{ "count" : 2522, "data" : [ { "id" : "6a306ee8f292fd229cfe2d4e", "title" : "Senior Engineer, Test & Evaluation (R5141)", "company" : "Shield AI", "industry" : "X-BAT Engineering - System Engineering & Integrated Test", "salary" : { "min" : 140000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Dallas, Texas", "locations" : [ "Dallas, Texas" ], "timestamp" : "2026-06-16T13:15:57.337", "fingerprint" : "a08035b099426bb2d3cfbcd12c97eaa01abcb4d8ed3dbbbbc4c6c8b83d06ed52", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/ef4ee6b8-9a11-4870-bbbd-1140f1434cef/apply", "externalId" : "ef4ee6b8-9a11-4870-bbbd-1140f1434cef", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are looking for a driven and hands-on test professional to support aircraft and system testing in a fast-paced aerospace environment on our XBAT program. This role is ideal for someone who enjoys solving complex problems, working closely with cross-functional teams, and seeing projects move from early development through production and flight operations. The right candidate will have experience planning and executing tests for UAV or manned aircraft platforms and be comfortable building test plans and procedures from the ground up. This individual should be organized, adaptable, and detail-oriented, with the ability to manage multiple test activities while maintaining a strong focus on safety, quality, and mission success. ## What you'll do Manage and maintain traceability of test requirements throughout system development, integration, and test execution phases. Plan, coordinate, and execute aircraft/lab test execution activities, including pre-test readiness reviews, test conduct, data collection, and post-test reporting. Coordinate test schedules and support comprehensive test planning activities to ensure alignment with program milestones and objectives. Develop and manage test event sequencing and execution plans throughout the aircraft build and integration lifecycle. Coordinate and oversee ground and flight test execution activities, ensuring adherence to approved procedures, safety requirements, and program objectives. Ensure test activities, methodologies, and deliverables align with engineering, mission, and program requirements. Participate in Test Readiness Reviews (TRRs), test planning meetings, and pre-test briefings to support successful test execution. Develop, maintain, and continuously improve test procedures to enhance accuracy, efficiency, repeatability, and overall execution quality. Investigate, troubleshoot, and evaluate test anomalies, discrepancies, and system performance issues to support timely resolution. Collaborate closely with Test Engineering, Quality Engineering, and cross-functional teams to resolve issues, implement corrective actions, and improve test processes. Drive continuous improvement initiatives focused on increasing test efficiency, execution quality, and operational effectiveness. Support extended work hours, shift work, and weekend operations as required to meet test schedules, flight operations, and program commitments. ## Required qualifications Bachelor's degree in Engineering or related technical field and 5+ years of relevant aerospace, aircraft test, or flight test experience; or equivalent combination of education and experience. Experience planning, executing, and reporting on test activities for UAV, UAS, or manned aircraft systems. Ability to read, interpret, and understand engineering drawings, schematics, and technical documentation. Experience developing aircraft test plans, test procedures, and test documentation for new or modified aircraft systems. Hands-on experience supporting aircraft integration, test, and validation activities in a production or manufacturing environment. Ability to troubleshoot complex aircraft, avionics, and system integration issues during test activities. Strong written and verbal communication skills with the ability to collaborate effectively across cross-functional teams. Demonstrated attention to detail with a proactive, safety-focused approach to testing and operations. Ability to obtain and maintain a DoD Secret security clearance and any required program access. Willingness to work non-standard hours, including evenings and weekends, as required to support program objectives. Ability to travel domestically to support flight test and customer site activities. ## Preferred qualifications Active DoD Secret security clearance (current preferred) with eligibility to support special access programs. Experience supporting Group 5 UAS/UAV launch, recovery, and flight operations. Hands-on experience with aircraft avionics systems, integration, troubleshooting, and testing. Aircraft maintenance experience supporting military, commercial, or unmanned aircraft platforms. Experience conducting laboratory-based testing, verification, and validation of aircraft systems, subsystems, or components. ## Additional Information #LI-AD6 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Senior Engineer, Test & Evaluation (R5141) at Shield AI", "postedDate" : "2026-06-15T19:59:02.583", "createdAt" : "2026-06-15T19:59:02.583", "lastUpdated" : "2026-06-16T13:15:57.337", "ingestTimestamp" : "2026-06-16T03:25:08.688", "mongoId" : "6a306ee8f292fd229cfe2d4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b03f292fd229cf58489", "title" : "Senior Machine Learning Engineer, Simulation Evaluation", "company" : "Waymo", "industry" : "Technology", "salary" : { "min" : 213000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-16T06:56:42.162", "fingerprint" : "51e7131048cd83f542f87ec256768b1f711d3e057570e3c8f28d5d96476149af", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.withwaymo.com/jobs?gh_jid=8001797", "externalId" : "8001797", "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", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Jax, Flax, PyTorch, Generative AI, Deep learning, Machine learning, Multimodal world models, Vision language models, Video generation, Diffusion models, Flow matching, 3D generative models, World models, Sensor data simulation, Lidar, Radar, Semantic scenes modeling, Autonomous systems, Robotics software, Autonomous vehicle simulations, GPU, TPU, C++", "professionalSkills" : [ "System design", "Data workflows", "Evaluation tools", "ML pipelines" ], "hardSkillsList" : [ "Deep learning systems", "ML pipelines", "Generative vision paradigms", "Multimodal world models", "Video generation techniques", "Temporal stability", "Multi-modal consistency", "Geometric discrepancy", "Condition following", "Semantic understanding", "Controllability", "4D world modeling", "Generative AI", "Large-scale generative models", "3D generative models", "World models", "Video generation", "Sensor data simulation", "Semantic scenes modeling", "Autonomous systems development", "Robotics software development", "Autonomous vehicle simulation", "Model training", "Model optimization", "GPU clusters", "TPU clusters", "Production serving", "High-performance systems" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Deep learning systems", "level" : "intermediate" }, { "name" : "ML pipelines", "level" : "intermediate" }, { "name" : "Generative vision paradigms", "level" : "intermediate" }, { "name" : "Multimodal world models", "level" : "intermediate" }, { "name" : "Video generation techniques", "level" : "intermediate" }, { "name" : "Temporal stability", "level" : "intermediate" }, { "name" : "Multi-modal consistency", "level" : "intermediate" }, { "name" : "Geometric discrepancy", "level" : "intermediate" }, { "name" : "Condition following", "level" : "intermediate" }, { "name" : "Semantic understanding", "level" : "intermediate" }, { "name" : "Controllability", "level" : "intermediate" }, { "name" : "4D world modeling", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Large-scale generative models", "level" : "intermediate" }, { "name" : "3D 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learning", "majorSkillsList" : [ "Machine learning", "Generative AI", "Simulation evaluation", "Deep learning" ], "coreResponsibilities" : "Lead design, development, and deployment of evaluation approaches, Assess realism of multimodal world models, Assess realism of generative systems, Architect and implement ML pipelines, Tune ML pipelines, Evaluate ML pipelines, Deploy ML pipelines, Evaluate video generation techniques, Measure realism, Apply vision language models, Evaluate semantic understanding, Evaluate controllability, Integrate advancements in 4D world modeling, Integrate advancements in generative AI, Mentor engineers, Provide technical guidance", "teamCollaboration" : "Research teams across Waymo; Research teams across Alphabet", "domainKnowledge" : "Autonomous driving; Generative models; World models; Video generation; Sensor data simulation; Semantic scenes modeling; Autonomous systems; Robotics software; Autonomous vehicle simulation; Multimodal world models; Generative AI", "domainList" : [ "autonomous-driving", "generative-models", "world-models", "video-generation", "sensor-data-simulation", "semantic-scenes-modeling", "autonomous-systems", "robotics-software", "autonomous-vehicle-simulation", "multimodal-world-models", "generative-ai" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Generative models", "World models", "Video generation", "Sensor data simulation", "Semantic scenes modeling", "Autonomous systems", "Robotics software", "Autonomous vehicle simulation", "Multimodal world models", "Generative AI" ], "toolProficiency" : [ "Jax", "Flax", "PyTorch" ], "innovationCreativity" : "Pioneer machine learning paradigms; Pioneer generative vision paradigms", "problemSolvingSkills" : "Mathematically prove world is real", "qualificationsBasic" : "Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field, Five or more years of experience in machine learning engineering or applied deep learning, Proficient programming skills in Python, Hands-on experience with modern machine learning frameworks, Experience designing and implementing evaluation frameworks for complex systems or machine learning models", "qualificationsPreferred" : "Track record of training large-scale generative models, PhD and demonstrated success delivering ML products focused on 3D generative models, world models, or video generation, Experience simulating sensor data, Experience modeling semantic scenes, Experience developing autonomous systems, Experience developing robotics software, Experience developing autonomous vehicle simulations, Experience training and optimizing large-scale models on GPU or TPU clusters, Professional experience writing C++ for high-performance production systems", "remoteFriendly" : false, "rawDescription" : "Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The Challenge Waymo’s simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. The Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is \"real\"? We are seeking visionary machine learning engineers and researchers to architect the scalable deep learning systems, novel data workflows, and eval tools that power our research roadmap. In this role, you will pioneer the machine learning and generative vision paradigms required to define and measure the realism of our multimodal world models. Your work will define the state of the art for autonomous simulation, directly steering our research trajectory and the capabilities of the Waymo Driver. You will: Lead the design, development and deployment of cutting-edge evaluation approaches to assess realism of state-of-the-art multimodel world models and generative systems for simulation use cases at Waymo. Architect and implement robust and scalable machine learning pipelines for tuning, evaluating, and deploying large-scale discriminator models for the purposes of simulator realism evaluation. Evaluate open-source and production-ready video generation techniques that measure realism (e. g. temporal stability, multi-modal consistency, geometric discrepancy, condition following, etc.) Apply vision language models to evaluate semantic understanding and controllability across our world simulation products. Collaborate with research teams across Waymo and Alphabet to integrate advancements in 4D world modeling and generative AI into production systems. Mentor engineers on the team and provide technical guidance on architecture and execution. You have: Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field. Five or more years of experience in machine learning engineering or applied deep learning, supported by a portfolio of shipped products or peer-reviewed publications. Proficient programming skills in Python and hands-on experience with modern machine learning frameworks such as Jax, Flax, or PyTorch. Experience designing and implementing evaluation frameworks for complex systems or machine learning models. We prefer: Track record of training large-scale generative models (diffusion models, flow matching, vision language models, etc.) A PhD and demonstrated success delivering machine learning products focused on 3D generative models, world models, or video generation. Experience simulating sensor data, including camera, lidar, and radar, or modeling semantic scenes. Experience developing autonomous systems, robotics software, or autonomous vehicle simulations. Experience training and optimizing large-scale models on GPU or TPU clusters for efficient production serving. Professional experience writing C++ for high-performance production systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD", "summaryDescription" : "Senior Machine Learning Engineer, Simulation Evaluation at Waymo. Skills: Machine learning, Generative AI, Simulation evaluation, Deep learning. Lead design, development, and deployment of evaluation approaches. Assess realism of multimodal world models", "postedDate" : "2026-06-15T23:27:27.307", "createdAt" : "2026-06-15T23:27:27.307", "lastUpdated" : "2026-06-16T06:56:42.162", "ingestTimestamp" : "2026-06-15T23:27:27.307", "mongoId" : "6a305b03f292fd229cf58489", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 213000, "salaryAnnualMax" : 263000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Deep learning systems", "ML pipelines", "Generative vision paradigms", "Multimodal world models", "Video generation techniques", "Temporal stability", "Multi-modal consistency", "Geometric discrepancy", "Condition following", "Semantic understanding", "Controllability", "4D world modeling", "Generative AI", "Large-scale generative models", "3D generative models", "World models", "Video generation", "Sensor data simulation", "Semantic scenes modeling", "Autonomous systems development", "Robotics software development", "Autonomous vehicle simulation", "Model training", "Model optimization", "GPU clusters", "TPU clusters", "Production serving", "High-performance systems", "Mentoring", "Machine learning", "Simulation evaluation", "Deep learning", "System design", "Data workflows", "Evaluation tools", "Autonomous driving", "Generative models", "Autonomous systems", "Robotics software", "Jax", "Flax", "PyTorch" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69f2d9ba4c40e2acd18900b4", "title" : "Nondestructive Evaluation (NDE) Engineer", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an NDE Engineer in Houston, adjusted for mid-seniority in the aerospace industry." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "certifications" : [ "ASNT Level 3 certification" ], "timestamp" : "2026-06-16T01:13:45.564", "fingerprint" : "70ed99f42bb5dde27150a2a88467750c29c66f553b98e61ec542c0c767154a49", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324774", "externalId" : "324774", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "technicalSkills" : "X-ray inspection, Ultrasonic testing, Eddy current testing, Fluorescent eddy current, Eddy current ultrasonic, Phased array, Film inspection, Computed inspection, Digital computed inspection, Laser inspection, Infrared inspection, Machine learning", "professionalSkills" : [ "Procedure development", "Personnel qualification", "Probability of detection", "Inspection procedure qualification", "Failure investigation", "Problem resolution", "Equipment acquisition", "Equipment retirement", "Fracture control" ], "hardSkillsList" : [ "NDE methods", "NDE techniques", "NDE requirements", "NDE plans", "NDE procedures", "NDE reports", "NDE issues", "NDE work activity", "NDE Laboratory operations" ], "hardSkills" : [ { "name" : "NDE methods", "level" : "intermediate" }, { "name" : "NDE techniques", "level" : "intermediate" }, { "name" : "NDE requirements", "level" : "intermediate" }, { "name" : "NDE plans", "level" : "intermediate" }, { "name" : "NDE procedures", "level" : "intermediate" }, { "name" : "NDE reports", "level" : "intermediate" }, { "name" : "NDE issues", "level" : "intermediate" }, { "name" : "NDE work activity", "level" : "intermediate" }, { "name" : "NDE Laboratory operations", "level" : "intermediate" } ], "majorSkills" : "Nondestructive Evaluation, NDE procedures, NDE methods", "majorSkillsList" : [ "Nondestructive Evaluation", "NDE procedures", "NDE methods" ], "coreResponsibilities" : "Prepare NDE requirements, Review NDE requirements, Assess NDE requirements, Prepare NDE plans, Review NDE plans, Assess NDE plans, Prepare NDE procedures, Review NDE procedures, Assess NDE procedures, Prepare NDE reports, Review NDE reports, Assess NDE reports, Plan probability of detection demonstrations, Review probability of detection demonstrations, Assess probability of detection demonstrations, Plan inspection procedure qualification tests, Review inspection procedure qualification tests, Assess inspection procedure qualification tests, Analyze NDE issues, Resolve NDE issues, Complete actions towards resolution, Recommend NDE methods, Recommend NDE techniques, Recommend physical reference standards, Recommend qualification tests, Prepare NDE work activity reports, Present NDE work activity reports, Plan inspections, Conduct inspections, Report inspections, Support NDE Laboratory operations, Support NDE Laboratory maintenance, Recommend state-of-the-art equipment acquisitions, Recommend outdated equipment retirement, Represent NASA NDE/M&P engineering, Perform other duties as required", "teamCollaboration" : "Multidisciplinary team", "domainKnowledge" : "Human space exploration; Deep space exploration; Aerospace materials; Aerospace components; Metallic materials; Nonmetallic materials; Composite materials; Manufacturing processes; Welding; Additive