "mongoId" : "6931903370f0b99d58087a17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137066/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Algorithm development", "Modeling techniques", "Artificial General Intelligence", "Large Language Models", "Machine Learning", "Applied science", "System architecture", "Engineering practices", "Agile", "Large-scale distributed systems", "Multimodal LLMs", "Generative AI", "Foundational Models" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68e6b1dd70f0b99d58d66f1e", "title" : "Applied Scientist, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:53:55.070", "fingerprint" : "81dfe4eb4eef3aee04330ba66cc2faafd706ae277e97edb69d2c6116d93cc5ef", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102343/apply", "externalId" : "d4a655b3-542b-4be5-baa2-d9e0ba989d4e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 1, "technicalSkills" : "Java, C++, Python, PyTorch, TensorFlow, MxNet, Computer Vision, Deep Learning, Generative AI, Large Language Models", "professionalSkills" : [ "Business application", "Modeling techniques" ], "hardSkillsList" : [ "Algorithm development" ], "softSkillsList" : [ "Inventive" ], "hardSkills" : [ { "name" : "Algorithm development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inventive" } ], "majorSkills" : "Deep Learning, Generative AI, Multi-modal systems", "majorSkillsList" : [ "Deep Learning", "Generative AI", "Multi-modal systems" ], "coreResponsibilities" : "Develop algorithms, Develop modeling techniques, Advance state of the art, Impact customers with products, Impact customers with services, Leverage computing resources, Accelerate development with LLMs, Accelerate development with GenAI, Work safely with employees, Cooperate with employees, Adhere to standards of excellence, Communicate effectively with employees, Communicate respectfully with employees, Ensure exceptional customer, Follow federal laws, Follow state laws, Follow local laws, Follow Company policies, Exercise sound judgment, Manage stress, Work safely with others, Work respectfully with others, Exhibit trustworthiness, Exhibit professionalism, Safeguard business operations, Safeguard Company reputation", "teamCollaboration" : "Work with talented peers; Work with other employees; Work with supervisors; Work with staff", "domainKnowledge" : "Artificial General Intelligence; Multi-modal LLMs; GenAI in Computer Vision; Vision technology; Language technology; Image domains; Video domains", "domainList" : [ "artificial-general-intelligence", "multi-modal-llms", "genai-in-computer-vision", "vision-technology", "language-technology", "image-domains", "video-domains" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Multi-modal LLMs", "GenAI in Computer Vision", "Vision technology", "Language technology", "Image domains", "Video domains" ], "communicationSkills" : "Communicate effectively; Communicate respectfully", "innovationCreativity" : "Inventive", "problemSolvingSkills" : "Sound judgment", "qualificationsBasic" : "Master's degree and 4+ years experience, 1+ years building models, Experience programming Java, C++, Python", "qualificationsPreferred" : "PhD in computer science, Research publications, Experience with learning multi-modal LLMs, Experience with Gen AI in Computer Vision", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with generative AI (GenAI) and multi-modal systems. Key job responsibilities As an Applied Scientist with the AGI team, you will work with talented peers to develop algorithms and modeling techniques to advance the state of the art with multi-modal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision. About the team The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language Preferred Qualifications: - PhD in computer science, machine learning, engineering, or related fields - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Experience with learning multi-modal LLMs and Gen AI in Computer Vision, both in the image and video domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Deep Learning, Generative AI, Multi-modal systems. Develop algorithms. Develop modeling techniques", "postedDate" : "2026-06-13T08:45:00.297", "createdAt" : "2026-06-13T08:45:00.297", "lastUpdated" : "2026-06-15T03:53:55.070", "ingestTimestamp" : "2026-06-13T08:45:00.297", "mongoId" : "68e6b1dd70f0b99d58d66f1e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102343/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithm development", "Inventive", "Deep Learning", "Generative AI", "Multi-modal systems", "Business application", "Modeling techniques", "Artificial General Intelligence", "Multi-modal LLMs", "GenAI in Computer Vision", "Vision technology", "Language technology", "Image domains", "Video domains" ], "skillCount" : 14, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2df5aa74d8ee00a0cf694a", "title" : "Information Technology Technical Lead", "company" : "Jabil", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Information Technology Technical Lead in Guadalajara, Mexico, adjusted for Lead seniority and Manufacturing industry." }, "location" : "Guadalajara", "locations" : [ "Guadalajara", "Mexico" ], "timestamp" : "2026-06-15T23:07:57.502", "fingerprint" : "bf6ff9ca97b0c8fa59b9e3857ad684c6604fc45cb7aad53e2686bd9831242cbe", "source" : "workday", "language" : "en", "applyUrl" : "https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Guadalajara/Information-Technology-Technical-Lead_J2453552", "externalId" : "J2453552", "industryFunction" : { }, "locationPoint" : "20.67738,-103.34749", "structuredLocations" : [ { "city" : "Guadalajara", "state" : "Jalisco", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "20.6720375,-103.3383960" } ], "locationText" : "Guadalajara, Jalisco, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : false, "rawDescription" : "At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. **JOB SUMMARY** Provide technical leadership for enterprise information technology efforts, including the design, development and delivery of technology-enabled applications, products and services. Provide solutions to technical issues, and be responsible for meeting project