{ "count" : 52063, "data" : [ { "id" : "69d3e6b92beec4dd3d3f73ac", "title" : "AI Data Associate - Portuguese", "company" : "Evi Technologies Limited", "industry" : "Administrative Support, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 32500.0, "max" : 42000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Data Associate in London, UK, adjusted for the technology industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:32:58.187", "fingerprint" : "2dc701ad1bcb49638d51fd12027dc34d7ea24f1e97353a32a3334247cfb5dece", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10378500/apply", "externalId" : "a9a7e2a9-0b87-410b-8d4d-0a3314f03d4b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Data analysis, Data visualization, Machine learning, Cloud platforms, AWS, GCP, Azure, Snowflake, BigQuery, Redshift, Databricks, Dbt, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, SageMaker, Vertex AI, Synapse, ML Studio, Spark, Scala", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical modeling", "Data manipulation", "Data wrangling", "ETL processes", "Data warehousing", "Database management", "Algorithm development", "Model deployment", "Performance tuning" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analysis", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Analyze large datasets, Develop and implement data models, Build and maintain BI dashboards, Collaborate with stakeholders, Identify trends and insights, Develop predictive models, Automate data processes, Ensure data quality and integrity, Present findings to stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; 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Technical documentation", "documentationSkills" : "Technical writing; Data documentation", "continuousLearning" : "Professional development; Training opportunities", "innovationCreativity" : "Explore new technologies; Develop novel solutions", "problemSolvingSkills" : "Analytical thinking; Root cause analysis; Troubleshooting", "outcomesObjectives" : "Drive data-informed decisions; Improve business processes; Deliver actionable insights", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 3+ years of experience in data analysis or related field, Proficiency in SQL, Experience with Python or R for data analysis", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with data visualization tools, Familiarity with machine learning concepts", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our biggest tenet - Work with a range of different types of data including but not limited to text, speech, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Speak, write, and read fluently in English - C1+ or equivalent proficiency in Brazilian Portuguese - B2+ or equivalent proficiency in English Preferred Qualifications: - Proven experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Proven project coordination or management experience (for support functions teams) - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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Develop and implement data models", "postedDate" : "2026-06-14T20:06:04.297", "createdAt" : "2026-06-14T20:06:04.297", "lastUpdated" : "2026-06-16T06:32:58.187", "ingestTimestamp" : "2026-06-14T20:06:04.297", "mongoId" : "69d3e6b92beec4dd3d3f73ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10378500/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Data manipulation", "Data wrangling", "ETL processes", "Data warehousing", "Database management", "Algorithm development", "Model deployment", "Performance tuning", "Data analysis", "Machine learning", "Business intelligence", "Data engineering", "Data modeling", "Statistical analysis", "Analytics engineering", "Quantitative analysis", "Agile methodologies", "Scrum", "Roadmap planning", "Data science", "AI", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Git", "JIRA" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305efdf292fd229cf76de4", "title" : "Data Collection Auditor", "industry" : "Data Operations", "salary" : { "min" : 32.0, "max" : 35.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Redwood City, CA", "locations" : [ "Redwood City, CA" ], "timestamp" : "2026-06-16T11:22:34.861", "fingerprint" : "acac40c0f8f554261b93f286b42557f0caf0d84f65a1c2d1ea8e91510cd3d3a8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/dyna-robotics/91f17da0-fe35-4ae5-a208-e5784de0b258/application", "externalId" : "91f17da0-fe35-4ae5-a208-e5784de0b258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Review data collection episodes, Audit live episodes, Ensure accuracy, Ensure consistency, Ensure compliance with SOPs, Identify deviations, Document issues, Provide feedback to operators", "qualificationsBasic" : "Final quality checkpoint", "workSiteFlexibility" : "Onsite", "rawDescription" : "The Data Collection Audior will be responsible for reviewing data collection episodes and/or Live auditing episodes to ensure accuracy, consistency, and compliance with established Standard Operating Procedures. This role serves as the final quality checkpoint, identifying deviations, documenting issues, and providing actionable feedback to operators in order to maintain quality data.", "summaryDescription" : "Data Collection Auditor. Review data collection episodes. Audit live episodes", "createdAt" : "2026-06-16T00:30:19.544", "lastUpdated" : "2026-06-16T11:22:34.861", "ingestTimestamp" : "2026-06-16T00:30:19.544", "mongoId" : "6a305efdf292fd229cf76de4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 35, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "69d3e6b92beec4dd3d3f738d", "title" : "AI Data Associate - Portuguese", "company" : "Evi Technologies Limited", "industry" : "Administrative Support, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 30000.0, "max" : 38000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Data Associate in London, UK, adjusted for the technology industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-14T23:43:39.088", "fingerprint" : "67d9aa6d0ce50ab50b522d8bcd8e7aaf4c5bfe6c970b90599f764781ef48e8b2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10378499/apply", "externalId" : "7a5355c4-2694-4cda-8bd0-2499d3e6546b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, ML", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Dialogue evaluation", "Subject matter expert", "ML data workflows", "Root cause analysis", "Process improvement" ], "hardSkillsList" : [ "Data execution process", "Labelling tasks" ], "softSkillsList" : [ "Logical decisions", "Eye for detail", "Adaptability" ], "hardSkills" : [ { "name" : "Data execution process", "level" : "intermediate" }, { "name" : "Labelling tasks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Logical decisions" }, { "name" : "Eye for detail" }, { "name" : "Adaptability" } ], "majorSkills" : "Data labeling, Data annotation, ML data workflows", "majorSkillsList" : [ "Data labeling", "Data annotation", "ML data workflows" ], "coreResponsibilities" : "Maintain strict confidentiality, Work with different data types, Deliver high-quality labelled data, Meet KPIs, Use in-house tools, Act as subject matter expert, Research responses, Create responses, Rank responses, Create text, Create speech, Create image annotation, Create video annotation, Make logical decisions, Pivot between categories, Support daily operational deliverables, Handle end to end data execution, Label tasks, Contribute to root cause analysis, Identify error patterns, Identify solutions, Improve quality of labelling tasks, Identify process issues, Identify operational issues, Suggest changes to unblock operations, Provide floor support, Clarify internal queries", "teamCollaboration" : "Diverse team", "projectManagementSkills" : [ "Project coordination", "Project management" ], "domainKnowledge" : "Generative AI; Large language models; Human-technology interaction; Machine Learning; ML data workflows; Data labelling; Dialogue evaluation; Speech data; Text data; Audio data; Video data; Alexa performance", "domainList" : [ "generative-ai", "large-language-models", "human-technology-interaction", "machine-learning", "ml-data-workflows", "data-labelling", "dialogue-evaluation", "speech-data", "text-data", "audio-data", "video-data", "alexa-performance" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "Human-technology interaction", "Machine Learning", "ML data workflows", "Data labelling", "Dialogue evaluation", "Speech data", "Text data", "Audio data", "Video data", "Alexa performance" ], "toolProficiency" : [ "In-house tools", "Microsoft Office Suite" ], "innovationCreativity" : "Creative mind", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Meet our KPIs", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Speak, write, and read fluently in English, C1+ proficiency in Brazilian Portuguese, C1+ proficiency in English", "qualificationsPreferred" : "Demonstrated task execution ability, Capacity to leverage open-source resources, Adapt well to fast-paced environments, Project coordination experience, Management experience, Experience managing stakeholder relationships, Advanced proficiency in Microsoft Office Suite, Advanced proficiency in common business applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our biggest tenet - Work with a range of different types of data including but not limited to text, speech, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Speak, write, and read fluently in English - C1+ or equivalent proficiency in Brazilian Portuguese - C1+ or equivalent proficiency in English Preferred Qualifications: - Proven experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Proven project coordination or management experience (for support functions teams) - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AI Data Associate - Portuguese at Evi Technologies Limited. Skills: Data labeling, Data annotation, ML data workflows. Maintain strict confidentiality. Work with different data types", "postedDate" : "2026-06-13T04:54:14.268", "createdAt" : "2026-06-13T04:54:14.268", "lastUpdated" : "2026-06-14T23:43:39.088", "ingestTimestamp" : "2026-06-13T04:54:14.268", "mongoId" : "69d3e6b92beec4dd3d3f738d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10378499/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data execution process", "Labelling tasks", "Logical decisions", "Eye for detail", "Adaptability", "Data labeling", "Data annotation", "ML data workflows", "Linguistic annotation", "Dialogue evaluation", "Subject matter expert", "Root cause analysis", "Process improvement", "Project coordination", "Project management", "Generative AI", "Large language models", "Human-technology interaction", "Machine Learning", "Data labelling", "Speech data", "Text data", "Audio data", "Video data", "Alexa performance", "In-house tools", "Microsoft Office Suite" ], "skillCount" : 27, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6b9c74d8ee00a091380d", "title" : "Data Collection Engineer", "company" : "SQUAD", "industry" : "Technology", "salary" : { "min" : 720000.0, "max" : 1200000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Collection Engineer in Kyiv, Ukraine, adjusted for the Technology industry and contract employment type." }, "location" : "Kyiv", "locations" : [ "Kyiv" ], "timestamp" : "2026-06-15T10:14:34.652", "fingerprint" : "1bba85c6719e98cca246d68a8451251c7f8d5847277d7446f62ac9bf00314761", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://squad.tech/careers/?gh_jid=7496137", "externalId" : "7496137", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "CONTRACT", "technicalSkills" : "Firmware flashing, Network setup, Sensor calibration, Wi-Fi configuration", "professionalSkills" : [ "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions" ], "hardSkillsList" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation" ], "hardSkills" : [ { "name" : "Device configuration", "level" : "intermediate" }, { "name" : "Data collection sessions", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data Collection, Smart Home Devices, Field Operations", "majorSkillsList" : [ "Data Collection", "Smart Home Devices", "Field Operations" ], "coreResponsibilities" : "Set up and configure devices, Execute and monitor data collection, Ensure data quality and compliance, Prepare field locations, Optimize device placement, Coordinate third-party providers, Perform HW/FW/network troubleshooting, Mitigate operational risks, Document results and issues, Drive improvements in efficiency", "teamCollaboration" : "Cross-functional teams; Project Coordinators", "domainKnowledge" : "Smart home devices; Home automation; Security devices; Video technologies; Local networks", "domainList" : [ "smart-home-devices", "home-automation", "security-devices", "video-technologies", "local-networks" ], "domainSpecificKnowledge" : [ "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks" ], "toolProficiency" : [ "Confluence" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Document results", "continuousLearning" : "Corporate courses; Knowledge hubs; English classes; Educational leaves", "problemSolvingSkills" : "Problem-solver; Troubleshooting", "specialRequirements" : "Work evening hours", "qualificationsBasic" : "Experience with Smart Home devices, Solid understanding of network setup, Hands-on experience with technical equipment, Confident use of Google Workspace, Teamwork and cross-functional collaboration, High adaptability to changing environments, Clear and effective communication, Excellent time management, Self-organization and multitasking, Good written and spoken English", "qualificationsPreferred" : "Quality Assurance experience, Working knowledge of UNIX/Linux, Command-line basics", "workSiteFlexibility" : "Onsite", "rawDescription" : "Team Summary We are a Data Collection team focused on improving smart home devices and features through high-quality data. The data we collect supports machine learning training, evaluation, testing, and performance benchmarking, helping teams develop new capabilities and improve detection quality for customers. We recreate real-world scenarios and edge cases in various indoor and outdoor environments using both production and pre-release devices. We also perform comparative analysis of device motion detection performance across different generations, generating insights that help determine device readiness for mass production. Job Summary We are looking for a Data Collection Engineer to join our team. In this role, you will deep-dive into the specifics of smart home device functionality and collaborate with cross-functional teams to influence device/feature performance/detection quality improvement. This role offers an opportunity to work at the intersection of two fields: Technical Quality Assurance and field production (similar to debugging and shooting on a cinema set). The ideal candidate is a proactive problem-solver, creative in finding technical solutions, and resilient to changing external factors. Responsibilities and Duties Set up and configure data collection devices on-site, including firmware flashing, network setup, and sensor calibration Execute and monitor multi-device data collection sessions at remote locations according to defined scenarios, ensuring data quality and compliance in real time Independently prepare field locations, including device placement and field-of-view optimization based on environmental conditions Coordinate third-party providers (vehicles, locations, actors, pets) to ensure correct execution of scenarios Perform HW/FW/network troubleshooting during collection with remote technical support when needed Mitigate on-site operational risks and align with Project Coordinators on resource constraints Document results, issues, and field observations, and drive improvements in data collection efficiency and automation Qualifications and Skills Experience working with Smart Home, home automation, security devices, or video technologies Solid understanding of network setup, Wi-Fi configuration, and basic troubleshooting (routers, access points, local networks) Hands-on experience with technical equipment, tools, hardware installations, or field operations Confident use of Google Workspace and Confluence Strong teamwork, cross-functional collaboration, and high adaptability to changing environments Clear and effective communication Excellent time management, self-organization, and multitasking skills Good written and spoken English. Nice to have Quality Assurance experience (hardware or software testing) Working knowledge of UNIX/Linux environments and command-line basics Flexibility to work evening hours if requested by project specifics. We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member. Competitive compensation and perks. Annual performance review. Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company. Gig-contract. 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation. Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves. Medical insurance is provided from day one. Sick leaves and medical leaves are available. Free meals, fruits, and snacks when working in the office.", "summaryDescription" : "Data Collection Engineer at SQUAD. Skills: Data Collection, Smart Home Devices, Field Operations. Set up and configure devices. Execute and monitor data collection", "postedDate" : "2026-06-14T08:39:16.252", "createdAt" : "2026-06-14T08:39:16.252", "lastUpdated" : "2026-06-15T10:14:34.652", "ingestTimestamp" : "2026-06-14T08:39:16.252", "mongoId" : "6a2c6b9c74d8ee00a091380d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation", "Data Collection", "Smart Home Devices", "Field Operations", "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions", "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks", "Confluence" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a6d9bc74574cbbb3763", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 15.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T02:05:35.308", "fingerprint" : "28fbcaa0cec7b81a5778731ca71837ffd3757bba9f7fe7032cf4e40f32141301", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194804/apply", "externalId" : "48451126-d63a-4f07-a3d3-8e592da01d61", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP, Complete project objectives, Work one-on-one with research participants, Moderate research participants, Assist research participants, Ensure research objectives are met, Support collection projects operations, Report on collection projects, Moderate collection projects, Own defined tasks within projects, Improve data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for sustainability, Support several projects, Accept re-prioritization, Perform basic troubleshooting tasks, Escalate technical issues", "teamCollaboration" : "Partner with Program Coordinators; Partner with Data Collection Leads; Partner with Data Collection Specialists", "toolProficiency" : [ "Microsoft Office" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor 4-5 days, Travel to multiple sites, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research, Experience in data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end experience with data collections, Hands-on experience with data collections, Experience moderating a 1:1 session, Experience moderating sessions with users of different age, Experience moderating sessions with users of different demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 15.00 - 21.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP", "postedDate" : "2026-06-13T12:33:37.800", "createdAt" : "2026-06-13T12:33:37.800", "lastUpdated" : "2026-06-15T02:05:35.308", "ingestTimestamp" : "2026-06-13T12:33:37.800", "mongoId" : "69c94a6d9bc74574cbbb3763", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194804/apply", "salaryAnnualMin" : 31200, "salaryAnnualMax" : 43680, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microsoft Office" ], "skillCount" : 1, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693072a270f0b99d58ffb57b", "title" : "Senior Data Associate with Portuguese", "company" : "Evi Technologies Limited", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Associate in London, adjusted for the technology industry and mid-seniority level." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T01:49:12.016", "fingerprint" : "a957a74c14fc8c6714fca826b6b0553f061287b8e7262b69d53a8a098a16b199", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136405/apply", "externalId" : "7dde66f3-d3fe-48c9-91a1-40603075f4f4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine Learning, ML", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Dialogue evaluation", "Root cause analysis" ], "hardSkillsList" : [ "Grammatically correct responses", "Grammatically correct text", "Data execution process" ], "softSkillsList" : [ "Logical decisions", "Eye for detail", "Concentration", "Multi-tasking", "Attention to detail" ], "hardSkills" : [ { "name" : "Grammatically correct responses", "level" : "intermediate" }, { "name" : "Grammatically correct text", "level" : "intermediate" }, { "name" : "Data execution process", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Logical decisions" }, { "name" : "Eye for detail" }, { "name" : "Concentration" }, { "name" : "Multi-tasking" }, { "name" : "Attention to detail" } ], "majorSkills" : "Data labeling, Data annotation, ML data workflows", "majorSkillsList" : [ "Data labeling", "Data annotation", "ML data workflows" ], "coreResponsibilities" : "Maintain strict confidentiality, Follow strict confidentiality, Work with different types of data, Deliver high-quality labelled data, Meet KPIs, Assume subject matter expert role, Demonstrate proficiency in researching responses, Demonstrate proficiency in ranking responses, Demonstrate proficiency in creating text, Demonstrate proficiency in speech annotation, Demonstrate proficiency in image annotation, Demonstrate proficiency in video annotation, Make logical decisions, Pivot from one category to another, Demonstrate support for daily operational deliverables, Demonstrate expertise in handling data execution, Contribute to root cause analysis, Identify error patterns, Identify solutions to improve quality, Identify process issues, Identify operational issues, Suggest changes to unblock operations, Demonstrate ownership in floor support, Clarify internal queries", "teamCollaboration" : "Diverse team", "domainKnowledge" : "Generative AI; Large language models; LLMs; Human-technology interaction; ML data workflows; Alexa performance", "domainList" : [ "generative-ai", "large-language-models", "llms", "human-technology-interaction", "ml-data-workflows", "alexa-performance" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "LLMs", "Human-technology interaction", "ML data workflows", "Alexa performance" ], "toolProficiency" : [ "In-house tools", "In-house software" ], "innovationCreativity" : "Think out of the box", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Meet our KPIs; Demonstrate support for daily operational deliverables; Improve quality of labelling tasks", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Speak, write, and read fluently in English, Speak, write, and read fluently in Portuguese, C1+ proficiency in Brazilian Portuguese, C1+ proficiency in English", "qualificationsPreferred" : "Bachelor's degree in a relevant field, Equivalent work experience, Proven experience with demonstrated task execution ability, Proven capacity to leverage open-source resources, Ability to adapt well to fast-paced environments, Proven project coordination experience, Proven project management experience, Experience managing stakeholder relationships, Advanced proficiency in Microsoft Office Suite, Advanced proficiency in common business applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our biggest tenet - Work with a range of different types of data including but not limited to text, speech, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team - Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions - Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks - Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations - Demonstrate ownership in floor support to clarify internal queries during execution on need basis A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Speak, write, and read fluently in English - Speak, write, and read fluently in Portuguese - C1+ or equivalent proficiency in Brazilian Portuguese - C1+ or equivalent proficiency in English Preferred Qualifications: - Bachelor's degree in a relevant field or equivalent work experience - Proven experience with demonstrated task execution ability - Proven capacity to leverage open-source resources effectively for comprehensive research purposes - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Proven project coordination or management experience (for support functions teams) - Experience managing stakeholder relationships across departments - Advanced proficiency in Microsoft Office Suite and common business applications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Data Associate with Portuguese at Evi Technologies Limited. Skills: Data labeling, Data annotation, ML data workflows. Maintain strict confidentiality. Follow strict confidentiality", "postedDate" : "2026-06-12T23:23:37.531", "createdAt" : "2026-06-12T23:23:37.531", "lastUpdated" : "2026-06-15T01:49:12.016", "ingestTimestamp" : "2026-06-12T23:23:37.531", "mongoId" : "693072a270f0b99d58ffb57b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136405/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Grammatically correct responses", "Grammatically correct text", "Data execution process", "Logical decisions", "Eye for detail", "Concentration", "Multi-tasking", "Attention to detail", "Data labeling", "Data annotation", "ML data workflows", "Linguistic annotation", "Dialogue evaluation", "Root cause analysis", "Generative AI", "Large language models", "LLMs", "Human-technology interaction", "Alexa performance", "In-house tools", "In-house software" ], "skillCount" : 21, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145b74d8ee00a00bb571", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T04:22:16.377", "fingerprint" : "234a17b7652e40eeb540acda1dd4a7495c204bbacd472afab1c2bf0ae718779c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440753/apply", "externalId" : "84ab52f4-51b6-4086-aaf3-1ae2012cced9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data collection" ], "hardSkillsList" : [ "Data collection procedures" ], "softSkillsList" : [ "Interpersonal skills" ], "hardSkills" : [ { "name" : "Data collection procedures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" } ], "majorSkills" : "Data collection, Moderation", "majorSkillsList" : [ "Data collection", "Moderation" ], "coreResponsibilities" : "Follow clear instructions, Apply best responses, Perform data collected tasks, Adhere to data collection protocol, Follow SOP, Complete project objectives, Work one-on-one with research participants, Moderate research process, Assist research participants, Support day-to-day operations, Report on collection projects, Moderate collection projects, Own defined tasks, Improve data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions, Support several projects, Accept re-prioritization, Perform basic troubleshooting, Escalate technical issues", "teamCollaboration" : "Internal team communication", "domainKnowledge" : "Consumer electronics", "domainList" : [ "consumer-electronics" ], "domainSpecificKnowledge" : [ "Consumer electronics" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor, Travel to multiple sites, Lift up to 30lbs, Comfort with gaming controllers, Proficiency with joysticks", "outcomesObjectives" : "Ensure research objectives are met", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end data collections experience, Experience moderating 1:1 session independently, Experience moderating sessions with different demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed * Comfort and proficiency with gaming controllers, joysticks, or similar real-time navigation tools, with the ability to apply those skills in an operational environment. Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 20.00 - 22.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection, Moderation. Follow clear instructions. Apply best responses", "postedDate" : "2026-06-13T10:46:18.664", "createdAt" : "2026-06-13T10:46:18.664", "lastUpdated" : "2026-06-15T04:22:16.377", "ingestTimestamp" : "2026-06-13T10:46:18.664", "mongoId" : "6a25145b74d8ee00a00bb571", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440753/apply", "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection procedures", "Interpersonal skills", "Data collection", "Moderation", "Consumer electronics", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 9, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145b74d8ee00a00bb570", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:47:47.735", "fingerprint" : "f8e653d48a9908cdc87724dda5c7efa81486d75bd47d95d0b2ca1a9adb3f386f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440754/apply", "externalId" : "02e4af73-48cd-446a-837a-f0c5c5247c9b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data collection" ], "hardSkillsList" : [ "Moderating sessions" ], "hardSkills" : [ { "name" : "Moderating sessions", "level" : "intermediate" } ], "majorSkills" : "Data collection, Research participants", "majorSkillsList" : [ "Data collection", "Research participants" ], "coreResponsibilities" : "Follow instructions, Apply best responses, Perform data collected tasks, Partner with coordinators, Adhere to data collection protocol, Follow SOP, Complete project objectives, Work with research participants, Moderate research process, Assist research participants, Support day-to-day operations, Report on operations, Moderate sessions, Own defined tasks, Improve data collection processes, Deliver high quality work, Communicate with team members, Identify issues, Propose solutions, Support several projects, Accept re-prioritization, Perform basic troubleshooting, Escalate technical issues, Work indoor/outdoor, Travel to multiple sites, Lift up to 30lbs", "teamCollaboration" : "Internal team communication", "domainKnowledge" : "Consumer electronic research", "domainList" : [ "consumer-electronic-research" ], "domainSpecificKnowledge" : [ "Consumer electronic research" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor, Travel up to 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office, Reliable transportation", "qualificationsPreferred" : "Experience in research, Experience in data collection, Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, End-to-end data collections experience, Moderating 1:1 session independently, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed * Comfort and proficiency with gaming controllers, joysticks, or similar real-time navigation tools, with the ability to apply those skills in an operational environment. Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection, Research participants. Follow instructions. Apply best responses", "postedDate" : "2026-06-13T08:29:33.665", "createdAt" : "2026-06-13T08:29:33.665", "lastUpdated" : "2026-06-15T03:47:47.735", "ingestTimestamp" : "2026-06-13T08:29:33.665", "mongoId" : "6a25145b74d8ee00a00bb570", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440754/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Moderating sessions", "Data collection", "Research participants", "Consumer electronic research", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 8, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3760", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T02:36:16.124", "fingerprint" : "47d0d28926180d2849f602840a7418b7ed4f82cf557abea56ee6d742dfd90725", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194808/apply", "externalId" : "9d05e18a-f86c-4d95-ae6a-fcc44adbaffe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Follow clear instructions, Apply best responses to multiple choice situations, Perform data collected related tasks, Adhere to data collection protocol, Follow SOP to complete project objectives, Work one-on-one with research participants, Moderate research process, Assist research participants, Support day-to-day operations of collection projects, Report on collection projects, Moderate collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for long term sustainability, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner closely with Program Coordinators; Partner closely with Data Collection Leads; Partner closely with Data Collection Specialists; Communicate internally with team members", "toolProficiency" : [ "Microsoft Office", "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel to multiple sites within 50 miles, Lift up to 30lbs, Work indoor/outdoor 4-5 days per week", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience using Confluence, Experience using Quip, Experience using Jira, Experience using Salesforce, Experience moderating a 1:1 session with users independently in the field, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a remote role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Experience using Confluence, Quip, Jira, Salesforce - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Follow clear instructions. Apply best responses to multiple choice situations", "postedDate" : "2026-06-13T06:46:03.656", "createdAt" : "2026-06-13T06:46:03.656", "lastUpdated" : "2026-06-15T02:36:16.124", "ingestTimestamp" : "2026-06-13T06:46:03.656", "mongoId" : "69c94a6d9bc74574cbbb3760", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194808/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microsoft Office", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 5, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3756", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-14T22:27:01.343", "fingerprint" : "71fa44e5e691edfc7b1f596fb703859c6207901c2d8c1a144b0a226407454aa7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194803/apply", "externalId" : "3f9c4401-7ee0-4aa2-a218-8559f2666ac1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Data collection" ], "softSkillsList" : [ "Teamwork" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP to complete project objectives, Moderate and assist research participants, Support day-to-day operations of collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for sustainability of processes, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner with Program Coordinators; Partner with Data Collection Leads; Partner with Data Collection Specialists; Communicate with team members", "domainKnowledge" : "Consumer electronic research", "domainList" : [ "consumer-electronic-research" ], "domainSpecificKnowledge" : [ "Consumer electronic research" ], "toolProficiency" : [ "Confluence", "Quip", "Jira", "Salesforce" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel to multiple sites within 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Quip, Jira, Salesforce, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Skills: Data collection. Adhere to data collection protocol. Follow SOP to complete project objectives", "postedDate" : "2026-06-13T03:48:09.340", "createdAt" : "2026-06-13T03:48:09.340", "lastUpdated" : "2026-06-14T22:27:01.343", "ingestTimestamp" : "2026-06-13T03:48:09.340", "mongoId" : "69c94a6d9bc74574cbbb3756", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194803/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Teamwork", "Consumer electronic research", "Confluence", "Quip", "Jira", "Salesforce" ], "skillCount" : 7, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e54c40e2acd1b99a64", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:52.309", "fingerprint" : "96231c747d3ad883c5a260ef32d319463d913c5c38d376ce827e24a90888f24a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "externalId" : "6df00c61-823c-44cc-a9a6-74b2121c30c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "MS Office, Scripting languages, Unix/Linux, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data collection", "Data auditing", "Data markup" ], "hardSkillsList" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis" ], "softSkillsList" : [ "Organized", "Interpersonal skills", "Sense of humor", "Team work skills" ], "hardSkills" : [ { "name" : "Data collection procedure", "level" : "intermediate" }, { "name" : "Data recording", "level" : "intermediate" }, { "name" : "Information documentation", "level" : "intermediate" }, { "name" : "Data collection projects", "level" : "intermediate" }, { "name" : "Collection protocol changes", "level" : "intermediate" }, { "name" : "Quantitative data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Interpersonal skills" }, { "name" : "Sense of humor" }, { "name" : "Team work skills" } ], "majorSkills" : "Data collection, Data auditing, Data markup", "majorSkillsList" : [ "Data collection", "Data auditing", "Data markup" ], "coreResponsibilities" : "Learn collection procedure quickly, Execute collection procedure accurately, Record data, Document needed information, Identify issues in tools, Suggest tool enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Confluence", "JIRA", "Wiki" ], "documentationSkills" : "Information documentation", "innovationCreativity" : "Improvements in data collection projects", "problemSolvingSkills" : "Addressing issues and problems", "qualificationsBasic" : "Computer skills, Proficiency in MS Office, Moderating data collection, Conducting data collection, Data auditing, Data markup, Machine learning data processing needs, Experience with prototype assets, Experience in research, Experience with scripting languages, Unix/Linux environment, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience", "qualificationsPreferred" : "Bachelor's degree or equivalent, Behavioral data collection experience, Scenario-driven data collection experience, Quantitative data analysis experience, Consumer electronic device flashing, Consumer electronic device readiness, Hardware testing experience, Software testing experience, Salesforce experience, JIRA experience, Agile/scrum workflow experience, Data collection evaluation experience, Peer-to-peer feedback experience, Working with multiple stakeholders, Supporting quantitative research, Supporting qualitative research, iOS systems experience, Android systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data auditing, Data markup. Learn collection procedure quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T12:05:13.166", "createdAt" : "2026-06-13T12:05:13.166", "lastUpdated" : "2026-06-15T05:29:52.309", "ingestTimestamp" : "2026-06-13T12:05:13.166", "mongoId" : "69fda4e54c40e2acd1b99a64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data collection", "Data auditing", "Data markup", "Machine learning data processing", "MS Office", "Confluence", "JIRA", "Wiki" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305165f292fd229ceffebe", "title" : "Bilingual Business Development Associate - Portuguese", "company" : "ISN Software Corporation", "salary" : { "min" : 52000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Bilingual Business Development Associate in Dallas, TX, adjusted for the SaaS industry and company size." }, "location" : "Dallas, Texas, United States", "locations" : [ "Dallas", "Texas", "United States" ], "timestamp" : "2026-06-16T08:36:48.650", "fingerprint" : "ef2dc290f12e4b039c7ee8fb99fdf96ec951ece9269a26a45244a5dee408b558", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://isnetworld.com/en/about/careers/jobs?gh_jid=6030598004", "externalId" : "6030598004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our Company: ISN was established in 2001 and is a global leader in contractor and supplier management. We work closely with a variety of household-name clients in the US, Canada, Europe, Australia, Latin America, and the Middle East to connect them with safe and reliable contractors and suppliers and incorporate a level of due diligence in the contractor management process. Launch Your Career in Bilingual Client Relations & B2B Sales At ISN, your language skills can open the door to a long-term career in business development and account management. We’re looking for motivated, bilingual professionals who enjoy helping people, communicating with confidence, and solving problems in a fast-paced client environment. This role starts within our Customer Service team, where you’ll build foundational client communication and relationship-management skills that prepare you for future growth into B2B sales opportunities at ISN. If you’re customer-oriented, driven to grow professionally, and interested in developing a career in business development or sales, we’d love to meet you. What You’ll Do As a Business Development Associate, you’ll work directly with clients in a high-volume, customer service environment supporting ISN’s global contractor and supplier platform. Your responsibilities will include: Assisting English- and Portuguese-speaking customers via phone, chat and email Handling inbound client inquiries and providing proactive customer support Troubleshooting platform, account, and compliance-related issues Building trust and strong working relationships with clients Learning how businesses use ISN to manage contractors and suppliers Collaborating with internal teams on customer retention and engagement efforts Supporting sales and marketing initiatives as you develop within the role Requirements Bachelor’s degree from an accredited university and/or equivalent work experience Advanced fluency in English AND Portuguese (written and verbal) required Desire to work in customer service and move into B2B sales within 12-24 months Required to work in office at least 3 days a week Authorized to work in the U. S. and will not require visa sponsorship now or in the future Who should apply? You are the ideal candidate if you have: Customer-focused and comfortable in a high-call-volume environment Confident communicating with clients by phone and email A career aspiration to start in Customer Service and progress into B2B sales Proficient computer skills (Word, Excel, PowerPoint, e-mail applications) A diligence for in-depth learning of software programs and new concepts Strong retention skills and patience for difficult troubleshooting scenarios Training At ISN, we believe in investing in your success. That’s why we offer an 8-week training program that will equip you with the skills and knowledge you need to excel in your role. You will learn from experienced trainers and mentors in the areas of soft skills development, customer service excellence and ISN products and services. This training period is a crucial part of your journey at ISN, and it requires your full commitment and attendance every day. Compensation Base pay $37.50 per hour, with opportunity to earn up to $11,000 annual target incentives. Total annual potential compensation up to $89,000. Employees consistently using their bilingual language skills as an essential part of their normal job duties will be eligible for a Multilingual Bonus up to 10% of their annual salary. Growth & Career Development This position is designed as an entry point into long-term career opportunities within ISN. You will start in Customer Service with the goal of transitioning into a Client Development role focused on B2B sales and account management within 12-24 months based on performance and business needs. ISN Benefits* 100% company-paid monthly insurance premiums for employees and dependents Medical, Dental, Vision, and Life Insurance Employee assistance program 4% retirement matching Long-Term & Short-Term Disability Coverage Paid time off 0-1 year – 15 day (pro-rated first year) 1-5 years – 20 days 5-10 years – 25 days 10+ years – 30 days Holidays – 13 paid holidays Monthly cell phone reimbursement Complimentary parking space or monthly reimbursement for DART public transportation Team-building activities and events, including quarterly kick-off meetings and community volunteer day Matching charitable gift program Professional development & training opportunities Wellness Program: Focuses on community, financial, mental, nutrition, physical and social health Business casual, jeans allowed Onsite Requirements: Employees must be within a commutable distance to the office and be willing to come into the office for required trainings, events, team activities, and meetings. Employees are required to be in-person during training and at least 3 days per week on an ongoing basis. ISN does not provide work visa sponsorship for this position (such as H-1B visa sponsorship in the United States). Applicants for employment must possess work authorization/right to work without the need for sponsorship by the employer now or in the future. *All benefits are subject to change with notice to the employee All job offers will be contingent on successful completion of a drug screen and background check. ISN is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.", "summaryDescription" : "Bilingual Business Development Associate - Portuguese at ISN Software Corporation", "postedDate" : "2026-06-15T23:18:19.820", "createdAt" : "2026-06-15T23:18:19.820", "lastUpdated" : "2026-06-16T08:36:48.650", "ingestTimestamp" : "2026-06-15T23:18:19.820", "mongoId" : "6a305165f292fd229ceffebe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f092beec4dd3d93434a", "title" : "Data Collection Associate, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:19:34.820", "fingerprint" : "5ed69561117886a2e9e1cbe93ad4c3c8343ce3d0edca196ff57d034a438711b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381247/apply", "externalId" : "9b96c821-2ee9-4a60-ae13-a49538316438", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP to complete project objectives, Moderate and assist research participants, Support day-to-day operations of collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues, Propose solutions for long term sustainability of processes, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks on technical issues, Escalate technical issues as needed", "teamCollaboration" : "Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor 4-5 days per week, Traveling to multiple sites within 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Quip, Jira, Salesforce, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently, Experience