manufacturing; Composite fabrication; Composite repair; Fracture control", "domainList" : [ "human-space-exploration", "deep-space-exploration", "aerospace-materials", "aerospace-components", "metallic-materials", "nonmetallic-materials", "composite-materials", "manufacturing-processes", "welding", "additive-manufacturing", "composite-fabrication", "composite-repair", "fracture-control" ], "domainSpecificKnowledge" : [ "Human space exploration", "Deep space exploration", "Aerospace materials", "Aerospace components", "Metallic materials", "Nonmetallic materials", "Composite materials", "Manufacturing processes", "Welding", "Additive manufacturing", "Composite fabrication", "Composite repair", "Fracture control" ], "toolProficiency" : [ "MS Office" ], "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Technical writing", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Occasional travel, Proof of U.S. Citizenship, US Permanent Residency, Complete U.S. government background investigation, Office environment, Inside work, Outside work, Sitting for extended periods, Standing for extended periods, Lifting up to 25 lbs, Regular attendance, Ability to work outside normal schedule, Adjust schedule to meet peak periods, Adjust schedule to meet surge requirements", "qualificationsBasic" : "Bachelor's degree in science or engineering, 1 year of direct experience, Hands-on experience in NDE, Basic understanding of NDE procedure assessments, Familiarity with common NDE techniques, Proficiency with standard desktop software MS Office, Oral and written communication skills, Ability to work effectively within a multidisciplinary team", "qualificationsPreferred" : "Ph.D. preferred, 5-10 years of experience in NDE, Formal education in NDE desirable, ASNT Level 3 certification is favorable, Experience supporting NDE development, Experience with NDE simulation software, Familiar with metallic and nonmetallic materials", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Nondestructive Evaluation (NDE) Engineer to join the JETSII Contract! The candidate specializes in some of the NDE methods, such as x-ray inspection, ultrasonic testing, and eddy current testing including development, qualification of NDE procedures, and personnel qualification and certification. Work under this position supports multiple programs, including Commercial Crew Program (CCP). The work includes: Prepare, review, and assess NDE requirements, plans, procedures, and reports covering a broad range of metallic, nonmetallic, and composite materials and manufacturing processes Plan, review, assess, and conduct probability of detection (POD) capability demonstrations and inspection procedure qualification tests Analyze and resolve NDE issues and complete actions towards resolution Recommend NDE methods, techniques, physical reference standards, and qualification tests to satisfy NDE requirements Prepare and present NDE work activity reports for project and program meetings Plan, conduct, and report inspections in support of procedure development, hardware failure investigation, and problem resolution Support NDE Laboratory operations and maintenance through recommendation of state-of-the-art equipment acquisitions and outdated equipment retirement Represent NASA NDE/M&P engineering at government and industry Materials & Processes (M&P) and fracture control forums including technical interchange meetings, working groups, and conferences as required Tasks will involve all NDE methods and techniques with emphasis on fluorescent penetrant; eddy current and eddy current array; ultrasonic, phased array, and EMAT; film, computed, and digital radiography; computed tomography; laser shearography; and infrared thermography; inspection automation; and machine learning applied to aerospace materials and components The position requires occasional travel Perform other duties as required Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor's degree in Engineering with experience in the field or in a related area. Bachelor's degree in science or engineering from an ABET‑accredited university. Hands‑on experience in NDE (internships, coursework) and/or a minimum of 1 year of direct experience. Basic understanding of NDE procedure assessments, development, and problem solving Familiarity with common NDE techniques, including fluorescent penetrant; eddy current and eddy current array; ultrasonic and phased array; radiography; computed tomography; laser shearography; infrared thermography; and inspection automation. Proficiency with standard desktop software applications; MS Office required. Strong oral and written communication skills and the ability to work effectively within a multidisciplinary team. Requisition Preferences: Ph.D. preferred. 5-10 years of experience in NDE. Formal education in NDE is desirable but not necessary if professional NDE training/experience has been obtained. ASNT Level 3 certification is favorable but not required. Previous experience supporting NDE development, test, and evaluation activities for NASA and/or Aerospace projects Experience with use of NDE simulation software applications, e.g., CIVA, ESBeamTool, and POD software, e.g. mh1823 Familiar with metallic and nonmetallic materials and their manufacturing processes, which include welding, additive manufacturing, composite fabrication, and repair. Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Nondestructive Evaluation (NDE) Engineer. Skills: Nondestructive Evaluation, NDE procedures, NDE methods. Prepare NDE requirements. Review NDE requirements", "createdAt" : "2026-06-14T18:50:38.514", "lastUpdated" : "2026-06-16T01:13:45.564", "ingestTimestamp" : "2026-06-14T18:50:38.514", "mongoId" : "69f2d9ba4c40e2acd18900b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "NDE methods", "NDE techniques", "NDE requirements", "NDE plans", "NDE procedures", "NDE reports", "NDE issues", "NDE work activity", "NDE Laboratory operations", "Nondestructive Evaluation", "Procedure development", "Personnel qualification", "Probability of detection", "Inspection procedure qualification", "Failure investigation", "Problem resolution", "Equipment acquisition", "Equipment retirement", "Fracture control", "Human space exploration", "Deep space exploration", "Aerospace materials", "Aerospace components", "Metallic materials", "Nonmetallic materials", "Composite materials", "Manufacturing processes", "Welding", "Additive manufacturing", "Composite fabrication", "Composite repair", "ASNT Level 3 certification", "MS Office" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3070f1f292fd229cff723a", "title" : "Monitoring, Evaluation and Learning (MEL) Intern", "company" : "SNV", "industry" : "Non-Profit Organization Management", "salary" : { "min" : 3600000.0, "max" : 6000000.0, "currency" : "TZS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level MEL Intern in Sumbawanga, Tanzania, adjusted for the non-profit industry and internship role." }, "location" : "Sumbawanga, Rukwa Region, TZ", "locations" : [ "Sumbawanga", "Rukwa Region", "TZ" ], "timestamp" : "2026-06-16T09:31:22.390", "fingerprint" : "cc4b5e85ace2adbcdf9b6211cad06539ce9a1464adeb2f43ce2f7bf28a70c6e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SNV/744000132146344-monitoring-evaluation-and-learning-mel-intern", "externalId" : "744000132146344", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sumbawanga", "state" : "Rukwa Region", "country" : "Tanzania", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-7.9523861,31.6231898" } ], "locationText" : "Sumbawanga, Rukwa Region, Tanzania", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "KoboToolbox, ODK, Xlsforms, Microsoft Excel, Power BI, GIS, R, SPSS, Stata", "professionalSkills" : [ "Data management", "Data analysis", "Reporting", "Documentation", "Filing" ], "hardSkillsList" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis" ], "softSkillsList" : [ "Confidentiality" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data quality assurance", "level" : "intermediate" }, { "name" : "Indicator tracking", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidentiality" } ], "majorSkills" : "Data collection, Data analysis, Reporting, Data management", "majorSkillsList" : [ "Data collection", "Data analysis", "Reporting", "Data management" ], "coreResponsibilities" : "Support development, deployment and management of digital data, Coordinate with field officers, enumerators, CSOs, and extension, Assist in reviewing submitted datasets for completeness, consistency,, Centralize datasets into reusable data products, Maintain organized digital and physical MEL records, Support routine data cleaning, validation and data quality, Participate in field monitoring visits and spot checks, Support verification of reported activities and indicator achievements, Compile routine indicator tracking data, Support tracking project targets against achievements, Support preparation of activity reports, quarterly district reports,, Assist in documenting outcome harvesting evidence, success stories,, Generate basic summaries, tables, charts, and trend analyses, Support reporting/data gap analyses, Support organization of learning events, review meetings, and, Follow up with partners on data submissions and, Support logistics for surveys, assessments, and monitoring activities", "teamCollaboration" : "Working with field teams; Working with Value Chain Coordinators; Working with implementing partners; Engaging project partners; Engaging field stakeholders", "domainKnowledge" : "Agriculture; Nutrition; Food security; Climate resilience; Development projects; Market systems development", "domainList" : [ "agriculture", "nutrition", "food-security", "climate-resilience", "development-projects", "market-systems-development" ], "domainSpecificKnowledge" : [ "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development" ], "toolProficiency" : [ "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "documentationSkills" : "Documentation; Filing; Outcome harvesting; Success stories; Lessons learned", "specialRequirements" : "Willingness to travel frequently, Ability to work under tight timelines", "outcomesObjectives" : "Ensure high-quality data is always available; Strengthen timely availability of quality data for project management; Support evidence based decision making; Support donor reporting", "qualificationsBasic" : "Bachelor’s Degree or Diploma, Up to 2 years of relevant experience, Experience using KoboToolbox, ODK, or similar, Proficiency with developing digital data collection tools using xlsforms, Proficiency in Microsoft Excel, Basic data analysis and reporting skills, Good documentation and filing skills", "qualificationsPreferred" : "Experience with agriculture, nutrition, or development projects, Experience with dashboard development and data visualization, Knowledge of agricultural, nutrition, or market systems development projects, Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software, Possession of a valid motorcycle license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SNV Netherlands Development Organisation http://www.snv.org/ is a Dutch-based international development organisation that provides market-based solutions for the poor through local institutions and organisations in 24 developing countries in Asia, Africa and Latin America. Working in Agriculture, Energy, and Water, Sanitation & Hygiene, we have built a long-term, local presence in Asia, Africa and Latin America. Our global team of local and international advisors works with local partners to equip communities, businesses and organisations with the tools, knowledge and connections they need to increase their incomes and gain access to basic services – empowering them to break the cycle of poverty and guide their own development. With over 50 years of working to support Tanzanian communities, we have a long track record of achieving scale and sustainability that makes a lasting difference in the lives of people in poverty. SNV in Tanzania’s diverse portfolio covers climate-smart agriculture, landscape conservation, renewable energy, and water, sanitation and hygiene. Empowering Smallholder Farmers for Food Security and Climate Resilience (NOURISH Tanzania) is a five-year project that aims to achieve resilient food security and improve nutrition for SHF households in key regions of Tanzania. The project focuses on two areas, both of which experience food insecurity and malnutrition, but which are distinctly different: the central-northern zone (Singida, Dodoma, Manyara) which suffer from acute food insecurity and Southern Highlands (Songwe, Rukwa) which faces chronic malnutrition. The project has reached its mid-term stage and has established a strong foundation for implementation by improving smallholder farmer households’ knowledge of climate-smart agriculture and nutrition practices, while also strengthening engagement with critical stakeholders. Moving forward, the project aims to deepen adoption by consolidating access to essential services, strengthening linkages, and addressing key systemic barriers that have been identified. Through this placement, the project seeks to strengthen its monitoring, evaluation and learning function through management collection data collection and analysis and learning while ensuring high-quality data is always available for project management and learning purposes. The MEL Intern will support implementation of project MEL activities including data collection, verification, cleaning, compilation, reporting, and coordination working closely with field teams, Value Chain Coordinators and implementing partners. The role is intended to strengthen timely availability of quality data for project management, learning, evidence based decision making and donor reporting. * Support development, deployment and management of digital data collection tools (e.g. Kobo Toolbox/ODK). * Coordinate with field officers, enumerators, CSOs, and extension staff during data collection exercises. * Assist in reviewing submitted datasets for completeness, consistency, and accuracy * Centralize datasets into reusable data products (database, Excel files) and maintain organized digital and physical MEL records. * Support routine data cleaning, validation and data quality assurance processes. * Participate in field monitoring visits and spot checks. * Support verification of reported activities and indicator achievements. * Compile routine indicator tracking data and support tracking project targets against achievements. * Support preparation of activity reports, quarterly district reports, and annual reports. * Assist in documenting outcome harvesting evidence, success stories, lessons learned, field observations and other MEL resources. * Generate basic summaries, tables, charts, and trend analyses as well as reporting/data gap analyses using Excel or related tools. * Support organization of learning events, review meetings, and reflection sessions. * Follow up with partners on data submissions and reporting timelines. * Support logistics for surveys, assessments, and monitoring activities. ## Qualifications * Bachelor’s Degree or Diploma in Monitoring & Evaluation, Statistics, Agricultural Economics, ICT, Data Science, Data Management, Computer Science or related field. * Up to 2 years of relevant experience in MEL, research, project data management, or related fields, including internships, volunteer assignments, research projects, or development program experience. * Experience using KoboToolbox, ODK, or similar digital data collection systems * Proficiency with developing digital data collection tools using xlsforms (ODK/Kobo Toolbox). * Experience working with agriculture, nutrition, or development projects * Proficiency in Microsoft Excel, including the use of formulas, Pivot Tables, and data validation tools. * Basic data analysis and reporting skills. * Good documentation and filing skills. * Experience with dashboard development and data visualization. * Knowledge of agricultural, nutrition, or market systems development projects. * Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software * Possession of a valid motorcycle license is an added advantage. Attributes: * High attention to detail. * Strong organizational skills. * Integrity and confidentiality in handling data. * Ability to work independently and within teams. * Willingness to travel frequently to field locations, * Ability to work under tight timelines. * Strong interpersonal and communication skills for engaging project partners and field stakeholders ## Additional Information ADDITIONAL INFORMATION Location: Sumbawanga (with frequent field travel) Duration: 1 year (possibility of renewal) Remuneration: Based strictly on SNV Tanzania internship rates. WORKING AT SNV SNV offers a challenging work environment, opportunities to lead and innovate, and a commitment to growing your skills in a fulfilling and diverse working environment. Our staff benefit from, and contribute to, an internal global network of Agri Food team. HOW TO APPLY The vacancy is for internal and external candidates and it will active up to 20th June 2026. All applications should be through Smart Recruiters on the following link .", "summaryDescription" : "Monitoring, Evaluation and Learning (MEL) Intern at SNV. Skills: Data collection, Data analysis, Reporting, Data management. Support development, deployment and management of digital data. Coordinate with field officers, enumerators, CSOs, and extension", "postedDate" : "2026-06-15T08:59:59.000", "createdAt" : "2026-06-16T01:31:18.695", "lastUpdated" : "2026-06-16T09:31:22.390", "ingestTimestamp" : "2026-06-16T01:31:18.695", "mongoId" : "6a3070f1f292fd229cff723a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis", "Confidentiality", "Data analysis", "Reporting", "Data management", "Documentation", "Filing", "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development", "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e574d8ee00a098bd4f", "title" : "Monitoring and Evaluation Specialist", "company" : "Dexis", "industry" : "Government", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Monitoring and Evaluation Specialist in Washington, D.C., adjusted for the healthcare industry and company size." }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-15T06:57:43.252", "fingerprint" : "ae68f223da997581d9788150c0ad44e2a8e14d32842dbabc04182bb4f8bd17ed", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://dexisonline.com/jobs/?gh_jid=4705619005", "externalId" : "4705619005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Program