schedules and ensuring the delivered solution meets the technical specifications and design requirements. Technical Lead will drive the proficiency within the team, assure best practices are followed, support the delivery of quality solutions, and assist management in meeting strategic initiatives. **ESSENTIAL DUTIES AND RESPONSIBILITIES** · Ability to work in a technical lead role to coordinate a team of resources to ensure quality and timely delivery of projects. · Works with functional managers to establish and maintain technical standards and guidelines for their area. · Works with functional manager to review and evaluate new technologies that may be beneficial to current and upcoming project work. · Participate in the technical design review process to ensure high quality technical designs. · Plan and oversee the development and support of specific IT areas and systems · Plan and direct activities related to introducing new services, products and processes · Coordinate technical tasks and work effort · Acts as an escalation for technical issues and support. · Lead technical teams · Identifies and communicates risks to the business. · Contributes in defining new business requirements. · Performs as a mentor on process and techniques to assure proficiency within the team. · Performs research and analysis on new technology and business practices with the team. · Align solutions within the overall IT strategy. · Assures best practices are defined and followed. · Drives consistency across applications and projects wherever possible. · Implement project management methodologies to ensure project success · Prepare and utilize project plans for significant IT development, enhancement and maintenance efforts · Develop and direct activities to increase systems and application availability · Act as a liaison for the technical team to the project management team and IT management · Communicate regularly with internal and external customers · Comply and follow all procedures within the company security policy. · May perform other duties and responsibilities as assigned. **JOB QUALIFICATIONS** **KNOWLEDGE REQUIREMENTS** · Proven proficiency across multiple disciplines and or technologies. · Fluent in business processes and best practices. · Advanced PC skills, including training and knowledge of Jabil’s software packages. · Ability to effectively present information in one-on-one and small group situations to customers, clients, and other employees of the organization. · Demonstrated technical leadership experience · Project management training · Strong communication and interpersonal skills to include excellent written and verbal communication skills, and proven ability to work with the customer, management and technical teams in a “self starter” role · Strong attention to detail TEN CUIDADO CON LOS FRAUDES: Las oportunidades laborales legítimas en Jabil se pueden encontrar en nuestro sitio web oficial Jabil.com. Ningun solicitante debe pagar para acceder a estas oportunidades de empleo. Al postularte para un empleo en Jabil, serás contactado a través del portal oficial de jabil por un correo electrónico con teminacion @jabil.com; llamada telefónica directa de un integrante del equipo de Jabil; o correo electrónico directo con una dirección de correo electrónico @jabil.com. Jabil no solicita pagos para realizar entrevistas ni en ningún otro momento durante el proceso de contratación. Jabil tampoco pedirá información personal de identificación como número de seguro social, acta de nacimiento, información de institución financiera, número de licencia de conducir o información de pasaporte por teléfono o correo electrónico. Si crees que estás siendo víctima de robo de identidad o fraude, repórtalo a la policía en los siguientes números y repórtala en el sitio web donde la encontraste. Llama a: 911 o 089. **Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.** # **Accessibility Accommodation** If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always_Accessible@Jabil.com with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to. #whereyoubelong", "summaryDescription" : "Information Technology Technical Lead at Jabil", "postedDate" : "2026-06-13T21:55:19.494", "createdAt" : "2026-06-14T21:55:19.457", "lastUpdated" : "2026-06-15T23:07:57.502", "ingestTimestamp" : "2026-06-14T21:55:19.457", "mongoId" : "6a2df5aa74d8ee00a0cf694a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Guadalajara/Information-Technology-Technical-Lead_J2453552", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b9170f0b99d5844011d", "title" : "Language Engineer, Artificial General Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Language Engineer, alexa and amazon devices", "salary" : { "min" : 58600.0, "max" : 131100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:02:01.045", "fingerprint" : "f9b6c0d0120fa12ea36432352cc9407c56743c2f2172e962e1c904196f631014", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137789/apply", "externalId" : "015444b2-023b-45be-ab3f-336cd4cb4aa1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "technicalSkills" : "Python, APIs, SQL, R, Matlab", "professionalSkills" : [ "Computational Linguistics", "language data processing", "AI data creation", "data markup", "data generation", "data analysis", "AI functionalities", "AI models" ], "hardSkillsList" : [ "language data annotation", "data markup", "synthetic data generation", "model-based data generation", "data analysis", "version control", "agile development", "database queries", "data analysis processes" ], "softSkillsList" : [ "organizational skills", "analytical skills", "problem solving skills" ], "hardSkills" : [ { "name" : "language data annotation", "level" : "intermediate" }, { "name" : "data markup", "level" : "intermediate" }, { "name" : "synthetic data generation", "level" : "intermediate" }, { "name" : "model-based data generation", "level" : "intermediate" }, { "name" : "data analysis", "level" : "intermediate" }, { "name" : "version control", "level" : "intermediate" }, { "name" : "agile development", "level" : "intermediate" }, { "name" : "database queries", "level" : "intermediate" }, { "name" : "data