{ "count" : 4602, "data" : [ { "id" : "6a2c64ca74d8ee00a08fbd82", "title" : "Performance Measurement and Evaluation Intern", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an entry-level intern position in Long Island City, United States, with adjustments for industry and seniority." }, "location" : "Long Island City, NY", "locations" : [ "Long Island City, NY" ], "timestamp" : "2026-06-15T08:23:11.094", "fingerprint" : "a606163a290a0313632e38fa9d0ce3b7cd04f125e27888ad2ffad23240eda384", "source" : "jazzhr", "language" : "en", "externalId" : "kJZjnqD64H", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Island City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7455316,-73.9484995" } ], "locationText" : "Long Island City, New York, United States", "employmentType" : "INTERNSHIP", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Performance Measurement and Evaluation Intern", "createdAt" : "2026-06-14T00:10:08.150", "lastUpdated" : "2026-06-15T08:23:11.094", "ingestTimestamp" : "2026-06-14T00:10:08.150", "mongoId" : "6a2c64ca74d8ee00a08fbd82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2cda0c74d8ee00a0a4a9b7", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "timestamp" : "2026-06-16T01:58:38.641", "fingerprint" : "68616fac2842ed528effc6ac3a6a3a8511ffbb8a8109440c50c0002428d2553a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003675", "externalId" : "8003675", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Measurement strategy", "Data analysis", "Client advising", "Research studies", "Campaign analysis", "Best practices", "Playbook creation" ], "hardSkillsList" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic analysis", "Conversion lift analysis" ], "hardSkills" : [ { "name" : "Digital analytics", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Media measurement", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Foot traffic analysis", "level" : "intermediate" }, { "name" : "Conversion lift analysis", "level" : "intermediate" } ], "majorSkills" : "Measurement strategy, Data analysis, Client advising", "majorSkillsList" : [ "Measurement strategy", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage study process, Deliver study results, Advocate for measurement solutions, Ensure effective implementation, Lead presentation of results, Provide insights, Provide recommendations, Conduct in-depth analyses, Evaluate campaign tactics effectiveness, Create actionable best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore new AI applications", "teamCollaboration" : "Sales teams; Account management teams; Product teams; Internal teams; Client conversations", "domainKnowledge" : "Measurement landscape; Lift testing; Incrementality testing; Attribution; Foot traffic; Conversion lift; Emerging measurement trends", "domainList" : [ "measurement-landscape", "lift-testing", "incrementality-testing", "attribution", "foot-traffic", "conversion-lift", "emerging-measurement-trends" ], "domainSpecificKnowledge" : [ "Measurement landscape", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Emerging measurement trends" ], "toolProficiency" : [ "AI tools", "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Presenting insights; Presenting recommendations; Senior stakeholder presentations", "documentationSkills" : "Playbook creation", "problemSolvingSkills" : "Solve complex client problems", "specialRequirements" : "In-person events, Team building exercises", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's degree in quantitative field, 0-2 years experience in digital analytics, Understanding of measurement landscape, Demonstrated client service background, Partnering across teams, Comfortable extracting and analyzing datasets, SQL proficiency, Python proficiency", "qualificationsPreferred" : "Master's degree preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement strategy, Data analysis, Client advising. Lead measurement research studies. 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Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Materials and NDE (Non-Destructive Evaluation) team plays a central role in enabling Terran R to fly, re-fly, and scale: developing, characterizing, and inspecting materials and processes across all parts of the vehicle. From welding and additive manufacturing to advanced composites, the team works at the intersection of innovation and execution, balancing performance and reliability with cost, quality, and schedule. As we move toward first flight and beyond, the challenges become more exciting, offering opportunities to shape how we design and develop for re-use. With ownership across products, systems, and disciplines, engineers gain broad exposure and drive key decisions across design, manufacturing, and operations. About the Role: Operate and program CNC lathes, mills, and wire EDM machines, ensuring precision in machining aerospace metal alloys Utilize CAD software to create and modify designs, implementing CNC programs (G-code) for producing materials test coupons Maintain, troubleshoot, and calibrate machining equipment, ensuring compliance with aerospace industry standards Communicate effectively with engineering teams and cross-functional stakeholders to translate project requirements into machining solutions Work collaboratively with teams of varying technical expertise to optimize machining processes and troubleshoot manufacturing challenges Develop and enforce standardized workflows for machine shop operations, including shift hand-offs and documentation of machining procedures About You: 2+ years of hands-on machining experience operating or programming CNC lathes, mills and/or EDM machines Experience in machine maintenance, troubleshooting, and calibration to ensure optimal performance Experience in using common inspection tools (calipers, micrometers, dial indicators, etc.) Ability to interpret and verify engineering drawings, blueprints, and technical specifications using precision measuring instruments Ability to adapt in fast paced environments Nice to haves but not required: Proficiency in CAD/CAM software and G-code programming Solid understanding of machining best practices for aerospace materials Strong oral and verbal communication skills Strong understanding of tolerancing and measurement techniques in accordance with GD&T (Geometric Dimensioning and Tolerancing) standards At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $25.80—$35.48 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at accommodations@relativityspace.com.", "summaryDescription" : "Materials Characterization Technician II at Relativity Space", "postedDate" : "2026-06-14T21:48:45.791", "createdAt" : "2026-06-14T21:48:45.791", "lastUpdated" : "2026-06-16T05:34:08.366", "ingestTimestamp" : "2026-06-14T21:48:45.791", "mongoId" : "6a2ca35c74d8ee00a09ab607", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 72800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cda0c74d8ee00a0a4a9b6", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:32:15.710", "fingerprint" : "d7e3dceb65465e1fd815ee1f33e8c98fe96ac047e740bb412dbdb11509658999", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003681", "externalId" : "8003681", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Measurement strategy", "Client service", "Data analysis" ], "hardSkillsList" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution modeling", "Foot traffic analysis", "Conversion lift analysis" ], "hardSkills" : [ { "name" : "Digital analytics", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Media measurement", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Foot traffic analysis", "level" : "intermediate" }, { "name" : "Conversion lift analysis", "level" : "intermediate" } ], "majorSkills" : "Measurement, Data analysis, Client advising", "majorSkillsList" : [ "Measurement", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage research process, Deliver research results, Advocate measurement solutions, Implement measurement solutions, Present research results, Conduct in-depth analyses, Evaluate campaign tactics effectiveness, Create best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore AI applications", "teamCollaboration" : "Work with sales team; Partner with sales; Partner with account management; Partner with product teams", "domainKnowledge" : "Measurement landscape; First party measurement; Third party measurement; AI-first environment", "domainList" : [ "measurement-landscape", "first-party-measurement", "third-party-measurement", "ai-first-environment" ], "domainSpecificKnowledge" : [ "Measurement landscape", "First party measurement", "Third party measurement", "AI-first environment" ], "toolProficiency" : [ "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Present insights; Present recommendations", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "Participate in events, Attend trainings, Attend off-sites, Volunteer days, Team building exercises, Build in-person relationships", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's or Master's degree, 0-2 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement, Data analysis, Client advising. Lead measurement research studies. Manage research process", "postedDate" : "2026-06-14T04:20:08.444", "createdAt" : "2026-06-14T04:20:08.444", "lastUpdated" : "2026-06-15T08:32:15.710", "ingestTimestamp" : "2026-06-14T04:20:08.444", "mongoId" : "6a2cda0c74d8ee00a0a4a9b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution modeling", "Foot traffic analysis", "Conversion lift analysis", "Measurement", "Data analysis", "Client advising", "Measurement strategy", "Client service", "Measurement landscape", "First party measurement", "Third party measurement", "AI-first environment", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7b7a74d8ee00a0949cbc", "title" : "Concrete Project Manager - Self Perform Team", "company" : "Absher Construction", "industry" : "Real Estate", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager level Concrete Project Manager in Western Washington, adjusted for the construction industry and company size." }, "location" : "Western Washington", "locations" : [ "Western Washington" ], "certifications" : [ "OSHA 30", "First Aid/CPR" ], "timestamp" : "2026-06-15T11:13:44.031", "fingerprint" : "efc25311f90eb716ecdb8b2ebb14565b19bdc2b3e5895e72fa66de822a82463c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/absherconstruction/jobs/4278702009", "externalId" : "4278702009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Washington", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Cost performance", "Labor productivity" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Cost performance", "level" : "intermediate" }, { "name" : "Labor productivity", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Self-perform operations, Project execution, Field leadership", "majorSkillsList" : [ "Self-perform operations", "Project execution", "Field leadership" ], "coreResponsibilities" : "Lead project execution, Ensure successful delivery, Ensure safety performance, Ensure quality performance, Ensure financial performance, Oversee planning, Oversee scheduling, Oversee change management, Oversee safety integration, Oversee quality control, Oversee closeout, Develop execution strategies, Communicate execution strategies, Ensure clarity on scope, Ensure clarity on productivity goals, Ensure clarity on sequencing, Ensure clarity on constraints, Drive risk planning, Identify high-risk activities, Embed safety into crew planning, Embed safety into daily readiness, Monitor field issues, Resolve field issues, Maintain alignment between estimate and plan, Maintain alignment between plan and execution, Track labor productivity, Track labor costs, Identify variances, Implement corrective actions, Supervise team members, Mentor team members, Develop team members, Serve as key interface, Ensure alignment, Ensure scope clarity", "teamCollaboration" : "Field leaders; Self-perform teams; GC operations; Project stakeholders", "projectManagementSkills" : [ "Planning", "Scheduling", "Change management", "Closeout" ], "domainKnowledge" : "Commercial construction; Self-perform operations", "domainList" : [ "commercial-construction", "self-perform-operations" ], "domainSpecificKnowledge" : [ "Commercial construction", "Self-perform operations" ], "problemSolvingSkills" : "Risk planning; Resolve field issues", "specialRequirements" : "Background check, Drug screen", "outcomesObjectives" : "Successful delivery; Safety performance; Quality performance; Financial performance; Protect schedule; Protect margin", "qualificationsBasic" : "Bachelor's degree in Construction Management, Engineering, or related field, 10+ years of experience in commercial construction, Proven ability to manage complex scopes, Proven ability to manage labor productivity, Proven ability to manage cost performance, Relationship-building skills with owners, Relationship-building skills with architects, Relationship-building skills with field teams, Relationship-building skills with trade partners, Commitment to a safety-first culture, Disciplined execution in the field", "qualificationsPreferred" : "Proficiency in construction software, Experience with scheduling tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "Celebrating 85 Years of Building With Purpose At Absher Construction, we’re proud to celebrate over 85 years as one of the Pacific Northwest’s most respected general contractors. As a 100% employee-owned company, we believe our people are our greatest asset and we invest in them like it! From fully paid medical premiums for employees, to a generous PTO policy, 401(k) and ESOP retirement benefits, we offer a total rewards package that reflects the pride and ownership we bring to every project. As a Self-Perform Project Manager, you own the outcome. You’ll lead Absher’s self-perform operations on multiple scopes, managing planning, performance, and profitability. This role is deeply rooted in the field where you’ll be walking jobs, pressure-testing plans, mentoring teams, and driving execution where it matters most. This is a builder’s role for someone who thrives on accountability, sees complexity as a challenge worth solving, and understands that high-performing teams are built through discipline, clarity, and collaboration. What You’ll Do Lead project execution to ensure successful delivery, safety, quality, and financial performance of self-perform scopes Oversee planning, scheduling, change management, safety integration, quality control, and closeout Develop and communicate execution strategies with field leaders to ensure clarity on scope, productivity goals, sequencing, and constraints Drive risk planning, identify high-risk activities early, and embed safety into crew planning and daily readiness Monitor and resolve field issues proactively, maintaining alignment between estimate, plan, and execution Track labor productivity and costs, identify variances, and implement corrective actions to protect schedule and margin Supervise, mentor, and develop team members to build the next generation of self-perform leaders Serve as the key interface between self-perform teams, GC operations, and project stakeholders, ensuring alignment and scope clarity Why You’ll Be Successful You’re not a spectator, you’re an operator. You lead with influence more than authority, thrive on solving complex challenges, and believe in building high-performing teams that win together. What You Bring: Bachelor’s degree in Construction Management, Engineering, or related field (or equivalent field experience) 10+ years of experience in commercial construction, preferably with self-perform operations Proven ability to manage complex scopes, labor productivity, and cost performance Strong relationship-building skills with owners, architects, field teams, and trade partners Commitment to a safety-first culture and disciplined execution in the field Proficiency