moderating sessions with users of different age and demographics is a big plus, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 20.00 - 22.00 USD hourly", "summaryDescription" : "Data Collection Associate, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP to complete project objectives", "postedDate" : "2026-06-13T03:13:32.360", "createdAt" : "2026-06-13T03:13:32.360", "lastUpdated" : "2026-06-15T01:19:34.820", "ingestTimestamp" : "2026-06-13T03:13:32.360", "mongoId" : "69cf3f092beec4dd3d93434a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381247/apply", "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6d0574d8ee00a091cc71", "title" : "Product Data Collection Specialist", "company" : "Cartesian Systems", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T13:30:59.027", "fingerprint" : "46e8f173cff12c4b62ebe7784b9412826af178044836519525ed78a4c7d78002", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cartesiansystems/jobs/4284817009", "externalId" : "4284817009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Scripting", "Troubleshooting", "Debugging" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "majorSkills" : "Product testing, Data collection, Field operations", "majorSkillsList" : [ "Product testing", "Data collection", "Field operations" ], "coreResponsibilities" : "Conduct product testing, Collect data, Travel to customer sites, Evaluate system performance, Collect datasets, Validate datasets, Analyze datasets, Test new features, Test mobile applications, Test workflows, Investigate bugs, Investigate edge cases, Investigate unexpected behavior, Provide feedback to engineering, Perform basic scripting, Perform troubleshooting, Perform debugging, Improve testing processes, Document testing processes, Improve data collection processes, Document data collection processes, Assist with map edits, Assist with data quality reviews, Assist with operational support", "teamCollaboration" : "Engineering teams; Product teams; Operations teams", "domainKnowledge" : "Indoor environments; Retail industry; In-store inventory visibility", "domainList" : [ "indoor-environments", "retail-industry", "in-store-inventory-visibility" ], "domainSpecificKnowledge" : [ "Indoor environments", "Retail industry", "In-store inventory visibility" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document processes", "continuousLearning" : "Learning; Execution", "problemSolvingSkills" : "Problem-solving; Investigating problems; Troubleshooting; Debugging", "specialRequirements" : "Regular travel, Occasional regional travel, Travel to retail locations", "outcomesObjectives" : "Improve product accuracy; Improve product reliability; Increase quality; Increase consistency; Increase efficiency; Prioritize issues; Drive improvements", "qualificationsBasic" : "1+ years experience, Associate's or Bachelor's degree, Technical field degree, Equivalent practical experience", "qualificationsPreferred" : "Product testing experience, Field testing experience, QA experience, Beta testing experience, Experience collecting data, Experience validating data, Experience analyzing data, Retail experience, Customer support experience, Customer success experience, Field operations experience, Deployment roles experience, Python familiarity, SQL familiarity, Data analysis tools familiarity, Data pipelines support, Data quality monitoring support, Operational tooling support, Spanish language proficiency, Startup experience, Early-stage company experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Cartesian Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable, infrastructure-free solution already deployed by international fashion brands. Founded by an MIT engineering professor and alumni behind award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by a U. S. National Science Foundation SBIR Award, we’ve bootstrapped to a live product now deployed in multiple countries and are scaling aggressively. About the Role We are looking for a Product Data Collection Specialist to join Cartesian at a pivotal moment in our growth. This is a hands-on, impact-driven role focused on product testing, field operations, and data collection. You will spend significant time in retail environments evaluating product performance, collecting and validating data, identifying issues, and helping ensure our technology performs reliably in real-world conditions. Success in this role requires curiosity, attention to detail, and a strong sense of ownership. You should enjoy investigating problems, working directly with customers and retail environments, and collaborating closely with engineering, product, and operations teams to improve both our product and our processes. Location: In-person in Kendall Square, Cambridge, with regular travel to retail stores throughout the Boston area and occasional regional travel. Salary: $65,000 - $80,000 annually What You’ll Do Conduct product testing and data collection in retail store environments Travel to customer sites to evaluate system performance under real-world conditions Collect, validate, and analyze datasets used to improve product accuracy and reliability Test new product features, mobile applications, and workflows before deployment Investigate bugs, edge cases, and unexpected behavior, providing detailed feedback to engineering teams Perform basic scripting, troubleshooting, and debugging to support testing activities Improve and document testing and data collection processes to increase quality, consistency, and efficiency Assist with map edits, data quality reviews, and operational support activities Collaborate closely with engineering, product, and operations teams to prioritize issues and drive improvements Become a product expert and help represent customer and field perspectives within the organization Qualifications 1+ years of experience in a technical, operational, support, research, testing, or related role Strong attention to detail and ability to execute rigorous, repeatable testing processes Experience running scripts and working with technical tools Basic Python programming or scripting experience Strong problem-solving skills and ability to work independently in ambiguous environments Excellent written and verbal communication skills Professional, customer-facing demeanor Ability and willingness to travel regularly to retail locations Reliable, accountable, and highly organized Associate's or Bachelor's degree in a technical field or equivalent practical experience Nice to Have Experience with product testing, field testing, QA, or beta testing Experience collecting, validating, or analyzing data Experience in retail, customer support, customer success, field operations, or deployment roles Familiarity with Python, SQL, or data analysis tools Experience supporting data pipelines, data quality monitoring, or operational tooling Spanish language proficiency Startup or early-stage company experience Why Cartesian Work on hard, real-world problems with immediate and visible impact Join a small, highly technical team with significant ownership and autonomy Build systems that are deployed and used globally Collaborative, thoughtful, low-ego culture focused on learning and execution Opportunity to become a product expert and grow into roles across operations, deployment, testing, and product In-person team culture in the heart of Kendall Square, Cambridge If You’re Not Sure You’re a Perfect Fit We know that no one checks every box—and we don’t expect you to. If this role sounds exciting to you, and you think you could contribute to Cartesian’s mission, we encourage you to apply even if your experience doesn’t perfectly match the description. We care deeply about people who are curious, thoughtful, and motivated to learn, and we believe strong teams are built from a diversity of backgrounds, experiences, and perspectives. Interview Process Introductory conversation focused on motivation, background, and fit Technical exercise involving testing, analysis, and basic coding/problem-solving Follow-up technical discussion focused on reasoning, troubleshooting, and decision-making Final conversation with the hiring manager focused on ownership, communication, and culture fit References and offer", "summaryDescription" : "Product Data Collection Specialist at Cartesian Systems. Skills: Product testing, Data collection, Field operations. Conduct product testing. Collect data", "postedDate" : "2026-06-14T08:43:04.758", "createdAt" : "2026-06-14T08:43:04.758", "lastUpdated" : "2026-06-15T13:30:59.027", "ingestTimestamp" : "2026-06-14T08:43:04.758", "mongoId" : "6a2c6d0574d8ee00a091cc71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scripting", "Troubleshooting", "Debugging", "Product testing", "Data collection", "Field operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Indoor environments", "Retail industry", "In-store inventory visibility" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f092beec4dd3d93434b", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 17.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:58:29.389", "fingerprint" : "df2500f8314dde7ba09825a58565b96cc2620501e597eef78ac99626ee988721", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381246/apply", "externalId" : "d2f1069a-f16a-4d8f-83c9-0f79c03f8361", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Unix, Linux", "professionalSkills" : [ "Data collection", "Data processing" ], "hardSkillsList" : [ "Data collection", "Data processing" ], "softSkillsList" : [ "Team work" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team work" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information associated to data, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Fast-paced team environment; Highly collaborative environment; Dynamic work environment; Great team work", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues; Addressing problems", "specialRequirements" : "Reliable transportation", "qualificationsBasic" : "Experience working in a fast-paced, team environment, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Comfortable working in a fast paced, highly collaborative, dynamic work environment, Practical knowledge of machine learning data processing needs and trade-offs, Experience working with prototype assets, Experience in research or data collection, Experience with any scripting languages, Unix/Linux environment experience, A good sense of humor, A positive attitude, Great team work skills, Experience using MS Office, Excel experience, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience, Knowledge of Microsoft Office products and applications, Reliable transportation", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience using Confluence, Quip experience, Jira experience, Salesforce experience, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently in the field, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience working in a fast-paced, team environment - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 17.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T05:54:27.865", "createdAt" : "2026-06-13T05:54:27.865", "lastUpdated" : "2026-06-15T01:58:29.389", "ingestTimestamp" : "2026-06-13T05:54:27.865", "mongoId" : "69cf3f092beec4dd3d93434b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381246/apply", "salaryAnnualMin" : 35360, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data processing", "Team work", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3764", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:43:25.429", "fingerprint" : "fb262e47f702be0e0f2114333024c42a788943bd46366f372d93a67f47dc7938", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194786/apply", "externalId" : "6cb58604-4a39-4548-a15f-6c7ac23accb7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Unix/Linux", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "majorSkills" : "Data collection, Data annotation", "majorSkillsList" : [ "Data collection", "Data annotation" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Working with other employees; Communicate effectively and respectfully", "domainKnowledge" : "Natural language data labeling; Data annotation; Linguistic annotation; Data markup; Machine learning data processing", "domainList" : [ "natural-language-data-labeling", "data-annotation", "linguistic-annotation", "data-markup", "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Natural language data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "communicationSkills" : "Communicate effectively; Communicate respectfully", "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Identify issues; Address issues; Address problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. 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Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android systems 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. 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The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent 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. 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Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, quantitative data analysis, and statistics - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:00:28.863", "createdAt" : "2026-06-13T02:00:28.863", "lastUpdated" : "2026-06-15T01:23:35.587", "ingestTimestamp" : "2026-06-13T02:00:28.863", "mongoId" : "69c94a6d9bc74574cbbb3762", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194789/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data markup", "Data collection", "Quantitative analysis", "Statistics", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data annotation", "Data labeling", "Linguistic annotation", "Natural language data labeling", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a660974d8ee00a062ba17", "title" : "Data Collection Associate I, V-CARE", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 16.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T02:29:02.349", "fingerprint" : "1673f41c91d59761f30e1f14ec04a243e02df480ed6756647bd56f68833e5643", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443281/apply", "externalId" : "02bb1422-bfa6-4574-8585-8ccd6ac4d438", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Adhere to data collection protocol, Follow SOP to complete project objectives, Moderate and assist research participants, Support day-to-day operations of collection projects, Own defined tasks within projects, Improve parts of the data collection processes, Deliver high quality work, Communicate internally with team members, Identify issues and propose solutions, Support several projects at one time, Accept re-prioritization as required, Perform basic troubleshooting tasks, Escalate technical issues as needed, Work indoor/outdoor in the field, Travel to multiple sites", "teamCollaboration" : "Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists; Work one-on-one with research participants; Communicate internally with team members", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Work indoor/outdoor 4-5 days per week, Traveling to multiple sites within 50 miles, Lift up to 30lbs", "qualificationsBasic" : "Knowledge of Microsoft Office products, Reliable transportation", "qualificationsPreferred" : "Experience in research or data collection, Experience using Confluence, Quip, Jira, Salesforce, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently, Experience moderating sessions with users of different age and demographics is a big plus, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Associates will follow clear instructions and apply the best responses to multiple choice situations. The ideal candidate will be organized, detail oriented and have excellent interpersonal skills. They should be able to perform data collected related tasks and procedures in assigned areas with guidance from Data Collection Specialists and Leads. Key job responsibilities Key job responsibilities * Partner closely with Program Coordinators/Data Collection Leads/Data Collection Specialists by adhering to data collection protocol and follow SOP to complete project objectives * Work one-on-one with research participants by moderating and assisting them through the research process to ensure research objectives are met * Support day-to-day operations of collection projects including reporting, moderating, etc * Own defined tasks within projects focused on improving parts of the data collection processes * Deliver high quality work under tight deadlines * Communicate internally with team members to identify issues and propose solutions for long term sustainability of processes * Support several projects at one time and accept re-prioritization as required * Perform basic troubleshooting tasks on any technical issues during collection and escalate as needed * Work indoor/outdoor 4-5 days per week in the field, traveling to multiple sites within 50 miles (this is not a work from home role) * Lift up to 30lbs when needed Basic Qualifications: - Knowledge of Microsoft Office products and applications - A good sense of humor, a positive attitude and great team work skills - Reliable transportation Preferred Qualifications: - Experience in research or data collection - Experience using Confluence, Quip, Jira, Salesforce - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - Experience moderating a 1:1 session with users independently in the field - Experience moderating sessions with users of different age and demographics is a big plus - Consumer electronic research experience 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. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 16.00 - 24.00 USD hourly", "summaryDescription" : "Data Collection Associate I, V-CARE at Amazon.com Services LLC. Adhere to data collection protocol. Follow SOP to complete project objectives", "postedDate" : "2026-06-13T06:25:23.670", "createdAt" : "2026-06-13T06:25:23.670", "lastUpdated" : "2026-06-15T02:29:02.349", "ingestTimestamp" : "2026-06-13T06:25:23.670", "mongoId" : "6a2a660974d8ee00a062ba17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443281/apply", "salaryAnnualMin" : 33280, "salaryAnnualMax" : 49920, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305762f292fd229cf390d6", "title" : "Collection Manager", "company" : "Toss", "industry" : "FinTech", "salary" : { "min" : 6.5E7, "max" : 9.5E7, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Collection Manager in Seoul, South Korea, adjusted for the banking industry and company size." }, "location" : "Seoul, Seoul, South Korea", "locations" : [ "Seoul", "Seoul", "South Korea" ], "timestamp" : "2026-06-16T08:37:21.889", "fingerprint" : "3c76bb1850513c0599ccd712c85379d626012e1ff6679bada4c43ad391c05e37", "source" : "greenhouse", "language" : "ko", "applyUrl" : "https://toss.im/career/job-detail?gh_jid=7773277003", "externalId" : "7773277003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "state" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5534363,126.9697994" } ], "locationText" : "Seoul, Seoul, South Korea", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Data analysis", "Strategy planning", "Action item execution", "Recovery strategy", "Operational improvement", "Data analysis", "Strategy development", "Action item execution", "Recovery operations", "Operational improvement", "Data analysis", "Experimentation", "Collection management", "Innovation" ], "hardSkillsList" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Fee structure design", "level" : "intermediate" }, { "name" : "Recovery strategy design", "level" : "intermediate" }, { "name" : "Operational improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategy planning", "level" : "intermediate" }, { "name" : "Action item execution", "level" : "intermediate" }, { "name" : "Recovery operations management", "level" : "intermediate" }, { "name" : "Recovery efficiency improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Collection strategy, Outsourcing management, Recovery operations, Data analysis", "majorSkillsList" : [ "Collection strategy", "Outsourcing management", "Recovery operations", "Data analysis" ], "coreResponsibilities" : "Manage performance of collection outsourcing partners, Manage contracts with collection outsourcing partners, Operate and manage collection outsourcing business, Plan fee structures for outsourcing partners, Design and execute operational plans to increase recovery, Analyze delinquency and recovery performance metrics, Plan recovery strategies based on analysis, Execute action items for recovery strategies, Manage short-term recovery operations, Continuously improve outsourcing partner recovery efficiency, Innovate collection management through data analysis and experiments", "domainKnowledge" : "Post-loan management; Collection outsourcing; Fee structures; Recovery metrics; Regulatory changes; Personal debtor protection act; Personal business loan 119", "domainList" : [ "post-loan-management", "collection-outsourcing", "fee-structures", "recovery-metrics", "regulatory-changes", "personal-debtor-protection-act", "personal-business-loan-119" ], "domainSpecificKnowledge" : [ "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "communicationSkills" : "Stakeholder coordination", "problemSolvingSkills" : "Data analysis; Strategy development", "outcomesObjectives" : "Increase recovery rates; Improve outsourcing partner recovery efficiency; Innovate collection management", "qualificationsBasic" : "3+ years of experience in post-loan management in the financial sector, Experience operating collection outsourcing partners, Experience planning or changing fee structures, Experience changing operational methods, Domain knowledge of post-loan management policies and systems, High understanding of post-loan management, Ability to handle data proficiently, Ability to connect performance analysis to strategy development, Ability to proactively coordinate communication with various stakeholders", "qualificationsPreferred" : "Experience in write-offs, legal actions, or subrogation, Experience reflecting regulatory changes in collection operations, Communication experience with industry groups or regulatory authorities, Experience resolving internal discussion points", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "합류하게 될 팀에 대해 알려드려요 토스뱅크 Collection Manager는 Collection Tribe 내 Collection Strategy Team에 속하게 돼요. Collection Strategy Team은 NPL Management Team과 함께 토스뱅크의 여신 사후관리 업무를 담당해요. 그 중 Collection Strategy Team은 연체가 부실로 넘어가지 않도록 방어하고, 추심·회수 전략을 수립하여 명확한 액션아이템을 도출하는 역할을 맡고 있어요. 이번에 합류하실 분은 특히 채권추심 업무위탁사(위임사) 운영을 중심으로, 회수율을 높이기 위한 다양한 시도를 함께하실 분을 기대하고 있어요. 합류하면 함께할 업무예요 채권추심 업무위탁사(위임사)의 성과 관리, 계약 관리 등 채권추심 업무위탁 관련 업무 전반을 운영·관리해요. 위임사 수수료 체계(스킴)를 기획하고, 회수 성과를 높이기 위한 운영 방안을 설계·실행해요. 연체율 및 회수 관련 성과 지표를 분석하고, 분석 결과를 바탕으로 회수 전략을 기획하여 액션 아이템을 실행해요. 연체가 장기화되지 않도록 단기 회수 운영을 관리하며, 위임사의 회수 효율을 지속적으로 개선해요. 데이터 분석과 다양한 실험을 통해 기존 금융사의 관습과는 다른 채권관리의 혁신을 만들어요. 이런 분과 함께하고 싶어요 금융권에서 여신 사후관리 업무를 3년 이상 경험해오신 분을 찾고 있어요. 특히 채권추심 업무위탁사(위임사) 운영 경험이 있고, 수수료 스킴을 직접 기획하거나 운영 방식에 변화를 만들어본 경험이 있으신 분이 필요해요. 여신 사후관리 정책 및 제도에 대한 도메인 지식과 전문성을 갖춘 분이 필요해요. 