monitoring", "Evaluation research", "Performance management", "Data analysis", "Data visualization", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement" ], "hardSkillsList" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery" ], "softSkillsList" : [ "Trust", "Respect", "Fairness", "Inclusiveness" ], "hardSkills" : [ { "name" : "Evaluation research", "level" : "intermediate" }, { "name" : "Implementation research", "level" : "intermediate" }, { "name" : "Global health security", "level" : "intermediate" }, { "name" : "International public health", "level" : "intermediate" }, { "name" : "Federal agency support", "level" : "intermediate" }, { "name" : "Data collection systems", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Analytical tools", "level" : "intermediate" }, { "name" : "Technical reporting", "level" : "intermediate" }, { "name" : "Presentation delivery", "level" : "intermediate" }, { "name" : "Task management", "level" : "intermediate" }, { "name" : "Deadline management", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboard development", "level" : "intermediate" }, { "name" : "Stakeholder engagement", "level" : "intermediate" }, { "name" : "Technical assistance delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Trust" }, { "name" : "Respect" }, { "name" : "Fairness" }, { "name" : "Inclusiveness" } ], "majorSkills" : "Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance", "majorSkillsList" : [ "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance" ], "coreResponsibilities" : "Maintain data collection platforms, Enhance data collection platforms, Track program implementation, Support FETP monitoring, Collect program data, Validate program data, Manage program data, Support performance tracking, Develop data analysis products, Develop visualization products, Report implementation progress, Train stakeholders, Train country offices, Train implementing partners, Provide technical assistance, Support evaluation tool design, Support evaluation methodology refinement, Coordinate evaluation activities, Conduct data collection, Conduct data analysis, Conduct data synthesis, Support evaluation efforts, Prepare written reports, Prepare oral reports, Summarize evaluation findings, Summarize evaluation conclusions, Summarize evaluation recommendations, Support dissemination of products, Support archiving of products, Prepare project status reports, Align reports with work plans, Align reports with reporting requirements, Assist in presentation development, Assist in briefing development, Ensure compliance with reporting requirements, Ensure compliance with data collection standards, Support process improvement", "teamCollaboration" : "Country offices; Implementing partners; CDC staff; Global stakeholders", "projectManagementSkills" : [ "Work plans", "Reporting requirements" ], "domainKnowledge" : "Global health security; Public health initiatives; Field Epidemiology Training Program; International public health programs; Federal reporting requirements; Data collection standards", "domainList" : [ "global-health-security", "public-health-initiatives", "field-epidemiology-training-program", "international-public-health-programs", "federal-reporting-requirements", "data-collection-standards" ], "domainSpecificKnowledge" : [ "Global health security", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards" ], "toolProficiency" : [ "Data collection platforms", "Databases", "Analytical tools", "Data visualization tools", "Dashboard development tools" ], "communicationSkills" : "Technical reports; Presentations; Briefings", "documentationSkills" : "Technical reports", "problemSolvingSkills" : "Data analysis; Data synthesis", "specialRequirements" : "International travel", "outcomesObjectives" : "Assess program effectiveness; Assess program efficiency; Assess program impact; Support evidence-based decision-making", "qualificationsBasic" : "Master's degree in Public Health, 4+ years M&E experience, 2+ years global health experience, Federal agency experience, Data collection systems experience, Database management experience, Analytical skills, Writing skills, Communication skills, Manage multiple tasks, Meet reporting deadlines", "qualificationsPreferred" : "FETP experience, Workforce development experience, CDC experience, International technical assistance experience, Data visualization proficiency, Dashboard development proficiency, Train diverse audiences, Facilitate stakeholder engagement", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U. S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position The Monitoring and Evaluation (M&E) Specialist will provide technical support to the Office of Monitoring and Evaluation (OME), Division of Global Health Protection (DGHP), Global Health Center (GHC), in support of program monitoring and evaluation activities. The Specialist will contribute to strengthening global health security by supporting the monitoring, evaluation, and performance management of DGHP-supported programs, including the Field Epidemiology Training Program (FETP) and other public health initiatives. This position supports implementation monitoring, evaluation activities, and reporting to assess program effectiveness, efficiency, and impact, while contributing to evidence-based decision-making across the Division. The position may be performed at a government facility, remotely, or in a hybrid arrangement and may include international travel to support country-level technical assistance. This position is contingent upon award. Responsibilities Maintain and enhance data collection platforms and databases to track program implementation, including tools supporting FETP monitoring Collect, validate, and manage quarterly program data to support performance tracking Develop data analysis and visualization products to report on implementation progress Train stakeholders, including country offices and implementing partners, on monitoring tools and systems Provide technical assistance to DGHP-supported country programs, including international travel to support monitoring activities Support design, refinement, and implementation of evaluation tools and methodologies Coordinate evaluation activities across program stakeholders Conduct data collection, analysis, and synthesis to support evaluation efforts Prepare written and oral reports summarizing evaluation findings, conclusions, and recommendations Support dissemination and archiving of evaluation products Support preparation of project status reports aligned with program work plans and reporting requirements Assist in development of presentations, briefings, and other communication products for stakeholders Collaborate with CDC staff, implementing partners, and global stakeholders Ensure compliance with federal reporting requirements and data collection standards Support continuous improvement of monitoring, evaluation, and learning processes across DGHP Qualifications Master’s degree in Public Health, Epidemiology, Global Health, or a related field Minimum of 4 years of experience in public health program monitoring, evaluation, or implementation research At least 2 years of experience in global health security or related international public health programs Demonstrated experience supporting or working with federal agencies on similar monitoring and evaluation activities Experience with data collection systems, database management, and analytical tools Strong analytical, writing, and communication skills, including preparation of technical reports and presentations Ability to manage multiple tasks and meet reporting deadlines in a dynamic environment Preferred Qualifications Experience supporting Field Epidemiology Training Programs (FETP) or workforce development initiatives Experience working with CDC or similar public health agencies Experience delivering technical assistance in international settings Proficiency in data visualization, reporting tools, and dashboard development Experience training diverse audiences and facilitating stakeholder engagement Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law. As part of a competitive benefits package for eligible employees, Dexis provides healthcare insurance in addition to other staff welfare benefits and perks.", "summaryDescription" : "Monitoring and Evaluation Specialist at Dexis. Skills: Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance. Maintain data collection platforms. Enhance data collection platforms", "postedDate" : "2026-06-14T08:35:46.700", "createdAt" : "2026-06-14T08:35:46.700", "lastUpdated" : "2026-06-15T06:57:43.252", "ingestTimestamp" : "2026-06-14T08:35:46.700", "mongoId" : "6a2c94e574d8ee00a098bd4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery", "Trust", "Respect", "Fairness", "Inclusiveness", "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance", "Program monitoring", "Performance management", "Data analysis", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement", "Work plans", "Reporting requirements", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards", "Data collection platforms", "Databases", "Data visualization tools", "Dashboard development tools" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ace74d8ee00a090e143", "title" : "AI Evaluator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 30000.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Evaluator in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T06:11:40.548", "fingerprint" : "4d26774e467095534d1a577d3ca55a85f66747e1b7dfb57995af51e51443798b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266724009", "externalId" : "4266724009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, Large Language Models, Machine Learning", "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Prompt creation", "Text summarization", "Speech to text", "Translation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech to text", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, LLM development, Data labeling", "majorSkillsList" : [ "AI evaluation", "LLM development", "Data labeling" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate perceived quality or appropriateness of content, Generate labels to advance understanding, Create additional training data for machine learning models, Modify images, Generate new text, Alter audio/video signals, Review data and identify if product feature works, Label model outputs, Identify gaming content, Identify branded content, Order or rank items, Create prompts for language models, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert text or spoken language from one language, Gather and compile data for AI models", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "Bachelor's degree or higher in a humanities specialization, Professional or Expert level proficiency (C1/C2) in English", "qualificationsPreferred" : "Advanced degrees (Master's or PhD)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Evaluator at Innodata Inc.. Skills: AI evaluation, LLM development, Data labeling. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T18:37:56.522", "createdAt" : "2026-06-14T18:37:56.522", "lastUpdated" : "2026-06-16T06:11:40.548", "ingestTimestamp" : "2026-06-14T18:37:56.522", "mongoId" : "6a2c6ace74d8ee00a090e143", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 30000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Prompt creation", "Text summarization", "Speech to text", "Translation", "AI evaluation", "LLM development", "Generative AI", "Large Language Models" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a76", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T12:00:26.252", "fingerprint" : "5ddf319726441acc77de16c89115a59f5ad86ffa8ba13bb2d59297e9a4296d47", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/cd84ca7e-9ba5-42c1-ae8b-e4b38aeecb73/apply", "externalId" : "cd84ca7e-9ba5-42c1-ae8b-e4b38aeecb73", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Technical troubleshooting", "AI evaluation" ], "hardSkillsList" : [ "Linguistics", "QA", "Analytical skills", "Programming concepts", "Logical reasoning" ], "hardSkills" : [ { "name" : "Linguistics", "level" : "intermediate" }, { "name" : "QA", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Programming concepts", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "coreResponsibilities" : "Design role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio datasets, Follow evaluation guidelines, Produce evaluation outputs", "domainKnowledge" : "Customer support; Technical services; Conversational AI", "domainList" : [ "customer-support", "technical-services", "conversational-ai" ], "domainSpecificKnowledge" : [ "Customer support", "Technical services", "Conversational AI" ], "communicationSkills" : "Professional role-play simulations", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Remote freelance/contractor environment", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills in French, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation-related work, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Reliable access to high-quality microphone, Stable internet connection", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and execute complex role-play evaluation scenarios simulating real customer support interactions in domains such as travel, finance, and technical services. Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:57:12.933", "createdAt" : "2026-06-15T12:57:12.933", "lastUpdated" : "2026-06-16T12:00:26.252", "ingestTimestamp" : "2026-06-16T03:21:03.705", "mongoId" : "6a305118f292fd229cef9a76", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Linguistics", "QA", "Analytical skills", "Programming concepts", "Logical reasoning", "Technical troubleshooting", "AI evaluation", "Customer support", "Technical services", "Conversational AI" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a6f", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austria", "locations" : [ "Austria" ], "timestamp" : "2026-06-16T13:05:24.756", "fingerprint" : "70d0d6ce7aac6b9dd93488ba509e5b13c5287597a1bc7595c1d1d07e3a47d77b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/ad69e911-68e5-41f2-bda2-5089ef2a1011/apply", "externalId" : "ad69e911-68e5-41f2-bda2-5089ef2a1011", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Technical troubleshooting", "AI evaluation" ], "hardSkillsList" : [ "Conversational quality assessment", "Data accuracy assessment", "Logical reasoning" ], "hardSkills" : [ { "name" : "Conversational quality assessment", "level" : "intermediate" }, { "name" : "Data accuracy assessment", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "Audio evaluation, AI training", "majorSkillsList" : [ "Audio evaluation", "AI training" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to creation of audio datasets, Contribute to refinement of audio datasets, Follow structured evaluation guidelines, Produce accurate evaluation outputs, Produce well-documented evaluation outputs, Produce high-quality evaluation outputs", "domainKnowledge" : "Customer support; Technical services; JSON structures; Support workflows; Conversational AI", "domainList" : [ "customer-support", "technical-services", "json-structures", "support-workflows", "conversational-ai" ], "domainSpecificKnowledge" : [ "Customer support", "Technical services", "JSON structures", "Support workflows", "Conversational AI" ], "communicationSkills" : "Spoken French; Written French; Listening French; Reading French", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone, Stable internet connection", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation, Analytical skills, Assess conversational quality, Assess structured data accuracy, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Ability to work with structured evaluation guidelines, Communication skills, Ability to conduct realistic role-play simulations, Ability to conduct professional role-play simulations, Reliable access to high-quality microphone, Reliable access to stable internet connection, Comfortable working independently in remote freelance environment", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and execute complex role-play evaluation scenarios simulating real customer support interactions in domains such as travel, finance, and technical services. Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:56:37.671", "createdAt" : "2026-06-15T12:56:37.671", "lastUpdated" : "2026-06-16T11:46:19.731", "ingestTimestamp" : "2026-06-16T03:22:08.121", "mongoId" : "6a305118f292fd229cef9a5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Data integrity", "AI evaluation", "Audio evaluation", "French language", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "AI audio development", "Conversational AI systems" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a5f", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Israel", "locations" : [ "Israel" ], "timestamp" : "2026-06-16T12:44:19.239", "fingerprint" : "cc174930ca6e77cba83b8df80dd32f34d40e5127d6a1987a72278e24074de9cc", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/449d066c-b744-44b0-93a6-fb772fa9eab5/apply", "externalId" : "449d066c-b744-44b0-93a6-fb772fa9eab5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Data evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Dataset creation", "Dataset refinement", "Evaluation guideline adherence" ], "hardSkillsList" : [ "Qualitative metrics", "Quantitative metrics", "Structured data accuracy", "Logical reasoning" ], "hardSkills" : [ { "name" : "Qualitative metrics", "level" : "intermediate" }, { "name" : "Quantitative metrics", "level" : "intermediate" }, { "name" : "Structured data accuracy", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "Audio evaluation, AI training, French language", "majorSkillsList" : [ "Audio evaluation", "AI training", "French language" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio dataset creation, Contribute to audio dataset refinement, Follow evaluation guidelines, Produce evaluation outputs, Document evaluation outputs", "domainKnowledge" : "Customer support; Technical services; Travel industry; Finance industry; AI audio; Conversational models", "domainList" : [ "customer-support", "technical-services", "travel-industry", "finance-industry", "ai-audio", "conversational-models" ], "domainSpecificKnowledge" : [ "Customer support", "Technical services", "Travel industry", "Finance industry", "AI audio", "Conversational models" ], "communicationSkills" : "Spoken French; Written French; Listening French; Reading French", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone, Stable internet connection", "outcomesObjectives" : "High-quality evaluation outputs", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation, Analytical skills, Assess conversational quality, Assess structured data accuracy, Basic understanding of programming concepts, Understanding of JSON structures, Understanding of functions, Understanding of methods, Understanding of simple logic, High attention to detail, Ability to work with structured evaluation rubrics, Ability to work with structured evaluation guidelines, Communication skills, Conduct realistic role-play simulations, Conduct professional role-play simulations, Reliable access to high-quality microphone, Stable internet connection, Comfortable working independently, Comfortable working in remote freelance environment", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and execute complex role-play evaluation scenarios simulating real customer support interactions in domains such as travel, finance, and technical services. Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, French language. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language proficiency. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, Role-play simulation. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:53:50.797", "createdAt" : "2026-06-15T12:53:50.797", "lastUpdated" : "2026-06-16T12:30:49.912", "ingestTimestamp" : "2026-06-16T03:21:20.387", "mongoId" : "6a305118f292fd229cef9a6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics", "Quantitative metrics", "Structured data accuracy", "AI evaluation", "Audio evaluation", "French language", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Dataset creation", "Data integrity", "Customer support", "Technical troubleshooting", "Linguistics", "JSON structures", "Functions", "Methods", "Support workflows", "Conversational AI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a65", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Portugal", "locations" : [ "Portugal" ], "timestamp" : "2026-06-16T12:56:35.286", "fingerprint" : "6583def78f478bd6cd31a4abb56668626f6df97aa6cc77f0858babc9f05313e4", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/7542eec4-c524-488d-9445-513abd017068/apply", "externalId" : "7542eec4-c524-488d-9445-513abd017068", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Data dataset creation", "Data dataset refinement", "Evaluation guideline adherence", "Independent work", "Documentation" ], "hardSkillsList" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Logical reasoning" ], "hardSkills" : [ { "name" : "Qualitative metrics evaluation", "level" : "intermediate" }, { "name" : "Quantitative metrics evaluation", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, Audio evaluation, French language, Customer support simulation", "majorSkillsList" : [ "AI evaluation", "Audio evaluation", "French language", "Customer support simulation" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio dataset creation, Contribute to audio dataset refinement, Follow structured evaluation guidelines, Produce accurate evaluation outputs, Produce well-documented evaluation outputs, Produce high-quality evaluation outputs", "domainKnowledge" : "Customer support interactions; 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language, Customer support simulation. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language proficiency. Design role-play evaluation scenarios. Execute role-play evaluation scenarios", "postedDate" : "2026-06-15T12:53:12.031", "createdAt" : "2026-06-15T12:53:12.031", "lastUpdated" : "2026-06-16T12:41:20.486", "ingestTimestamp" : "2026-06-16T03:21:40.629", "mongoId" : "6a305118f292fd229cef9a72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics evaluation", "Quantitative metrics evaluation", "Conversational performance auditing", "Audio dataset creation", "Audio dataset refinement", "Evaluation guideline adherence", "AI evaluation", "Audio evaluation", "French language proficiency", "Role-play evaluation", "Conversational quality assessment", "Technical reasoning assessment", "Customer support interactions", "Travel domain", "Finance domain", "Technical services domain", "JSON structures", "Support workflows" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a7b", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ireland", "locations" : [ "Ireland" ], "timestamp" : "2026-06-16T12:27:33.792", "fingerprint" : "933364bf26cb6fe6d108e6186e3fc507577d4f11244e112974ca506e890176fd", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/fb80b2bf-7c6d-464b-ac59-6eff70bb640c/apply", "externalId" : "fb80b2bf-7c6d-464b-ac59-6eff70bb640c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Data evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Dataset creation", "Dataset refinement", "Evaluation guideline adherence", "Independent work" ], "hardSkillsList" : [ "Audio evaluation", "Qualitative metrics", "Quantitative metrics", "Structured data accuracy", "Programming concepts", "Logical reasoning" ], "hardSkills" : [ { "name" : "Audio evaluation", "level" : "intermediate" }, { "name" : "Qualitative metrics", "level" : "intermediate" }, { "name" : "Quantitative metrics", "level" : "intermediate" }, { "name" : "Structured data accuracy", "level" : "intermediate" }, { "name" : "Programming concepts", "level" : "intermediate" }, { "name" : "Logical reasoning", "level" : "intermediate" } ], "majorSkills" : "Audio evaluation, AI training, French language", "majorSkillsList" : [ "Audio evaluation", "AI training", "French language" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to dataset creation, Contribute to dataset refinement, Follow evaluation guidelines, Produce evaluation outputs, Document evaluation outputs", "domainKnowledge" : "Customer support interactions; 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, French language. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, Linguistics. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, French language. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets, Conversational AI. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, French language, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio datasets. Design role-play evaluation scenarios. 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Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language proficiency. Design role-play evaluation scenarios. 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Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, French language proficiency, Customer support experience. Design role-play evaluation scenarios. 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Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: Audio evaluation, AI training, Role-play simulation. Design role-play evaluation scenarios. Evaluate AI-generated audio outputs", "postedDate" : "2026-06-15T12:50:23.857", "createdAt" : "2026-06-15T12:50:23.857", "lastUpdated" : "2026-06-16T12:19:27.817", "ingestTimestamp" : "2026-06-16T03:24:59.091", "mongoId" : "6a305118f292fd229cef9a77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Linguistics", "Data integrity", "Conversational quality assessment", "Structured data accuracy", "Audio evaluation", "AI training", "Role-play simulation", "Technical troubleshooting", "AI evaluation", "Customer support interactions", "Technical services", "AI audio", "Conversational AI" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9a6d", "title" : "French Audio Evaluations Specialist - Freelance AI Trainer Project", "industry" : "Others", "salary" : { "min" : 6.0, "max" : 65.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T10:53:17.976", "fingerprint" : "69a864f69a23d275dc76988277bacdc999b396ded17c2ff6d99fa3c31f740baf", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9abcd230-e7b2-416b-9d6d-13677c92a70b/apply", "externalId" : "9abcd230-e7b2-416b-9d6d-13677c92a70b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "CONTRACT", "technicalSkills" : "JSON", "professionalSkills" : [ "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment" ], "hardSkillsList" : [ "Qualitative metrics", "Quantitative metrics", "Data integrity" ], "hardSkills" : [ { "name" : "Qualitative metrics", "level" : "intermediate" }, { "name" : "Quantitative metrics", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" } ], "majorSkills" : "AI evaluation, Audio evaluation, French language", "majorSkillsList" : [ "AI evaluation", "Audio evaluation", "French language" ], "coreResponsibilities" : "Design role-play evaluation scenarios, Execute role-play evaluation scenarios, Evaluate AI-generated audio outputs, Audit conversational performance, Assess technical reasoning in AI outputs, Contribute to audio dataset creation, Refine audio dataset creation, Follow structured evaluation guidelines, Produce accurate evaluation outputs, Produce well-documented evaluation outputs, Produce high-quality evaluation outputs", "domainKnowledge" : "Customer support interactions; Technical support workflows; Conversational AI", "domainList" : [ "customer-support-interactions", "technical-support-workflows", "conversational-ai" ], "domainSpecificKnowledge" : [ "Customer support interactions", "Technical support workflows", "Conversational AI" ], "communicationSkills" : "Written communication; Spoken communication; Listening skills; Reading skills", "documentationSkills" : "Well-documented outputs", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "High-quality microphone required, Stable internet connection required", "qualificationsBasic" : "Native or bilingual proficiency in French, Excellent spoken, written, listening, and reading skills, Proven experience in customer support, Proven experience in technical troubleshooting, Proven experience in linguistics, Proven experience in QA, Proven experience in AI evaluation, Analytical skills, Basic understanding of programming concepts, High attention to detail, Ability to work with structured evaluation rubrics, Ability to work with structured guidelines, Communication skills, Reliable access to high-quality microphone, Stable internet connection, Comfortable working independently", "qualificationsPreferred" : "Experience in travel domain, Experience in finance domain, Experience in technical services domain, Experience assessing technical reasoning, Experience with JSON structures, Experience with functions, Experience with methods, Experience with simple logic", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Design and execute complex role-play evaluation scenarios simulating real customer support interactions in domains such as travel, finance, and technical services. Evaluate AI-generated audio outputs using structured qualitative and quantitative metrics, focusing on accuracy, fluency, and task completion. Audit conversational performance, including naturalness, clarity, and comprehension of spoken interactions. Assess basic technical reasoning in AI outputs, including understanding of JSON structures, functions, methods, and simple logic within support workflows. Contribute to the creation and refinement of high-quality, representative audio datasets aligned with real-world user expectations. Follow structured evaluation guidelines to ensure consistency, reliability, and data integrity across tasks. Work independently to produce accurate, well-documented, and high-quality evaluation outputs. Requirements: Native or bilingual proficiency in French, with excellent spoken, written, listening, and reading skills. Proven experience in customer support, technical troubleshooting, linguistics, QA, or AI evaluation-related work. Strong analytical skills with the ability to assess conversational quality and structured data accuracy. Basic understanding of programming concepts such as JSON structures, functions, methods, and logical reasoning. High attention to detail and ability to work with structured evaluation rubrics and guidelines. Strong communication skills and ability to conduct realistic, professional role-play simulations. Reliable access to a high-quality microphone and stable internet connection. Comfortable working independently in a remote freelance/contractor environment. Benefits: Competitive hourly compensation ranging from $6 to $65, depending on experience and expertise. Fully remote freelance engagement with flexible working arrangements. Opportunity to contribute to cutting-edge AI audio and conversational model development. Exposure to advanced AI evaluation methodologies and datasets. Independent contractor arrangement with autonomy over working schedule. Work on impactful projects shaping real-world conversational AI systems. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project. Skills: AI evaluation, Audio evaluation, French language. Design role-play evaluation scenarios. Execute role-play evaluation scenarios", "postedDate" : "2026-06-15T12:39:04.773", "createdAt" : "2026-06-15T12:39:04.773", "lastUpdated" : "2026-06-16T10:53:17.976", "ingestTimestamp" : "2026-06-16T03:22:45.528", "mongoId" : "6a305118f292fd229cef9a6d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12480, "salaryAnnualMax" : 135200, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Qualitative metrics", "Quantitative metrics", "Data integrity", "AI evaluation", "Audio evaluation", "French language", "Role-play evaluation", "Conversational performance assessment", "Technical reasoning assessment", "Customer support interactions", "Technical support workflows", "Conversational AI" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7b3074d8ee00a0948bb3", "title" : "RAG and Evaluation Engineer", "company" : "LTS", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior RAG and Evaluation Engineer in the United States, adjusted for the technology industry and remote work." }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T06:35:36.771", "fingerprint" : "c8ac4f60b75f957ac89ea39c07d64f795375dcccacb1a7fcf649282f9414c411", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lts/jobs/4284737009", "externalId" : "4284737009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "technicalSkills" : "TypeScript, Python, RAG, BM25, Embeddings", "professionalSkills" : [ "Benchmarking", "Regression detection" ], "hardSkillsList" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation" ], "hardSkills" : [ { "name" : "Chunking", "level" : "intermediate" }, { "name" : "Hybrid retrieval", "level" : "intermediate" }, { "name" : "Reranking", "level" : "intermediate" }, { "name" : "LLM-as-judge patterns", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" } ], "majorSkills" : "RAG, Evaluation, Retrieval pipelines", "majorSkillsList" : [ "RAG", "Evaluation", "Retrieval pipelines" ], "coreResponsibilities" : "Define metrics, Use AI tooling", "teamCollaboration" : "Fast-paced environment; Collaborative environment", "domainKnowledge" : "Healthcare IT; Legacy modernization", "domainList" : [ "healthcare-it", "legacy-modernization" ], "domainSpecificKnowledge" : [ "Healthcare IT", "Legacy modernization" ], "toolProficiency" : [ "AI tooling", "Agents" ], "innovationCreativity" : "Innovation", "qualificationsBasic" : "Production RAG system, Production retrieval pipelines, Applied evaluation skills, Production experience, Demonstrated experience in remote work", "qualificationsPreferred" : "Code-as-corpus retrieval, Applied IR background, Open-source contributions, Experience integrating feedback loops, Healthcare IT experience, Legacy modernization experience, Public technical writing, Conference talks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LTS is seeking a RAG equivalent experience may substitute for the degree requirement. Has shipped a production RAG system with quality the candidate can describe in numbers (rigor matters more than scale). Ability to work in a fast-paced, collaborative environment. Production experience with retrieval pipelines — ingestion, chunking, embedding, hybrid retrieval, reranking. Strong applied evaluation skills — benchmark design, regression detection, LLM-as-judge patterns. Knows when BM25 beats embeddings and when neither is enough. Measures everything they ship; opinions about chunking are backed by benchmarks. Patient with detail; comfortable defining metrics before the team has agreed on them. Heavy native use of AI tooling: agents in parallel, model as collaborator. Strong TypeScript or Python. Demonstrated experience in a remote work environment. Nice to Have: Code-as-corpus retrieval (search over source code rather than prose). Applied IR or search-engine background. Synthetic data generation and LLM-as-judge patterns. Open-source contributions to retrieval, eval, or RAG tooling. Experience integrating retrieval feedback loops with production usage. Healthcare IT or legacy modernization domain experience. Public technical writing or conference talks on retrieval or evaluation. What’s in it for you? The opportunity to support high visibility federal missions in IT and healthcare A culture that values innovation, growth, collaboration, and quality Access to cutting-edge tools and technologies Comprehensive benefits for you and your family A career path that rewards ambition and performance If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together! LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements. LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.", "summaryDescription" : "RAG and Evaluation Engineer at LTS. Skills: RAG, Evaluation, Retrieval pipelines. Define metrics. Use AI tooling", "postedDate" : "2026-06-13T20:58:18.293", "createdAt" : "2026-06-13T20:58:18.293", "lastUpdated" : "2026-06-15T06:35:36.771", "ingestTimestamp" : "2026-06-13T20:58:18.293", "mongoId" : "6a2c7b3074d8ee00a0948bb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation", "RAG", "Evaluation", "Retrieval pipelines", "Benchmarking", "Regression detection", "Healthcare IT", "Legacy modernization", "AI tooling", "Agents" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16471858b93c861e9e5b24", "title" : "Clinical Nurse III - Evaluation Treatment Center", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 88000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Nurse III in Duarte, California, adjusted for the healthcare industry and a large company size." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Nursing", "Onsite, Nights, Nights" ], "certifications" : [ "RN License", "BLS Certification" ], "timestamp" : "2026-06-16T03:44:27.389", "fingerprint" : "b1ab1b48169651f0efddeb9116ac16e51316158ef131ea2c6f4af50d56079db2", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=242230", "externalId" : "242230", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's Degree", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "coreResponsibilities" : "Provide direct patient care, Perform patient evaluations, Administer treatments, Educate patients and families, Collaborate with healthcare team, Maintain patient records, Adhere to safety protocols, Participate in quality improvement", "teamCollaboration" : "Healthcare team", "domainKnowledge" : "Patient care; Evaluation and treatment", "domainList" : [ "patient-care", "evaluation-and-treatment" ], "domainSpecificKnowledge" : [ "Patient care", "Evaluation and treatment" ], "communicationSkills" : "Patient education", "documentationSkills" : "Patient records", "qualificationsBasic" : "3-5 years experience, Bachelor's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. Urgent Cancer Care, When You Need It Most – 24/7 at City of Hope At City of Hope’s Evaluation and Treatment Center (ETC) , we understand that cancer doesn't wait—the ETC is open 24 hours a day, 365 days a year , providing specialized urgent care for cancer-related emergencies and unexpected complications. As the only cancer-specific urgent care center on the West Coast , the ETC combines over a decade of experience with cutting-edge technology, offering a team of experts dedicated to compassionate, comprehensive care. Whether you're experiencing side effects from chemotherapy, complications from immunotherapy or transplant, or other hematologic or oncologic emergencies, our highly trained clinicians are here to deliver personalized, coordinated support —any time, day or night. As a successful candidate, you will: Integrates and practices according to the City of Hope Professional Practice Model to deliver care service excellence. In alignment with City of Hope mission and values, the Division of Nursing and Patient Care Services vision and mission, and with continuous focus on the patient, family and community, carries out the nursing process, coordinates interdisciplinary care planning, documents according to standards, including validation of the patient and caregiver’s understanding of the plan of care and expected outcomes. The nurse is a change agent, committed to lifelong learning, professional development and embodiment of City of Hope organizational mission and values, and the values and ethos of the profession of nursing. Hours: 7:00pm - 7:30am Full time 12 hour shift / 3 days a week Your qualifications should include: 3-5 years experience in an acute care setting and/or outpatient setting Bachelor’s Degree in Nursing Emergency Department experience a plus Licensures: CA RN License BLS through American Heart Association ACLS through American Heart Association PALS through American Heart Association City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Clinical Nurse III - Evaluation Treatment Center at City of Hope. Provide direct patient care. Perform patient evaluations", "createdAt" : "2026-06-14T20:44:07.401", "lastUpdated" : "2026-06-16T03:44:27.389", "ingestTimestamp" : "2026-06-14T20:44:07.401", "mongoId" : "6a16471858b93c861e9e5b24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 88000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Patient care", "Evaluation and treatment", "RN License", "BLS Certification" ], "skillCount" : 4, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6bc174d8ee00a09146c3", "title" : "Strategic Monitoring, Evaluation & Learning (MEL) Lead", "company" : "Educate!", "industry" : "Education", "salary" : { "min" : 7.5E7, "max" : 1.1E8, "currency" : "TZS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead MEL role in Tanzania, adjusted for the education industry and non-profit sector." }, "location" : "Tanzania", "locations" : [ "Tanzania" ], "timestamp" : "2026-06-15T21:22:23.920", "fingerprint" : "abb4c743a568d979266d28f84a26b518be638e07601f25f9b8c1566db93d2394", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/educate/jobs/7992437", "externalId" : "7992437", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Tanzania", "continent" : "af", "workMode" : "hybrid" }, { "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Tanzania", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "majorSkills" : "Monitoring, Evaluation, Learning", "majorSkillsList" : [ "Monitoring", "Evaluation", "Learning" ], "coreResponsibilities" : "Introduce employment-focused school subject, Deliver livelihood boot camps, Design scalable youth employment solutions, Build highly scalable youth employment solutions, Leverage iterative learning, Measure impact of programs, Develop MEL strategy, Oversee MEL activities, Ensure data quality, Generate insights from data, Communicate findings to stakeholders, Support program design, Inform program adaptation, Contribute to organizational learning, Manage MEL team", "teamCollaboration" : "Global Director of Research; Measurement & Evaluation", "domainKnowledge" : "Youth employment; Skills development; Livelihood programs; Monitoring and evaluation frameworks", "domainList" : [ "youth-employment", "skills-development", "livelihood-programs", "monitoring-and-evaluation-frameworks" ], "domainSpecificKnowledge" : [ "Youth employment", "Skills development", "Livelihood programs", "Monitoring and evaluation frameworks" ], "continuousLearning" : "Learning & growth opportunities", "specialRequirements" : "Periodic travel to Tanzania, Provide Certificate of Good Conduct", "outcomesObjectives" : "Measurably impact millions of youth", "qualificationsBasic" : "Fixed term contract", "qualificationsPreferred" : "Tanzania-based candidates strongly preferred, Candidates based elsewhere in East Africa will be considered", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are! \uD83C\uDF0D Africa has the world’s youngest and fastest-growing population. By 2035, the continent is poised to contribute more young people to the global workforce each year than the rest of the world combined. At Educate! we're obsessed with impact. We leverage iterative learning to build highly scalable youth employment solutions aimed at unlocking the potential of the world’s youngest continent. Educate! prepares youth in Africa to learn, earn and thrive in today’s economy by: Introducing an employment-focused school subject into secondary and Delivering livelihood boot camps for out-of-school youth, with a focus on marginalized rural girls and young women. To date, more than 500,000 youth have been meaningfully impacted across Uganda, Rwanda, Kenya, and Tanzania, and along the way, Educate! has become the largest youth employment and skills provider in East Africa. Educate! is a team of over 300 largely African staff and 300 volunteer youth mentors. We prioritize building an engaging, fulfilling and growth oriented work environment. 50% of our top 30 leaders have been with us for over 5 years, 10+ alumni have started their own organizations, and 6 current or former team members were Acumen Fund East Africa fellows. We have been backed by top foundations such as Imaginable Futures, Livelihood Impact Fund, Jack Dorsey’s #startsmall, CIFF and Echidna Giving. Educate! won a 2018 Klaus J. Jacobs Prize and a 2015 WISE Award, and has been highlighted by the World Bank’s S4YE's Impact Portfolio, an Al Jazeera documentary, BBC, The Brookings Institution as one of 14 case studies on scaling education, and the Gates Foundation as a Goalkeepers Accelerator. In 2022, we received a catalytic investment from philanthropist Mackenzie Scott to scale our systems change work. Educate!'s long-term vision is to design solutions that measurably impact millions of youth across Africa each year. Good to note: To Our Awesome Applicants! \uD83D\uDE80\uD83D\uDCAB We know that incredible candidates sometimes hesitate to apply if they don’t meet every requirement. If this role excites you, we encourage you to apply! We’re looking for passionate individuals who believe in our mission and can bring unique perspectives to our team—not just those who check every box. We value diversity and strongly encourage women and individuals from all backgrounds to apply. Position Overview Educate!, an award-winning non-profit social enterprise, is seeking a Strategic Monitoring, Evaluation Learn more by looking at Educate!’s culture deck here What We Offer A vibrant, mission-driven environment with a supportive and fun team. Flexibility— Hybrid work environment with at least 3 days in our awesome Tanzania office (If working from the Tanzania office)! Competitive salary based on experience. Healthcare coverage for you and your dependents, work laptop, Internet & call stipend Learning & growth opportunities Terms Location: Tanzania-based candidates are strongly preferred. Candidates based elsewhere in East Africa will be considered. Periodic travel to Tanzania will be required. Reports to: Global Director of Research, Measurement & Evaluation, Educate! This is a Fixed term contract with a possibility of extension based on performance Application Process: Rolling basis, interviews happening soon! Our Culture & Tenets(Values) \uD83C\uDF31 We’re ambitious. Are you? Educate! is growing fast, so new opportunities are opening up and expanding all the time. We’re inspired by people with drive, and we love to help them reach their full potential. We expect everyone at Educate! to contribute above and beyond their job description, grow their skills, and advance their careers, and we are committed to supporting our staff members on that journey of their careers, and we are committed to supporting our staff members on that journey. We put Youth First, Impact-Obsessed - We are purpose-driven, focused on impact, and prioritize what truly matters. We listen to youth, design our efforts around their needs, and ensure every dollar creates transformative experiences they value. We Exceed Expectations - We take pride in going above and beyond to achieve the best results—proactively identifying problems and seeking solutions without waiting or stopping at what's requested. We Are Always Learning - We are committed to seeking and applying new knowledge and ideas. We stay open-minded and continuously try new things, experiment, grow, and improve. We invest in learning for ourselves and our teams. We are One Team, Many Views - We value all individuals, believe diverse ideas and open dialogue drive excellence, foster a supportive and respectful environment where everyone can freely express themselves. We work as one team and prioritize the organization's mission over personal or team interests. We have the Startup Mindset - We innovate relentlessly to grow our impact, we never think “we have arrived” or “we’re done.”We constantly challenge the status quo, embrace change, and move quickly toward our vision. Unafraid of failure, we question anything that hinders progress. Every person at Educate! — from interns to the executive director — is evaluated by how they live up to these five cultural tenets. They are at the core of how we achieve our mission and why we work as well as we do. Educate is committed to providing an inclusive and welcoming environment for all who interact in our community. In creating this environment, we encourage people from a variety of cultures, backgrounds and life experiences to join our diverse team. We’re committed to ensuring all candidates are screened for child and youth safety. As part of the process, you’ll need to provide a Certificate of Good Conduct. Educate! reserves the right to withdraw employment offers if any risks to youth are identified.", "summaryDescription" : "Strategic Monitoring, Evaluation & Learning (MEL) Lead at Educate!. Skills: Monitoring, Evaluation, Learning. Introduce employment-focused school subject. Deliver livelihood boot camps", "postedDate" : "2026-06-14T18:39:20.173", "createdAt" : "2026-06-14T18:39:20.173", "lastUpdated" : "2026-06-15T21:22:23.920", "ingestTimestamp" : "2026-06-14T18:39:20.173", "mongoId" : "6a2c6bc174d8ee00a09146c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Monitoring", "Evaluation", "Learning", "Youth employment", "Skills development", "Livelihood programs", "Monitoring and evaluation frameworks" ], "skillCount" : 7, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c91a774d8ee00a09838c7", "title" : "Italian Audio Evaluations Specialist - Freelance AI Trainer Project", "company" : "Meridial", "industry" : "Technology", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the entry-level seniority, freelance contract, and technology industry market data for a worldwide remote position, adjusted for the Indian Rupee baseline." }, "location" : "Worldwide - Remote", "locations" : [ "Worldwide - Remote" ], "timestamp" : "2026-06-16T07:01:14.744", "fingerprint" : "0bd8319f283f4755af6e7d45c2fed44489a78a4e650a2d1eb348c44ba8fd7389", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/agency/jobs/4896015101", "externalId" : "4896015101", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "coreResponsibilities" : "Evaluate AI models, Audit conversational AI outputs, Generate datasets, Optimize model performance", "domainKnowledge" : "Agentic audio models; Customer support scenarios; Flight bookings; Financial services; Telecommunications", "domainList" : [ "agentic-audio-models", "customer-support-scenarios", "flight-bookings", "financial-services", "telecommunications" ], "domainSpecificKnowledge" : [ "Agentic audio models", "Customer support scenarios", "Flight bookings", "Financial services", "Telecommunications" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Project Overview We are sourcing independent Audio Evaluation Specialists for an AI benchmark evaluation project assessing advanced agentic audio models. As AI models increasingly handle complex workflows in this domain—specifically real-world customer support scenarios like flight bookings, financial services, and telecommunications—their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks through simulated interactions, audit conversational AI outputs, and generate clean, reliable datasets to optimize model performance. Project Deliverables company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote", "summaryDescription" : "Italian Audio Evaluations Specialist - Freelance AI Trainer Project at Meridial. Evaluate AI models. 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The Evaluation Provider conducts comprehensive psychological evaluations for youth up to age 18, serving as a specialist resource across the region. If you are as passionate about evidence-based mental health care for kids, teens, and families as we are, we’re looking for you. Why This Role Brightline is expanding its evaluation capacity to meet growing demand across our NY clinics. In this role, you will serve as a dedicated specialist — conducting in-depth diagnostic evaluations that directly shape treatment planning and family outcomes. You’ll collaborate with multidisciplinary teams and help set the clinical standard for evaluation excellence at Brightline. This is a rare opportunity to do high-impact clinical work within an innovative, fast-growing practice that is transforming pediatric mental health care. Responsibilities Diagnostic Evaluation - Conduct in-depth diagnostic evaluations, including clinical interviews, multi-informant data review, and differential diagnosis, to clarify presenting concerns and inform evidence-based care for youth up to age 18 (ongoing care provided by other team members) - Provide clear, evidence-based recommendations for ongoing care in alignment with patient need and Brightline’s program offerings - Integrate screening and rating measures into comprehensive diagnostic formulations - Deliver family feedback sessions with actionable, accessible clinical guidance Collaboration & Development - Collaborate with multidisciplinary teams, engage in peer consultation, and participate in continuous professional development - Contribute to the development and refinement of Brightline’s evaluation and testing service line - Participate in community engagement and outreach opportunities REQUIREMENTS: - Master’s degree in Psychology or other related field - Active, unrestricted license to practice at the masters level in the State of New York - Extensive experience conducting diagnostic evaluations across a variety of presenting concerns for youth and families - Advanced training in semi-structured diagnostic interviews with ability to adapt to varied clinical contexts - Strong working knowledge of evidence-based interventions for common pediatric concerns, enabling clear and actionable diagnostic recommendations - Strong knowledge of current clinical research and commitment to staying updated on the latest empirical advancements - Clear understanding of and deep commitment to ethical standards of care - Experience providing care both in-person and virtually (some evaluations and feedback sessions may be conducted virtually depending on clinical appropriateness and family preference) - Interest and experience thriving in a start-up environment - Bilingual candidates are strongly preferred, particularly Spanish-speaking - Ability to maintain up to 30 hours per week for evaluations + feedback WE OFFER SEVERAL BENEFITS, PERKS, AND STIPENDS: - Medical, Dental, Vision, Long-Term Disability, Life Insurance, Flexible Spending Account, and 401k - 12 Company Holidays + Floating Holidays, Holiday Shutdown, Flexible Time Off, Parental Leave - Health and Wellness Stipend, Home Office Reimbursement and Professional Development Reimbursement - Stock Options At Brightline we have built a total rewards philosophy that includes fair, equitable, competitive, geo-based compensation that is performance and potential based. Our strategy is based on robust market research, including external advisory specializing in national compensation, and thoughtful input from every level of our organization. It is a combination of a cash salary, equity, benefits, wellbeing, and opportunity. In compliance with the Equal Pay for Equal Work Act, the annual base salary range for applicants is $80,000- $105,000. OUR COMMITMENT TO BUILDING A DIVERSE, EQUITABLE, AND INCLUSIVE WORKFORCE At Brightline, we believe that Diversity, Equity, Inclusion, and Belonging are essential to the foundation upon which our mission is built. We are committed to: - building a future where all families can access inclusive, high-quality care - creating an environment that encourages our employees to show up authentically, reach their highest potential, and have an equal opportunity to thrive - systematically evaluating and improving our inherent beliefs, observed behaviors, structures, and systems - ensuring that every employee, candidate, client, and family we serve is valued and respected ABOUT BRIGHTLINE Brightline is a therapy and psychiatry practice that delivers expert pediatric, teen, and parental mental health care to families and kids up to age 18. Brightline’s virtual and in-person outpatient services include diagnostic evaluation, therapy, psychiatry services (e.g. medication management), and psychological testing (to assess learning differences, school readiness, executive functioning difficulties [e.g. ADHD], and autism). 