in construction software (e.g., Procore, scheduling tools) a plus Safety certifications (OSHA 30, First Aid/CPR) preferred Note: Absher is a Federal Contractor. All job offers are contingent upon successful completion of a background check and drug screen. Salary offers are typically made between the entry and midpoint of the range and are based on factors such as experience, education, and internal equity. Pay Transparency $120,000—$150,000 USD Background Check & Pre-Employment Screening All offers of employment are contingent upon successful completion of a pre-employment background check and drug screening. Background checks may include verification of employment history, education, criminal records, and references. For positions with access to company financial accounts or credit card programs, a credit history check may also be conducted. All screening is conducted in compliance with the Fair Credit Reporting Act (FCRA) and applicable state and local laws. Candidates will be asked to provide written consent prior to any screening. If results include information that may affect a hiring decision, candidates will have the opportunity to review and respond to the findings before a final decision is made. Absher Construction is an equal opportunity employer. Background check results are evaluated in context and do not automatically disqualify applicants. Absher’s Commitment: Our Pledge to EEOC At Absher, we are committed to building a culture where everyone can thrive. We welcome diverse voices, perspectives, and experiences and we believe our work is stronger because of them. No employee or applicant will face discrimination based on race, color, national origin, religion, age, gender identity, sexual orientation, disability, veteran status, or any other protected class. Notice to Staffing Agencies Please note: We are not accepting unsolicited resumes or inquiries from staffing agencies at this time. Absher employees are not authorized to bind the company to any third-party recruitment agreements.", "summaryDescription" : "Concrete Project Manager - Self Perform Team at Absher Construction. Skills: Self-perform operations, Project execution, Field leadership. Lead project execution. Ensure successful delivery", "postedDate" : "2026-06-13T21:57:21.788", "createdAt" : "2026-06-13T21:57:21.788", "lastUpdated" : "2026-06-15T11:13:44.031", "ingestTimestamp" : "2026-06-13T21:57:21.788", "mongoId" : "6a2c7b7a74d8ee00a0949cbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cost performance", "Labor productivity", "Leadership", "Mentoring", "Self-perform operations", "Project execution", "Field leadership", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Planning", "Scheduling", "Change management", "Closeout", "Commercial construction", "OSHA 30", "First Aid/CPR" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cda0c74d8ee00a0a4a9b5", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T11:49:44.931", "fingerprint" : "add24fec937a4f8defdf567855dd6ba967680b17d2243b1d76feb19257d8095e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003527", "externalId" : "8003527", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Measurement strategy", "Client advising", "Data analysis", "Research studies", "Campaign analysis", "Best practices", "Playbook creation" ], "hardSkillsList" : [ "Measurement", "Data analysis", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift" ], "hardSkills" : [ { "name" : "Measurement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Foot traffic", "level" : "intermediate" }, { "name" : "Conversion lift", "level" : "intermediate" } ], "majorSkills" : "Measurement, Data analysis, Client advising", "majorSkillsList" : [ "Measurement", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage research process, Deliver research results, Advocate measurement solutions, Implement measurement solutions, Present research results, Provide insights, Provide recommendations, Conduct in-depth analyses, Evaluate campaign tactics, Create best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore AI applications", "teamCollaboration" : "Internal sales teams; Account management teams; Sales teams; Product teams", "domainKnowledge" : "Measurement landscape; Lift testing; Incrementality testing; Attribution; Foot traffic; Conversion lift; Emerging trends", "domainList" : [ "measurement-landscape", "lift-testing", "incrementality-testing", "attribution", "foot-traffic", "conversion-lift", "emerging-trends" ], "domainSpecificKnowledge" : [ "Measurement landscape", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Emerging trends" ], "toolProficiency" : [ "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Present insights; Present recommendations; Client presentations", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "In-person events, Team building exercises", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's or Master's degree, 0-2 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement, Data analysis, Client advising. Lead measurement research studies. Manage research process", "postedDate" : "2026-06-13T22:27:41.763", "createdAt" : "2026-06-13T22:27:41.763", "lastUpdated" : "2026-06-15T11:49:44.931", "ingestTimestamp" : "2026-06-13T22:27:41.763", "mongoId" : "6a2cda0c74d8ee00a0a4a9b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Measurement", "Data analysis", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Client advising", "Measurement strategy", "Research studies", "Campaign analysis", "Best practices", "Playbook creation", "Measurement landscape", "Emerging trends", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "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" : "6a305382f292fd229cf132e2", "title" : "Target Fabrication and Materials Characterization Technologist", "company" : "Lawrence Livermore National Laboratory", "industry" : "Research", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technologist in Livermore, CA, adjusted for the technology industry and a large research laboratory." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T08:25:55.648", "fingerprint" : "94cfd22866443072a4e0843745762b72eaba13af372e6628eab682a63e20a0f5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013618337-target-fabrication-and-materials-characterization-technologist-", "externalId" : "3743990013618337", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We are seeking a Laboratory Technologist to support target fabrication, precision component assembly, metallography, sample preparation, and microscopy within the Materials Science Division’s (MSD) Materials Characterization Center (MCC). You will perform a range of moderate to complex work in support of multiple LLNL programs and principal investigators, including activities in the National Ignition Facility (NIF) HiZ Target Fabrication Laboratory. The work includes fabrication, metrology, characterization, and assembly of macro- to micro-scale precision engineered components and one-of-a-kind samples. Responsibilities include operation of computer-controlled and manually operated assembly stations, dimensional inspection using microscopes and optical coordinate measuring machines, preparation and installation of thin films into components or subassemblies, and execution of multi-step target subassembly and base assembly procedures. The role will also involve work with hazardous materials, including radioactive materials and beryllium, performed within containment enclosures such as inert-atmosphere gloveboxes and fume hoods. The position supports timely delivery of high-quality results, clear documentation, and strong customer engagement within a collaborative R&D environment. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either the 504.2 or 504.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level. You will * Perform moderately complex to complex target fabrication, precision assembly, metallography, and materials characterization activities, including sample preparation, polishing, and optical microscopy. * Utilize microscopes and optical coordinate measuring machines to perform dimensional inspection and metrology of precision components * Operate computer-controlled and manually operated assembly stations and other laboratory instrumentation. * Prepare, assemble, and analyze one-of-a-kind samples and components, including hazardous materials such as beryllium and radioactive materials, while following detailed instructions, drawings, and specifications. * Interact effectively with resident staff and other engineering, scientific, technical, and administrative personnel from a variety of organizations. * Maintain a high level of administrative and on-the-job training required for work in hazardous environments, cleanroom settings, and with hazardous materials. * Perform other duties as assigned. Additional job responsibilities at the 504.3 Level * Provide advanced troubleshooting skills and independently identify complex technical problems and implement solutions. * Create safety documents, Standard Operating Procedures (SOPs), and other documentation, including test reports. * Acquire, analyze and may interpret moderately complex data. ## Qualifications * Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship * Associate degree in Chemistry, Materials, Electronics, Engineering or related field; or equivalent combination of education and related experience. * Experience in materials science, sample preparation, target fabrication, precision engineering fabrication, metrology, or related laboratory functions. * Broad understanding of materials science and/or materials engineering concepts, including sample preparation, polishing techniques, and optical microscopy. * Experience with precision engineering materials fabrication, metrology, and assembly of precision components. * Experience operating computers, instrumentation, assembly stations, microscopes, and metrology equipment to collect, analyze, and document scientific results. * Proficiency with Microsoft Office software, including Word, Excel, and PowerPoint. * Strong verbal and written communication skills, including the ability to write and record precise information and interact effectively in a collaborative R&D environment. * Demonstrated ability to work independently and as part of a team. * Ability to read and understand detailed instructions, drawings, specifications, and analytical ability to diagnose and correct operational problems in equipment and tests. Additional qualifications at the 504.3 level * Advanced specialized technical expertise in one or more areas of chemistry, materials science, engineering, or microfabrication. * Ability to troubleshoot complex microfabrication problems. * Significant experience with advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. * Advanced administrative and organizational skills include the use of computers and software such as MS-Word, Excel, PowerPoint, and similar applications. Qualifications we desire * Experience working with hazardous materials, and ability and willingness to work with complex conditions involving gloveboxes, cryogens, or radioactive materials. * Experience with additional materials preparation and characterization tools such hardness testing, electropolishing, ion milling, vacuum coating, white-light interferometry, and density measurements. * Experience with instrument maintenance and design and fabrication of simple fixtures * Experience with scanning electron microscopy techniques, including hands-on SEM operation Pay Range $43.55 - $63.97 Hourly $43.55 - $53.36 Hourly for the 504.2 level $52.23 - $63.97 Hourly for the 504.3 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. ## Additional Information All your information will be kept confidential according to EEO guidelines. Position Information This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow). Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Flexible [Benefits Package](https://www.llnl.gov/join-our-team/culture/benefits) * 401(k) * Relocation Assistance * Education Reimbursement Program Flexible schedules (depending on project needs) * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Target Fabrication and Materials Characterization Technologist at Lawrence Livermore National Laboratory", "postedDate" : "2026-06-15T13:56:35.000", "createdAt" : "2026-06-15T21:56:07.891", "lastUpdated" : "2026-06-16T08:25:55.648", "ingestTimestamp" : "2026-06-15T21:56:07.891", "mongoId" : "6a305382f292fd229cf132e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305342f292fd229cf11fcd", "title" : "Target Fabrication and Materials Characterization Technologist", "company" : "Lawrence Livermore National Laboratory", "industry" : "Research", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline compensation for a Mid-level Technologist in Livermore, CA, adjusted for the technology industry and a large research laboratory setting." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T05:36:01.876", "fingerprint" : "319fd08e3b3d270460d65aadfbd82652afa848d173e2c06b22fa5a7e50a71c20", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013618337-target-fabrication-and-materials-characterization-technologist-", "externalId" : "3743990013618337", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We are seeking a Laboratory Technologist to support target fabrication, precision component assembly, metallography, sample preparation, and microscopy within the Materials Science Division’s (MSD) Materials Characterization Center (MCC). You will perform a range of moderate to complex work in support of multiple LLNL programs and principal investigators, including activities in the National Ignition Facility (NIF) HiZ Target Fabrication Laboratory. The work includes fabrication, metrology, characterization, and assembly of macro- to micro-scale precision engineered components and one-of-a-kind samples. Responsibilities include operation of computer-controlled and manually operated assembly stations, dimensional inspection using microscopes and optical coordinate measuring machines, preparation and installation of thin films into components or subassemblies, and execution of multi-step target subassembly and base assembly procedures. The role will also involve work with hazardous materials, including radioactive materials and beryllium, performed within containment enclosures such as inert-atmosphere gloveboxes and fume hoods. The position supports timely delivery of high-quality results, clear documentation, and strong customer engagement within a collaborative R&D environment. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either the 504.2 or 504.