사후관리 업무 전반에 대한 이해도가 높고, 데이터를 능숙하게 다루어 성과 분석과 전략 도출까지 연결할 수 있으면 좋아요. 다양한 이해관계자와의 커뮤니케이션을 주도적으로 조율할 수 있는 역량이 있으면 좋아요. 매상각·법조치·대위변제 등 사후관리 전반의 운영 경험이 있다면 좋아요. 이력서는 이렇게 작성하시는 걸 추천해요 채권추심 업무위탁(위임사) 운영 관련해서 회수 성과를 향상시킨 경험을 구체적으로 작성해주세요. 특히 수수료 스킴을 기획하거나 운영 방식에 변화를 준 사례가 있다면 꼭 담아주세요. 개인채무자보호법, 개인사업자대출119 등 제도 변화에 맞춰 채권추심이나 채권추심 업무위탁 등 실질적인 여신관리 업무에 이를 반영한 구체적인 경험을 작성해주세요. 그 과정에서 업권 단체 또는 감독 당국 등과 소통한 경험이나 내부 논의 과정에서 있었던 쟁점, 그리고 이를 어떻게 해결했는지가 드러나면 더욱 좋아요. 토스뱅크팀은 서류 내용의 구체성을 중요하게 생각해요. 기존 업무를 단순한 시계열로 나열하기보다는, JD를 기준으로 사례와 성과에 기반한 경험을 상세히 기재해주세요. 토스뱅크로의 합류 여정 서류접수 > 직무 인터뷰 > 문화적합성 인터뷰 > 레퍼런스 체크 > 처우협의 > 최종합격 및 입사 꼭 확인해주세요 이력서 및 제출 서류에 허위 사실이 발견되거나 근무 이력 중 징계사항이 확인될 경우, 채용이 취소될 수 있어요. 장애인 및 국가보훈대상자는 지원 시 관련법에 따라 우대하고 있어요. 토스뱅크 내부규정상 결격사유 해당자 또는 금융기관 인력 채용 상 결격사유 해당자는 채용이 취소될 수 있어요. 함께 할 동료를 위한 한마디 \"새로운 은행의 기반을 튼튼히 닦는 일에 임팩트있게 기여할 수 있어요.\" 토스뱅크는 중저신용 고객을 포용하여 새로운 은행을 만들고 있어요. 앞으로 토스뱅크의 대출이 더욱 다양해지고 늘어나더라도, 단단하게 운영할 수 있도록 하는 것이 저희의 가장 큰 목표예요. 이 목표 달성을 위해서 안정적인 연체율/회수율 관리에 자신 있는 동료를 기다리고 있으니 많은 지원과 관심 부탁드려요!", "summaryDescription" : "Collection Manager at Toss. Skills: Collection strategy, Outsourcing management, Recovery operations, Data analysis. Manage performance of collection outsourcing partners. Manage contracts with collection outsourcing partners", "postedDate" : "2026-06-15T23:29:25.135", "createdAt" : "2026-06-15T23:29:25.135", "lastUpdated" : "2026-06-16T08:37:21.889", "ingestTimestamp" : "2026-06-15T23:29:25.135", "mongoId" : "6a305762f292fd229cf390d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Experimentation", "Collection strategy", "Outsourcing management", "Recovery operations", "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Recovery strategy", "Strategy development", "Collection management", "Innovation", "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "skillCount" : 28, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6d1a74d8ee00a091d36c", "title" : "Associate Software Engineer, Audio (NTD)", "company" : "Nintendo", "salary" : { "min" : 50.0, "max" : 81.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, WA", "locations" : [ "Redmond", "WA" ], "timestamp" : "2026-06-16T07:02:57.717", "fingerprint" : "8dccc3fc301c6b15bb272a58ec53557ffee49591f0e12f844aa7af3f8131f055", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nintendo.com/?gh_jid=4251061009", "externalId" : "4251061009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Nintendo Technology Development The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch™ system and the Nintendo 3DS™ family of portable systems. Since 1983, when it launched the Nintendo Entertainment System™, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy™, Game Boy Advance, Nintendo DS™ family of systems, Super NES™, Nintendo 64™, Nintendo GameCube™, Wii™ and Wii U™ systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokémon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies. Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other. The Redmond audio team is part of a small global group that researches and develops system software for current and future Nintendo game systems. We are looking for a junior engineer with attention to detail and a passion for audio technologies. You will participate in prototyping, developing, maintaining, debugging, profiling, optimizing, and testing audio firmware. The candidate should have experience with digital audio, knowledge of C/C++, and excellent communications skills. DESCRIPTION OF DUTIES Design and implement audio system software. Characterize, analyze, organize, and present detailed performance metrics of features at a large scale. Optimize, maintain, validate, and diagnose failures in existing and new systems. SUMMARY OF REQUIREMENTS BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or related field. Coursework or foundational knowledge in digital signal processing (DSP). Experience with real-time embedded and cross-platform development. 3 or more years of professional experience with C/C++ programming. Strong analytical and problem-solving skills. PREFERRED REQUIREMENTS: Knowledge of DSP architectures (eg. Hifi, Hexagon, ARM SIMD). Experience with acoustic and audio signal processing algorithms. Familiarity with audio peripherals and interfaces (eg. I2S, TDM, PDM, DMA). Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position is onsite in Redmond, WA, and not open to remote status at this time. This contract position includes the base pay range listed below and is eligible for benefits through the employing agency. Agency benefits include eligibility for medical insurance, employee assistance program, and paid sick leave. All benefits are subject to elections, eligibility requirements, plan and program terms. Benefits offerings will be confirmed at the time of offer by the employing agency, and may differ depending on the employing agency partner. Pay range: $50.62—$81 USD", "summaryDescription" : "Associate Software Engineer, Audio (NTD) at Nintendo", "postedDate" : "2026-06-14T19:59:31.405", "createdAt" : "2026-06-14T19:59:31.405", "lastUpdated" : "2026-06-16T07:02:57.717", "ingestTimestamp" : "2026-06-14T19:59:31.405", "mongoId" : "6a2c6d1a74d8ee00a091d36c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 104000, "salaryAnnualMax" : 168480, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ace74d8ee00a090e151", "title" : "Audio Engineer", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "INN - Remote - US", "locations" : [ "INN - Remote - US" ], "timestamp" : "2026-06-16T00:59:58.081", "fingerprint" : "a93f2a7b78503b929365a72f98612f52ed60ab6e42723366c40e4aabd0ef9bf9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4282308009", "externalId" : "4282308009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Ffmpeg, Sox, Pydub, Librosa", "professionalSkills" : [ "Signal chain", "Post-processing", "Mastering", "Acoustic QA", "Technical specifications", "Loudness targets", "Noise floors", "Channel configurations", "Acoustic profile", "Signal-chain testing", "Customer acoustic requirements", "Recording setups", "QA processing", "Signal issues" ], "hardSkillsList" : [ "Audio processing", "Batch processing", "Quality metrics" ], "hardSkills" : [ { "name" : "Audio processing", "level" : "intermediate" }, { "name" : "Batch processing", "level" : "intermediate" }, { "name" : "Quality metrics", "level" : "intermediate" } ], "majorSkills" : "Audio signal chain, Post-processing pipeline, Technical specifications, Acoustic quality", "majorSkillsList" : [ "Audio signal chain", "Post-processing pipeline", "Technical specifications", "Acoustic quality" ], "coreResponsibilities" : "Own end-to-end audio signal chain, Own post-processing pipeline, Define technical specifications, Document technical specifications, Design Innodata sound signature, Maintain Innodata sound signature, Build technical QA, Specify recording setups, Validate recording setups, Partner with Solutions Architect, Translate customer requirements, Drive tooling selection, Configure tooling, Automate processing, Troubleshoot acoustic issues, Troubleshoot signal issues", "teamCollaboration" : "Partner with Solutions Architect", "domainKnowledge" : "Speech AI; Generative AI; AI systems; Speech data for AI/ML; TTS datasets; ASR datasets; Model performance", "domainList" : [ "speech-ai", "generative-ai", "ai-systems", "speech-data-for-ai-ml", "tts-datasets", "asr-datasets", "model-performance" ], "domainSpecificKnowledge" : [ "Speech AI", "Generative AI", "AI systems", "Speech data for AI/ML", "TTS datasets", "ASR datasets", "Model performance" ], "toolProficiency" : [ "Ffmpeg", "Sox", "Pydub", "Librosa" ], "documentationSkills" : "Document technical specifications", "problemSolvingSkills" : "Troubleshoot acoustic issues; Troubleshoot signal issues", "outcomesObjectives" : "Deliver consistent technical bar; Push quality efficiency; Push processing efficiency", "qualificationsBasic" : "Audio engineering background, Deep fluency in audio technical specs, Experience producing consistent audio quality, Comfort with audio tooling and automation, Precision and process orientation, Experience with speech/voice data, Familiarity with multilingual recording, Knowledge of speech quality metrics", "qualificationsPreferred" : "Scripting for batch processing/QA is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Innodata produces the voice and audio datasets behind the world's leading speech AI. We're hiring an Audio Engineer to own the technical heart of that work: the signal chain, the post-processing recipe, the technical specifications, and the consistent acoustic quality — the “sound signature” — that defines an Innodata dataset. You'll ensure every hour of audio we deliver, across dozens of languages and recording conditions, meets a precise and consistent technical bar. You'll design the recipe, build the validation, and continuously push the quality and efficiency of how we capture and process audio. What You’ll Own: Own the end-to-end audio signal chain and post-processing pipeline for all collection programs. Define and document technical specifications: sample rates, bit depth, formats, loudness (LUFS) targets, noise floors, channel configurations. Design and maintain the “Innodata sound signature” — a consistent, spec-compliant acoustic profile across studio, remote, real-world, and telephonic captures Build technical QA: automated and manual checks that validate audio against spec before delivery. Specify and validate recording setups for vendors and remote contributors (signal-chain testing in a small in-house studio). Partner with the Solutions Architect to translate customer acoustic requirements into achievable technical recipes. Drive tooling: help select and configure recording/QA/processing tools; automate where possible. Troubleshoot acoustic and signal issues across diverse capture environments. You’ll Thrive in This Role If You Have: Strong audio engineering background: signal chain, recording, post-processing, mastering, and acoustic QA. Deep fluency in audio technical specs (sample rate, bit depth, LUFS, formats, codecs) and the ability to define and enforce them. Experience producing consistent audio quality across varied recording conditions and locations. Comfort with audio tooling and automation (scripting for batch processing/QA is a strong plus). Precision and process orientation — you care about consistency at scale, not just one great recording. Experience with speech/voice data for AI/ML (TTS or ASR datasets). Familiarity with multilingual recording and remote/distributed capture. Knowledge of speech quality metrics and how acoustic choices affect downstream model performance. Scripting (Python) for audio processing pipelines (e.g., ffmpeg, sox, pydub, librosa). The expected salary range for this position is $120,000 – $160,000 USD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Audio Engineer at Innodata Inc.. Skills: Audio signal chain, Post-processing pipeline, Technical specifications, Acoustic quality. Own end-to-end audio signal chain. Own post-processing pipeline", "postedDate" : "2026-06-14T20:07:38.515", "createdAt" : "2026-06-14T20:07:38.515", "lastUpdated" : "2026-06-16T00:59:58.081", "ingestTimestamp" : "2026-06-14T20:07:38.515", "mongoId" : "6a2c6ace74d8ee00a090e151", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Audio processing", "Batch processing", "Quality metrics", "Audio signal chain", "Post-processing pipeline", "Technical specifications", "Acoustic quality", "Signal chain", "Post-processing", "Mastering", "Acoustic QA", "Loudness targets", "Noise floors", "Channel configurations", "Acoustic profile", "Signal-chain testing", "Customer acoustic requirements", "Recording setups", "QA processing", "Signal issues", "Speech AI", "Generative AI", "AI systems", "Speech data for AI/ML", "TTS datasets", "ASR datasets", "Model performance", "Ffmpeg", "Sox", "Pydub", "Librosa" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8670f0b99d5843fac9", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 3.5E7, "max" : 5.5E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Solutions role in Heredia, Costa Rica, adjusted for the technology industry and Amazon's company size." }, "location" : "Heredia, Heredia, CRI", "locations" : [ "Heredia, Heredia, CRI" ], "timestamp" : "2026-06-15T02:24:43.038", "fingerprint" : "ac091050f22240d36d907ff5de523878826a50923e48c5243b11b20f0ea07ada", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139800/apply", "externalId" : "c2c8fc54-4d31-436c-af90-278fc2e3a720", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Heredia", "state" : "Heredia", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9984272,-84.1171215" } ], "locationText" : "Heredia, Heredia, Costa Rica", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "ML data operations", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios" ], "hardSkillsList" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data creation strategies", "level" : "intermediate" }, { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data operations, Customer relationship management, Technical advisory", "majorSkillsList" : [ "ML data operations", "Customer relationship management", "Technical advisory" ], "coreResponsibilities" : "Drive and document ML/GenAI solutions, Transform research objectives into requirements, Coordinate across teams for delivery, Align stakeholders, Own relationships with customer scientists, Provide consultation on ML workflow capabilities, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "GenAI data collections" ], "communicationSkills" : "Customer communication; Technical consultation", "documentationSkills" : "Technical documentation; Technical guidelines", "outcomesObjectives" : "Deliver meaningful change for models; Maximize customer value", "qualificationsBasic" : "2+ years of experience in ML data operations, Understanding of data annotation/ML workflows, Outstanding customer communication and management skills, Technical consultation skills", "qualificationsPreferred" : "Bachelor's degree in Business, Computer Science, or related field, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Project management expertise, Technical account management experience, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data operations, Customer relationship management, Technical advisory. Drive and document ML/GenAI solutions. Transform research objectives into requirements", "postedDate" : "2026-06-13T04:25:30.067", "createdAt" : "2026-06-13T04:25:30.067", "lastUpdated" : "2026-06-15T02:24:43.038", "ingestTimestamp" : "2026-06-13T04:25:30.067", "mongoId" : "693c2b8670f0b99d5843fac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139800/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows", "Leadership", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios", "Project management", "GenAI data collections" ], "skillCount" : 12, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5f4474d8ee00a08ea789", "title" : "Conversational Data Collection Associate (Audio Recording) - Portuguese", "company" : "Volga Partners", "industry" : "Translation and Localization", "salary" : { "min" : 300000.0, "max" : 600000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level remote roles, adjusted for the Portuguese language requirement and the temporary employment type." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-14T23:57:21.179", "fingerprint" : "dda0d1a6a10f2d3cd06584e967b74a48226b60f3f836377acfd72a576769792a", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/0E1B62277A/apply", "externalId" : "0E1B62277A", "industryFunction" : { }, "locationPoint" : "39.3999,-8.2245", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "TEMPORARY", "technicalSkills" : "Google Sheets, Google Drive, Zencastr", "hardSkillsList" : [ "Audio quality maintenance", "File management" ], "hardSkills" : [ { "name" : "Audio quality maintenance", "level" : "intermediate" }, { "name" : "File management", "level" : "intermediate" } ], "majorSkills" : "Audio recording, Conversational recording", "majorSkillsList" : [ "Audio recording", "Conversational recording" ], "coreResponsibilities" : "Record conversations, Speak naturally, Speak clearly, Participate in role-based scenarios, Ensure recordings are quiet, Upload files correctly, Re-record assignments, Complete assignments within deadlines", "toolProficiency" : [ "Google Sheets", "Google Drive", "Zencastr" ], "communicationSkills" : "Speak naturally; Speak clearly", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Ability to follow instructions, Meet deadlines, Attention to detail, Availability aligned with project timelines", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "### **Job Overview** We are seeking participants for a conversational audio recording project involving natural customer support-style conversations using provided prompts and instructions. Selected participants may complete recordings individually or with a partner depending on the assignment type and language requirements. Please note: submitting interest through Workable and/or the referral form does not guarantee participation or selection for the project. Due to project volume, language requirements, and limited assignment availability, participant selection and scheduling will be based on operational needs, language alignment, quality review, and a first come, first served model. ### **Project Description ** This project involves recording approximately 1 hour of natural audio conversations based on customer support scenarios and prompts. Depending on the assignment, participants may: * Record individually or with a partner * Play a role such as Customer or Support Agent * Be asked to record in one or two languages depending on the assignment scope Example conversation topics may include: * Verifying account details * Solving basic technical issues * Explaining simple policies or troubleshooting steps All recordings must be completed in a quiet, noise-free environment to ensure audio quality standards are met. Participant Responsibilities * Record conversations following provided instructions and prompts * Speak naturally and clearly during recordings * Participate in assigned role-based scenarios * Ensure recordings are completed in a quiet environment * Upload files correctly following project instructions * Re-record assignments if quality requirements are not met * Complete assignments within project deadlines Selection & Participation Process 1. Participant submits interest through Workable and/or the referral form 1. Participant information is reviewed based on language alignment and project needs 1. Selected participants may receive additional onboarding instructions and agreement documentation 1. Approved participants are scheduled based on project demand, pairing availability, and language needs Submission of interest does not guarantee immediate assignment, onboarding, or participation. **Payment Information ** Participants will be paid per approved assignment. * Assignments involve approximately 1 hour of recording time * Pay Rate for 1 Hour of Recording: $25.00 USD * Payment is based on approved work and successful quality review * Work that does not meet quality standards may require re-recording or may not be approved for payment * Payment timelines and methods will vary depending on participant onboarding type and project structure Important Requirements * Approximately 1 hour of recording per assignment * Speak naturally (not robotic or scripted sounding) * Follow instructions carefully * Maintain clear audio quality with minimal background noise * Be available for potential re-record requests if needed Technical Requirements * Computer or laptop with internet access * Working microphone/headset * Ability to use: * Google Sheets * Google Drive * Zencastr * Ability to download, rename, and upload files correctly Eligibility Criteria * Strong communication skills in required language(s) * Ability to follow instructions and meet deadlines * Attention to detail * Ability to participate in conversational recordings * Availability aligned with project timelines and assignment needs ### **Agreement & Acknowledgement ** Selected participants may be required to sign an agreement and acknowledgement form confirming: * Understanding of project instructions and requirements * Acceptance of quality review and payment terms * Consent for project-related use of recorded audio data **Fixed Pay Rates (Project-Specific / No Ranges) ** Please note: These approved premium rates are specific to this project scope and launch phase only. Rates are fixed and non-negotiable. For participants currently onboarded through Deel: Existing Deel rates and onboarding structures may remain in place depending on assignment type and operational alignment.", "summaryDescription" : "Conversational Data Collection Associate (Audio Recording) - Portuguese at Volga Partners. Skills: Audio recording, Conversational recording. Record conversations. Speak naturally", "postedDate" : "2026-05-25T00:00:00.000", "createdAt" : "2026-06-12T22:51:42.662", "lastUpdated" : "2026-06-14T23:57:21.179", "ingestTimestamp" : "2026-06-12T22:51:42.662", "mongoId" : "6a2c5f4474d8ee00a08ea789", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/0E1B62277A", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Audio quality maintenance", "File management", "Audio recording", "Conversational recording", "Google Sheets", "Google Drive", "Zencastr" ], "skillCount" : 7, "jobCategory" : "other", "jobSubcategory" : "translation-and-localization", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 20, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c5f4474d8ee00a08ea78a", "title" : "Conversational Data Collection Associate (Audio Recording) - Portuguese", "company" : "Volga Partners", "industry" : "Translation and Localization", "salary" : { "min" : 300000.0, "max" : 600000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level remote roles, with adjustments for the Portuguese language requirement and the temporary employment type." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T00:17:18.053", "fingerprint" : "bdcf83b992963d46be9f996a6642a84eb577565ee002e2ef6322fa4525d6d0df", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/DCC3F943C3/apply", "externalId" : "DCC3F943C3", "industryFunction" : { }, "locationPoint" : "-14.235,-51.9253", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "TEMPORARY", "technicalSkills" : "Google Sheets, Google Drive, Zencastr", "hardSkillsList" : [ "Audio quality maintenance", "File management" ], "hardSkills" : [ { "name" : "Audio quality maintenance", "level" : "intermediate" }, { "name" : "File management", "level" : "intermediate" } ], "majorSkills" : "Audio recording, Conversational data", "majorSkillsList" : [ "Audio recording", "Conversational data" ], "coreResponsibilities" : "Record conversations, Speak naturally and clearly, Participate in role-based scenarios, Ensure recordings are completed in quiet environment, Upload files correctly, Re-record assignments if quality requirements not met, Complete assignments within project deadlines", "toolProficiency" : [ "Google Sheets", "Google Drive", "Zencastr" ], "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Ability to follow instructions, Meet deadlines, Attention to detail, Availability aligned with project timelines", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "### **Job Overview** We are seeking participants for a conversational audio recording project involving natural customer support-style conversations using provided prompts and instructions. Selected participants may complete recordings individually or with a partner depending on the assignment type and language requirements. Please note: submitting interest through Workable and/or the referral form does not guarantee participation or selection for the project. Due to project volume, language requirements, and limited assignment availability, participant selection and scheduling will be based on operational needs, language alignment, quality review, and a first come, first served model. ### **Project Description ** This project involves recording approximately 1 hour of natural audio conversations based on customer support scenarios and prompts. Depending on the assignment, participants may: * Record individually or with a partner * Play a role such as Customer or Support Agent * Be asked to record in one or two languages depending on the assignment scope Example conversation topics may include: * Verifying account details * Solving basic technical issues * Explaining simple policies or troubleshooting steps All recordings must be completed in a quiet, noise-free environment to ensure audio quality standards are met. Participant Responsibilities * Record conversations following provided instructions and prompts * Speak naturally and clearly during recordings * Participate in assigned role-based scenarios * Ensure recordings are completed in a quiet environment * Upload files correctly following project instructions * Re-record assignments if quality requirements are not met * Complete assignments within project deadlines Selection & Participation Process 1. Participant submits interest through Workable and/or the referral form 1. Participant information is reviewed based on language alignment and project needs 1. Selected participants may receive additional onboarding instructions and agreement documentation 1. Approved participants are scheduled based on project demand, pairing availability, and language needs Submission of interest does not guarantee immediate assignment, onboarding, or participation. **Payment Information ** Participants will be paid per approved assignment. * Assignments involve approximately 1 hour of recording time * Pay Rate for 1 Hour of Recording: $25.00 USD * Payment is based on approved work and successful quality review * Work that does not meet quality standards may require re-recording or may not be approved for payment * Payment timelines and methods will vary depending on participant onboarding type and project structure Important Requirements * Approximately 1 hour of recording per assignment * Speak naturally (not robotic or scripted sounding) * Follow instructions carefully * Maintain clear audio quality with minimal background noise * Be available for potential re-record requests if needed Technical Requirements * Computer or laptop with internet access * Working microphone/headset * Ability to use: * Google Sheets * Google Drive * Zencastr * Ability to download, rename, and upload files correctly Eligibility Criteria * Strong communication skills in required language(s) * Ability to follow instructions and meet deadlines * Attention to detail * Ability to participate in conversational recordings * Availability aligned with project timelines and assignment needs ### **Agreement & Acknowledgement ** Selected participants may be required to sign an agreement and acknowledgement form confirming: * Understanding of project instructions and requirements * Acceptance of quality review and payment terms * Consent for project-related use of recorded audio data **Fixed Pay Rates (Project-Specific / No Ranges) ** Please note: These approved premium rates are specific to this project scope and launch phase only. Rates are fixed and non-negotiable. For participants currently onboarded through Deel: Existing Deel rates and onboarding structures may remain in place depending on assignment type and operational alignment.", "summaryDescription" : "Conversational Data Collection Associate (Audio Recording) - Portuguese at Volga Partners. Skills: Audio recording, Conversational data. Record conversations. Speak naturally and clearly", "postedDate" : "2026-05-25T00:00:00.000", "createdAt" : "2026-06-12T22:34:00.534", "lastUpdated" : "2026-06-15T00:17:18.053", "ingestTimestamp" : "2026-06-12T22:34:00.534", "mongoId" : "6a2c5f4474d8ee00a08ea78a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/DCC3F943C3", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Audio quality maintenance", "File management", "Audio recording", "Conversational data", "Google Sheets", "Google Drive", "Zencastr" ], "skillCount" : 7, "jobCategory" : "other", "jobSubcategory" : "translation-and-localization", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 21, "hasLocation" : true, "hasGeo" : false }, { "id" : "693c2b8a70f0b99d5843fccf", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 3.5E7, "max" : 5.5E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Solutions role in Heredia, Costa Rica, adjusted for the technology industry and Amazon's company size." }, "location" : "Heredia, Heredia, CRI", "locations" : [ "Heredia, Heredia, CRI" ], "timestamp" : "2026-06-15T01:37:15.165", "fingerprint" : "475e6e88806db91de1fbe2130004f55252b2788eafd54a9b3ecf8b74ea3b5fb7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139141/apply", "externalId" : "f190b93e-53eb-4fd9-b17b-573ddd4fd104", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Heredia", "state" : "Heredia", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9984272,-84.1171215" } ], "locationText" : "Heredia, Heredia, Costa Rica", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "ML data operations", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios" ], "hardSkillsList" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data creation strategies", "level" : "intermediate" }, { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data solutions, Customer consultation, Data collection requirements", "majorSkillsList" : [ "ML data solutions", "Customer consultation", "Data collection requirements" ], "coreResponsibilities" : "Drive and document ML/GenAI solutions, Transform research objectives into requirements, Coordinate across teams for delivery, Align stakeholders, Own relationships with customer scientists, Provide consultation on ML workflow capabilities, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "GenAI data collections" ], "communicationSkills" : "Customer communication; Technical consultation", "documentationSkills" : "Technical documentation; Technical guidelines", "outcomesObjectives" : "Deliver meaningful change for models; Maximize customer value", "qualificationsBasic" : "2+ years of experience in ML data operations, Understanding of data annotation/ML workflows, Outstanding customer communication and management skills, Technical consultation skills", "qualificationsPreferred" : "Bachelor's degree in Business, Computer Science, or related field, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Project management expertise, Technical account management experience, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data solutions, Customer consultation, Data collection requirements. Drive and document ML/GenAI solutions. Transform research objectives into requirements", "postedDate" : "2026-06-13T02:59:19.198", "createdAt" : "2026-06-13T02:59:19.198", "lastUpdated" : "2026-06-15T01:37:15.165", "ingestTimestamp" : "2026-06-13T02:59:19.198", "mongoId" : "693c2b8a70f0b99d5843fccf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139141/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows", "Leadership", "ML data solutions", "Customer consultation", "Data collection requirements", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios", "Project management", "GenAI data collections" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d5e4952beec4dd3d931827", "title" : "Data Solutions Lead Manager, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 81000.0, "max" : 141800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T07:48:53.979", "fingerprint" : "a6512bda53920a87bc9db62d17b33c5441b86149dd6787100e1b62057412e484", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385651/apply", "externalId" : "e8b97dba-f23f-4f14-a1d5-5d45573c8d1c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Manage and monitor team performance, Create a culture of ownership, Act as an SME Manager, Gain deep domain knowledge, Own global program improvement initiatives, Coordinate across global teams, Influence stakeholders, Ensure effective and expedient delivery, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Act as escalation point, Assist senior level customers, Collaborate with product teams, Collaborate with technology teams, Implement effective long term solutions, Consolidate customer feedback, Translate feedback into improvement initiatives", "teamCollaboration" : "Global teams; Product teams; Technology teams", "projectManagementSkills" : [ "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks" ], "domainKnowledge" : "Data collection for AI; ML/Gen AI data collections", "domainList" : [ "data-collection-for-ai", "ml-gen-ai-data-collections" ], "domainSpecificKnowledge" : [ "Data collection for AI", "ML/Gen AI data collections" ], "qualificationsBasic" : "5+ years people management, Experience in project management", "qualificationsPreferred" : "Bachelor's degree in Computer Science, 2+ years technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you enjoy leading dynamic and fast paced teams with global impact? We're looking for a Data Solutions Lead Managers to join our growing team! About the Role: As a Data Solutions Lead Manager, you will manage a team of Data Collection owners who provide expert consultation on ML/Gen AI data collections and own execution from start to finish. You'll drive business value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers. If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change for the models that back them. Key job responsibilities Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products Own global program improvement initiatives for the Data Collection Excellence Organization Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Act as an escalation point for challenging data collections, directly assisting senior level customers and your team. Collaborate with product and technology teams to implement effective long term solutions Consolidate customer feedback and translate it into improvement initiatives Basic Qualifications: - 5+ years of people management experience - Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - 2+ years of technical support experience, or experience in leadership or account management positions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, BELLEVUE - 81,000.00 - 141,800.00 USD annually", "summaryDescription" : "Data Solutions Lead Manager, Data Collection Excellence at Amazon.com Services LLC. Manage and monitor team performance. Create a culture of ownership", "postedDate" : "2026-06-13T17:46:51.723", "createdAt" : "2026-06-13T17:46:51.723", "lastUpdated" : "2026-06-15T07:48:53.979", "ingestTimestamp" : "2026-06-13T17:46:51.723", "mongoId" : "69d5e4952beec4dd3d931827", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385651/apply", "salaryAnnualMin" : 81000, "salaryAnnualMax" : 141800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Leadership", "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Data collection for AI", "ML/Gen AI data collections" ], "skillCount" : 7, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f082beec4dd3d9342ef", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "ADCI HYD 16 SEZ", "industry" : "Machine Learning Science, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Data Solutions role in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T01:22:24.653", "fingerprint" : "e7590585d0d2ab9c8981ce8bccc7bb0a7781de3282c0cd88d31b894a2cd4f95b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381454/apply", "externalId" : "8e5c74de-fec5-435a-8ef8-565055fb6f00", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "Technical advisory", "Partnership building", "Customer relationships", "Workflow capabilities", "Collection health metrics", "Workflow feasibility", "Annotation scenarios" ], "hardSkillsList" : [ "ML data operations", "Data annotation", "ML workflows", "ML concepts" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" }, { "name" : "ML concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data solutions, GenAI data collections", "majorSkillsList" : [ "ML data solutions", "GenAI data collections" ], "coreResponsibilities" : "Drive ML/GenAI solutions, Document ML/GenAI solutions, Transform research objectives, Coordinate across teams, Ensure seamless delivery, Ensure stakeholder alignment, Own customer relationships, Provide consultation on ML workflow capabilities, Monitor collection health metrics, Optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Cross-functional teams; Customer scientists", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; ML concepts; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "ml-concepts", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "ML concepts", "GenAI data collections" ], "toolProficiency" : [ "JSON", "Command Line" ], "communicationSkills" : "Effective communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Deliver meaningful change for models; Delight customers", "qualificationsBasic" : "Bachelor's degree or equivalent work experience, Experience working with customers, Analytical skills, Attention to detail, Effective communication abilities, Experience defining data creation strategies, 2+ years ML data operations, Understanding of data annotation/ML workflows, Translate complex technical concepts", "qualificationsPreferred" : "Bachelor's degree in Computer Science or related field, Experience in project management, 2+ years technical support experience, Experience in leadership, Experience in account management, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Bachelor's degree in a relevant field or equivalent work experience - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Demonstrated experience in effectively defining optimal data creation strategies and executing them - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - Experience in project management - 2+ years of technical support experience, or experience in leadership or account management positions - Working knowledge of JSON, Command Line, and Python - Background in customer success or solution consulting Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Solutions Lead, Data Collection Excellence at ADCI HYD 16 SEZ. Skills: ML data solutions, GenAI data collections. Drive ML/GenAI solutions. Document ML/GenAI solutions", "postedDate" : "2026-06-13T01:30:07.233", "createdAt" : "2026-06-13T01:30:07.233", "lastUpdated" : "2026-06-15T01:22:24.653", "ingestTimestamp" : "2026-06-13T01:30:07.233", "mongoId" : "69cf3f082beec4dd3d9342ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381454/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ML data operations", "Data annotation", "ML workflows", "ML concepts", "Leadership", "ML data solutions", "GenAI data collections", "Technical advisory", "Partnership building", "Customer relationships", "Workflow capabilities", "Collection health metrics", "Workflow feasibility", "Annotation scenarios", "Project management", "JSON", "Command Line" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308d16f292fd229c09ef88", "title" : "Senior Collection Specialist", "company" : "IFS", "industry" : "Information Technology And Services", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "SAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Collection Specialist in Riyadh, Saudi Arabia, adjusted for the financial services industry and senior experience level." }, "location" : "Riyadh, Riyadh Region, SA", "locations" : [ "Riyadh", "Riyadh Region", "SA" ], "timestamp" : "2026-06-16T13:14:24.482", "fingerprint" : "c080b56cc33c98abaa7f19cf80628a070e017375dea2daca63af58771beb158f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IFS1/744000132191059-senior-collection-specialist", "externalId" : "744000132191059", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Riyadh", "state" : "Riyadh Region", "country" : "Saudi Arabia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.6389160,46.7160104" } ], "locationText" : "Riyadh, Riyadh Region, Saudi Arabia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Microsoft Office Suite", "professionalSkills" : [ "Data analysis", "Financial reporting", "Organizational skills", "Problem-solving" ], "hardSkillsList" : [ "Collection techniques", "Collection strategies", "Collection best practices", "Accounts receivable management", "Financial data analysis" ], "hardSkills" : [ { "name" : "Collection techniques", "level" : "intermediate" }, { "name" : "Collection strategies", "level" : "intermediate" }, { "name" : "Collection best practices", "level" : "intermediate" }, { "name" : "Accounts receivable management", "level" : "intermediate" }, { "name" : "Financial data analysis", "level" : "intermediate" } ], "majorSkills" : "Accounts receivable, Collections, Client relationships", "majorSkillsList" : [ "Accounts receivable", "Collections", "Client relationships" ], "coreResponsibilities" : "Manage collection of outstanding accounts receivable, Oversee collection of outstanding accounts receivable, Ensure timely recovery of funds, Develop collection strategies, Implement collection strategies, Refine collection strategies, Improve recovery rates, Minimize bad debt, Communicate professionally with clients, Analyze aging reports, Analyze payment patterns, Analyze account data, Identify trends, Identify opportunities for improvement, Negotiate payment arrangements, Negotiate settlements, Negotiate alternative payment solutions, Maintain accurate records, Maintain organized records, Monitor collection metrics, Monitor key performance indicators, Monitor departmental performance, Report on collection metrics, Report on key performance indicators, Report on departmental performance, Escalate collection cases to management, Ensure collection activities comply with laws, Ensure collection activities comply with regulations, Ensure collection activities comply with company policies, Prepare collection reports, Provide recommendations for process improvements, Collaborate with other departments, Resolve billing disputes, Resolve account discrepancies", "teamCollaboration" : "Collaborate with other departments", "domainKnowledge" : "Collection laws; Collection regulations; Accounts receivable", "domainList" : [ "collection-laws", "collection-regulations", "accounts-receivable" ], "domainSpecificKnowledge" : [ "Collection laws", "Collection regulations", "Accounts receivable" ], "toolProficiency" : [ "Accounts receivable software", "Collection management systems", "Microsoft Office Suite", "CRM systems" ], "communicationSkills" : "Client communication; Negotiation", "documentationSkills" : "Record keeping", "problemSolvingSkills" : "Problem-solving; Data analysis", "outcomesObjectives" : "Maximize recovery rates; Achieve collection targets", "qualificationsBasic" : "5 years of professional experience in collections, 5 years of professional experience in accounts receivable, 5 years of professional experience in related financial roles, Knowledge of collection techniques, Knowledge of collection strategies, Knowledge of collection best practices, Advanced proficiency in data analysis, Advanced proficiency in financial reporting, Proficiency with accounts receivable software, Proficiency with collection management systems, Proficiency with Microsoft Office Suite, Comprehensive understanding of collection laws, Comprehensive understanding of collection regulations, Comprehensive understanding of compliance requirements, Exceptional attention to detail, Exceptional organizational skills, Time management abilities, Demonstrated problem-solving skills, Ability to work independently", "qualificationsPreferred" : "Experience with CRM systems, Bilingual capabilities in Arabic, Bilingual capabilities in English, Leadership experience in collections, Supervisory experience in collections", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a detail-oriented and results-driven Senior Collection Specialist to join our team in Riyadh, Saudi Arabia. In this role, you will take ownership of our accounts receivable portfolio, developing and executing effective collection strategies to maximize recovery rates while maintaining professional client relationships. You will analyze financial data, manage complex collection cases, and ensure compliance with all applicable regulations. The ideal candidate will demonstrate strong analytical abilities, exceptional organizational skills, and a commitment to achieving collection targets through persistent and professional engagement. * Manage and oversee the collection of outstanding accounts receivable, ensuring timely recovery of funds * Develop, implement, and refine collection strategies to improve recovery rates and minimize bad debt * Communicate professionally with clients regarding payment obligations, payment terms, and collection actions * Analyze aging reports, payment patterns, and account data to identify trends and opportunities for improvement * Negotiate payment arrangements, settlements, and alternative payment solutions with clients * Maintain accurate and organized records of all collection activities, communications, and outcomes * Monitor and report on collection metrics, key performance indicators (KPIs), and departmental performance * Escalate complex or high-value collection cases to management when necessary * Ensure all collection activities comply with relevant laws, regulations, and company policies * Prepare detailed collection reports and provide recommendations for process improvements * Collaborate with other departments to resolve billing disputes and account discrepancies ## Qualifications * Minimum 5 years of professional experience in collections, accounts receivable, or related financial roles * Proven track record of successfully managing and collecting outstanding accounts * Strong knowledge of collection techniques, strategies, and best practices * Excellent communication and negotiation skills with the ability to handle difficult conversations professionally * Advanced proficiency in data analysis and financial reporting * Proficiency with accounts receivable software, collection management systems, and Microsoft Office Suite * Comprehensive understanding of collection laws, regulations, and compliance requirements * Exceptional attention to detail and organizational skills * Strong time