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Responsibilities Diagnostic Evaluation - Conduct in-depth diagnostic evaluations, including clinical interviews, multi-informant data review, and differential diagnosis, to clarify presenting concerns and inform evidence-based care for youth up to age 18 (ongoing care provided by other team members) - Provide clear, evidence-based recommendations for ongoing care in alignment with patient need and Brightline’s program offerings - Integrate screening and rating measures into comprehensive diagnostic formulations - Deliver family feedback sessions with actionable, accessible clinical guidance Collaboration & Development - Collaborate with multidisciplinary teams, engage in peer consultation, and participate in continuous professional development - Contribute to the development and refinement of Brightline’s evaluation and testing service line - Participate in community engagement and outreach opportunities REQUIREMENTS: - Master’s degree in Psychology or other related field - Active, unrestricted license to practice at the masters level in the State of New York - Extensive experience conducting diagnostic evaluations across a variety of presenting concerns for youth and families - Advanced training in semi-structured diagnostic interviews with ability to adapt to varied clinical contexts - Strong working knowledge of evidence-based interventions for common pediatric concerns, enabling clear and actionable diagnostic recommendations - Strong knowledge of current clinical research and commitment to staying updated on the latest empirical advancements - Clear understanding of and deep commitment to ethical standards of care - Experience providing care both in-person and virtually (some evaluations and feedback sessions may be conducted virtually depending on clinical appropriateness and family preference) - Interest and experience thriving in a start-up environment - Bilingual candidates are strongly preferred, particularly Spanish-speaking - Ability to maintain up to 30 hours per week for evaluations + feedback WE OFFER SEVERAL BENEFITS, PERKS, AND STIPENDS: - Medical, Dental, Vision, Long-Term Disability, Life Insurance, Flexible Spending Account, and 401k - 12 Company Holidays + Floating Holidays, Holiday Shutdown, Flexible Time Off, Parental Leave - Health and Wellness Stipend, Home Office Reimbursement and Professional Development Reimbursement - Stock Options At Brightline we have built a total rewards philosophy that includes fair, equitable, competitive, geo-based compensation that is performance and potential based. Our strategy is based on robust market research, including external advisory specializing in national compensation, and thoughtful input from every level of our organization. It is a combination of a cash salary, equity, benefits, wellbeing, and opportunity. In compliance with the Equal Pay for Equal Work Act, the annual base salary range for applicants is $80,000- $105,000. OUR COMMITMENT TO BUILDING A DIVERSE, EQUITABLE, AND INCLUSIVE WORKFORCE At Brightline, we believe that Diversity, Equity, Inclusion, and Belonging are essential to the foundation upon which our mission is built. We are committed to: - building a future where all families can access inclusive, high-quality care - creating an environment that encourages our employees to show up authentically, reach their highest potential, and have an equal opportunity to thrive - systematically evaluating and improving our inherent beliefs, observed behaviors, structures, and systems - ensuring that every employee, candidate, client, and family we serve is valued and respected ABOUT BRIGHTLINE Brightline is a therapy and psychiatry practice that delivers expert pediatric, teen, and parental mental health care to families and kids up to age 18. Brightline’s virtual and in-person outpatient services include diagnostic evaluation, therapy, psychiatry services (e.g. medication management), and psychological testing (to assess learning differences, school readiness, executive functioning difficulties [e.g. ADHD], and autism). 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Responsibilities Diagnostic Evaluation - Conduct in-depth diagnostic evaluations, including clinical interviews, multi-informant data review, and differential diagnosis, to clarify presenting concerns and inform evidence-based care for youth up to age 18 (ongoing care provided by other team members) - Provide clear, evidence-based recommendations for ongoing care in alignment with patient need and Brightline’s program offerings - Integrate screening and rating measures into comprehensive diagnostic formulations - Deliver family feedback sessions with actionable, accessible clinical guidance Collaboration & Development - Collaborate with multidisciplinary teams, engage in peer consultation, and participate in continuous professional development - Contribute to the development and refinement of Brightline’s evaluation and testing service line - Participate in community engagement and outreach opportunities REQUIREMENTS: - Master’s degree in Psychology or other related field - Active, unrestricted license to practice at the masters level in the State of New York - Extensive experience conducting diagnostic evaluations across a variety of presenting concerns for youth and families - Advanced training in semi-structured diagnostic interviews with ability to adapt to varied clinical contexts - Strong working knowledge of evidence-based interventions for common pediatric concerns, enabling clear and actionable diagnostic recommendations - Strong knowledge of current clinical research and commitment to staying updated on the latest empirical advancements - Clear understanding of and deep commitment to ethical standards of care - Experience providing care both in-person and virtually (some evaluations and feedback sessions may be conducted virtually depending on clinical appropriateness and family preference) - Interest and experience thriving in a start-up environment - Bilingual candidates are strongly preferred, particularly Spanish-speaking - Ability to maintain up to 30 hours per week for evaluations + feedback WE OFFER SEVERAL BENEFITS, PERKS, AND STIPENDS: - Medical, Dental, Vision, Long-Term Disability, Life Insurance, Flexible Spending Account, and 401k - 12 Company Holidays + Floating Holidays, Holiday Shutdown, Flexible Time Off, Parental Leave - Health and Wellness Stipend, Home Office Reimbursement and Professional Development Reimbursement - Stock Options At Brightline we have built a total rewards philosophy that includes fair, equitable, competitive, geo-based compensation that is performance and potential based. Our strategy is based on robust market research, including external advisory specializing in national compensation, and thoughtful input from every level of our organization. It is a combination of a cash salary, equity, benefits, wellbeing, and opportunity. In compliance with the Equal Pay for Equal Work Act, the annual base salary range for applicants is $80,000- $105,000. OUR COMMITMENT TO BUILDING A DIVERSE, EQUITABLE, AND INCLUSIVE WORKFORCE At Brightline, we believe that Diversity, Equity, Inclusion, and Belonging are essential to the foundation upon which our mission is built. We are committed to: - building a future where all families can access inclusive, high-quality care - creating an environment that encourages our employees to show up authentically, reach their highest potential, and have an equal opportunity to thrive - systematically evaluating and improving our inherent beliefs, observed behaviors, structures, and systems - ensuring that every employee, candidate, client, and family we serve is valued and respected ABOUT BRIGHTLINE Brightline is a therapy and psychiatry practice that delivers expert pediatric, teen, and parental mental health care to families and kids up to age 18. Brightline’s virtual and in-person outpatient services include diagnostic evaluation, therapy, psychiatry services (e.g. medication management), and psychological testing (to assess learning differences, school readiness, executive functioning difficulties [e.g. ADHD], and autism). In addition to Brightline’s generalized support, we offer focused programs including those that support anxiety, obsessive compulsive disorders, ADHD, and disruptive behaviors. Founded in 2019, Brightline has delivered care to tens of thousands of families with industry-leading results http://brightline.com/employers. We’ve been nationally recognized for clinical excellence and innovation for several years — recent awards include the Fast Company 50 Most Innovative Companies (2022) and Behavioral Health Business Companies to Watch Award (2024). Brightline is based in Palo Alto and is backed by investors including Boston Children’s Hospital, Northwell Health, Blue Cross Blue Shield of Massachusetts, Google Ventures, KKR, and Oak HC/FT.", "summaryDescription" : "Evaluation Provider at Brightline. Skills: Diagnostic evaluation, Pediatric behavioral health, Treatment planning. Conduct diagnostic evaluations. Integrate screening and rating measures", "postedDate" : "2026-06-11T16:59:00.173", "createdAt" : "2026-06-11T16:59:00.173", "lastUpdated" : "2026-06-13T08:57:03.059", "ingestTimestamp" : "2026-06-11T16:59:00.173", "mongoId" : "6a25254874d8ee00a00e4939", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Psychological evaluations", "Clinical interviews", "Data review", "Diagnostic recommendations", "Family feedback sessions", "Diagnostic evaluation", "Pediatric behavioral health", "Treatment planning", "Diagnostic evaluations", "Differential diagnosis", "Evidence-based care", "Clinical research", "Youth mental health", "Child psychology" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "therapy", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a25254874d8ee00a00e4933", "title" : "Evaluation Provider", "company" : "Brightline", "industry" : "Therapy", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Evaluation Provider in Albany, United States, adjusted for the healthcare industry and company size." }, "location" : "Albany, NY", "locations" : [ "Albany, NY" ], "timestamp" : "2026-06-14T21:26:10.290", "fingerprint" : "32e33e41c39bb9aeb7fb3d175e7f76fb4e91a1492d3e703b40eccb210a89797c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hellobrightline/2bbff791-04c3-4e85-8ddf-5a28e8fdb1de/application", "externalId" : "2bbff791-04c3-4e85-8ddf-5a28e8fdb1de", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Albany", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6511674,-73.7549680" } ], "locationText" : "Albany, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Diagnostic evaluation", "Differential diagnosis", "Treatment planning", "Clinical standard setting" ], "hardSkillsList" : [ "Clinical interviews", "Data review", "Diagnostic formulation", "Clinical guidance delivery", "Screening measures integration", "Rating measures integration", "Family feedback sessions" ], "hardSkills" : [ { "name" : "Clinical interviews", "level" : "intermediate" }, { "name" : "Data review", "level" : "intermediate" }, { "name" : "Diagnostic formulation", "level" : "intermediate" }, { "name" : "Clinical guidance delivery", "level" : "intermediate" }, { "name" : "Screening measures integration", "level" : "intermediate" }, { "name" : "Rating measures integration", "level" : "intermediate" }, { "name" : "Family feedback sessions", "level" : "intermediate" } ], "majorSkills" : "Diagnostic evaluations, Pediatric behavioral health, Evidence-based care", "majorSkillsList" : [ "Diagnostic evaluations", "Pediatric behavioral health", "Evidence-based care" ], "coreResponsibilities" : "Conduct in-depth diagnostic evaluations, Integrate screening and rating measures, Deliver family feedback sessions, Provide clear recommendations for ongoing care, Collaborate with multidisciplinary teams, Engage in peer consultation, Participate in continuous professional development, Contribute to development of evaluation service line, Participate in community outreach", "teamCollaboration" : "Multidisciplinary teams", "domainKnowledge" : "Pediatric behavioral health; Evidence-based mental health care; Pediatric concerns", "domainList" : [ "pediatric-behavioral-health", "evidence-based-mental-health-care", "pediatric-concerns" ], "domainSpecificKnowledge" : [ "Pediatric behavioral health", "Evidence-based mental health care", "Pediatric concerns" ], "communicationSkills" : "Family feedback sessions; Clinical guidance delivery", "continuousLearning" : "Professional development reimbursement; Staying updated on empirical advancements", "problemSolvingSkills" : "Differential diagnosis", "outcomesObjectives" : "Shape treatment planning; Improve family outcomes", "qualificationsBasic" : "Master's degree in Psychology, Active, unrestricted license to practice at the masters level in the State of New York, Extensive experience conducting diagnostic evaluations for youth and families, Advanced training in semi-structured diagnostic interviews, Working knowledge of evidence-based interventions for pediatric concerns, Clear understanding of ethical standards of care, Experience providing care virtually, Experience providing care in-person, Ability to maintain up to 30 hours per week for evaluations + feedback", "qualificationsPreferred" : "Bilingual candidates strongly preferred, Spanish-speaking preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Brightline is redefining what pediatric behavioral health care looks like for families across the country — and we’re looking for a mission-driven provider specializing in Evaluations who will bring that vision to life. The Evaluation Provider conducts comprehensive psychological evaluations for youth up to age 18, serving as a specialist resource across the region. If you are as passionate about evidence-based mental health care for kids, teens, and families as we are, we’re looking for you. Why This Role Brightline is expanding its evaluation capacity to meet growing demand across our NY clinics. In this role, you will serve as a dedicated specialist — conducting in-depth diagnostic evaluations that directly shape treatment planning and family outcomes. You’ll collaborate with multidisciplinary teams and help set the clinical standard for evaluation excellence at Brightline. This is a rare opportunity to do high-impact clinical work within an innovative, fast-growing practice that is transforming pediatric mental health care. Responsibilities Diagnostic Evaluation - Conduct in-depth diagnostic evaluations, including clinical interviews, multi-informant data review, and differential diagnosis, to clarify presenting concerns and inform evidence-based care for youth up to age 18 (ongoing care provided by other team members) - Provide clear, evidence-based recommendations for ongoing care in alignment with patient need and Brightline’s program offerings - Integrate screening and rating measures into comprehensive diagnostic formulations - Deliver family feedback sessions with actionable, accessible clinical guidance Collaboration & Development - Collaborate with multidisciplinary teams, engage in peer consultation, and participate in continuous professional development - Contribute to the development and refinement of Brightline’s evaluation and testing service line - Participate in community engagement and outreach opportunities REQUIREMENTS: - Master’s degree in Psychology or other related field - Active, unrestricted license to practice at the masters level in the State of New York - Extensive experience conducting diagnostic evaluations across a variety of presenting concerns for youth and families - Advanced training in semi-structured diagnostic interviews with ability to adapt to varied clinical contexts - Strong working knowledge of evidence-based interventions for common pediatric concerns, enabling clear and actionable diagnostic recommendations - Strong knowledge of current clinical research and commitment to staying updated on the latest empirical advancements - Clear understanding of and deep commitment to ethical standards of care - Experience providing care both in-person and virtually (some evaluations and feedback sessions may be conducted virtually depending on clinical appropriateness and family preference) - Interest and experience thriving in a start-up environment - Bilingual candidates are strongly preferred, particularly Spanish-speaking - Ability to maintain up to 30 hours per week for evaluations + feedback WE OFFER SEVERAL BENEFITS, PERKS, AND STIPENDS: - Medical, Dental, Vision, Long-Term Disability, Life Insurance, Flexible Spending Account, and 401k - 12 Company Holidays + Floating Holidays, Holiday Shutdown, Flexible Time Off, Parental Leave - Health and Wellness Stipend, Home Office Reimbursement and Professional Development Reimbursement - Stock Options At Brightline we have built a total rewards philosophy that includes fair, equitable, competitive, geo-based compensation that is performance and potential based. Our strategy is based on robust market research, including external advisory specializing in national compensation, and thoughtful input from every level of our organization. It is a combination of a cash salary, equity, benefits, wellbeing, and opportunity. In compliance with the Equal Pay for Equal Work Act, the annual base salary range for applicants is $80,000- $105,000. OUR COMMITMENT TO BUILDING A DIVERSE, EQUITABLE, AND INCLUSIVE