analysis processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "organizational skills" }, { "name" : "analytical skills" }, { "name" : "problem solving skills" } ], "majorSkills" : "Language Engineering, Artificial General Intelligence, Data Services, AI models", "majorSkillsList" : [ "Language Engineering", "Artificial General Intelligence", "Data Services", "AI models" ], "coreResponsibilities" : "Design complex data collections, author instructions, define quality targets, implement quality mechanisms, provide day-to-day coordination, planning, scheduling, reporting, be responsible for final deliverables, Design data creation tasks, conduct data creation tasks, Analyze data, extract insights from data, Build tools, build tool prototypes, Use modeling tools, bootstrap AI functionalities, test AI functionalities, Collaborate with scientists, Collaborate with software engineers, Collaborate with data creators, evaluate performance of AI models", "teamCollaboration" : "cross-functional teams; product managers; engineers; data scientists; scientists; software engineers; data creators", "projectManagementSkills" : [ "agile development" ], "domainKnowledge" : "Artificial General Intelligence; multimodal datasets; synthetic data generation; model-supported data generation; human-in-the-loop data collections; AI models; computational linguistics; language data processing; AI data creation; language data annotation; speech data; text data; multimodal data; agentic workflows; Machine Learning; APIs; version control; agile development; database queries; data analysis", "domainList" : [ "artificial-general-intelligence", "multimodal-datasets", "synthetic-data-generation", "model-supported-data-generation", "human-in-the-loop-data-collections", "ai-models", "computational-linguistics", "language-data-processing", "ai-data-creation", "language-data-annotation", "speech-data", "text-data", "multimodal-data", "agentic-workflows", "machine-learning", "apis", "version-control", "agile-development", "database-queries", "data-analysis" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "multimodal datasets", "synthetic data generation", "model-supported data generation", "human-in-the-loop data collections", "AI models", "computational linguistics", "language data processing", "AI data creation", "language data annotation", "speech data", "text data", "multimodal data", "agentic workflows", "Machine Learning", "APIs", "version control", "agile development", "database queries", "data analysis" ], "toolProficiency" : [ "version control", "agile development" ], "communicationSkills" : "communication; organizational skills", "innovationCreativity" : "driving innovation; advancing the state-of-the-art", "problemSolvingSkills" : "analytical and problem solving skills", "qualificationsBasic" : "Master's or higher degree, 2+ years experience, language data annotation systems, Proficient with scripting languages, Python, speech, text, and multimodal data, multiple languages", "qualificationsPreferred" : "PhD in Computational Linguistics, bootstrapping AI data collections, Extensive experience with speech, text, and multimodal data, multiple languages, data creation for complex agentic workflows, Practical experience with Machine Learning, Familiarity with technical concepts, Practical knowledge of version control, agile development, Familiarity with database queries, data analysis processes, support several projects, accept reprioritization, think creatively, analytical and problem solving skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing or AI data creation - Experience with language data annotation systems and other forms of data markup - Proficient with scripting languages, such as Python - Experience working with speech, text, and multimodal data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping AI data collections for quickly evolving requirements - Extensive experience working with speech, text, and multimodal data in multiple languages - Experience in data creation for complex agentic workflows - Practical experience with Machine Learning - Familiarity with technical concepts such as APIs - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $58,600/year in our lowest geographic market up to $131,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Language Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Language Engineering, Artificial General Intelligence, Data Services, AI models. Design complex data collections. author instructions", "postedDate" : "2026-06-13T07:04:30.528", "createdAt" : "2026-06-13T07:04:30.528", "lastUpdated" : "2026-06-15T01:02:01.045", "ingestTimestamp" : "2026-06-13T07:04:30.528", "mongoId" : "693c2b9170f0b99d5844011d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137789/apply", "salaryAnnualMin" : 58600, "salaryAnnualMax" : 131100, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "language data annotation", "data markup", "synthetic data generation", "model-based data generation", "data analysis", "version control", "agile development", "database queries", "data analysis processes", "organizational skills", "analytical skills", "problem solving skills", "Language Engineering", "Artificial General Intelligence", "Data Services", "AI models", "Computational Linguistics", "language data processing", "AI data creation", "data generation", "AI functionalities", "multimodal datasets", "model-supported data generation", "human-in-the-loop data collections", "computational linguistics", "speech data", "text data", "multimodal data", "agentic workflows", "Machine Learning", "APIs" ], "skillCount" : 31, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "adjunct instructor artificial intelligence computer science cybersecurity information technology engineering pooled position central campus jobs", "metadata" : { "title" : "adjunct instructor artificial intelligence computer science cybersecurity information technology engineering pooled position central campus" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 90864, "totalPages" : 1818, "hasNext" : true, "hasPrevious" : false } }

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