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level. You will * Perform moderately complex to complex target fabrication, precision assembly, metallography, and materials characterization activities, including sample preparation, polishing, and optical microscopy. * Utilize microscopes and optical coordinate measuring machines to perform dimensional inspection and metrology of precision components * Operate computer-controlled and manually operated assembly stations and other laboratory instrumentation. * Prepare, assemble, and analyze one-of-a-kind samples and components, including hazardous materials such as beryllium and radioactive materials, while following detailed instructions, drawings, and specifications. * Interact effectively with resident staff and other engineering, scientific, technical, and administrative personnel from a variety of organizations. * Maintain a high level of administrative and on-the-job training required for work in hazardous environments, cleanroom settings, and with hazardous materials. * Perform other duties as assigned. Additional job responsibilities at the 504.3 Level * Provide advanced troubleshooting skills and independently identify complex technical problems and implement solutions. * Create safety documents, Standard Operating Procedures (SOPs), and other documentation, including test reports. * Acquire, analyze and may interpret moderately complex data. ## Qualifications * Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship * Associate degree in Chemistry, Materials, Electronics, Engineering or related field; or equivalent combination of education and related experience. * Experience in materials science, sample preparation, target fabrication, precision engineering fabrication, metrology, or related laboratory functions. * Broad understanding of materials science and/or materials engineering concepts, including sample preparation, polishing techniques, and optical microscopy. * Experience with precision engineering materials fabrication, metrology, and assembly of precision components. * Experience operating computers, instrumentation, assembly stations, microscopes, and metrology equipment to collect, analyze, and document scientific results. * Proficiency with Microsoft Office software, including Word, Excel, and PowerPoint. * Strong verbal and written communication skills, including the ability to write and record precise information and interact effectively in a collaborative R&D environment. * Demonstrated ability to work independently and as part of a team. * Ability to read and understand detailed instructions, drawings, specifications, and analytical ability to diagnose and correct operational problems in equipment and tests. Additional qualifications at the 504.3 level * Advanced specialized technical expertise in one or more areas of chemistry, materials science, engineering, or microfabrication. * Ability to troubleshoot complex microfabrication problems. * Significant experience with advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. * Advanced administrative and organizational skills include the use of computers and software such as MS-Word, Excel, PowerPoint, and similar applications. Qualifications we desire * Experience working with hazardous materials, and ability and willingness to work with complex conditions involving gloveboxes, cryogens, or radioactive materials. * Experience with additional materials preparation and characterization tools such hardness testing, electropolishing, ion milling, vacuum coating, white-light interferometry, and density measurements. * Experience with instrument maintenance and design and fabrication of simple fixtures * Experience with scanning electron microscopy techniques, including hands-on SEM operation Pay Range $43.55 - $63.97 Hourly $43.55 - $53.36 Hourly for the 504.2 level $52.23 - $63.97 Hourly for the 504.3 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. ## Additional Information All your information will be kept confidential according to EEO guidelines. Position Information This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow). Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Flexible [Benefits Package](https://www.llnl.gov/join-our-team/culture/benefits) * 401(k) * Relocation Assistance * Education Reimbursement Program Flexible schedules (depending on project needs) * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Target Fabrication and Materials Characterization Technologist at Lawrence Livermore National Laboratory", "postedDate" : "2026-06-15T13:56:35.000", "createdAt" : "2026-06-15T21:53:39.721", "lastUpdated" : "2026-06-16T05:36:01.876", "ingestTimestamp" : "2026-06-15T21:53:39.721", "mongoId" : "6a305342f292fd229cf11fcd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68f974d8ee00a09057c3", "title" : "Roof Measurement Technician", "industry" : "Measurements", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Roof Measurement Technician in Manila, Philippines, adjusted for industry and remote work." }, "location" : "Manila Remote", "locations" : [ "Manila Remote" ], "timestamp" : "2026-06-16T06:36:11.167", "fingerprint" : "4467c8b89596ffc085bcbe25e55c8860d3e6542a6edfda2da50a79ece4ec0288", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/firstmate/657d5add-6e8d-49eb-a971-2c995ead51e5/application", "externalId" : "657d5add-6e8d-49eb-a971-2c995ead51e5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Philippines", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Philippines", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Roof mapping", "Roof measurement", "Spatial awareness" ], "hardSkills" : [ { "name" : "Roof mapping", "level" : "intermediate" }, { "name" : "Roof measurement", "level" : "intermediate" }, { "name" : "Spatial awareness", "level" : "intermediate" } ], "majorSkills" : "Roof measurement, Aerial imagery interpretation", "majorSkillsList" : [ "Roof measurement", "Aerial imagery interpretation" ], "coreResponsibilities" : "Trace roof outlines, Create overlays on imagery, Identify roof facets, Identify roof ridges, Identify roof hips, Identify roof valleys, Identify roof pitches, Identify roof penetrations, Build roof models, Configure report outputs, Label roof lines, Label structural features, Follow measurement standards, Follow workflow procedures, Maintain production quality, Meet turnaround expectations, Meet production quotas, Complete projects efficiently", "domainKnowledge" : "Roof structures", "domainList" : [ "roof-structures" ], "domainSpecificKnowledge" : [ "Roof structures" ], "toolProficiency" : [ "Proprietary software", "AI-powered software" ], "documentationSkills" : "Professional report outputs", "outcomesObjectives" : "Meet daily production quotas; Meet weekly production quotas; Maintain accuracy standards; Maintain QA accuracy", "qualificationsBasic" : "Computer proficiency, Ability to learn new software, Reliable computer, High-speed internet connection, Ability to interpret aerial imagery, Recognize structural roof components, Ability to work independently, Clear English communication skills, Comfortable working in production environment", "qualificationsPreferred" : "Experience with architecture, Experience with drafting, Experience with construction, Experience with GIS, Experience with aerial measurements", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are seeking a detail-driven team member to join our remote team and produce accurate roof measurement reports. In this role, you will use our AI-powered software to trace and map roof structures using high-resolution aerial and satellite imagery. This is a full-time remote position suited for individuals with strong attention to detail, spatial awareness, and the ability to work independently in a fast-paced production environment. What You Will Do Roof Mapping & Measurement - Use proprietary software to trace roof outlines and create precise overlays on 2D aerial imagery - Identify roof facets, ridges, hips, valleys, pitches, and penetrations - Build accurate roof models and configure professional report outputs - Ensure accurate labeling of roof lines and structural features Accuracy & Consistency - Follow established measurement standards and workflow procedures - Maintain high production quality while meeting turnaround expectations - Consistently meet daily and weekly production quotas - Complete projects efficiently while maintaining accuracy standards - Work within a point-based production system tied to project complexity and completion speed Requirements - Strong computer proficiency and ability to learn new software quickly - Exceptional attention to detail and spatial awareness - Reliable computer and high-speed internet connection - Ability to interpret aerial imagery and recognize structural roof components - Experience with architecture, drafting, construction, GIS, or aerial measurements is an asset - Ability to work independently in a remote environment - Clear English communication skills - Comfortable working in a production-focused environment with measurable quality and volume expectations Schedule & Training - Full-time position with 10-hour shifts - Paid training Compensation - Base pay - Additional production-based incentives tied to project complexity and completion speed - Quality performance bonuses for maintaining strong QA accuracy - Faster completion times and higher-complexity projects earn increased point payouts - Opportunities to earn additional “rush bonuses” during high-volume production periods - Tiered technician levels with increased compensation and access to more advanced project types based on performance and quality standards Growth Opportunities High-performing technicians may qualify for advancement opportunities including: - Lead Technicians - Quality Assurance Technicians - Standard and Senior Technician roles with increased earning potential - Additional responsibilities in training, QA review, and production leadership", "summaryDescription" : "Roof Measurement Technician. Skills: Roof measurement, Aerial imagery interpretation. Trace roof outlines. Create overlays on imagery", "createdAt" : "2026-06-14T20:11:52.624", "lastUpdated" : "2026-06-16T06:36:11.167", "ingestTimestamp" : "2026-06-14T20:11:52.624", "mongoId" : "6a2c68f974d8ee00a09057c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Roof mapping", "Roof measurement", "Spatial awareness", "Aerial imagery interpretation", "Roof structures", "Proprietary software", "AI-powered software" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c8d6f74d8ee00a0978f7b", "title" : "Measurement Partnerships Associate", "company" : "Ibotta", "industry" : "Business - Non Sales", "salary" : { "min" : 90000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "timestamp" : "2026-06-16T02:12:00.009", "fingerprint" : "425e357ae39858fa45d14ab5d4721777b204c1afee286eedad953e440c207d10", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/2ab7d3bf-232b-4f00-8341-ab151bf37adc/application", "externalId" : "2ab7d3bf-232b-4f00-8341-ab151bf37adc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is seeking a Measurement Partnerships Associate to join our Business Development team and contribute to our mission to Make Every Purchase Rewarding. Ibotta is fundamentally changing how the world's leading brands, retailers, and financial institutions think about digital marketing and consumer rewards. As the Measurement Partnerships Associate, you are the operational engine behind the strategic measurement partnerships — the person who makes sure that every study we commit to actually gets off the ground correctly, runs cleanly, and delivers results that matter to our CPG clients. This role sits at the intersection of measurement rigor and client service. You're equally comfortable in a meeting presenting sales lift results to brand managers and in a spreadsheet validating campaign specs the day before a study launches. You know enough about media measurement to hold your own with Circana or Nielsen counterparts, and enough about CPG marketing and analytics to make the numbers mean something to the people who need to act on them. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. Candidates must live in the United States. What you will be doing: - Serve as the day-to-day operational liaison with third-party measurement partners (e.g., Circana, ABCS, other measurement third-party partner vendors). - Track study timelines, manage data deliverable deadlines, route questions to the right internal stakeholders, and escalate when needed. - Own the end-to-end campaign study intake process — collect and complete measurement spec forms, validate all campaign details (flight dates, products and UPCs, targeting parameters, offer details, audience definitions) to ensure measurement studies are properly set up, executed, and delivered. - Work cross-functionally across Sales, Data Science, Client Analytics, Technology, Legal, Finance, and Marketing. - Present campaign measurement results — sales lift, marketing mix model contributions, and media performance KPIs — to advertiser clients and measurement partner contacts. Build the decks, own the narrative, and run the meeting. - Analyze and interpret campaign performance data into clear, actionable insights and stories. - Support Measurement Partnerships in executing the broader measurement partnership strategy, including working to streamline data delivery processes to measurement vendors, identifying friction points, improving file specs, and workflows. - Maintain subject matter expertise in media measurement methodologies, ad tech concepts (audiences, viewability, reach/frequency, awareness), and CPG measurement norms. - Identify process improvements in how measurement studies are initiated, tracked, and delivered — and implement them. - Travel occasionally to industry events or client meetings (~once per quarter). - Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere. What We Are Looking For: - 2–5 years of experience in CPG analytics, media measurement, marketing or promotional analytics, or a closely related field. - Experience working with CPG data sources — syndicated data (IRI/Circana, Nielsen), retail POS, household and receipt panel data. - Understanding of sales lift methodology, marketing mix modeling (MMM) concepts, attribution, and media measurement KPIs. - Familiarity with ad tech and digital media concepts: audience targeting, viewability, reach/frequency, awareness measurement. - Working knowledge of data transfer processes — SFTP, API-based integrations, data file specifications. You don't need to build them; you need to understand how they work. - Exposure to SQL, R or Python for data manipulation is a plus. - Proficiency in G Suite; experience with Lookr, Tableau, Power BI, or similar visualization tools is a plus. - Exceptional attention to detail and a compulsion to catch errors before they become problems. - Proven ability to manage multiple concurrent projects with competing deadlines. - Strong client-facing communication and presentation skills — you're comfortable in front of brand managers and measurement partner contacts. - Demonstrated ability to synthesize data into clear, compelling narratives for both technical and non-technical audiences. - Ability to work cross-functionally and influence outcomes without direct authority. About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $90,000-$100,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Measurement Partnerships Associate at Ibotta", "createdAt" : "2026-06-14T18:49:27.603", "lastUpdated" : "2026-06-16T02:12:00.009", "ingestTimestamp" : "2026-06-14T18:49:27.603", "mongoId" : "6a2c8d6f74d8ee00a0978f7b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307734f292fd229c02382c", "title" : "Coordinator, Sample Licensing", "company" : "Sony Music Global", "industry" : "Media", "salary" : { "min" : 50000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States, New York, New York", "locations" : [ "United States", "New York", "New York" ], "timestamp" : "2026-06-16T12:10:11.341", "fingerprint" : "a4eb142f4d31ace30c0daadb6269b65970492bdb66a9e7b886a5e3201574e65f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sonymusicentertainment/jobs/8588801002", "externalId" : "8588801002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 1, "professionalSkills" : [ "Business affairs", "Licensing" ], "hardSkillsList" : [ "Sample licensing", "Copyright law", "Clearance processes" ], "hardSkills" : [ { "name" : "Sample licensing", "level" : "intermediate" }, { "name" : "Copyright law", "level" : "intermediate" }, { "name" : "Clearance processes", "level" : "intermediate" } ], "majorSkills" : "Sample licensing, Music licensing, Copyright law", "majorSkillsList" : [ "Sample licensing", "Music licensing", "Copyright law" ], "coreResponsibilities" : "Assist in request, negotiation and administration of sample, Assist in tracking upcoming releases related to samples, Assist in tracking other third-party materials, Collaborate with cross-functional teams to gather information, Gather information related to sample clearances, Maintain and update databases, Ensure all information is current and accurate, Support preparation and distribution of clearance status reports, Provide administrative