WORKFORCE At Brightline, we believe that Diversity, Equity, Inclusion, and Belonging are essential to the foundation upon which our mission is built. We are committed to: - building a future where all families can access inclusive, high-quality care - creating an environment that encourages our employees to show up authentically, reach their highest potential, and have an equal opportunity to thrive - systematically evaluating and improving our inherent beliefs, observed behaviors, structures, and systems - ensuring that every employee, candidate, client, and family we serve is valued and respected ABOUT BRIGHTLINE Brightline is a therapy and psychiatry practice that delivers expert pediatric, teen, and parental mental health care to families and kids up to age 18. Brightline’s virtual and in-person outpatient services include diagnostic evaluation, therapy, psychiatry services (e.g. medication management), and psychological testing (to assess learning differences, school readiness, executive functioning difficulties [e.g. ADHD], and autism). In addition to Brightline’s generalized support, we offer focused programs including those that support anxiety, obsessive compulsive disorders, ADHD, and disruptive behaviors. Founded in 2019, Brightline has delivered care to tens of thousands of families with industry-leading results http://brightline.com/employers. We’ve been nationally recognized for clinical excellence and innovation for several years — recent awards include the Fast Company 50 Most Innovative Companies (2022) and Behavioral Health Business Companies to Watch Award (2024). Brightline is based in Palo Alto and is backed by investors including Boston Children’s Hospital, Northwell Health, Blue Cross Blue Shield of Massachusetts, Google Ventures, KKR, and Oak HC/FT.", "summaryDescription" : "Evaluation Provider at Brightline. Skills: Diagnostic evaluations, Pediatric behavioral health, Evidence-based care. Conduct in-depth diagnostic evaluations. Integrate screening and rating measures", "postedDate" : "2026-06-11T16:47:29.756", "createdAt" : "2026-06-11T16:47:29.756", "lastUpdated" : "2026-06-14T21:26:10.290", "ingestTimestamp" : "2026-06-11T16:47:29.756", "mongoId" : "6a25254874d8ee00a00e4933", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Clinical interviews", "Data review", "Diagnostic formulation", "Clinical guidance delivery", "Screening measures integration", "Rating measures integration", "Family feedback sessions", "Diagnostic evaluations", "Pediatric behavioral health", "Evidence-based care", "Diagnostic evaluation", "Differential diagnosis", "Treatment planning", "Clinical standard setting", "Evidence-based mental health care", "Pediatric concerns" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "therapy", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a306a43f292fd229cfcbbd8", "title" : "Senior Revenue Recognition Coordinator", "company" : "The Nielsen Company", "industry" : "Broadcast Media", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Revenue Recognition Coordinator in Bengaluru, India, adjusted for the media industry and company size." }, "location" : "Bengaluru, IN", "locations" : [ "Bengaluru", "IN" ], "timestamp" : "2026-06-16T10:20:54.110", "fingerprint" : "e6921720ea69be215e0e931ae39461a21551182e30659fecff6a1e5654eb26ca", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TheNielsenCompany/3743990013615806-senior-revenue-recognition-coordinator-i", "externalId" : "3743990013615806", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Graduation / Post Graduation in Finance", "experienceLevel" : "not-applicable", "hardSkillsList" : [ "Billing", "Revenue Recognition" ], "hardSkills" : [ { "name" : "Billing", "level" : "intermediate" }, { "name" : "Revenue Recognition", "level" : "intermediate" } ], "majorSkills" : "Billing, Revenue Recognition", "majorSkillsList" : [ "Billing", "Revenue Recognition" ], "coreResponsibilities" : "Manage Day-to-Day Billing & Revenue Activity, Review client signed legal contract, Match contract with Order & PO copy, Work with commercial for missing/discrepancy details, Review pending billing daily, Clear all pending items, Share proforma daily for eligible invoices, Follow-up for approval, Proceed with invoicing, Review pending revenue, Follow-up with commercial for EOD, Recognize revenue in the system, Escalate to Team Leader for long pending items, Meet all given metrics, Deliver Daily /Weekly/Monthly reports on time", "toolProficiency" : [ "SAP (S4/ECC)", "ERP platform" ], "qualificationsBasic" : "4-6 Years in Billing, Graduation / Post Graduation in Finance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Summary: ● Need to manage the Day-to-Day Billing & Revenue Activity Responsibilities: ● Need to review the client signed legal contract and matches with Order & PO copy. If any missing/discrepancy, then need to work with commercial and get the details before proceeding further. ● Need to review the pending billing on a daily basis and clear all pending items to make sure unbilled is always zero (or) actionable is zero. ● Need to share the proforma daily for the eligible invoices and follow-up to get approval. Once approved then proceed with invoicing. ● Need to review the pending revenue and follow-up with commercial for EOD to recognize the revenue in the system. ● Escalate to Team Leader for the long pending items due for invoicing ● Need to make sure all the given metrics were met without any excuse. ● Daily /Weekly/Monthly reports get delivered on time without any delay. ● Prior experience of working on SAP (S4/ECC) or a large ERP platform. ## Qualifications ● Experience range 4-6 Years in Billing ● Graduation / Post Graduation in Finance ## Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a [nielsen.com](http://nielsen.com/) domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @[nielsen.com](http://nielsen.com/) address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.", "summaryDescription" : "Senior Revenue Recognition Coordinator at The Nielsen Company. Skills: Billing, Revenue Recognition. Manage Day-to-Day Billing & Revenue Activity. Review client signed legal contract", "postedDate" : "2026-06-15T10:25:17.000", "createdAt" : "2026-06-16T00:01:03.589", "lastUpdated" : "2026-06-16T10:20:54.110", "ingestTimestamp" : "2026-06-16T00:01:03.589", "mongoId" : "6a306a43f292fd229cfcbbd8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Billing", "Revenue Recognition", "SAP (S4/ECC)", "ERP platform" ], "skillCount" : 4, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30589af292fd229cf43696", "title" : "Senior Revenue Recognition Coordinator", "company" : "The Nielsen Company", "industry" : "Broadcast Media", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Revenue Recognition Coordinator in Bengaluru, India, adjusted for the media industry and company size." }, "location" : "Bengaluru, IN", "locations" : [ "Bengaluru", "IN" ], "timestamp" : "2026-06-16T08:11:14.490", "fingerprint" : "2be143ca8aadf355360d4ee1c16a0af73eb6b98ab86b32ffa578bd3a66419587", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TheNielsenCompany/3743990013615806-senior-revenue-recognition-coordinator-i", "externalId" : "3743990013615806", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Graduation / Post Graduation in Finance", "experienceLevel" : "not-applicable", "coreResponsibilities" : "Manage Day-to-Day Billing & Revenue Activity, Review client signed legal contract, Match contract with Order & PO copy, Work with commercial for missing/discrepancy details, Review pending billing daily, Clear all pending items, Share proforma daily for eligible invoices, Follow-up for invoice approval, Proceed with invoicing after approval, Review pending revenue, Follow-up with commercial for EOD, Recognize revenue in the system, Escalate long pending items to Team Leader, Meet all given metrics, Deliver Daily /Weekly/Monthly reports on time", "toolProficiency" : [ "SAP (S4/ECC)" ], "qualificationsBasic" : "4-6 Years in Billing, Graduation / Post Graduation in Finance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Summary: ● Need to manage the Day-to-Day Billing & Revenue Activity Responsibilities: ● Need to review the client signed legal contract and matches with Order & PO copy. If any missing/discrepancy, then need to work with commercial and get the details before proceeding further. ● Need to review the pending billing on a daily basis and clear all pending items to make sure unbilled is always zero (or) actionable is zero. ● Need to share the proforma daily for the eligible invoices and follow-up to get approval. Once approved then proceed with invoicing. ● Need to review the pending revenue and follow-up with commercial for EOD to recognize the revenue in the system. ● Escalate to Team Leader for the long pending items due for invoicing ● Need to make sure all the given metrics were met without any excuse. ● Daily /Weekly/Monthly reports get delivered on time without any delay. ● Prior experience of working on SAP (S4/ECC) or a large ERP platform. ## Qualifications ● Experience range 4-6 Years in Billing ● Graduation / Post Graduation in Finance ## Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a [nielsen.com](http://nielsen.com/) domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @[nielsen.com](http://nielsen.com/) address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.", "summaryDescription" : "Senior Revenue Recognition Coordinator at The Nielsen Company. Manage Day-to-Day Billing & Revenue Activity. Review client signed legal contract", "postedDate" : "2026-06-15T10:25:17.000", "createdAt" : "2026-06-15T23:37:06.450", "lastUpdated" : "2026-06-16T08:11:14.490", "ingestTimestamp" : "2026-06-15T23:37:06.450", "mongoId" : "6a30589af292fd229cf43696", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "SAP (S4/ECC)" ], "skillCount" : 1, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f4c74d8ee00a08eac5b", "title" : "Director, Research - Evaluation & Training", "company" : "Snorkel AI", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director, Research - Evaluation & Training in San Francisco, adjusted for seniority, company size, and the technology industry." }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-14T22:21:08.575", "fingerprint" : "b0792dbc0bd5486acee1ee0ccfe36c6135a2afadd1e1b2e80745bc4080985c7c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/snorkelai/jobs/6020877004", "externalId" : "6020877004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceLevel" : "Director", "technicalSkills" : "AI, ML", "professionalSkills" : [ "Business judgment", "Market judgment" ], "hardSkillsList" : [ "Evaluation techniques", "Error analysis", "Data valuation" ], "softSkillsList" : [ "Leadership", "Communication", "Storytelling" ], "hardSkills" : [ { "name" : "Evaluation techniques", "level" : "intermediate" }, { "name" : "Error analysis", "level" : "intermediate" }, { "name" : "Data valuation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Communication" }, { "name" : "Storytelling" } ], "majorSkills" : "Data-centric research, Model evaluation, Data valuation", "majorSkillsList" : [ "Data-centric research", "Model evaluation", "Data valuation" ], "coreResponsibilities" : "Own multi-quarter roadmap, Synthesize trends from model-failure analysis, Share trends into recommendations, Quantify how Snorkel data improves model performance, Lead and grow team of researchers, Set high bar for quality, Set high bar for rigor, Set high bar for speed of execution, Act as bridge between findings and Product, Act as bridge between findings and GTM, Act as bridge between findings and customers", "teamCollaboration" : "Bridge findings to Product; Bridge findings to GTM; Bridge findings to customers", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "LLM evaluation; Benchmarking; Model behavior analysis; Data-centric methods", "domainList" : [ "llm-evaluation", "benchmarking", "model-behavior-analysis", "data-centric-methods" ], "domainSpecificKnowledge" : [ "LLM evaluation", "Benchmarking", "Model behavior analysis", "Data-centric methods" ], "communicationSkills" : "Make technical results legible; Make technical results persuasive", "problemSolvingSkills" : "Error analysis; Model failure analysis", "qualificationsBasic" : "7+ years in applied AI, ML, or research, 4+ years managing technical teams, SQL proficiency", "qualificationsPreferred" : "Familiarity with data valuation or data attribution research, Experience working with frontier labs, Experience with public benchmarks, Experience with commercial AI data/eval products", "rawDescription" : "About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Snorkel AI came out of the Stanford AI lab and is built on the principle that data development is the core of AI. For years, we have pioneered data-centric methods that power the world’s most sophisticated AI implementations from top enterprises to frontier AI labs. We are looking for a Senior Manager of Research to lead a team focused on data-centric research. About the Role We're looking for a manager to lead a team of researchers to focus on data evaluation, error analysis and data valuation methods to predict model performance. This team is responsible for showcasing the value and quality of Snorkel’s data for model training and evaluation, understanding where today's frontier models fall short, and turning that understanding into a point of view on what benchmarks and datasets these models will benefit from. You and your team will be responsible for Snorkel’s data design flywheel by analyzing model failures, finding capability and skill gaps in current models, suggesting the next benchmarks to invest in and then proving the value of this data for our customers. Main Responsibilities Own a multi-quarter roadmap centered on novel evaluation, error analysis, and data valuation techniques Synthesize and share trends from model-failure analysis and benchmarking into recommendations on the datasets the community should focus on and the ones Snorkel should invest in — making this team a primary input to the company's data strategy. Focus on data valuation techniques that quantify how Snorkel data meaningfully improves model performance Lead and grow a team of researchers, setting a high bar for quality, rigor and speed of execution Act as the primary bridge between the team's findings and Product, GTM, and our customers What We’re Looking For 7+ years in applied AI, ML, or research roles, with 4+ years managing technical teams. A leader who has repeatedly turned research and analysis into business outcomes, and who instinctively connects technical findings to market and customer needs. Strong business and market judgment in the AI/ML space — you understand the competitive and frontier-lab landscape and can prioritize accordingly. Technically conversant and credible: enough depth in LLM evaluation, benchmarking, and model behavior analysis to set direction, judge experimental quality, and pressure-test results — without needing to be the deepest technical expert in the room. A nose for trends: able to look across many evaluation results and failure cases and extract the signal that should drive what gets built next. Excellent communication and storytelling skills, with the ability to make technical results legible and persuasive to non-research audiences. Familiarity with data valuation or data attribution research is a strong plus. Bonus: experience working with frontier labs, public benchmarks, or commercial AI data/eval products. Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need. 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.", "summaryDescription" : "Director, Research - Evaluation & Training at Snorkel AI. Skills: Data-centric research, Model evaluation, Data valuation. Own multi-quarter roadmap. 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As AI models increasingly handle complex workflows in this domain—specifically real-world customer support scenarios like flight bookings, financial services, and telecommunications—their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks through simulated interactions, audit conversational AI outputs, and generate clean, reliable datasets to optimize model performance. Project Deliverables company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote", "summaryDescription" : "French Audio Evaluations Specialist - Freelance AI Trainer Project at Meridial. Produce evaluation tasks. Audit conversational AI outputs", "postedDate" : "2026-06-14T08:25:32.154", "createdAt" : "2026-06-14T08:25:32.154", "lastUpdated" : "2026-06-15T09:57:15.175", "ingestTimestamp" : "2026-06-14T08:25:32.154", "mongoId" : "6a2c91a574d8ee00a098386e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic audio models", "Customer support scenarios" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e9f74d8ee00a0af8845", "title" : "Director, Engineering, Product Experimentation and Evaluations", "industry" : "Technology", "salary" : { "min" : 275000.0, "max" : 425000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Engineering in the Technology industry in San Jose, California, adjusted for seniority and company size." }, "location" : "[San Jose, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]", "locations" : [ "[San Jose, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "timestamp" : "2026-06-16T11:49:27.577", "fingerprint" : "e51fa5179a881aa69b5965232d64fb7c85f268c8d77988b72a5cba78057ac53a", "source" : "google", "language" : "en", "externalId" : "141084977033814726", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "experienceLevel" : "Director", "remoteFriendly" : true, "summaryDescription" : "Director, Engineering, Product Experimentation and Evaluations", "postedDate" : "2026-06-16T01:50:02.970", "createdAt" : "2026-06-16T01:50:02.970", "lastUpdated" : "2026-06-16T11:49:27.577", "ingestTimestamp" : "2026-06-16T01:50:02.970", "mongoId" : "6a210e9f74d8ee00a0af8845", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 425000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e5f9bc74574cb67a51b", "title" : "Assistant Director Program Evaluation and Project Management", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Program Evaluation and Project Management Director roles in Sugar Land, TX, adjusted for industry and seniority." }, "location" : "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "locations" : [ "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "
ADMINISTRATION BUILDING (700)