management abilities with capacity to manage multiple accounts simultaneously * Demonstrated problem-solving skills and ability to work independently * Preferred: Experience with customer relationship management (CRM) systems * Preferred: Bilingual capabilities in Arabic and English * Preferred: Leadership or supervisory experience in a collections environment", "summaryDescription" : "Senior Collection Specialist at IFS. Skills: Accounts receivable, Collections, Client relationships. Manage collection of outstanding accounts receivable. Oversee collection of outstanding accounts receivable", "postedDate" : "2026-06-15T12:35:01.000", "createdAt" : "2026-06-16T03:32:26.895", "lastUpdated" : "2026-06-16T13:14:24.482", "ingestTimestamp" : "2026-06-16T03:32:26.895", "mongoId" : "6a308d16f292fd229c09ef88", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Collection techniques", "Collection strategies", "Collection best practices", "Accounts receivable management", "Financial data analysis", "Accounts receivable", "Collections", "Client relationships", "Data analysis", "Financial reporting", "Organizational skills", "Problem-solving", "Collection laws", "Collection regulations", "Accounts receivable software", "Collection management systems", "Microsoft Office Suite", "CRM systems" ], "skillCount" : 18, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30685df292fd229cfc3aa5", "title" : "Senior Collection Specialist", "company" : "IFS", "industry" : "Information Technology And Services", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "SAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Collection Specialist in Riyadh, Saudi Arabia, adjusted for the financial services industry and senior experience level." }, "location" : "Riyadh, Riyadh Region, SA", "locations" : [ "Riyadh", "Riyadh Region", "SA" ], "timestamp" : "2026-06-16T09:02:24.118", "fingerprint" : "d575d45b45275432ff775d9a14c7277758584711f0bdb8afcf1a031a6b2dde89", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IFS1/744000132191059-senior-collection-specialist", "externalId" : "744000132191059", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Riyadh", "state" : "Riyadh Region", "country" : "Saudi Arabia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.6389160,46.7160104" } ], "locationText" : "Riyadh, Riyadh Region, Saudi Arabia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Microsoft Office Suite", "professionalSkills" : [ "Data analysis", "Financial reporting", "Organizational skills", "Problem-solving" ], "hardSkillsList" : [ "Collection techniques", "Collection strategies", "Collection best practices", "Accounts receivable management", "Financial data analysis" ], "hardSkills" : [ { "name" : "Collection techniques", "level" : "intermediate" }, { "name" : "Collection strategies", "level" : "intermediate" }, { "name" : "Collection best practices", "level" : "intermediate" }, { "name" : "Accounts receivable management", "level" : "intermediate" }, { "name" : "Financial data analysis", "level" : "intermediate" } ], "majorSkills" : "Accounts receivable, Collections, Client relationships, Financial data analysis", "majorSkillsList" : [ "Accounts receivable", "Collections", "Client relationships", "Financial data analysis" ], "coreResponsibilities" : "Manage outstanding accounts receivable, Oversee collection of outstanding accounts, Ensure timely recovery of funds, Develop collection strategies, Implement collection strategies, Refine collection strategies, Improve recovery rates, Minimize bad debt, Communicate professionally with clients, Analyze aging reports, Analyze payment patterns, Analyze account data, Identify trends, Identify opportunities for improvement, Negotiate payment arrangements, Negotiate settlements, Negotiate alternative payment solutions, Maintain accurate records, Maintain organized records, Monitor collection metrics, Monitor key performance indicators, Monitor departmental performance, Report on collection metrics, Report on key performance indicators, Report on departmental performance, Escalate collection cases to management, Ensure collection activities comply with laws, Ensure collection activities comply with regulations, Ensure collection activities comply with company policies, Prepare collection reports, Provide recommendations for process improvements, Collaborate with other departments, Resolve billing disputes, Resolve account discrepancies", "teamCollaboration" : "Collaborate with other departments", "domainKnowledge" : "Collection laws; Collection regulations; Compliance requirements", "domainList" : [ "collection-laws", "collection-regulations", "compliance-requirements" ], "domainSpecificKnowledge" : [ "Collection laws", "Collection regulations", "Compliance requirements" ], "toolProficiency" : [ "Accounts receivable software", "Collection management systems", "Microsoft Office Suite", "CRM systems" ], "communicationSkills" : "Client communication; Negotiation", "documentationSkills" : "Record keeping", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Maximize recovery rates; Achieve collection targets", "qualificationsBasic" : "5 years of professional experience in collections, 5 years of professional experience in accounts receivable, 5 years of professional experience in related financial roles, Knowledge of collection techniques, Knowledge of collection strategies, Knowledge of collection best practices, Advanced proficiency in data analysis, Advanced proficiency in financial reporting, Proficiency with accounts receivable software, Proficiency with collection management systems, Proficiency with Microsoft Office Suite, Comprehensive understanding of collection laws, Comprehensive understanding of collection regulations, Comprehensive understanding of compliance requirements, Exceptional attention to detail, Exceptional organizational skills, Time management abilities, Demonstrated problem-solving skills, Ability to work independently", "qualificationsPreferred" : "Experience with CRM systems, Bilingual capabilities in Arabic, Bilingual capabilities in English, Leadership experience in collections, Supervisory experience in collections", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a detail-oriented and results-driven Senior Collection Specialist to join our team in Riyadh, Saudi Arabia. In this role, you will take ownership of our accounts receivable portfolio, developing and executing effective collection strategies to maximize recovery rates while maintaining professional client relationships. You will analyze financial data, manage complex collection cases, and ensure compliance with all applicable regulations. The ideal candidate will demonstrate strong analytical abilities, exceptional organizational skills, and a commitment to achieving collection targets through persistent and professional engagement. * Manage and oversee the collection of outstanding accounts receivable, ensuring timely recovery of funds * Develop, implement, and refine collection strategies to improve recovery rates and minimize bad debt * Communicate professionally with clients regarding payment obligations, payment terms, and collection actions * Analyze aging reports, payment patterns, and account data to identify trends and opportunities for improvement * Negotiate payment arrangements, settlements, and alternative payment solutions with clients * Maintain accurate and organized records of all collection activities, communications, and outcomes * Monitor and report on collection metrics, key performance indicators (KPIs), and departmental performance * Escalate complex or high-value collection cases to management when necessary * Ensure all collection activities comply with relevant laws, regulations, and company policies * Prepare detailed collection reports and provide recommendations for process improvements * Collaborate with other departments to resolve billing disputes and account discrepancies ## Qualifications * Minimum 5 years of professional experience in collections, accounts receivable, or related financial roles * Proven track record of successfully managing and collecting outstanding accounts * Strong knowledge of collection techniques, strategies, and best practices * Excellent communication and negotiation skills with the ability to handle difficult conversations professionally * Advanced proficiency in data analysis and financial reporting * Proficiency with accounts receivable software, collection management systems, and Microsoft Office Suite * Comprehensive understanding of collection laws, regulations, and compliance requirements * Exceptional attention to detail and organizational skills * Strong time management abilities with capacity to manage multiple accounts simultaneously * Demonstrated problem-solving skills and ability to work independently * Preferred: Experience with customer relationship management (CRM) systems * Preferred: Bilingual capabilities in Arabic and English * Preferred: Leadership or supervisory experience in a collections environment", "summaryDescription" : "Senior Collection Specialist at IFS. Skills: Accounts receivable, Collections, Client relationships, Financial data analysis. Manage outstanding accounts receivable. Oversee collection of outstanding accounts", "postedDate" : "2026-06-15T12:35:01.000", "createdAt" : "2026-06-16T00:17:41.855", "lastUpdated" : "2026-06-16T09:02:24.118", "ingestTimestamp" : "2026-06-16T00:17:41.855", "mongoId" : "6a30685df292fd229cfc3aa5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Collection techniques", "Collection strategies", "Collection best practices", "Accounts receivable management", "Financial data analysis", "Accounts receivable", "Collections", "Client relationships", "Data analysis", "Financial reporting", "Organizational skills", "Problem-solving", "Collection laws", "Collection regulations", "Compliance requirements", "Accounts receivable software", "Collection management systems", "Microsoft Office Suite", "CRM systems" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a7f9bc74574cbbb48a1", "title" : "Senior Data Solutions Lead, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 74500.0, "max" : 130300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:30.204", "fingerprint" : "84faf7bf5c24c4b3f6c7738581ffd13beb18759274a180ac3b1eb7a9d13a3d84", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3197054/apply", "externalId" : "3ecf8490-6a1c-44a7-8769-925b69a3d4a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ML, Gen AI", "professionalSkills" : [ "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability" ], "hardSkillsList" : [ "ML workflow capabilities", "Collection health metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML workflow capabilities", "level" : "intermediate" }, { "name" : "Collection health metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data collection, ML solutions, Customer success", "majorSkillsList" : [ "Data collection", "ML solutions", "Customer success" ], "coreResponsibilities" : "Drive ML/GenAI solutions, Document ML/GenAI solutions, Transform research objectives, Create data collection requirements, Own global team improvement projects, Coordinate across teams, Ensure seamless delivery, Ensure stakeholder alignment, Own relationships with customer scientists, Provide expert consultation, Monitor collection health metrics, Optimize collection health metrics, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Author technical documentation, Influence technical guidelines, Author technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams; Global team", "projectManagementSkills" : [ "Project management", "Program management" ], "domainKnowledge" : "ML data solutions; ML workflow capabilities; Data collection best practices; Annotation scalability", "domainList" : [ "ml-data-solutions", "ml-workflow-capabilities", "data-collection-best-practices", "annotation-scalability" ], "domainSpecificKnowledge" : [ "ML data solutions", "ML workflow capabilities", "Data collection best practices", "Annotation scalability" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation; Technical guidelines", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Deliver meaningful change; Make global process efficient", "qualificationsBasic" : "Experience working with customers, Analytical skills, Attention to detail, Effective communication abilities", "qualificationsPreferred" : "Master's degree, Experience in project management, Experience in program management, 4+ years of technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you have experience managing complex technical projects from end to end? We're looking for a Senior Data Solutions Lead to join our growing team! About the Role: As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on high complexity ML/Gen AI data collections and manage emerging customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them, while simultaneously making global process more efficient. Key job responsibilities What You'll Do: Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Own global team improvement projects Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide expert consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence and author technical documentation and guidelines Basic Qualifications: - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities Preferred Qualifications: - Master's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - Experience in project or program management - 4+ years of technical support experience, or experience in leadership or account management positions 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 74,500.00 - 130,300.00 USD annually", "summaryDescription" : "Senior Data Solutions Lead, Data Collection Excellence at Amazon.com Services LLC. Skills: Data collection, ML solutions, Customer success. Drive ML/GenAI solutions. Document ML/GenAI solutions", "postedDate" : "2026-06-13T10:59:13.338", "createdAt" : "2026-06-13T10:59:13.338", "lastUpdated" : "2026-06-15T05:29:30.204", "ingestTimestamp" : "2026-06-13T10:59:13.338", "mongoId" : "69c94a7f9bc74574cbbb48a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3197054/apply", "salaryAnnualMin" : 74500, "salaryAnnualMax" : 130300, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "ML workflow capabilities", "Collection health metrics", "Leadership", "Data collection", "ML solutions", "Customer success", "Technical advisory", "Partnership building", "Workflow feasibility", "Annotation scalability", "Project management", "Program management", "ML data solutions", "Data collection best practices" ], "skillCount" : 14, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2523df74d8ee00a00e05fe", "title" : "Data Collection Contractor", "company" : "Obvio", "industry" : "Operations", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Collection Contractor in College Park, United States, adjusted for the technology industry." }, "location" : "College Park, MD / Mid-Atlantic Region", "locations" : [ "College Park, MD / Mid-Atlantic Region" ], "timestamp" : "2026-06-14T21:26:35.490", "fingerprint" : "9b7d9c750499c5d98ae545bab4909996fb8ad1d00d710512cbe55f4603c99a10", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/obvio/4effa14c-d785-4703-a1a2-19d90f8d4bb0/application", "externalId" : "4effa14c-d785-4703-a1a2-19d90f8d4bb0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "College Park", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9806660,-76.9369189" }, { "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "state" : "Delaware", "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "state" : "Virginia", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "College Park, Maryland, United States; Pennsylvania, United States; Delaware, United States; Virginia, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Traffic behavior studies", "Field data collection", "AI traffic safety" ], "hardSkillsList" : [ "Equipment setup", "Data upload" ], "softSkillsList" : [ "Dependable", "Attention to detail" ], "hardSkills" : [ { "name" : "Equipment setup", "level" : "intermediate" }, { "name" : "Data upload", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Dependable" }, { "name" : "Attention to detail" } ], "majorSkills" : "Data collection, Field operations", "majorSkillsList" : [ "Data collection", "Field operations" ], "coreResponsibilities" : "Travel to traffic study deployment locations, Set up roadside traffic study equipment, Monitor roadside traffic study equipment, Deploy multiple cameras or sensors, Manage multiple cameras or sensors, Monitor study location, Ensure equipment is positioned safely, Ensure equipment is positioned accurately, Ensure equipment is positioned consistently, Follow field procedures, Follow safety protocols, Follow deployment instructions, Upload collected data, Recharge provided equipment, Maintain provided equipment, Coordinate with Obvio team, Meet with team in College Park", "teamCollaboration" : "Coordinate with Obvio team", "domainKnowledge" : "AI; Transportation technology; Public safety; Smart cities", "domainList" : [ "ai", "transportation-technology", "public-safety", "smart-cities" ], "domainSpecificKnowledge" : [ "AI", "Transportation technology", "Public safety", "Smart cities" ], "specialRequirements" : "Travel up to two hours roundtrip, Availability 3-4 days per week, Periodic meetings in College Park", "qualificationsBasic" : "Personal vehicle, Valid driver's license, Willingness to travel, Reliable home internet, Ability to recharge equipment", "qualificationsPreferred" : "Technical education or experience, Computer science background, Engineering background, Data science background, Transportation background, Field operations background, Recent graduates encouraged, Graduate students encouraged, Hands-on technical field experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT OBVIO AI Each year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable—automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities. Founded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally. ABOUT THE OPPORTUNITY Obvio is seeking a contract Field Data Collection Technician to support traffic behavior studies across the Mid-Atlantic region, including Pennsylvania, Delaware, Maryland, and Virginia. These studies will focus on areas such as school zones, high-incident intersections, and busy pedestrian corridors. This is a high-visibility initiative, with findings expected to be shared with media outlets, local newspapers, and public officials. This opportunity is ideal for someone who enjoys hands-on technical work, is comfortable working independently in the field after training, and has an interest in AI, transportation technology, public safety, or real-world data collection. Contractors will receive all necessary field equipment, including tripods, cameras, speed sensors, laptops, safety vests, and related materials. Obvio will also provide training on field deployment procedures, equipment setup, safety expectations, and data upload requirements. WHAT YOU’LL DO - Travel to traffic study deployment locations across the Mid-Atlantic region - Set up and monitor roadside traffic study equipment, including cameras, speed sensors, tripods, laptops, and related hardware - Deploy and manage multiple cameras or sensors at once according to study guidelines - Monitor each study location for approximately two hours - Ensure equipment is positioned safely, accurately, and consistently - Follow Obvio’s field procedures, safety protocols, and deployment instructions - Upload collected data at the end of each day using a reliable home internet connection - Recharge and maintain provided equipment, including laptops and field hardware - Coordinate with the Obvio team based in College Park as needed - Meet with the team in College Park, MD from time to time for training, equipment handoff, or operational coordination WHAT WE’RE LOOKING FOR - Highly motivated, dependable, and comfortable working independently in the field - Strong attention to detail and ability to follow technical instructions carefully - Comfortable transporting, setting up, and troubleshooting field equipment - Willingness to work outdoors and adapt to changing field conditions - Interest in AI, transportation technology, smart cities, public safety, or real-world data collection - Comfortable with a flexible field schedule based on deployment needs - Technical education or experience preferred, such as computer science, engineering, data science, transportation, field operations, or a related area - Recent graduates, graduate students, or candidates with hands-on technical field experience are encouraged to apply REQUIREMENTS - Personal vehicle for transporting equipment to deployment locations - Valid driver’s license - Willingness to travel to field sites across Pennsylvania, Delaware, Maryland, and Virginia - Ability to travel up to approximately two hours roundtrip per day, depending on deployment location - Access to reliable home internet, not a mobile hotspot, for end-of-day data uploads - Ability to recharge the provided laptop and equipment daily - Availability for 3–4 days per week, with hours varying based on study schedules and travel needs - Ability to periodically meet with the team in College Park, MD WHAT OBVIO PROVIDES - Paid contract opportunity - Paid training - All necessary field equipment, including cameras, tripods, speed sensors, laptops, safety vests, and related materials - Mileage reimbursement for approved travel - Hands-on experience with real-world AI traffic safety technology - Opportunity to contribute to a high-impact public safety initiative WHY OBVIO - Your work will help save lives and improve road safety - Series A of $22M led by Bain Capital - Fast-moving startup environment with meaningful ownership - Competitive compensation and early-stage equity Obvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.", "summaryDescription" : "Data Collection Contractor at Obvio. Skills: Data collection, Field operations. Travel to traffic study deployment locations. Set up roadside traffic study equipment", "postedDate" : "2026-06-11T19:05:26.485", "createdAt" : "2026-06-11T19:05:26.485", "lastUpdated" : "2026-06-14T21:26:35.490", "ingestTimestamp" : "2026-06-11T19:05:26.485", "mongoId" : "6a2523df74d8ee00a00e05fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Equipment setup", "Data upload", "Dependable", "Attention to detail", "Data collection", "Field operations", "Traffic behavior studies", "Field data collection", "AI traffic safety", "AI", "Transportation technology", "Public safety", "Smart cities" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a307bd4f292fd229c047db3", "title" : "Sales Development Associate - Portuguese, Spanish, and English Speaker", "company" : "EcoVadis", "industry" : "Environmental Services", "salary" : { "min" : 365000.0, "max" : 545000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry level Sales Development Associate in Mexico City, Mexico, adjusted for SaaS industry and company size." }, "location" : "Mexico City, CDMX, MX", "locations" : [ "Mexico City", "CDMX", "MX" ], "timestamp" : "2026-06-16T13:33:25.438", "fingerprint" : "5f606421138f722f7071929f81f1cabe87dd13cf0c0f850cb1c5a899a1ddaded", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ecovadis/744000132282429-sales-development-associate-portuguese-spanish-and-english-speaker", "externalId" : "744000132282429", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "CDMX", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "19.4326296,-99.1331785" }, { "city" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Mexico City, CDMX, Mexico; Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI tooling, Claude, Gemini, Salesforce, LinkedIn Sales Navigator, Salesloft", "professionalSkills" : [ "Business growth", "Market research", "Buyer journey enhancement", "Sales strategy", "Consultative questioning", "Value mapping", "Commercial goals mapping", "ROI mapping" ], "hardSkillsList" : [ "Cold calling", "Prospecting", "Lead nurturing", "Objection handling" ], "hardSkills" : [ { "name" : "Cold calling", "level" : "intermediate" }, { "name" : "Prospecting", "level" : "intermediate" }, { "name" : "Lead nurturing", "level" : "intermediate" }, { "name" : "Objection handling", "level" : "intermediate" } ], "majorSkills" : "Sales Development, ESG Solutions, Cold Calling", "majorSkillsList" : [ "Sales Development", "ESG Solutions", "Cold Calling" ], "coreResponsibilities" : "Drive EcoVadis revenue, Conduct discovery calls, Conduct educational calls, Spark interest in ESG solutions, Identify high-potential opportunities, Schedule qualified meetings, Articulate importance of CSR, Articulate importance of sustainable supply chains, Research target accounts, Map key decision-makers, Develop localized call strategies, Develop localized messaging, Develop targeted lead lists, Follow up with leads, Handle objections, Nurture leads, Manage activity in Salesforce, Track performance, Identify trends, Leverage social selling, Represent EcoVadis at events", "teamCollaboration" : "Collaborate with cross-functional teams; Partner with Marketing; Partner with AEs", "domainKnowledge" : "Sustainability; ESG; CSR; Responsible sourcing; Compliance; Sustainable supply chains", "domainList" : [ "sustainability", "esg", "csr", "responsible-sourcing", "compliance", "sustainable-supply-chains" ], "domainSpecificKnowledge" : [ "Sustainability", "ESG", "CSR", "Responsible sourcing", "Compliance", "Sustainable supply chains" ], "toolProficiency" : [ "Salesforce", "LinkedIn Sales Navigator", "Salesloft", "Claude", "Gemini" ], "communicationSkills" : "Executive calls; Articulating importance", "continuousLearning" : "Learning and development; Career Growth Management", "outcomesObjectives" : "Over-perform against quota", "qualificationsBasic" : "University degree in a relevant discipline, Full professional proficiency in Portuguese, Spanish, and English, Experience picking up the phone, Ability to engage busy decision-makers professionally, Ability to stay focused, Manage multiple priorities, Maintain high-volume outreach, Active listening skills", "qualificationsPreferred" : "Experience in Sustainability, ESG, or CSR", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Work smart, have fun and make an impact! Our purpose is to guide all companies toward a sustainable world. EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks. Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution. Learn more about our team and culture on EcoVadis [careers page](https://ecovadis.com/careers/). We are seeking a proactive and results-oriented Sales Development Associate to join our dynamic team. The ideal candidate will be responsible for spearheading our business growth by identifying and converting leads into sales opportunities, researching market trends, and collaborating with cross-functional teams to enhance the buyer journey. This is a fantastic opportunity for any candidate who wants to build a helpful professional network for themselves within Environmental, Social and Governance (ESG), responsible sourcing and compliance industries. It offers the chance to work alongside and engage established industry experts and leaders with massive learning and growth opportunities. What you’ll be doing: * Driving New Business: Owning the full outreach motion, LinkedIn, email, video, and a large emphasis on cold calling to drive EcoVadis revenue. * Mastering the Conversation: Conducting high-level discovery and educational calls with Senior Executives (Sustainability & Procurement) to spark interest in ESG solutions. * Qualifying with MEDDPICC: Using consultative questioning to identify high-potential opportunities and scheduling qualified meetings for Account Executives. * Being a Sustainability Advocate: Articulating the vital importance of CSR and sustainable supply chains to Global 500 companies. * Strategic Prospecting: Researching target accounts and mapping out key decision-makers who align with our Ideal Customer Profile (ICP). * Collaborating for Growth: Partnering with Marketing and AEs to develop localized call strategies, messaging, and targeted lead lists. * Full Funnel Management: Staying proactive with follow-ups, handling objections, and nurturing leads until they are ready to convert. * Data & Insights: Managing all activity in Salesforce to track your performance, identify trends, and consistently over-perform against quota. * Representing the Brand: Leveraging social selling and representing EcoVadis at industry events to build our presence in the market. ## Qualifications * The Foundations: University degree in a relevant discipline * Language Skills: Full professional proficiency in Portuguese, Spanish, and English * A Sales-First Mindset: A proactive approach and enthusiasm for building a sales career. Strong resilience and the ability to navigate objections. * Cold Calling Confidence: You have experience (or a desire to be in a role) picking up the phone and the ability to engage busy decision-makers professionally. * Technical Literacy: Building familiarity with the modern sales stack, specifically AI tooling (Claude & Gemini), Salesforce, LinkedIn Sales Navigator, and Salesloft. * The \"EcoVadis\" Edge: A natural curiosity for Sustainability, ESG, or CSR. If you have experience in these areas, that’s a massive plus. * Coachability & Growth: A self-starter mentality with an openness to feedback and a desire to constantly improve your \"game.\" * Organizational Mastery: The ability to stay focused, manage multiple priorities, and maintain high-volume outreach in a fast-paced environment. * Business Acumen: Strong active listening skills and the ability to map EcoVadis’ value directly to a prospect’s commercial goals and ROI. * Number Driven: A results-oriented mindset focused on data and conversion metrics. ## Additional Information * Start date: ASAP * Location: Mexico City * Hybrid model: 8 days per month In return for your expertise, we offer: * Work from home allowances (one-off IT and Home equipment) * Flexible working hours * Wellness allowance for mental and physical wellbeing * Access to professional mental health support * Referral bonus policy * Learning and development * Sustainability events and community involvement * Peer recognition program * Employee-led resource groups * Annual performance bonus * Remote work from abroad policy * Internet and electricity bill allowance * Health care and life insurance after specified seniority * Hybrid work organization (from the office or from home) * Additional day for community service when volunteering * Career Growth Management Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you! Don’t meet all criteria? Please apply anyway. We welcome diverse candidates and want to assess your skills and potential contribution to EcoVadis, regardless of your background. Can the hiring process be adjusted to suit my needs? Yes. We want all candidates, including people with disabilities, people with long-term health conditions, and neurodiverse applicants, to feel confident demonstrating their potential. If you require adjustments, such as interview questions in advance, please inform the hiring team. Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on characteristics such as color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. To reduce bias in hiring, applicants are encouraged to remove personal details such as photos, marital/parental status, religion, gender, postal code, university name/graduation date, past leave details, and nationality (instead, confirm eligibility to work in the job location). Our recruitment processes do not include AI systems that make autonomous decisions impacting individuals’ rights without human oversight. Inputs and outputs of the system have been validated by humans and answers are based on algorithms that analyze previous data with which the system has been trained. We use SmartRecruiters as our applicant tracking system and to schedule interviews. Gemini is used to summarize notes from interviews and to refine job descriptions and social media messaging. AssessFirst is used to support talent assessment decisions.", "summaryDescription" : "Sales Development Associate - Portuguese, Spanish, and English Speaker at EcoVadis. Skills: Sales Development, ESG Solutions, Cold Calling. Drive EcoVadis revenue. Conduct discovery calls", "postedDate" : "2026-06-15T20:39:19.000", "createdAt" : "2026-06-16T01:37:13.741", "lastUpdated" : "2026-06-16T13:33:25.438", "ingestTimestamp" : "2026-06-16T01:37:13.741", "mongoId" : "6a307bd4f292fd229c047db3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cold calling", "Prospecting", "Lead nurturing", "Objection handling", "Sales Development", "ESG Solutions", "Cold Calling", "Business growth", "Market research", "Buyer journey enhancement", "Sales strategy", "Consultative questioning", "Value mapping", "Commercial goals mapping", "ROI mapping", "Sustainability", "ESG", "CSR", "Responsible sourcing", "Compliance", "Sustainable supply chains", "Salesforce", "LinkedIn Sales Navigator", "Salesloft", "Claude", "Gemini" ], "skillCount" : 26, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305ffef292fd229cf84000", "title" : "Collections Clerical Associate", "company" : "Old Second National Bank", "industry" : "Banking", "salary" : { "min" : 1700.0, "max" : 2060.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Reno, Nevada, United States", "locations" : [ "Reno", "Nevada", "United States" ], "timestamp" : "2026-06-16T07:35:33.192", "fingerprint" : "fdd4bcf5fb9681f5546cd882d5f32898fb152f8001c1b18df84458b0552d850c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.oldsecond.com/resources-services/current-opportunities?gh_jid=7770375003", "externalId" : "7770375003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reno", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.5261788,-119.8126580" } ], "locationText" : "Reno, Nevada, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 1, "hardSkillsList" : [ "Data entry", "10-key" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "10-key", "level" : "intermediate" } ], "majorSkills" : "Data entry, Clerical duties", "majorSkillsList" : [ "Data entry", "Clerical duties" ], "coreResponsibilities" : "Enter data, Post invoices, Perform general clerical duties, Pull files, File documents, Scan documents, Fax documents, Handle returned mail, Process outgoing mail, Ensure operational integrity, Comply with policies, Comply with procedures, Comply with regulations, Train to take collections calls, Perform customer service", "qualificationsBasic" : "High school diploma, Six months related experience", "qualificationsPreferred" : "Prior office experience a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are At Old Second, you're first! For more than 150 years, Old Second has consistently put businesses and individuals throughout the Chicago area first, and we're only getting started. With great employees we've grown from a single location in the back of a general store to 50 locations and over $6 billion dollars in assets. At Old Second we embrace values that foster an environment of community and growth. Recently, we've been voted a Forbes Best-In-State Bank for Illinois by our customers. Be a part of something big as we continue our growth story together! Position Overview This position’s responsibilities will include data entry, posting invoices, and general clerical duties (filing, scanning, faxing). Essential Job Functions General clerical duties: pulling files, filing, scanning, faxing, etc. Posting invoices from vendors. Data entry assignments. Handling returned mail. Processing outgoing mail for the department. Ensure operational integrity through compliance with all policies, procedures, and regulations. Perform other duties as assigned. May train to take collections calls and perform customer service. Minimum Requirements High school diploma and six months or more of related experience. Competencies Data entry or 10-key Attention to detail Strong organizational and time management skills Works well in a team environment. Preferred, but not required Prior office experience a plus. NOTE: This job description is not intended to be all-inclusive. Employee may perform other duties as assigned to meet the ongoing needs of the organization. Location This is an onsite position at the Reno, NV office. Must be able to work onsite daily. Base pay: $17.00 - $20.60/hour. Old Second is committed to fair and equitable pay practices. Pay is dependent upon the pay range and the incumbent’s knowledge, skills and experience. Benefits: How We Support You - Old Second Thanks for considering Old Second!", "summaryDescription" : "Collections Clerical Associate at Old Second National Bank. Skills: Data entry, Clerical duties. Enter data. Post invoices", "postedDate" : "2026-06-15T23:28:34.299", "createdAt" : "2026-06-15T23:28:34.299", "lastUpdated" : "2026-06-16T07:35:33.192", "ingestTimestamp" : "2026-06-15T23:28:34.299", "mongoId" : "6a305ffef292fd229cf84000", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 3536000, "salaryAnnualMax" : 4284800, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data entry", "10-key", "Clerical duties" ], "skillCount" : 3, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c956474d8ee00a098cfe5", "title" : "Audio Firmware Engineer", "company" : "Hark", "industry" : "Technology", "salary" : { "min" : 120000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Jose, California, United States", "locations" : [ "San Jose", "California", "United States" ], "timestamp" : "2026-06-15T06:53:41.995", "fingerprint" : "7d7cd3296e2f4a21978b3f4d2510b0d725d4e9513aff2bbf1175be698eef2129", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hark/jobs/4244853009", "externalId" : "4244853009", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C/C++, Android audio framework, HAL, DSP, AudioFlinger, Audio Policy Manager, TinyALSA, ALSA, Kernel drivers, Machine learning models, NPU", "professionalSkills" : [ "Firmware development", "Embedded audio development", "System bring-up", "DSP pipeline integration", "Firmware optimization", "Audio system integration", "Audio path tuning", "End-to-end debugging", "Audio inference workloads", "Latency budgets", "Power budgets", "Memory budgets", "Audio quality tuning", "Acoustic conditions" ], "hardSkillsList" : [ "Audio processing algorithms", "Fixed-point development", "SIMD", "VLIW" ], "hardSkills" : [ { "name" : "Audio processing algorithms", "level" : "intermediate" }, { "name" : "Fixed-point development", "level" : "intermediate" }, { "name" : "SIMD", "level" : "intermediate" }, { "name" : "VLIW", "level" : "intermediate" } ], "majorSkills" : "Audio Firmware, Embedded Audio, Android Audio, DSP Integration", "majorSkillsList" : [ "Audio Firmware", "Embedded Audio", "Android Audio", "DSP Integration" ], "coreResponsibilities" : "Bring up audio on new hardware, Integrate low-level platform, Design audio use cases, Implement audio use cases, Manage audio use cases, Integrate audio paths, Tune audio paths, Debug complex audio issues, Support audio-driven inference workloads, Collaborate with hardware teams, Collaborate with acoustics teams, Collaborate with product teams", "teamCollaboration" : "AI team; Hardware teams; Acoustics teams; Product teams", "domainKnowledge" : "Android audio architecture; Audio processing algorithms; Machine learning on embedded; Voice-first products; Far-field audio products", "domainList" : [ "android-audio-architecture", "audio-processing-algorithms", "machine-learning-on-embedded", "voice-first-products", "far-field-audio-products" ], "domainSpecificKnowledge" : [ "Android audio architecture", "Audio processing algorithms", "Machine learning on embedded", "Voice-first products", "Far-field audio products" ], "toolProficiency" : [ "Audio tooling" ], "problemSolvingSkills" : "Debugging; Troubleshooting", "qualificationsBasic" : "3+ years firmware development, 3+ years embedded audio development, Proficient with C/C++, Familiar with Android audio architecture, Hands-on experience with audio tooling, Comfort working across full audio stack, Experience debugging audio issues, Experience working with hardware engineers, Experience reading schematics", "qualificationsPreferred" : "Experience on consumer products, Experience in resource-constrained environments, Experience in real-time environments, Experience with Audio HAL, Experience with AudioFlinger, Experience with Audio Policy Manager, Experience with TinyALSA/ALSA interfaces, Experience with DSP firmware, Experience with kernel drivers, Experience with platform logs, Experience with DSP traces, Working knowledge of audio processing algorithms, Experience with dynamic range control, Experience with echo cancellation, Experience with noise suppression, Experience with beamforming, DSP optimization experience, Experience with fixed-point development, Experience with SIMD, Experience with VLIW, Experience tuning audio quality, Experience validating behavior, Experience deploying machine learning models, Experience with audio models on DSP, Experience with audio models on NPU, Experience shipping voice-first products, Experience shipping far-field audio products", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We’re looking for an experienced Audio Firmware Engineer to develop and optimize next-generation embedded audio solutions on Android and SoC platforms. This role spans audio system bring-up, DSP pipeline integration, firmware optimization, and deployment of advanced audio/AI features for consumer devices. You will work across the software stack—from Android audio framework and HAL layers down to DSP—bringing production-quality audio experiences to market. This is hands-on work close to silicon, with direct impact on how every user experiences the product. Responsibilities Bring up audio on new hardware in the Android system — codecs, mics, speakers, routing, and low-level platform integration Design, implement, and manage audio use cases on SoC platforms across playback, capture, voice, and always-on listening paths Integrate and tune audio paths across the Android audio stack (HAL, AudioFlinger, Audio Policy Manager, TinyALSA/ALSA) and the underlying SoC audio frameworks Debug complex audio issues end-to-end using platform logs, working from kernel and DSP traces up through application-level symptoms Partner with the AI team to support audio-driven inference workloads (wake word, ASR, speech enhancement) within latency, power, and memory budgets Collaborate with hardware, acoustics, and product teams from prototype through production to ship audio that feels effortless to users Requirements 3+ years of professional firmware or embedded audio development, ideally on consumer products that have shipped at scale Proficient with C/C++ in resource-constrained, real-time environments Familiar with Android audio architecture: Audio HAL, AudioFlinger, Audio Policy Manager, and TinyALSA/ALSA interfaces Hands-on experience with audio tooling and frameworks Comfort working across the full audio stack — kernel drivers, DSP firmware, HAL, framework — and debugging issues that span all of it Experience working alongside hardware engineers during board bring-up and reading schematics for audio subsystems Bonus Qualifications Working knowledge of audio processing algorithms — dynamic range control, echo cancellation, noise suppression, beamforming, and similar DSP optimization experience, including fixed-point development, SIMD and VLIW. Tune audio quality and validate behavior across acoustic conditions Experience deploying machine learning models on embedded platforms, especially audio models running on DSP or NPU Background shipping voice-first or far-field audio products Compensation The US base salary range for this full-time position is between $120,000 - $300,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.", "summaryDescription" : "Audio Firmware Engineer at Hark. Skills: Audio Firmware, Embedded Audio, Android Audio, DSP Integration. Bring up audio on new hardware. Integrate low-level platform", "postedDate" : "2026-06-14T09:01:43.547", "createdAt" : "2026-06-14T09:01:43.547", "lastUpdated" : "2026-06-15T06:53:41.995", "ingestTimestamp" : "2026-06-14T09:01:43.547", "mongoId" : "6a2c956474d8ee00a098cfe5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 300000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Audio processing algorithms", "Fixed-point development", "SIMD", "VLIW", "Audio Firmware", "Embedded Audio", "Android Audio", "DSP Integration", "Firmware development", "Embedded audio development", "System bring-up", "DSP pipeline integration", "Firmware optimization", "Audio system integration", "Audio path tuning", "End-to-end debugging", "Audio inference workloads", "Latency budgets", "Power budgets", "Memory budgets", "Audio quality tuning", "Acoustic conditions", "Android audio architecture", "Machine learning on embedded", "Voice-first products", "Far-field audio products", "Audio tooling" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fc49a74c40e2acd1a83418", "title" : "Collections Associate", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Georgia-Atlanta", "locations" : [ "United States-Georgia-Atlanta", "
Atlanta, GA (HCA_AtlantaGA)
4100 Wildwood Pkwy
Atlanta, 30339