support in coordinating internal approvals, Provide administrative support in coordinating external approvals, Coordinate sample clearances", "teamCollaboration" : "Cross-functional teams; Relevant teams; Royalties team", "domainKnowledge" : "Music licensing; Copyright law; Clearance processes", "domainList" : [ "music-licensing", "copyright-law", "clearance-processes" ], "domainSpecificKnowledge" : [ "Music licensing", "Copyright law", "Clearance processes" ], "toolProficiency" : [ "Microsoft Office Suite" ], "qualificationsBasic" : "1 year of experience in business affairs, licensing, or related role, Basic understanding of music licensing, Basic understanding of copyright law, Basic understanding of clearance processes, Organizational skills, Proficiency in Microsoft Office Suite", "qualificationsPreferred" : "Familiarity with music industry software and databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. The Coordinator, Sample Licensing role will provide essential support in managing the day-to-day licensing matters for SME. This role involves assisting in the request, negotiation, drafting, and administration of sample licensing agreements on behalf of SME’s US labels (Arista, Columbia, Epic, RCA). The coordinator will also support the review and administration of requests by 3rd parties sampling SME’s catalog. What you'll do: Assist in the request, negotiation and administration of sample licensing requests on behalf of SME labels. Assist in tracking upcoming releases related to samples and other third-party materials. Collaborate with cross-functional teams to gather the necessary information related to sample clearances. Maintain and update databases, ensuring all information is current and accurate. Support the preparation and distribution of clearance status reports to relevant teams, including royalties and Sony Music’s document retention system. Provide administrative support in coordinating internal and external approvals related to sample clearances. Who you are: Minimum of 1 year of experience in business affairs, licensing, or a related role within the music or entertainment industry. Basic understanding of music licensing, copyright law, and clearance processes. Strong organizational skills and attention to detail. Ability to work effectively in a fast-paced, dynamic environment. Proficiency in Microsoft Office Suite and familiarity with music industry software and databases. What we give you: You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans Investment in your professional growth and development enabling you to thrive in our vibrant community. The space to accelerate progress, positively disrupt, and create what happens next Time off for a winter recess Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law. The anticipated annual base salary does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. New York Pay Range $50,000—$55,000 USD", "summaryDescription" : "Coordinator, Sample Licensing at Sony Music Global. Skills: Sample licensing, Music licensing, Copyright law. Assist in request, negotiation and administration of sample. Assist in tracking upcoming releases related to samples", "postedDate" : "2026-06-16T01:19:50.099", "createdAt" : "2026-06-16T01:19:50.099", "lastUpdated" : "2026-06-16T12:10:11.341", "ingestTimestamp" : "2026-06-16T01:19:50.099", "mongoId" : "6a307734f292fd229c02382c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 55000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Sample licensing", "Copyright law", "Clearance processes", "Music licensing", "Business affairs", "Licensing", "Microsoft Office Suite" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7fc374d8ee00a0956393", "title" : "Ad Measurement Lead", "company" : "Roku", "industry" : "Media", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Ad Measurement position in New York, adjusted for the technology industry and company size." }, "location" : "New York, New York, U.S.", "locations" : [ "New York", "New York", "U.S." ], "timestamp" : "2026-06-15T05:18:08.070", "fingerprint" : "4d624553fb85e819bf6e749d37edc55e38e077cb3cb837159f4f3fffb3952ca4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.weareroku.com/jobs/8000996?gh_jid=8000996", "externalId" : "8000996", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Client management" ], "hardSkillsList" : [ "Quantitative studies", "Qualitative studies", "Meta-analyses" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Quantitative studies", "level" : "intermediate" }, { "name" : "Qualitative studies", "level" : "intermediate" }, { "name" : "Meta-analyses", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Ad measurement, Research strategy, Analytics, AI tools", "majorSkillsList" : [ "Ad measurement", "Research strategy", "Analytics", "AI tools" ], "coreResponsibilities" : "Consult advertisers and agencies, Create measurement plans, Test advertising effectiveness, Test advertising outcomes, Cultivate strategic relationships, Lead quantitative studies, Lead qualitative studies, Scope study feasibility, Perform data analysis, Generate reports, Present results internally, Present results externally, Manage relationships with providers, Work with internal stakeholders, Partner closely with marketing, Partner closely with sales, Partner closely with client service, Partner closely with product, Partner closely with partnerships, Execute against strategic initiatives, Develop scalable solutions, Conduct meta-analyses, Create case studies, Educate clients, Educate the market, Educate internal teams, Challenge existing measurement solutions, Improve existing measurement solutions, Provide guidance to junior teammates, Provide mentorship to junior teammates, Share knowledge with junior teammates, Train junior teammates", "teamCollaboration" : "Collaborate with peers; Partner with colleagues; Partner with external partners; Agency analytics team; Internal stakeholders; Marketing; Sales; Client service; Product; Partnerships; Product teams; Analytics teams", "domainKnowledge" : "Enterprise verticals; Political verticals; Advocacy verticals; Government verticals; Independent verticals; TV advertising", "domainList" : [ "enterprise-verticals", "political-verticals", "advocacy-verticals", "government-verticals", "independent-verticals", "tv-advertising" ], "domainSpecificKnowledge" : [ "Enterprise verticals", "Political verticals", "Advocacy verticals", "Government verticals", "Independent verticals", "TV advertising" ], "communicationSkills" : "Client presentations", "documentationSkills" : "Create case studies", "continuousLearning" : "Develop proactive learning agenda", "innovationCreativity" : "Invent new solutions", "problemSolvingSkills" : "Problem-solving skills; Creatively problem solve; Invent new solutions", "qualificationsBasic" : "Ad measurement and research strategy, Analytics, research, and measurement projects, Data analysis, Report generation, Presenting results, Manage third-party measurement providers, Onboard and integrate new providers, Develop proactive learning agenda, AI tools and agents proficiency", "qualificationsPreferred" : "Passion for political and advocacy landscape", "workSiteFlexibility" : "Onsite", "rawDescription" : "Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Role Roku pioneered streaming to the TV and continues to innovate and lead the industry. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. While we are well-positioned to help shape the future of television - including TV advertising - around the world, continued success relies on how well we show our advertisers the value we just delivered. Roku is seeking an Ad Measurement Lead to join our growing Ad Measurement team. You will play an integral role in building ad measurement and research strategy with a focus on the Enterprise, Political, Advocacy & Government (PAG) and Independent verticals. This includes developing and executing against a wide range of analytics, research, and measurement projects to help advertisers succeed on Roku. You will work to creatively problem solve and understand business objectives and challenges, while having personal comfort with data, and an entrepreneurial spirit to take ownership of solving challenges for internal and external stakeholders. Our environment is fast-paced, requiring the ability to work autonomously with minimal supervision in an ever-changing environment. You will need to demonstrate excellent problem-solving skills and invent new solutions to address business needs. The right mix of organizational and communication skills is key to success. Attention to detail and a proven ability to manage priorities are also essential. You will be expected to build complete, end-to-end process for new solutions, from scoping to repeatability. We are looking for people ready to lead by example, collaborate with peers, and partner with colleagues and external partners. The ideal candidate combines deep expertise in ad measurement methodologies with the ability to translate complex data insights into actionable recommendations, and brings strong client management skills to every engagement. A passion for the political and advocacy landscape is a plus. You will play a key role in developing a proactive learning agenda to elevate clients' measurement strategy and representing Roku's measurement capabilities at client presentations. An AI-first mindset is essential for success in this role. Candidates must demonstrate proficiency in using AI tools and agents to drive efficiency and scale across measurement workflows – from campaign analysis and insight generation to process automation. For New York Only - The estimated annual salary for this position is between $90,500-121,500 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you'll be doing Consult with advertisers and agencies to create measurement plans that test advertising effectiveness and outcomes. Cultivate strategic relationships with the agency analytics team. Independently lead quantitative and qualitative studies from start-to-finish. This includes scoping study feasibility, performing data analysis, generating reports and presenting results both internally and externally. Manage relationships with third-party measurement providers and work with internal stakeholders to onboard and integrate new providers. Partner closely with marketing, sales, client service, product, partnerships and more to execute against strategic initiatives and develop scalable solutions to industry challenges. Conduct meta-analyses and create case studies utilizing third party measurement data to educate clients, the market, and internal product and analytics teams.   Continuously challenge and improve our array of existing measurement solutions. Provide guidance and mentorship to junior teammates through knowledge sharing and training. We're excited if you have 3-7 years' experience in campaign analytics, attribution, measurement, or research. Media experience (TV, video, digital) is preferred. Experience in designing conversion studies leveraging client 1P data, including familiarity with pixel-based attribution, CAPI and MMP integration, is preferred. Experience in ad effectiveness studies with third-party measurement vendors such as Nielsen, comScore, iSpot, Experian, Kantar, InMarket, etc is preferred. Experience in A/B testing, incrementality measurement, MTA (Multi-Touch Attribution), MMM (Media Mix Model) is preferred. Experience in leveraging AI for analysis, productivity and workflow automation. Ability to run analyses utilizing SQL, Excel, Tableau or similar tools. Ability to work with ambiguous data to create insights that reflect strong business judgment. Speak comfortably in a variety of settings including one-on-one and in front of large group with the ability to adapt communication style for different audiences. Present comfortably to senior level clients independently. Ability to collaborate with cross-functional teams and build close relationships within and across teams. Ability to work independently with agility and prioritize effectively with a strong sense of urgency. Experience working in the measurement space for major political advertisers, including pulling political insights, developing thought leadership and executing campaign measurement is preferred. #LI-KR3 Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.", "summaryDescription" : "Ad Measurement Lead at Roku. Skills: Ad measurement, Research strategy, Analytics, AI tools. Consult advertisers and agencies. Create measurement plans", "postedDate" : "2026-06-14T03:12:45.031", "createdAt" : "2026-06-14T03:12:45.031", "lastUpdated" : "2026-06-15T05:18:08.070", "ingestTimestamp" : "2026-06-14T03:12:45.031", "mongoId" : "6a2c7fc374d8ee00a0956393", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative studies", "Qualitative studies", "Meta-analyses", "Leadership", "Mentoring", "Ad measurement", "Research strategy", "Analytics", "AI tools", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Client management", "Enterprise verticals", "Political verticals", "Advocacy verticals", "Government verticals", "Independent verticals", "TV advertising" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e1ce260f92cbf8e927", "title" : "Economist II, Marketing Measurements, Marketing Measurement and Performance Support (MAPS)", "company" : "Amazon.com Services LLC", "industry" : "Economics, Economist, consumer engagement", "salary" : { "min" : 136000.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T07:20:47.584", "fingerprint" : "7dc1ec5cea19ecd1b429d1d59ffd14af3b4fb2ec6be397bc03769f5e4e3593e4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101078/apply", "externalId" : "fc7ce61a-c034-4854-bc5c-3c146e33e3af", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "R, Stata, Matlab, SAS", "professionalSkills" : [ "Econometric research", "Structural models", "Marketing measurement" ], "hardSkillsList" : [ "Causal inference", "Regression analysis", "Time-series analysis", "A/B testing" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "majorSkills" : "Econometrics, Causal inference, Marketing measurement", "majorSkillsList" : [ "Econometrics", "Causal inference", "Marketing measurement" ], "coreResponsibilities" : "Develop measurement models, Develop optimization models, Collaborate with scientists, Collaborate with businesses, Collaborate with marketers, Collaborate with software teams, Solve key challenges, Measure incremental impact, Estimate customer actions, Scale measurement solutions, Study measurement systems, Design measurement systems, Build measurement systems, Develop MMM models, Combine econometric techniques, Deliver incrementality estimates, Improve marketing optimization, Lead problem solving, Guide development of frameworks, Write code, Interface between teams, Contribute to advancing technology, Coach junior scientists, Guide junior scientists", "teamCollaboration" : "Data scientists; Applied scientists; Economists; Software teams; Business stakeholders", "domainKnowledge" : "Marketing measurement; Causal inference models; Omni-channel effectiveness; Marketing portfolios; Customer actions; WW marketplaces; Marketing-Mix-Media (MMM); Structural econometrics; Reduced form econometrics; B2C environment; B2B environment", "domainList" : [ "marketing-measurement", "causal-inference-models", "omni-channel-effectiveness", "marketing-portfolios", "customer-actions", "ww-marketplaces", "marketing-mix-media-mmm", "structural-econometrics", "reduced-form-econometrics", "b2c-environment", "b2b-environment" ], "domainSpecificKnowledge" : [ "Marketing measurement", "Causal inference models", "Omni-channel effectiveness", "Marketing portfolios", "Customer actions", "WW marketplaces", "Marketing-Mix-Media (MMM)", "Structural econometrics", "Reduced form econometrics", "B2C environment", "B2B environment" ], "innovationCreativity" : "Develop innovative models; Hands-on innovator; Advancing marketing measurement technology", "problemSolvingSkills" : "Analytical problem solver; Diving into data; Investigations", "outcomesObjectives" : "Drive marketing investment decisions; Improve marketing portfolio optimization; Focus on measurable impact", "qualificationsBasic" : "PhD in Economics, Knowledge of statistical software", "qualificationsPreferred" : "2+ years industry experience, Experience with large datasets, Experience with competition analysis, Experience with marketing strategies, Experience with advertising, Experience with game theory", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Marketing Measurement & Performance Support (MAPS) organization is looking for a experienced Economist interested in solving one of the most challenging business problems in marketing measurement and developing innovative structural causal models. Working with our team of data scientists, applied scientists, and economists, this economist will help redefine scalable marketing measurement at Amazon and its subsidiaries. The MAPS organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The MAPS team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s Stores suit of businesses. MAPS applies industry leading causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon. This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As an Economist, you will be responsible for the design and development of the state-of-the-art measurement and optimization models, while collaborating with other scientists, businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, estimating the impact on long term inter-related customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, economists and software developers in the business. Key job responsibilities In this role, you will be a technical leader in Econometric research with significant scope, impact, and high visibility. You will own developing the next generation of Marketing-Mix-Media (MMM) models combining structural and reduced form econometric techniques. Your solution will deliver to business leaders accurate and actionable incrementality estimates to improve their marketing portfolio optimization. As a successful Economist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are proficient in structural models to solve business problems. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will also coach and guide junior scientists in the team to grow the team’s talent and scale the impact of your work. Basic Qualifications: - PhD in Economics or in related field - Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS Preferred Qualifications: - 2+ years of industry, consulting, government, or academic research experience - Experience with handling of large datasets - Experience conducting analysis of competition, marketing strategies, advertising, and game theory Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Economist II, Marketing Measurements, Marketing Measurement and Performance Support (MAPS) at Amazon.com Services LLC. Skills: Econometrics, Causal inference, Marketing measurement. Develop measurement models. Develop optimization models", "postedDate" : "2026-06-13T19:33:36.859", "createdAt" : "2026-06-13T19:33:36.859", "lastUpdated" : "2026-06-15T07:20:47.584", "ingestTimestamp" : "2026-06-13T19:33:36.859", "mongoId" : "68e0a7e1ce260f92cbf8e927", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101078/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 212800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Regression analysis", "Time-series analysis", "A/B testing", "Econometrics", "Marketing measurement", "Econometric research", "Structural models", "Causal inference models", "Omni-channel effectiveness", "Marketing portfolios", "Customer actions", "WW marketplaces", "Marketing-Mix-Media (MMM)", "Structural econometrics", "Reduced form econometrics", "B2C environment", "B2B environment" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e8d74d8ee00a08e4dac", "title" : "Measurement Lead", "company" : "Brandtech+", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Lead Measurement role in the Marketing industry, adjusted for a remote position in India." }, "location" : "BTG+", "locations" : [ "BTG+" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-15T00:15:45.582", "fingerprint" : "02468ed387385c6187f767d0266a611d084dd039b607d85db0624c98ba6d4699", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/brandtechplus/jobs/7898606", "externalId" : "7898606", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker Studio, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Performance reporting", "Operational data", "Financial metrics", "KPI tracking", "Data governance", "Data quality", "Data management", "Reporting accuracy", "Reporting structures", "Data validation", "Performance analysis", "Resource planning", "Workflow optimisation", "Reporting automation", "Reporting accessibility", "Reporting usability", "Client reporting", "Business reviews" ], "hardSkillsList" : [ "Analytical capability", "Operational understanding", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Critical thinking", "Adaptability", "Negotiation", "Mentoring" ], "hardSkills" : [ { "name" : "Analytical capability", "level" : "intermediate" }, { "name" : "Operational understanding", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" }, { "name" : "Adaptability" }, { "name" : "Negotiation" }, { "name" : "Mentoring" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "coreResponsibilities" : "Support development of reporting frameworks, Evolve reporting frameworks, Establish consistent tracking approaches, Standardise reporting structures, Standardise KPI definitions, Standardise data taxonomies, Align reporting outputs, Own data integrity, Maintain data integrity, Implement data validation processes, Implement quality assurance processes, Implement reporting accuracy processes, Identify inconsistencies, Identify gaps, Identify risks, Resolve reporting issues, Promote best practice data management, Promote best practice reporting governance, Build regular reporting outputs, Maintain regular reporting outputs, Translate complex datasets, Support governance forums, Support performance reviews, Support client reporting, Analyse trends, Analyse patterns, Work closely with delivery teams, Work closely with operations teams, Work closely with finance teams, Improve visibility across workflows, Improve visibility across resource planning, Improve visibility across performance tracking, Support forecasting, Support planning, Support performance analysis, Identify operational inefficiencies, Identify optimisation opportunities, Contribute to scalable reporting solutions, Contribute to automated workflows, Support integration across reporting tools, Support integration across delivery systems, Support integration across finance platforms, Support integration across workflow trackers, Improve reporting accessibility, Improve reporting automation, Improve reporting usability, Streamline reporting processes, Reduce manual effort, Encourage consistent adoption of measurement frameworks, Encourage consistent adoption of reporting best practices, Partner with internal stakeholders, Understand reporting needs, Understand reporting priorities, Support client-facing reporting requirements, Present clear data, Present accurate data, Present transparent data, Shape performance narratives, Shape reporting materials, Build working relationships, Ensure alignment, Ensure consistency", "teamCollaboration" : "Global teams; Regional teams; Delivery teams; Operations teams; Finance teams; Strategy teams; Internal stakeholders; Client-facing reporting", "domainKnowledge" : "AI technology; Cloud-native architecture; Data governance; Performance metrics; Financial performance", "domainList" : [ "ai-technology", "cloud-native-architecture", "data-governance", "performance-metrics", "financial-performance" ], "domainSpecificKnowledge" : [ "AI technology", "Cloud-native architecture", "Data governance", "Performance metrics", "Financial performance" ], "toolProficiency" : [ "Power BI", "Tableau", "Looker Studio", "Excel" ], "communicationSkills" : "Stakeholder management; Clear communication; Meaningful insight; Practical recommendations; Clear reporting; Concise reporting; Commercially relevant insight; Performance narratives; Data presentation", "continuousLearning" : "Always learning and listening", "innovationCreativity" : "Spark creativity; Innovative results", "problemSolvingSkills" : "Analytical capability; Problem-solving skills; Interpret complex information; Translate complexity", "outcomesObjectives" : "Demonstrate value to clients; Support effective decision-making", "qualificationsBasic" : "5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles, Advanced Excel skills, Experience using reporting and visualisation tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. We partner with over 300 clients in 40+ countries and counting. Our focus is to connect clients with high-quality solutions, talent and ambitious opportunities worldwide.  As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Measurement Lead Location: Remote working until further notice ABOUT THE ROLE: Brandtech+ is evolving how data is structured, governed, and utilised across global client accounts. The Measurement Lead plays a key role in shaping how delivery, operational, financial, and performance data are captured, connected, interpreted, and communicated across The Mix. This role is responsible for driving consistency, accuracy, and transparency across reporting and measurement frameworks, ensuring stakeholders have access to reliable, actionable insights that support effective decision-making and demonstrate value to clients. Working closely with global and regional teams across delivery, operations, finance, and strategy, the Measurement Lead will support the development of scalable reporting structures, robust data governance processes, and integrated performance views across projects, people, finance, and operational metrics. The role is suited to someone who combines strong analytical capability with operational understanding and excellent stakeholder management skills. The successful candidate will be comfortable working across multiple data sources and business functions, translating complexity into clear reporting, meaningful insight, and practical recommendations. This is a hands-on role within a fast-moving global environment, requiring a proactive and detail-oriented individual who can balance strategic thinking with day-to-day execution and continuous improvement. WHAT YOU WILL BE DOING: Measurement & Reporting Frameworks Support the development and ongoing evolution of reporting and measurement frameworks across The Mix. Establish consistent approaches to tracking delivery, operational, financial, and performance metrics. Help standardise reporting structures, KPI definitions, and data taxonomies across markets and teams. Ensure reporting outputs align to client objectives, business priorities, and operational requirements. Data Governance & Quality Control Own and maintain data integrity across reporting inputs and outputs. Develop and implement processes for data validation, quality assurance, and reporting accuracy. Identify inconsistencies, gaps, and risks within reporting structures and work with stakeholders to resolve them. Promote best practice approaches to data management and reporting governance across teams. Performance Reporting & Insight Build and maintain regular reporting outputs for global and regional stakeholders. Translate complex datasets into clear, concise, and commercially relevant insight. Support governance forums, performance reviews, and client reporting through accurate and meaningful performance narratives. Analyse trends and patterns across delivery, utilisation, efficiency, and financial performance metrics. Operational & Commercial Support Work closely with delivery, operations, and finance teams to improve visibility across workflows, resource planning, and performance tracking. Support forecasting, planning, and performance analysis activities through reliable reporting and structured insight. Assist in identifying operational inefficiencies and opportunities for optimisation through data analysis. Contribute to the development of scalable reporting solutions and automated workflows where appropriate. Tools, Systems & Process Improvement Support integration and alignment across reporting tools, delivery systems, finance platforms, and workflow trackers. Help improve reporting accessibility, automation, and usability across teams. Partner with operational and technology stakeholders to streamline reporting processes and reduce manual effort. Encourage consistent adoption of measurement frameworks and reporting best practices globally. Stakeholder & Client Collaboration Partner with internal stakeholders across delivery, strategy, finance, and operations to understand reporting needs and priorities. Support client-facing reporting requirements with clear, accurate, and transparent data presentation. Help shape performance narratives and reporting materials for governance meetings and business reviews. Build strong working relationships across global and regional teams to ensure alignment and consistency. WHAT YOU WILL NEED TO BE GREAT AT THIS ROLE: 5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles within agencies, marketing operations, or in-house environments. Strong analytical and problem-solving skills, with the ability to interpret and communicate complex information clearly. Experience working with performance reporting, operational data, financial metrics, and KPI tracking. Advanced Excel skills and confidence working with large or complex datasets. Experience using reporting and visualisation tools such as Power BI, Tableau, Looker Studio, or equivalent platforms. Strong organisational skills with high attention to detail and accuracy. Ability to manage multiple priorities and stakeholders within fast-paced environments. Excellent communication and stakeholder management skills. A collaborative and proactive approach, with a strong focus on continuous improvement. Req ID - 17490 #LI-DJ1 #LI-REMOTE #LI-Senior #BTG+ Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  Brandtech+, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.  Brandtech+ has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.'", "summaryDescription" : "Measurement Lead at Brandtech+. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Support development of reporting frameworks. Evolve reporting frameworks", "postedDate" : "2026-06-12T22:08:19.448", "createdAt" : "2026-06-12T22:08:19.448", "lastUpdated" : "2026-06-15T00:15:45.582", "ingestTimestamp" : "2026-06-12T22:08:19.448", "mongoId" : "6a2c5e8d74d8ee00a08e4dac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Analytical capability", "Operational understanding", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Leadership", "Critical thinking", "Adaptability", "Negotiation", "Mentoring", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Performance reporting", "Operational data", "Financial metrics", "KPI tracking", "Data governance", "Data quality", "Data management", "Reporting accuracy", "Reporting structures", "Data validation", "Performance analysis", "Resource planning", "Workflow optimisation", "Reporting automation", "Reporting accessibility", "Reporting usability", "Client reporting", "Business reviews", "AI technology", "Cloud-native architecture", "Performance metrics", "Financial performance", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Power BI", "Tableau", "Looker Studio", "Excel" ], "skillCount" : 54, "jobCategory" : "other", "jobSubcategory" : "analytics-", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c5e8d74d8ee00a08e4da9", "title" : "Measurement Lead", "company" : "Brandtech+", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Lead Measurement role in the Marketing industry, adjusted for a remote position in India." }, "location" : "BTG+", "locations" : [ "BTG+" ], "timestamp" : "2026-06-15T00:28:09.903", "fingerprint" : "094024f3916f2150eb92a7084d9e0abf67f2206191a2185e2db4d5deda186410", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/brandtechplus/jobs/8000033", "externalId" : "8000033", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker Studio, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data governance", "Performance analysis", "Operational efficiency", "Commercial insight", "Client reporting" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data validation", "Quality assurance", "Forecasting", "Planning" ], "softSkillsList" : [ "Leadership", "Critical thinking", "Adaptability", "Negotiation", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" }, { "name" : "Adaptability" }, { "name" : "Negotiation" }, { "name" : "Mentoring" } ], "majorSkills" : "Data governance, Performance reporting, Stakeholder management, Data analysis", "majorSkillsList" : [ "Data governance", "Performance reporting", "Stakeholder management", "Data analysis" ], "coreResponsibilities" : "Support development of reporting frameworks, Establish consistent tracking approaches, Standardise reporting structures, Define KPI definitions, Define data taxonomies, Ensure reporting aligns to client objectives, Ensure reporting aligns to business priorities, Ensure reporting aligns to operational requirements, Own data integrity, Maintain data integrity, Implement data validation processes, Implement quality assurance processes, Implement reporting accuracy processes, Identify reporting inconsistencies, Identify reporting gaps, Identify reporting risks, Resolve reporting issues, Promote data management best practices, Promote reporting governance best practices, Build regular reporting outputs, Translate complex datasets into insight, Support governance forums, Support performance reviews, Support client reporting, Analyse delivery trends, Analyse utilisation trends, Analyse efficiency trends, Analyse financial performance trends, Improve visibility across workflows, Improve visibility across resource planning, Improve visibility across performance tracking, Support forecasting activities, Support planning activities, Support performance analysis activities, Identify operational inefficiencies, Identify optimisation opportunities, Contribute to scalable reporting solutions, Contribute to automated workflows, Support integration across reporting tools, Support integration across delivery systems, Support integration across finance platforms, Support integration across workflow trackers, Improve reporting accessibility, Improve reporting automation, Improve reporting usability, Streamline reporting processes, Reduce manual effort, Encourage consistent adoption of measurement frameworks, Encourage consistent adoption of reporting best practices, Partner with internal stakeholders, Understand reporting needs, Understand reporting priorities, Support client-facing reporting requirements, Present clear data, Present accurate data, Present transparent data, Shape performance narratives, Shape reporting materials for governance meetings, Shape reporting materials for business reviews, Build working relationships across teams, Ensure alignment across teams, Ensure consistency across teams", "teamCollaboration" : "Global teams; Regional teams; Delivery teams; Operations teams; Finance teams; Strategy teams; Internal stakeholders; Client-facing reporting", "domainKnowledge" : "Marketing operations; Agency reporting; Client value demonstration", "domainList" : [ "marketing-operations", "agency-reporting", "client-value-demonstration" ], "domainSpecificKnowledge" : [ "Marketing operations", "Agency reporting", "Client value demonstration" ], "toolProficiency" : [ "Power BI", "Tableau", "Looker Studio" ], "communicationSkills" : "Clear communication; Concise communication; Commercially relevant insight; Performance narratives; Data presentation", "continuousLearning" : "Always learning and listening", "innovationCreativity" : "Leveraging cutting-edge AI technology; Enhance efficiency; Spark creativity; Drive insightful decision-making; Produce innovative results", "problemSolvingSkills" : "Analytical capability; Problem-solving skills; Translate complexity; Practical recommendations", "outcomesObjectives" : "Demonstrate value to clients; Support effective decision-making", "qualificationsBasic" : "5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles, Advanced Excel skills, Experience using reporting and visualisation tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. We partner with over 300 clients in 40+ countries and counting. Our focus is to connect clients with high-quality solutions, talent and ambitious opportunities worldwide.  As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Measurement Lead Location: Remote working until further notice ABOUT THE ROLE: Brandtech+ is evolving how data is structured, governed, and utilised across global client accounts. The Measurement Lead plays a key role in shaping how delivery, operational, financial, and performance data are captured, connected, interpreted, and communicated across The Mix. This role is responsible for driving consistency, accuracy, and transparency across reporting and measurement frameworks, ensuring stakeholders have access to reliable, actionable insights that support effective decision-making and demonstrate value to clients. Working closely with global and regional teams across delivery, operations, finance, and strategy, the Measurement Lead will support the development of scalable reporting structures, robust data governance processes, and integrated performance views across projects, people, finance, and operational metrics. The role is suited to someone who combines strong analytical capability with operational understanding and excellent stakeholder management skills. The successful candidate will be comfortable working across multiple data sources and business functions, translating complexity into clear reporting, meaningful insight, and practical recommendations. This is a hands-on role within a fast-moving global environment, requiring a proactive and detail-oriented individual who can balance strategic thinking with day-to-day execution and continuous improvement. WHAT YOU WILL BE DOING: Measurement & Reporting Frameworks Support the development and ongoing evolution of reporting and measurement frameworks across The Mix. Establish consistent approaches to tracking delivery, operational, financial, and performance metrics. Help standardise reporting structures, KPI definitions, and data taxonomies across markets and teams. Ensure reporting outputs align to client objectives, business priorities, and operational requirements. Data Governance & Quality Control Own and maintain data integrity across reporting inputs and outputs. Develop and implement processes for data validation, quality assurance, and reporting accuracy. Identify inconsistencies, gaps, and risks within reporting structures and work with stakeholders to resolve them. Promote best practice approaches to data management and reporting governance across teams. Performance Reporting & Insight Build and maintain regular reporting outputs for global and regional stakeholders. Translate complex datasets into clear, concise, and commercially relevant insight. Support governance forums, performance reviews, and client reporting through accurate and meaningful performance narratives. Analyse trends and patterns across delivery, utilisation, efficiency, and financial performance metrics. Operational & Commercial Support Work closely with delivery, operations, and finance teams to improve visibility across workflows, resource planning, and performance tracking. Support forecasting, planning, and performance analysis activities through reliable reporting and structured insight. Assist in identifying operational inefficiencies and opportunities for optimisation through data analysis. Contribute to the development of scalable reporting solutions and automated workflows where appropriate. Tools, Systems & Process Improvement Support integration and alignment across reporting tools, delivery systems, finance platforms, and workflow trackers. Help improve reporting accessibility, automation, and usability across teams. Partner with operational and technology stakeholders to streamline reporting processes and reduce manual effort. Encourage consistent adoption of measurement frameworks and reporting best practices globally. Stakeholder & Client Collaboration Partner with internal stakeholders across delivery, strategy, finance, and operations to understand reporting needs and priorities. Support client-facing reporting requirements with clear, accurate, and transparent data presentation. Help shape performance narratives and reporting materials for governance meetings and business reviews. Build strong working relationships across global and regional teams to ensure alignment and consistency. WHAT YOU WILL NEED TO BE GREAT AT THIS ROLE: 5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles within agencies, marketing operations, or in-house environments. Strong analytical and problem-solving skills, with the ability to interpret and communicate complex information clearly. Experience working with performance reporting, operational data, financial metrics, and KPI tracking. Advanced Excel skills and confidence working with large or complex datasets. Experience using reporting and visualisation tools such as Power BI, Tableau, Looker Studio, or equivalent platforms. Strong organisational skills with high attention to detail and accuracy. Ability to manage multiple priorities and stakeholders within fast-paced environments. Excellent communication and stakeholder management skills. A collaborative and proactive approach, with a strong focus on continuous improvement. Req ID - 17490 #LI-SJ1 #LI-REMOTE #LI-Senior #BTG+ Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  Brandtech+, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.  Brandtech+ has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.'", "summaryDescription" : "Measurement Lead at Brandtech+. Skills: Data governance, Performance reporting, Stakeholder management, Data analysis. Support development of reporting frameworks. Establish consistent tracking approaches", "postedDate" : "2026-06-12T22:01:39.804", "createdAt" : "2026-06-12T22:01:39.804", "lastUpdated" : "2026-06-15T00:28:09.903", "ingestTimestamp" : "2026-06-12T22:01:39.804", "mongoId" : "6a2c5e8d74d8ee00a08e4da9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data validation", "Quality assurance", "Forecasting", "Planning", "Leadership", "Critical thinking", "Adaptability", "Negotiation", "Mentoring", "Data governance", "Performance reporting", "Stakeholder management", "Data analysis", "Performance analysis", "Operational efficiency", "Commercial insight", "Client reporting", "Marketing operations", "Agency reporting", "Client value demonstration", "Power BI", "Tableau", "Looker Studio" ], "skillCount" : 30, "jobCategory" : "other", "jobSubcategory" : "analytics-", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "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. 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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: Audio evaluation, AI training. 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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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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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). 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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, Role-play simulation. 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. 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" : "6a2d58ed74d8ee00a0b87b4b", "title" : "Scientist (f/m/d) – Biophysical Characterization", "company" : "Coriolis Pharma", "industry" : "Pharma", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Scientist in the Biotech industry in Durham, United States, adjusted for company size and location." }, "location" : "Durham, US", "locations" : [ "Durham", "US" ], "timestamp" : "2026-06-16T01:46:11.089", "fingerprint" : "ab59ca07bd16dcbe3c8b5d614cc7ccc7437b522f752216f58aefdb4542c88400", "source" : "personio", "language" : "en", "applyUrl" : "https://coriolis.jobs.personio.de/job/2660712", "externalId" : "2660712", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Durham", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.9966530,-78.9018053" } ], "locationText" : "Durham, North Carolina, United States", "rawDescription" : "Purpose of your Job As part of our dynamic Formulation Development & Analytics unit, you will contribute to enabling the next generation of biopharmaceutical therapies. Our team develops innovative formulation and analytical strategies under BSL-1/2 and S1/S2 safety levels as well as GMP quality standards, ensuring scientific excellence, precision, and curiosity. This role supports Coriolis Pharma’s global growth, including the expansion of new U.S. facilities in North Carolina’s Research Triangle Park (RTP). You will help transfer expertise, establish scientific capabilities, and ensure seamless integration of processes across locations. In this position, you will transform scientific questions into analytical insights by developing state-of-the-art methods, interpreting complex data, and contributing to client projects in an international environment. You will further develop both your technical expertise and personal skills. This opportunity is ideal for someone who enjoys hands-on laboratory work, thrives in a project-driven setting, and is excited to contribute to scientific excellence and the establishment of a new U.S. site. Your Responsibility Project Work Be part of project teams for client projects (e.g., liquid/lyophilization formulation development, comparability and stress testing, storage stability study) as assigned by the superior with special focus on biophysical characterization techniques for biopharmaceuticals. Work as 1st or 2nd project leader and/or team member for projects. Contribute to the development of work plans, testing procedures and/or amendments for customer projects. Correctly, timely and independently plan and execute formulation preparation / analytical testing / experiments. Independently perform analytical method transfer/implementation. Demonstrate solid understanding of performed analytical methods and be able to apply the knowledge to interpret the data. Perform data analysis and subsequently put data into context for data presentation and/or report. Support scientific discussion in client meetings. Appropriately act on unforeseen events. Scientific Expertise Serve as an expert on several instruments, analytical methods, and application areas, including biophysical characterization methods (e.g., ability to perform method development, interpretation of data, troubleshooting and training of new users on analytical procedures including analytical ultracentrifugation and circular dichroism). Implementation of new analytical equipment / technologies and application of the methods within client projects. Training & Mentoring Support onboarding of new team members. Liaise with superior on training needs. Act as mentor. Laboratory Operations Serve as a System Owner for laboratory equipment: responsible for operator training, equipment maintenance, calibration and qualification. Ensure that GRP rules are followed and documented. Ensure general laboratory cleanliness. Other duties as assigned by superior. Initiative application What you need to succeed University degree in pharmaceutical sciences, (bio)chemistry, biology, or a related field Minimum 3 years of relevant