16431 LEXINGTON BLVD.
SUGAR LAND, 77479

" ], "timestamp" : "2026-06-16T02:08:54.464", "fingerprint" : "de3698396b0c47e91d10b06f814c508fb222fee8b49c46d58bce95329d3b9918", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=187253", "externalId" : "187253", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "experienceLevel" : "Director", "remoteFriendly" : false, "rawDescription" : "Job Overview The Assistant Director Program Evaluation & Project Management will be responsible for development and implementation of systems for research, program evaluation, and project management to support effective implementation of District priorities. The incumbent will oversee all aspects of district research, conduct program evaluations, oversee project management systems, and implement data and reporting protocols to support continuous improvement. The Assistant Director Program Evaluation and Project Management will provide strong leadership in the area of evaluation, improvement, and resource allocation to ensure attainment of District priorities and goals. Position Description Essential Duties and Responsibilities Research, Program Evaluation, & Project Management Lead the design, implementation, and monitoring of systems for a comprehensive research, program evaluation, and review cycle for district-wide programs Lead the annual program evaluation process including development of evaluation scope, data analysis, and action planning using results to promote efficiency of resource allocation and continuous improvement to ensure programming supports improved student achievement Oversee the Project Management Office to facilitate intake, monitor progress, and ensure projects are completed on time and within scope. Establish systems and implement protocols for data analysis to identify trends, patterns, and areas of improvement for district programs Oversee all aspects of District research projects to ensure adherence to laws and guidelines governing research including data requests and reporting of defined project outcomes Lead the Research Review Board to collaboratively analyze, approve, and make recommendations regarding proposed internal and external research to be conducted in the District Complete professional literature reviews on educational research and evaluation, and report on appropriate topics that could be of interest to the improvement of the District Leadership Establish and implement systems for progress monitoring including quarterly reporting on research, program evaluation, and project management processes within the district Conduct annual program evaluations, manage scope, timelines for data review, stakeholder engagement, reporting, and analysis to support continuous improvement Manage technology systems and reporting structures including tools that support data reporting, survey, feedback, and information sharing Develop and deliver training for District and campus administrators and other relevant stakeholder groups on program evaluation practices, evidence analysis, and data driven decision-making best practices Collaborate to support district department and campus leader engagement in improvement planning, progress monitoring, and evaluation of defined improvement strategies Administrative Design and prepare customized formative and summative reports and databases to support research, program evaluation, and project management Review project outcomes and evaluate effectiveness of the project management office and personnel Facilitate the use of District data systems to ensure ongoing review and analysis of data Collaborate to compile results from stakeholder engagement activities including surveys, focus groups, and other feedback opportunities Attend pertinent District and community functions to support the development of partnerships across the organization and within the community Prepare professional written reports and communications for the Superintendent and Board in consultation leaders of the Executive Team Maintain records, plans, and data related to the implementation of department work priorities Keep abreast of current research, state, and federal guidelines, rules and regulations related to research, program evaluation, data analysis, and project management Adhere to all federal, state, and local laws and policies Supervisory Responsibilities Assist in the process of recruiting, screening, interviewing, and hiring of assigned staff Initiate personnel actions including documentation and termination under the guidance of Human Resources Conduct performance appraisals of assigned staff Address complaints and resolve problems in a timely manner Supervise project management systems Monitor and maintain data reporting systems Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Master's degree required Valid Teaching Certification Issued by Texas Education Agency appropriate to subject and grade level of assignment Valid Texas Mid-Management or Principal Certification Minimum of 3 years successful teaching experience Minimum of 5 years in instructional leadership at the campus or district level Demonstrated knowledge in research, program evaluation, and project management Demonstrated knowledge of best practices in the implementation of district initiatives Demonstrated experience in data analysis, disaggregation, and improvement planning Proficiency in Microsoft Office including EXCEL Excellent communication and interpersonal skills, both orally and in writing Physical Requirements/Working Conditions The work environment characteristics and physical demands 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. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. 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Automated Performance Evaluation", "company" : "Amazon Development Centre (Scotland) Limited", "industry" : "Machine Learning Science, Applied Science, global corporate", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Applied Scientist (Machine Learning) in Edinburgh, UK, adjusted for mid-seniority and the technology industry." }, "location" : "Edinburgh, Scotland, GBR", "locations" : [ "Edinburgh, Scotland, GBR" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:06:07.251", "fingerprint" : "b6954a55989b735d446c612c9ad3dbefe364be97c9cdcad317d856abcc760198", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101617/apply", "externalId" : "b96e13d7-b2ad-4c3a-ae0e-92074d5c7153", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edinburgh", "state" : "Scotland", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.9533456,-3.1883749" } ], "locationText" : "Edinburgh, Scotland, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Python, R, SQL, Spark, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Snowflake, BigQuery, Redshift, Databricks, Dbt, Airflow, Delta Lake, Tableau, Power BI, Looker", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data modeling", "Data pipeline development", "Algorithm development", "Performance evaluation" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Performance evaluation", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, Automated Performance Evaluation", "majorSkillsList" : [ "Machine Learning", "Data Science", "Automated Performance Evaluation" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and execute experiments for performance evaluation, Analyze large datasets to identify trends and insights, Build and maintain data pipelines, Collaborate with engineering teams to deploy models, Communicate findings to stakeholders, Stay up-to-date with the latest research in ML/AI", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "Automated performance evaluation; Machine learning frameworks; Cloud data stacks; Statistical modelling", "domainList" : [ "automated-performance-evaluation", "machine-learning-frameworks", "cloud-data-stacks", "statistical-modelling" ], "domainSpecificKnowledge" : [ "Automated performance evaluation", "Machine learning frameworks", "Cloud data stacks", "Statistical modelling" ], "toolProficiency" : [ "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Delta Lake", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Master's degree, 5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Key job responsibilities As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. About the team The Automated Performance Evaluation (APE) team is a hybrid team of Applied Scientists and Software Development Engineers who develop, deploy and own end-to-end machine learning services for use in the HR and Recruiting functions at Amazon. Basic Qualifications: - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.", "summaryDescription" : "Applied Scientist (Machine Learning), ITA - Automated Performance Evaluation at Amazon Development Centre (Scotland) Limited. Skills: Machine Learning, Data Science, Automated Performance Evaluation. Develop and implement machine learning models. Design and execute experiments for performance evaluation", "postedDate" : "2026-06-14T17:34:53.471", "createdAt" : "2026-06-14T17:34:53.471", "lastUpdated" : "2026-06-16T05:06:07.251", "ingestTimestamp" : "2026-06-14T17:34:53.471", "mongoId" : "68e3dee570f0b99d589c669f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101617/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modeling", "Data pipeline development", "Algorithm development", "Performance evaluation", "Machine Learning", "Data Science", "Automated Performance Evaluation", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "Modelling skills", "Automated performance evaluation", "Machine learning frameworks", "Cloud data stacks", "Statistical modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Delta Lake", "Tableau", "Power BI", "Looker" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45b2beec4dd3d9a3eb5", "title" : "Clinical Nurse III - Evaluation Treatment Center, Nights", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Clinical Nurse III in Irvine, California, adjusted for mid-seniority and the healthcare industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "Nursing", "Onsite, Nights, Nights" ], "certifications" : [ "Current CA Registered Nurse License", "Current Basic Life S" ], "timestamp" : "2026-06-15T13:56:22.702", "fingerprint" : "630f7ed748e90760eedcc76964712a5be5a90f7dadef2155f5a983e479f8f112", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=225263", "externalId" : "225263", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "minimumEducation" : "Bachelor's Degree", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Clinical documentation", "Care coordination" ], "hardSkillsList" : [ "Oncology pathophysiology", "Rapid assessments", "Triage", "Stabilization", "Medication administration", "Infusion devices" ], "softSkillsList" : [ "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Oncology pathophysiology", "level" : "intermediate" }, { "name" : "Rapid assessments", "level" : "intermediate" }, { "name" : "Triage", "level" : "intermediate" }, { "name" : "Stabilization", "level" : "intermediate" }, { "name" : "Medication administration", "level" : "intermediate" }, { "name" : "Infusion devices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Oncology patient care, Urgent evaluation, Intervention", "majorSkillsList" : [ "Oncology patient care", "Urgent evaluation", "Intervention" ], "coreResponsibilities" : "Utilizes the nursing process, Assesses patient conditions, Recognizes early signs of complications, Escalates care when necessary, Ensures continuity of care, Administers specialized medications, Monitors treatment responses, Manages central lines, Manages infusion devices, Prioritizes holistic care, Serves as a mentor, Delegates to personnel, Integrates and practices, Coordinates interdisciplinary care planning, Documents according to standards, Validates patient understanding", "teamCollaboration" : "Collaborate with physicians; Interdisciplinary care team", "domainKnowledge" : "Oncology pathophysiology; Immunocompromised patients", "domainList" : [ "oncology-pathophysiology", "immunocompromised-patients" ], "domainSpecificKnowledge" : [ "Oncology pathophysiology", "Immunocompromised patients" ], "toolProficiency" : [ "Clinical information system" ], "documentationSkills" : "Patient documentation", "continuousLearning" : "Lifelong learning; Professional development", "problemSolvingSkills" : "Critical thinking", "qualificationsBasic" : "Bachelor's Degree, 3 – 5 years related experience, Current CA Registered Nurse License, Current Basic Life S", "qualificationsPreferred" : "Urgent care or emergency room experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. With the opening of the hospital, the full continuum of advanced cancer care—from prevention through survivorship—will be available in Orange County for the first time, eliminating the need to travel for lifesaving treatment. Seamlessly connected to our outpatient cancer center, the new clinical research hospital will feature 73 inpatient beds, advanced surgical suites, groundbreaking clinical trials, and holistic services such as rehabilitative therapy and spiritual care. This isn’t standard cancer care. This is lifesaving cancer care. This is Hope. We are seeking experienced nurses for our 8-bed Evaluation and Treatment Center (ETC) at City of Hope Orange County Cancer Specialty Hospital as a Clinical Nurse III in the ETC you will provide compassionate care to our oncology patients who are requiring urgent evaluation and intervention. This role is vital in addressing acute symptoms related to cancer, treatment side effects, and oncologic emergencies. The Clinical Nurse III performs rapid assessments, triage, and stabilization with strong understanding of oncology pathophysiology and the unique needs of immunocompromised patients. You will collaborate closely with physicians, and the interdisciplinary care team, the Clinical Nurse ensure timely, individualized care that prioritizes both safety and the dignity of the patient. The position requires clinical expertise, strong critical thinking, emotional resilience, and a deep commitment to supporting patents and families. As a successful candidate, you will: Utilizes the nursing process and practice standards as a framework for the management of patient care. Can assess patient conditions, recognize early signs of complications, escalation of care when necessary, and continuity of care through coordination with inpatient, outpatient, and palliative teams. Administering specialized medications, monitoring treatment responses, managing central lines and infusion devices. Demonstrates knowledge of the clinical information system and applies principles to patient documentation. Prioritizes holistic care, addressing both the physical and emotional needs of the patients. Serves as a mentor and role model to new staff members. Delegates to licensed and unlicensed personnel. Integrates and practices according to the City of Hope Professional Practice Model to deliver care service excellence. In alignment with City of Hope mission and values, the Division of Nursing and Patient Care Services vision and mission, and with continuous focus on the patient, family and community, carries out the nursing process, coordinates interdisciplinary care planning, documents according to standards, including validation of the patient and caregiver’s understanding of the plan of care and expected outcomes. The nurse is a change agent, committed to lifelong learning, professional development and embodiment of City of Hope organizational mission and values, and the values and ethos of the profession of nursing. Shift: Nights This position is also eligible for a night shift differential up to $6.50/hr and weekend differential up to $15.60/hr. Multiple Positions Available Your qualifications should include: Bachelor’s Degree 3 – 5 years related experience (urgent care or emergency room) Current CA Registered Nurse License Current Basic Life Support (BLS) through American Heart Association Current Advanced Cardiac Life Support (ACLS) through American Heart Association ONS certification is highly preferred City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Irvine", "summaryDescription" : "Clinical Nurse III - Evaluation Treatment Center, Nights at City of Hope. Skills: Oncology patient care, Urgent evaluation, Intervention. Utilizes the nursing process. Assesses patient conditions", "createdAt" : "2026-06-14T06:49:50.165", "lastUpdated" : "2026-06-15T13:56:22.702", "ingestTimestamp" : "2026-06-14T06:49:50.165", "mongoId" : "69dde45b2beec4dd3d9a3eb5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Oncology pathophysiology", "Rapid assessments", "Triage", "Stabilization", "Medication administration", "Infusion devices", "Critical thinking", "Mentoring", "Oncology patient care", "Urgent evaluation", "Intervention", "Clinical documentation", "Care coordination", "Immunocompromised patients", "Current CA Registered Nurse License", "Current Basic Life S", "Clinical information system" ], "skillCount" : 17, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca4bc74d8ee00a09b31cb", "title" : "Assistant Professor, Nursing Evaluator", "company" : "Nightingale Education Group", "salary" : { "min" : 83000.0, "max" : 87000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T04:39:38.346", "fingerprint" : "329d03bd4e02c68f333da20835d5b9ba3a0dfda451b4cad704a45c4c3950c032", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nightingalecollege/jobs/4281670009", "externalId" : "4281670009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMaxYears" : 1, "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you a nurse who is passionate about being an integral part of educating the next generation of nurses? Have you been dreaming about being part of an organization that really cares about people and really focuses on changing healthcare outcomes? We are looking for Master's and Doctorate-prepared nurses to evaluate learner submissions. Position Summary: Assistant Professor I, Evaluator for Nursing Education evaluates experiential learning performance of learners in accordance with course outcomes. Evaluation methods are accomplished through utilizing cutting-edge technologies, and other industry trends reflecting advancements in the discipline by promoting an interdisciplinary approach to advanced practice nursing education and healthcare delivery within and outside the College. The incumbent will be accountable for the assessment of the learners’ achievement in the program and is accountable for Nursing Education Services successful attainment of key performance indicators, program and functional outcomes, and the success of the College’s mission. Role and Responsibilities: Adheres to and holds learners accountable to syllabi and grading rubric expectations. Attends nursing faculty meetings, participates in committees, engages in shared decision-making, and participates in other faculty activities as required. Participates in the successful implementation of other functional projects as they arise. Qualifications and Education Requirements: Earned Master’s degree with a major in nursing from an accredited institution supplemented by 0-1 year of relevant experience. Active, unencumbered RN or APRN license from state of residence and ability to obtain RN and NP licensure in any jurisdiction required by the College, including a valid multi-state license. Either has an earned Certified Nurse Educator (CNE) credential or commits to obtaining this certification within a one-year period. Maintains current knowledge in multiple areas of nursing practice. Additional Contributions: Annual Professional Development, Service as SME, and Service on Committees. Learner load will be congruent with current faculty matrix for the assigned course(s). Budgeted Hiring Range: $83,000 - $87.000 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" : "Assistant Professor, Nursing Evaluator at Nightingale Education Group", "postedDate" : "2026-06-14T18:45:47.843", "createdAt" : "2026-06-14T18:45:47.843", "lastUpdated" : "2026-06-16T04:39:38.346", "ingestTimestamp" : "2026-06-14T18:45:47.843", "mongoId" : "6a2ca4bc74d8ee00a09b31cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83000, "salaryAnnualMax" : 87000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "audio evaluation accent recognition transcription english pakistani evaluation jobs", "metadata" : { "title" : "audio evaluation accent recognition transcription english pakistani evaluation" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 2522, "totalPages" : 51, "hasNext" : true, "hasPrevious" : false } }

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