experiences, e.g. employment in pharmaceutical industry / analytical laboratory (e.g. CDMO) or PhD studies Experience with equipment commissioning, maintenance, and LIMS Proven track record and hands-on experience in relevant biophysical characterization techniques (AUC, CD, µDSC, FTIR, fluorescence, DLS, nanoDSF) is strongly preferred Additional expertise in planning and execution of biosimilar testing is a plus Proficiency in HPLC/UPLC-analysis (SEC, IEX, RP, LC-CAD, LC-MS), CE-analysis and subvisible particle analysis (MFI, LO) is highly beneficial Knowhow of biopharmaceutical formulation development, clinical in-use testing and PPM comparability testing is beneficial Strong verbal and written communication skills Good knowledge of English (both written and spoken) Good time management and prioritization skills Eagerness to learn and develop new skills Open-minded and able to adapt strategies to changes Strong intercultural and interdisciplinary team player Strong problem-solving skills Hands-on mentality: practical, solution-oriented approach with a willingness to take initiative Candidates must be based in North Carolina (NC) or willing to relocate to NC Invest in yourself Why to join Coriolis? Let’s formulate innovation together… Our success & development is created by the people working together @Coriolis. We put People first! That’s why we have a growth mindset, and value personality, collaboration and community to create an empowering and inspiring working space with focus on quality and customers. We would like to grow together with you! Let’s continue building and creating the future now! Join our Team of currently around 200 employees. In a highly motivated and interdisciplinary team, we provide you with a great chance to increase your experience. We offer an attractive work space at the Martinsried site. Let’s make a difference together! Coriolis Pharma is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, citizenship or gender identity, color, disability, religion/belief, sexual orientation, marital status, age or individual preferences. Different backgrounds, experiences and ideas push us further and raise the bar. Thank you for your interest! We look forward to receiving your application documents. Please use our career portal exclusively for this purpose. We would like to support you from the very beginning to shape your development possibilities here at Coriolis. For questions or further information, please visit our website or contact us directly. We are looking forward to your application! Your Contact Dominik Schwemmer Senior Business Partner - Talent & Development People, Organization & Culture Unit Coriolis Pharma Research GmbH Phone: +49 (0) 89 – 417760 - 0 Fraunhoferstraße 18 b, 82152 Martinsried www.coriolis-pharma.com", "summaryDescription" : "Scientist (f/m/d) – Biophysical Characterization at Coriolis Pharma", "createdAt" : "2026-06-14T19:43:30.688", "lastUpdated" : "2026-06-16T01:46:11.089", "ingestTimestamp" : "2026-06-14T19:43:30.688", "mongoId" : "6a2d58ed74d8ee00a0b87b4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f69f292fd229c058edc", "title" : "Regional Product Lead, Foundation Measurement, Scaled", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product role in Singapore, adjusted for the technology industry and a large company size." }, "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]" ], "timestamp" : "2026-06-16T11:29:08.701", "fingerprint" : "1250542a217e05bc0180f693455188365933556f38f12efdbfc41029d427a13c", "source" : "google", "language" : "en", "externalId" : "114151185580991174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate cross-functionally", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : false, "summaryDescription" : "Regional Product Lead, Foundation Measurement, Scaled. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-16T01:49:09.957", "createdAt" : "2026-06-16T01:49:09.957", "lastUpdated" : "2026-06-16T11:29:08.701", "ingestTimestamp" : "2026-06-16T01:49:09.957", "mongoId" : "6a307f69f292fd229c058edc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7d6174d8ee00a094faa3", "title" : "Quarantine Sampling Technician", "company" : "Bentley Labs", "industry" : "Manufacturing", "salary" : { "min" : 48500.0, "max" : 67500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Quarantine Sampling Technician in New Jersey, United States, adjusted for industry and company size." }, "location" : "New Jersey, United States", "locations" : [ "New Jersey", "United States" ], "timestamp" : "2026-06-16T04:27:03.289", "fingerprint" : "d06872b1a758a4b917308c8ad005b214e465c4c8ca503fac338b650c8f8d3b2d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.thg.com/talent/job-search?gh_jid=4892910101", "externalId" : "4892910101", "industryFunction" : { }, "structuredLocations" : [ { "state" : "New Jersey", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "New Jersey, United States", "technicalSkills" : "Microsoft Office, ERP systems", "professionalSkills" : [ "Material sampling", "Inventory control", "Warehouse operations", "Quality Assurance", "Quality Control" ], "hardSkillsList" : [ "Aseptic techniques", "Contamination control" ], "hardSkills" : [ { "name" : "Aseptic techniques", "level" : "intermediate" }, { "name" : "Contamination control", "level" : "intermediate" } ], "majorSkills" : "Material sampling, CGMP compliance, Documentation", "majorSkillsList" : [ "Material sampling", "CGMP compliance", "Documentation" ], "coreResponsibilities" : "Collect representative samples of incoming raw materials, Collect representative samples of packaging components, Verify material identity, Verify lot numbers, Verify status labels, Verify associated documentation, Utilize proper aseptic techniques, Utilize contamination-control techniques, Label all samples accurately, Document all samples accurately, Operate a forklift, Put approved material into inventory, Maintain organization of quarantine areas, Maintain cleanliness of quarantine areas, Maintain organization of sampling areas, Maintain cleanliness of sampling areas, Assist with movement of materials, Verify material status labels, Report discrepancies to Quality Assurance, Support cycle counts, Support inventory reconciliation activities, Complete sampling logs, Complete batch documentation, Complete material inspection records, Complete laboratory submission forms, Maintain compliance with Good Documentation Practices, Perform activities in accordance with approved SOPs, Perform activities in accordance with specifications, Perform activities in accordance with cGMP requirements, Follow all company safety policies, Follow GMP requirements, Wear required PPE, Maintain cleanroom standards, Maintain hygiene standards, Report quality concerns, Report safety concerns, Report compliance concerns, Participate in internal audits, Participate in inspections, Participate in continuous improvement initiatives", "teamCollaboration" : "Production personnel; Warehouse personnel; Quality Assurance personnel; Laboratory personnel", "domainKnowledge" : "cGMP requirements; Good Documentation Practices", "domainList" : [ "cgmp-requirements", "good-documentation-practices" ], "domainSpecificKnowledge" : [ "cGMP requirements", "Good Documentation Practices" ], "toolProficiency" : [ "Forklift" ], "documentationSkills" : "GMP documentation; Good Documentation Practices", "specialRequirements" : "Ability to lift up to 50 pounds, Ability to stand, walk, bend, and climb stairs", "outcomesObjectives" : "Maintain material control; Support Quality Assurance operations; Support Quality Control operations; Prevent contamination; Prevent mix-ups", "qualificationsBasic" : "High School Diploma or GED required, Understanding of cGMP requirements, Understanding of Good Documentation Practices, Ability to follow written procedures, Ability to work independently, Ability to lift up to 50 pounds, Ability to stand, walk, bend, and climb stairs", "qualificationsPreferred" : "1-3 years of experience in pharmaceutical, OTC drug, cosmetic, food, or related regulated manufacturing environment, Experience with material sampling, Experience with GMP documentation, Experience with inventory control, Experience with warehouse operations", "workSiteFlexibility" : "Onsite", "rawDescription" : "About THG We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition. Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition. From Manchester to New York, we’re powered by a team of over 2500 people who work together, lead by example, and think BIG. With us, you’ll go further, faster. What are you waiting for? Life at THG Beauty We know that beauty isn’t one-size-fits-all. Our portfolio of leading retailers and iconic beauty brands caters to everyone, everywhere, empowering customers all over the world to look and feel fantastic. By combining our portfolio of owned brands with a marketplace for over 1,300 third-party beauty brands through online retail sites LOOKFANTASTIC, Cult Beauty, and Dermstore, THG Beauty's ambition is to be the global digital partner of choice across the beauty industry, supporting the channel shift to online. THG Beauty’s breadth of relationships is unique to the beauty market; it engages with brands as a retailer, a brand owner, and a product developer and manufacturer, making it the industry’s digital strategic leader. About Bentley Labs Bentley Laboratories is a premier beauty contract manufacturer based in Edison, NJ. For over twenty years, Bentley has been a trusted supplier for the world’s top global beauty brands, creating and producing award-winning innovations across the skincare, body care, haircare, hygiene and color cosmetics categories. Bentley’s core manufacturing capabilities include OTC’S; skincare emulsions; surfactant systems for haircare, bath hot fill processing for solid stick deodorants, lip balms, and other wax systems; and powders for dry shampoos and loose powder face applications. Known for its innovation capabilities, quality, and manufacturing excellence, Bentley maintains the highest standards in GMP compliance, safety, and operational efficiency. Why be a Quarantine Sampling Technician at Bentley Labs? The Quarantine Sampling Technician is responsible for the collection, handling, labeling, and delivery of representative samples of incoming raw materials in accordance with approved procedures and current Good Manufacturing Practices (cGMP). This position plays a critical role in maintaining material control and supporting Quality Assurance and Quality Control operations by ensuring samples are collected accurately, safely, and in a manner that prevents contamination or mix-ups. As a Quarantine Sampling Technician, you’ll: Material Sampling Collect representative samples of incoming raw materials and packaging components according to approved sampling procedures. Verify material identity, lot numbers, status labels, and associated documentation prior to sampling. Utilize proper aseptic and contamination-control techniques during sample collection. Label and document all samples accurately and completely. Operate a forklift to put approved material into inventory Inventory and Material Control Maintain organization and cleanliness of quarantine and sampling areas. Assist with movement of materials between quarantine, approved, and rejected locations. Verify material status labels and report discrepancies to Quality Assurance. Support cycle counts and inventory reconciliation activities as required. Documentation Complete sampling logs, batch documentation, material inspection records, and laboratory submission forms accurately and legibly. Maintain compliance with Good Documentation Practices (GDP). Ensure all activities are performed in accordance with approved SOPs, specifications, and cGMP requirements. Compliance and Safety Follow all company safety policies and GMP requirements. Wear required PPE and maintain cleanroom and hygiene standards where applicable. Report quality, safety, and compliance concerns immediately. Participate in internal audits, inspections, and continuous improvement initiatives. What skills and experience do I need for this role? 1-3 years of experience in pharmaceutical, OTC drug, cosmetic, food, or related regulated manufacturing environment preferred. Experience with material sampling, GMP documentation, inventory control, or warehouse operations preferred. High School Diploma or GED required Understanding of cGMP requirements and Good Documentation Practices. Strong attention to detail and organizational skills. Ability to follow written procedures and work independently. Basic computer skills including Microsoft Office and ERP systems. Ability to communicate effectively with Production, Warehouse, Quality Assurance, and Laboratory personnel. Physical Requirements Ability to lift up to 50 pounds. Ability to stand, walk, bend, and climb stairs throughout the workday. Ability to wear required PPE, including safety glasses, gloves, hairnets, beard covers, and protective footwear. Ability to access warehouse racks, manufacturing vessels, and storage areas. Preferred Experience FDA-regulated pharmaceutical, OTC drug, cosmetic, dietary supplement, or food manufacturing. Raw material and packaging component sampling. Water sampling. Environmental monitoring sampling. SAP, Oracle, NetSuite, or other ERP systems. Forklift certification (or ability to obtain certification). Key Performance Indicators (KPIs) On-time sample collection. Sampling right-first-time rate. Documentation error rate. Material release cycle time support. Audit readiness and GMP compliance. Sampling equipment inspection and maintenance compliance. What’s in it for me? Salary: $19.50 to $24.00/hour 10+ Vacation Days, 5 Personal Days, and 13 Paid Holidays. Don’t want to work on your birthday? We don’t either! Enjoy the day off on us. Generous discounts on our brands. Medical/Dental/Vision, 401(k) with match, and Flex Spending Accounts. Parental Return-to-Work Bonus and Employee Assistance Programs. Company Expectations At Bentley Labs, we believe that our culture is the foundation of our success. All team members are expected to uphold our core values by demonstrating integrity, accountability, and mutual respect in all aspects of their work. We are committed to maintaining a safe, inclusive, and collaborative work environment where everyone feels valued. As part of our team, you are expected to: Take personal responsibility for promoting and maintaining a safe and healthy workplace. Follow all applicable GMP (Good Manufacturing Practices), quality, and compliance standards. Foster an environment of inclusivity, respect, and open communication. Uphold the highest standards of professional ethics and integrity. Contribute positively to our culture of continuous improvement, innovation, and shared success. THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community. Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further.", "summaryDescription" : "Quarantine Sampling Technician at Bentley Labs. Skills: Material sampling, CGMP compliance, Documentation. Collect representative samples of incoming raw materials. 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For decades, we have been at the heart of Europe’s financial services infrastructure, providing financial data and investment tools, from intelligent data feeds to wealth management platforms and trading solutions, and empowering over ninety thousand professionals to navigate complex markets with confidence. We build technology, but our people power us. We foster an inclusive workplace where diverse perspectives drive innovation and results, guided by our shared values of engagement, communication and recognition. Together, we collaborate, commit to innovation and shape the future of our industry, building a culture of trust, transparency and enjoyment. Job Description goes here.... Our offer While our benefits may vary depending on your location, they typically include: Health & wellness: Benefit from wellbeing initiatives tailored to local needs, including access to an employee assistance programme that provides confidential support to employees and their families. Holiday: Enjoy competitive holiday entitlement aligned with local markets, so you can rest and recharge. Pension: Plan for your long-term financial wellbeing through our pension scheme, supported by employer contributions. Remote work: Enjoy the opportunity to work two days a week from home, with flexible working hours where possible. You may also request to work up to four weeks per year from a different location. Learning & development: Support your career progression with access to learning resources, ongoing conversations with your manager, and opportunities to share the knowledge you gain with your team. Culture & impact: Be part of an international team with a startup mindset and play a key role in making a meaningful impact. Our offices: Work from Europe’s leading financial centres and be at the heart of where finance happens. Additional notes All candidates selected for employment are subject to Pre-Employment Screening. This process includes professional reference and background checks conducted by our third-party partner, ZINC. These screenings are part of our commitment to ensuring a secure, compliant, and trustworthy workplace. Since your application will be reviewed by an international team, we kindly ask that you submit your CV in English. 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Partner with Quality; Partner with Design; Partner with Manufacturing", "domainKnowledge" : "Iron-air battery technology; Energy storage; Grid reliability; Liquid chemicals; Solid materials; High-volume manufacturing", "domainList" : [ "iron-air-battery-technology", "energy-storage", "grid-reliability", "liquid-chemicals", "solid-materials", "high-volume-manufacturing" ], "domainSpecificKnowledge" : [ "Iron-air battery technology", "Energy storage", "Grid reliability", "Liquid chemicals", "Solid materials", "High-volume manufacturing" ], "toolProficiency" : [ "LIMS" ], "problemSolvingSkills" : "Failure analysis", "specialRequirements" : "Relocation assistance available", "outcomesObjectives" : "Accelerate validation of battery technology; Ensure global grid reliability; Ensure grid stability", "qualificationsBasic" : "8+ years advanced material characterization instrumentation, 3+ years leading analytical chemistry teams, 3+ years leading materials science teams, 3+ years leading failure analysis teams, Proven LIMS deployment or management, Demonstrated industrial metrology knowledge, Demonstrated gauge R&R studies knowledge, Demonstrated tool precision verification knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. ROLE DESCRIPTION As the Manager, Materials Characterization, you will play a critical role in leading our internal analytical testing and method development function. Reporting directly into the Reliability Engineering organization, our team drives analytical excellence, failure analysis, and factory method transfers. You will lead a world-class laboratory team in deep partnership with Core Technology, Quality, Design, and Manufacturing teams to accelerate the validation of our breakthrough iron-air battery technology, ensuring global grid reliability and stability. Relocation assistance is available. WHAT YOU'LL DO: - Provide strategic direction and empathetic people leadership to a diverse team from entry-level technicians to senior scientists, establishing clear performance expectations, shielding them from reactive triage, and cultivating a rigorous, high-throughput culture. - Oversee day-to-day lab workflows, sample lifecycle management, and instrument scheduling to achieve predictable turnaround times, optimize throughput, and maintain exceptional data quality. - Champion the creation of novel characterization methods for liquid and solid chemicals and materials, ensuring all methodologies are evaluated for precision-to-tolerance ratios before scaling or transferring to high-volume manufacturing lines. - Continuously evaluate evolving product development timelines to re-prioritize characterization requests, engaging proactively with design and process teams to fill analytical gaps and extract actionable insights for product performance and durability. - Manage the internal laboratory budget, balance routine operational expenditures, forecast resource needs, maintain strong relationships with external vendors, and execute clear ROI analyses on bringing new characterization instruments internal to Form. WHAT YOU'LL BRING: - 8+ years of experience in using and managing advanced material characterization instrumentation (i.e. SEM, FTIR, ICP, XRD) - 3+ years experience in directly leading diversely skilled analytical chemistry, materials science or failure analysis laboratory teams - Proven track record of deploying or managing a Laboratory Information Management System (LIMS) or equivalent sample/workflow tracking system to optimize laboratory KPIs. - Demonstrated knowledge of industrial metrology concepts, gauge R&R studies, and verifying tool precision against engineering specs for high-volume manufacturing transfers. - Excellent communication and organizational skills #LI-Onsite Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.", "summaryDescription" : "Manager, Materials Characterization at Form Energy. Skills: Materials characterization, Laboratory leadership, Method development. Provide strategic direction. Provide empathetic people leadership", "postedDate" : "2026-06-11T19:48:08.204", "createdAt" : "2026-06-11T19:48:08.204", "lastUpdated" : "2026-06-14T21:51:28.441", "ingestTimestamp" : "2026-06-11T19:48:08.204", "mongoId" : "6a2a8fc874d8ee00a068a0a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 191530, "hasSalary" : false, "allSkills" : [ "Materials characterization", "Chemical analysis", "Materials science", "Failure analysis", "Metrology concepts", "Gauge R&R studies", "Leadership", "Mentoring", "Laboratory leadership", "Method development", "Analytical testing", "Laboratory management", "Budget management", "ROI analysis", "Iron-air battery technology", "Energy storage", "Grid reliability", "Liquid chemicals", "Solid materials", "High-volume manufacturing", "LIMS" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "reliability-&-test", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy Technology" }, { "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. Audit conversational AI outputs", "postedDate" : "2026-06-14T21:48:11.730", "createdAt" : "2026-06-14T21:48:11.730", "lastUpdated" : "2026-06-16T07:01:14.744", "ingestTimestamp" : "2026-06-14T21:48:11.730", "mongoId" : "6a2c91a774d8ee00a09838c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic audio models", "Customer support scenarios", "Flight bookings", "Financial services", "Telecommunications" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6931903470f0b99d58087a69", "title" : "Materials Characterization Engineer, SPICE Lab", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 86900.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:14:15.411", "fingerprint" : "54ec2b58b79015b253a890c26c1589d5817170bb27531590b6793f42c9fc56f7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136860/apply", "externalId" : "eafe50a2-9eea-42aa-bb72-2317f16f00f3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Optical microscopy, Electron microscopy, X-ray imaging, EDS, FTIR, XRF, DSC, DMA, TMA, Rheometer, IC, GC-MS, SEM, Computed tomography", "professionalSkills" : [ "Materials characterization", "Failure analysis", "Data interpretation", "Sample preparation", "Physical characterization", "Chemical characterization", "Corrective actions", "Method development", "Design best practices", "Manufacturing best practices", "Material selection", "Root cause analysis" ], "hardSkillsList" : [ "Materials science", "Engineering" ], "hardSkills" : [ { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Engineering", "level" : "intermediate" } ], "majorSkills" : "Materials characterization, Failure analysis, Sample preparation", "majorSkillsList" : [ "Materials characterization", "Failure analysis", "Sample preparation" ], "coreResponsibilities" : "Develop analysis outcomes, Execute analysis outcomes, Investigate structure/process/properties relationships, Optimize packaging solutions, Act as liaison, Triage lab requests, Design materials investigations, Execute materials investigations, Provide leadership updates, Collect data, Analyze data, Consult on corrective actions, Consult on method development, Consult on design best practices, Consult on manufacturing best practices, Consult on material selection, Support Sr. Engineering staff, Deliver expedient results, Deliver accurate results, Maintain lab tools, Ownership of operations best-practices, Ownership of operations initiatives, Ensure efficient work environment, Provide daily updates", "teamCollaboration" : "Cross-functional stakeholders; Global Materials Science organization; Sr. Engineering staff; Internal stakeholders", "domainKnowledge" : "Packaging solutions; Materials science; Hardware development", "domainList" : [ "packaging-solutions", "materials-science", "hardware-development" ], "domainSpecificKnowledge" : [ "Packaging solutions", "Materials science", "Hardware development" ], "toolProficiency" : [ "Issue Management application" ], "communicationSkills" : "Materials analysis report", "documentationSkills" : "Materials analysis report", "innovationCreativity" : "Develop new methods", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Hands-on lab work", "outcomesObjectives" : "Improve product reliability; Improve product safety; Accelerate innovation; Impact design; Optimize for cost; Optimize for performance; Optimize for sustainability", "qualificationsBasic" : "2+ years hardware design, Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent, Experience with benchmarking technical equipment, Experience with lab safety, security and quality practices, Experience using materials and failure analysis techniques", "qualificationsPreferred" : "Master's degree, Independently troubleshoot scientific equipment, Maintain scientific equipment, Develop new methods for scientific equipment, Apply failure analysis methodology, Develop analysis plans, Develop root-cause hypothesis, Corrective action recommendations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SPICE lab (a Seattle-based branch of Amazon’s Lab126 subsidiary) is a research and development group partnering with Amazon’s most ambitious hardware organizations. SPICE lab Amazon’s growing portfolio of hardware programs including Kuiper, Prime Air, Mechatronics, Sustainable Packaging, AWS, Lab126 Devices and others. If you are passionate about building the future and want to take part in developing ideas from concept to production, consider joining the SPICE lab team! The Role: The Materials Characterization and Failure Analysis team leverages science and engineering to improve product reliability and safety, accelerate innovation, and make a direct impact on design through high-quality analysis and expert interpretation of data. This position will support the Global Materials Science organization by investigating structure/process/properties relationships in packaging solutions, optimizing for cost, performance, and sustainability. You will develop and execute world-class analysis outcomes in the areas of sample preparation and physical/chemical characterization. A majority of time will be spent in a lab environment, so demonstrated enthusiasm for hands-on work developing and executing lab procedures is key. You will act as the formal liaison between SPICE lab and the Global Materials Science (GMS) organization, triaging requests of the lab team, designing/executing materials investigations, and providing updates to leadership. Key job responsibilities • Data collection and analysis utilizing a variety of characterization methods including optical/electron microscopy, x-ray imaging, spectroscopy (EDS, FTIR, XRF), thermal-mechanical (DSC, DMA, TMA, rheometer), and chromatography (IC, GC-MS) • Consultation on corrective actions, method development, design/manufacturing best practices and material selection for cross-functional stakeholders • Supporting Sr. Engineering staff to deliver expedient and accurate results for high-priority and escalated investigations • Maintenance of lab tools, and ownership of operations best-practices/initiatives to ensure a clean and efficient work environment for the team A day in the life On a typical day in this role you will split time between your desk in our office area and the lab facility down the hallway. You'll have a queue of between 2 and 5 investigations at various stages, tracked using our Issue Management application and provide our internal stakeholders daily updates on progress. Your projects will most often culminate in a materials analysis report document which you'll use to build consensus around actions for the business to take in order drive new innovations in materials science and engineering. About the team SPICE lab supports three main roles: Reliability Testing, Failure Analysis, and Materials Characterization. We frequently work together because conducting thorough root cause analysis is valuable for understanding and remedying any issues uncovered as part of a program's reliability testing plan. Likewise, the reliability testing team can help to reproduce failure mechanisms, helping to validate Failure Analysis team's hypotheses. Finally, many of the same tools are valuable in measuring materials properties or other figures of merit in materials selection exercises. Basic Qualifications: - 2+ years of hardware design and validation of components, subsystems and systems experience - Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent - Experience with benchmarking technical equipment and metrics - Experience with lab safety, security and quality practices - Experience using materials and failure analysis techniques. Examples include SEM, computed tomography (CT) x-ray, cross sectioning, and FTIR Preferred Qualifications: - Master's degree - Experience independently troubleshooting, maintaining, and developing new methods for scientific equipment. - Demonstrated ability to apply failure analysis methodology to independently develop analysis plans and develop a root-cause hypothesis with corrective action recommendations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $86,900/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Materials Characterization Engineer, SPICE Lab at Amazon.com Services LLC. Skills: Materials characterization, Failure analysis, Sample preparation. Develop analysis outcomes. Execute analysis outcomes", "postedDate" : "2026-06-13T06:24:20.710", "createdAt" : "2026-06-13T06:24:20.710", "lastUpdated" : "2026-06-15T06:14:15.411", "ingestTimestamp" : "2026-06-13T06:24:20.710", "mongoId" : "6931903470f0b99d58087a69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136860/apply", "salaryAnnualMin" : 86900, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Materials science", "Engineering", "Materials characterization", "Failure analysis", "Sample preparation", "Data interpretation", "Physical characterization", "Chemical characterization", "Corrective actions", "Method development", "Design best practices", "Manufacturing best practices", "Material selection", "Root cause analysis", "Packaging solutions", "Hardware development", "Issue Management application" ], "skillCount" : 17, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "perform measurement on characterization evaluations samples jobs", "metadata" : { "title" : "perform measurement on characterization evaluations samples" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 4602, "totalPages" : 93, "hasNext" : true, "hasPrevious" : false } }

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