" ], "timestamp" : "2026-06-15T12:44:21.255", "fingerprint" : "8c2bdea8cca59242232a7e12891a3984269a74fb4d5a09c33517c3950c16d186", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114783", "externalId" : "114783", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Windows, Word, Excel", "professionalSkills" : [ "Negotiation", "Problem solving" ], "hardSkillsList" : [ "Collections" ], "softSkillsList" : [ "Negotiation" ], "hardSkills" : [ { "name" : "Collections", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" } ], "majorSkills" : "Collections, Negotiation", "majorSkillsList" : [ "Collections", "Negotiation" ], "coreResponsibilities" : "Work delinquent accounts, Negotiate payment arrangements, Document all actions, Service accounts, Submit service requests, Update addresses, Update telephone numbers, Update emails, Participate in coaching, Participate in development sessions, Co-create solutions", "teamCollaboration" : "Collaborate cross-divisionally; Support other departments", "toolProficiency" : [ "Automated dialer system" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Document actions", "continuousLearning" : "Development sessions; Trainings", "problemSolvingSkills" : "Research account issues; Deescalate issues", "qualificationsBasic" : "2+ years collection experience, High school graduate, Basic computer skills, Basic communication skills, Basic listening skills, Basic negotiation skills, Basic problem solving skills", "qualificationsPreferred" : "Bachelor's degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: · Role is 100% remote (after in-office new hire training) · Competitive pay-$22.40 per hour plus an annual bonus target of 6% · Great benefits with very little out of pocket cost! · Car purchase discount plus $350.00 car allowance! · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect This is primarily responsible for working a group of delinquent accounts via an automated dialer system typically ranging from 1 to 79 days past due either inbound or outbound. The primary job function will be to negotiate payment arrangements while providing customer recommendations to keep the account current. This is done while complying with both external and internal compliance related policy and procedures. All positions within the Operations Division are expected to collaborate cross-divisionally to achieve a seamless customer experience; this includes supporting other departments as necessary to meet the business need. What You Will Do 1. Work a group of delinquent accounts via our automated dialer system either through inbound or outbound with the primary goal of negotiating payment arrangements to bring the account current. 2. Document all actions taken on account within system of record. 3. Service accounts as needed; submit service requests, complaints and update addresses, telephone numbers and emails. 4. Actively participate in coaching and development sessions/trainings to co-create solutions that enhance individual performance and overall department/team performance. 5. All other duties as assigned. What You Will Bring · 2+ years collection or relevant experience · Education in lieu of experience · High school graduate · Bachelor’s degree preferred · Basic computer skills - Knowledge of Windows including Word and Excel · Strong communication skills - Ability to clearly communicate thoughts and ideas to peers and customers · Strong listening skills - Ability to listen and understand direction · Strong negotiation skills – Ability to negotiate mutually beneficial arrangements with the customer · Strong problem solving and soft skills – Ability to research and solve account issues while deescalating when necessary Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-Georgia-Atlanta", "summaryDescription" : "Collections Associate at Hyundai Capital America. Skills: Collections, Negotiation. Work delinquent accounts. Negotiate payment arrangements", "createdAt" : "2026-06-14T06:51:34.701", "lastUpdated" : "2026-06-15T12:44:21.255", "ingestTimestamp" : "2026-06-14T06:51:34.701", "mongoId" : "69fc49a74c40e2acd1a83418", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Collections", "Negotiation", "Problem solving", "Automated dialer system" ], "skillCount" : 4, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30588bf292fd229cf42f11", "title" : "Associate Attorney Collections", "company" : "Bosun", "industry" : "Legal", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Associate Attorney Collections in New York, adjusted for industry and company size." }, "location" : "new york, NY", "locations" : [ "new york", "NY" ], "timestamp" : "2026-06-16T07:26:11.413", "fingerprint" : "e4b272fb254d247a793812f5457a16183917b5119698ba70bdde52873bda5c2e", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bosun-25f9d5ec70da.breezy.hr/p/365137f8fc4c-associate-attorney-collections", "externalId" : "365137f8fc4c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Our Client: Our Client is a well-established law firm with a strong reputation for delivering results-driven legal representation to its clients. With a team of experienced attorneys, the firm is committed to providing aggressive, proactive advocacy in every matter it handles — from straightf", "summaryDescription" : "Associate Attorney Collections at Bosun", "createdAt" : "2026-06-15T22:12:02.146", "lastUpdated" : "2026-06-16T07:26:11.413", "ingestTimestamp" : "2026-06-15T22:12:02.146", "mongoId" : "6a30588bf292fd229cf42f11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306782f292fd229cfbe6e7", "title" : "Growth Strategy Manager- Portuguese Speaker", "company" : "Fever", "industry" : "Technology", "salary" : { "min" : 1.1E7, "max" : 1.7E7, "currency" : "ARS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Growth Strategy Manager in Buenos Aires, Argentina, with adjustments for the technology industry and company size." }, "location" : "Buenos Aires", "locations" : [ "Buenos Aires" ], "timestamp" : "2026-06-16T06:56:12.962", "fingerprint" : "4d7680738b0cec5969501b29ac0369d7db9a54da40079a3824b0444f679f42d8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/feverup/jobs/4898242101", "externalId" : "4898242101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Buenos Aires", "country" : "Argentina", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-34.6095579,-58.3887904" } ], "locationText" : "Buenos Aires, Argentina", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Business development", "Data analysis", "Strategic planning", "Project leadership", "Business case development", "Revenue optimization", "Workflow optimization" ], "hardSkillsList" : [ "Data analysis", "Business strategy", "Market analysis", "Financial analysis" ], "softSkillsList" : [ "Leadership", "Problem-solving", "Decision-making" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business strategy", "level" : "intermediate" }, { "name" : "Market analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Problem-solving" }, { "name" : "Decision-making" } ], "majorSkills" : "Growth strategy, Market expansion, Partner management", "majorSkillsList" : [ "Growth strategy", "Market expansion", "Partner management" ], "coreResponsibilities" : "Own the growth roadmap, Define business model, Define partner portfolio, Lead key projects, Lead key partners, Define business plan for expansion, Drive projects for product prioritization, Drive projects for localized revenue optimization, Advise strategic partners, Leverage data and technology for partners, Turn data into business cases, Take accountability for business metrics, Optimize new business streams, Optimize cross-functional workflows, Support rapid growth, Build business cases for local needs, Help build business cases for marketing needs, Help build business cases for technology needs", "teamCollaboration" : "Work with other teams; Collaborate with stakeholders; Work with regional stakeholders; Work with General Managers", "projectManagementSkills" : [ "Project leadership" ], "domainKnowledge" : "Live entertainment; Culture industry; Tech platform", "domainList" : [ "live-entertainment", "culture-industry", "tech-platform" ], "domainSpecificKnowledge" : [ "Live entertainment", "Culture industry", "Tech platform" ], "communicationSkills" : "Craft convincing narratives; Manage stakeholders; Influence stakeholders; Align stakeholders", "continuousLearning" : "Language learning support", "innovationCreativity" : "Explore new growth opportunities", "problemSolvingSkills" : "Proactive problem-solver; Handle ambiguity", "outcomesObjectives" : "Deliver measurable business growth; Achieve growth ambitions; Help partners succeed; Help partners grow; Move key business metrics", "qualificationsBasic" : "4-5 years experience in analytical business role, Fluency in English, Fluency in Portuguese", "qualificationsPreferred" : "Experience in strategy consulting, Experience in fast growing startups, Experience in investment banking, Proficiency in SQL, Proficiency in Python, Proficiency in R", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F. C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. About the Team Growth is the team managing the engine responsible for driving the Fever growth ambition across all markets. Our goal is to ensure our partners thrive by leveraging Fever’s world-leading data, marketing, and product technology. We aim to fully understand the Fever business and work collaboratively with other teams to achieve the growth ambitions of Fever and our partners. About the Role As a Growth Strategy Manager, you will be a key architect of Fever’s expansion across the region. You won't just execute projects; you will own the growth roadmap, defining how we build our business model and partner portfolio. Working at the intersection of data, marketing, and business development, you will lead key projects and partners that drive our success in Brazil. You will be responsible for: Market Growth and Leadership: Define and lead the business plan for key expansion areas and partners in the Brazilian market. While driving projects with key impact on product prioritization and localized revenue optimization. Strategic leadership: Act as a lead advisor to our top-tier strategic partners. Leverage Fever’s proprietary data and technology to help our partners succeed and grow. Strategic Impact: Move beyond analysis to implementation. Lead projects that turn complex data into actionable business cases, and take full accountability for moving key business metrics (CAC, LTV, ROI). Operational Excellence: Optimize new business streams and cross-functional workflows. You will ensure that as we scale, our operations remain lean, efficient, and capable of supporting rapid growth across diverse markets. Global Stakeholder Management: Work closely with key regional stakeholders (i. e. Country and Regional General Managers) across our key APAC markets to help them build business cases for local marketing and technology needs within Fevers global product and marketing capabilities. About You Experience: At least 4-5 years of experience in an analytical business role with experience in strategy consulting, fast growing startups, or investment banking, a plus, including a proven track record of leading complex projects and delivering measurable business growth. Background: Bachelor's degree in Engineering, Maths, Statistics, Data Analytics, or Strategy. Analytical skills: Ability to leverage data, make strategic business decisions, and craft convincing narratives for senior stakeholders. Communication skills: Excellent interpersonal skills and a demonstrated ability to manage, influence, and align diverse stakeholders across different cultures and disciplines. Mindset: Proactive problem-solver who can handle ambiguity and make high-stakes decisions. Passionate about industry trends and eager to explore new growth opportunities in a fast-paced, evolving environment. Languages: Fluency in English and Portuguese is a must. Technical Skills: Proficiency in SQL, Python, or R is preferred. Benefits & Perks Attractive compensation package, including stock options to reward your contributions and growth. 40% discount on all Fever events and experiences + free Candlelight voucher. 20 days of paid annual leave to support your well-being and personal time outside of work. Private health & dental insurance: OSDE 410 plan fully covered by Fever. Wellhub membership for gym and wellness access: 100% covered by Fever up to the Silver plan. Language learning support: English and Spanish lessons. Hybrid work setup: home office friendly with a central Buenos Aires office location. Dynamic international team: a young, talented group creating a great work environment. #LI-hybrid #LI-fulltime Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice", "summaryDescription" : "Growth Strategy Manager- Portuguese Speaker at Fever. Skills: Growth strategy, Market expansion, Partner management. Own the growth roadmap. Define business model", "postedDate" : "2026-06-15T23:22:53.956", "createdAt" : "2026-06-15T23:22:53.956", "lastUpdated" : "2026-06-16T06:56:12.962", "ingestTimestamp" : "2026-06-15T23:22:53.956", "mongoId" : "6a306782f292fd229cfbe6e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Business strategy", "Market analysis", "Financial analysis", "Leadership", "Problem-solving", "Decision-making", "Growth strategy", "Market expansion", "Partner management", "Business development", "Strategic planning", "Project leadership", "Business case development", "Revenue optimization", "Workflow optimization", "Live entertainment", "Culture industry", "Tech platform" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ce99074d8ee00a0a6e249", "title" : "Equipment Collection Valet", "company" : "Central Snowsports", "industry" : "Sports & Fitness", "salary" : { "min" : 2750000.0, "max" : 3500000.0, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Equipment Collection Valet in Hakuba, Japan, adjusted for the hospitality industry and temporary employment type." }, "location" : "Hakuba, JP", "locations" : [ "Hakuba", "JP" ], "timestamp" : "2026-06-16T04:50:01.144", "fingerprint" : "8ec1db57a2ed4f046fe50c387d8dc3dbc33a72776ea7abd5a9fa7acdf41715b7", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://central-snowsports.breezy.hr/p/1148908f2c43-equipment-collection-valet", "externalId" : "1148908f2c43", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hakuba", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "36.6981042,137.8620680" } ], "locationText" : "Hakuba, Japan", "employmentType" : "TEMPORARY", "coreResponsibilities" : "Collect returned rental equipment from accommodation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Want a role that gets you out and about across the Hakuba Valley and keeps you moving all day? Join Central Snowsports as an Equipment Collection Valet this winter in Hakuba. As part of the ECV team, you’ll be responsible for collecting returned rental equipment from accommodation and ensuring ever", "summaryDescription" : "Equipment Collection Valet at Central Snowsports. Collect returned rental equipment from accommodation", "createdAt" : "2026-06-14T21:06:18.115", "lastUpdated" : "2026-06-16T04:50:01.144", "ingestTimestamp" : "2026-06-14T21:06:18.115", "mongoId" : "6a2ce99074d8ee00a0a6e249", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.85 }, { "id" : "6a305a58f292fd229cf4f698", "title" : "Audio Visual Lead Technician", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Audio Visual Lead Technician in Tampa, adjusted for lead seniority and full-time employment." }, "location" : "Tampa, FL", "locations" : [ "Tampa, FL" ], "timestamp" : "2026-06-16T09:22:18.835", "fingerprint" : "a70755fb06553d79fb32309631fb68d475130b3e7ee7855982ae0eb8b3de08cf", "source" : "jazzhr", "language" : "en", "externalId" : "ZK898HqfQq", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Operate audio visual equipment, Perform routine maintenance on AV systems, Troubleshoot AV system issues, Assist with AV system setup and teardown, Manage AV inventory and supplies, Provide technical support for AV events, Train users on AV equipment operation, Maintain AV documentation and records", "teamCollaboration" : "Event production teams; Venue staff; Client representatives", "domainKnowledge" : "Audio visual systems; Video conferencing platforms; Sound reinforcement", "domainList" : [ "audio-visual-systems", "video-conferencing-platforms", "sound-reinforcement" ], "domainSpecificKnowledge" : [ "Audio visual systems", "Video conferencing platforms", "Sound reinforcement" ], "communicationSkills" : "Client support; Technical guidance", "documentationSkills" : "AV system documentation", "problemSolvingSkills" : "AV troubleshooting", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Audio Visual Lead Technician. Operate audio visual equipment. Perform routine maintenance on AV systems", "createdAt" : "2026-06-15T22:18:01.258", "lastUpdated" : "2026-06-16T09:22:18.835", "ingestTimestamp" : "2026-06-15T22:18:01.258", "mongoId" : "6a305a58f292fd229cf4f698", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Audio visual systems", "Video conferencing platforms", "Sound reinforcement" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c6ace74d8ee00a090e1b4", "title" : "Voice Recording Specialist - Japanese and Chinese", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 100000.0, "max" : 180000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Voice Recording Specialist in China, adjusted for the technology industry and remote work." }, "location" : "ICL - Remote - CN", "locations" : [ "ICL - Remote - CN" ], "timestamp" : "2026-06-16T04:13:20.049", "fingerprint" : "cef05d5c0eabceb8e261e7c16a351599afe5c29701c51ae59a79b5ccecee7fc7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4265217009", "externalId" : "4265217009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "China", "continent" : "as", "workMode" : "remote" } ], "locationText" : "China", "majorSkills" : "Voice recording, Language collection, Transcription, Audio quality", "majorSkillsList" : [ "Voice recording", "Language collection", "Transcription", "Audio quality" ], "coreResponsibilities" : "Record high-quality audio, Read scripts naturally, Perform basic audio reviews, Follow recording instructions, Support transcription tasks, Support annotation tasks, Support language quality assurance tasks, Meet productivity deadlines, Meet project deadlines, Collaborate with project managers, Collaborate with language teams", "domainKnowledge" : "Generative AI; AI systems", "domainList" : [ "generative-ai", "ai-systems" ], "domainSpecificKnowledge" : [ "Generative AI", "AI systems" ], "toolProficiency" : [ "Recording software", "Mobile apps", "Computer-based tools" ], "communicationSkills" : "Verbal communication", "qualificationsBasic" : "Fluent in Chinese and Japanese, Clear pronunciation in both languages, Verbal communication skills", "qualificationsPreferred" : "Prior voice recording experience, Translation experience, Localization experience, Customer support experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are seeking a bilingual Voice Recording Specialist fluent in both Chinese and Japanese to support voice recording, language collection, transcription, and audio quality projects. This role involves recording scripted and conversational audio while maintaining accuracy, pronunciation quality, and consistency across recordings. The ideal candidate has strong verbal communication skills, clear pronunciation in both languages, and the ability to follow detailed recording guidelines. What You’ll Own: Record high-quality audio in Chinese and Japanese for voice and language projects Read scripts naturally and accurately with proper pronunciation and tone Perform basic audio reviews to ensure recording quality and clarity Follow recording instructions, language guidelines, and project requirements Support transcription, annotation, or language quality assurance tasks as needed Meet productivity and project deadlines Collaborate with project managers and language teams You’ll Thrive in This Role If You Have: Fluent in Chinese and Japanese (spoken and written) Strong pronunciation and verbal communication skills Comfortable using recording software, mobile apps, or computer-based tools Excellent attention to detail Ability to work independently and manage deadlines Prior voice recording, translation, localization, or customer support experience is a plus The expected hourly salary range for this position is $20 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Voice Recording Specialist - Japanese and Chinese at Innodata Inc.. Skills: Voice recording, Language collection, Transcription, Audio quality. Record high-quality audio. Read scripts naturally", "postedDate" : "2026-06-14T18:38:03.390", "createdAt" : "2026-06-14T18:38:03.390", "lastUpdated" : "2026-06-16T04:13:20.049", "ingestTimestamp" : "2026-06-14T18:38:03.390", "mongoId" : "6a2c6ace74d8ee00a090e1b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Voice recording", "Language collection", "Transcription", "Audio quality", "Generative AI", "AI systems", "Recording software", "Mobile apps", "Computer-based tools" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c6ace74d8ee00a090e152", "title" : "Audio Solutions Architect", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "INN - Remote - US", "locations" : [ "INN - Remote - US" ], "timestamp" : "2026-06-15T03:18:24.996", "fingerprint" : "01e2669a4fd7b00117c5ad17425f378b03a797d3dd6f9d94db7bc95e351afe88", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4282289009", "externalId" : "4282289009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Speech AI, Generative AI, AI", "professionalSkills" : [ "Thought leadership", "Go-to-market research", "Content production", "Public speaking" ], "hardSkillsList" : [ "Audio technical specifications", "Transcript/metadata schemas", "Quality metrics", "Annotation", "Audio production" ], "hardSkills" : [ { "name" : "Audio technical specifications", "level" : "intermediate" }, { "name" : "Transcript/metadata schemas", "level" : "intermediate" }, { "name" : "Quality metrics", "level" : "intermediate" }, { "name" : "Annotation", "level" : "intermediate" }, { "name" : "Audio production", "level" : "intermediate" } ], "majorSkills" : "Audio data, Speech AI, Data collection", "majorSkillsList" : [ "Audio data", "Speech AI", "Data collection" ], "coreResponsibilities" : "Be technical partner to customers, Be external technical voice, Sit with frontier lab, Sit with enterprise team, Understand customer training needs, Shape data collection program, Keep us at frontier of speech AI, Produce go-to-market research, Produce content, Speak at conferences, Establish Innodata as credible partner", "teamCollaboration" : "Presales teams; Frontier lab teams; Enterprise teams", "domainKnowledge" : "Speech AI; Conversational voice models; Text-to-speech; Speech recognition; Speech-to-speech", "domainList" : [ "speech-ai", "conversational-voice-models", "text-to-speech", "speech-recognition", "speech-to-speech" ], "domainSpecificKnowledge" : [ "Speech AI", "Conversational voice models", "Text-to-speech", "Speech recognition", "Speech-to-speech" ], "communicationSkills" : "Conference stage presence", "qualificationsBasic" : "Technical authority in sales, Public body of work in speech/audio, Hands-on experience with speech datasets, Background working with AI lab, Background working with voice-AI company", "qualificationsPreferred" : "Multilingual / localization exposure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Innodata builds the high-quality voice and audio datasets that power the world's leading speech AI — text-to-speech, speech recognition, and the new generation of speech-to-speech and conversational voice models. We're hiring an Audio Solutions Architect to be both the technical partner to our customers in presales and the external technical voice of our audio practice. This is a hybrid role with two equally weighted halves. In presales, you sit with a frontier lab or enterprise team, understand what they're trying to train, and shape the data collection program that gets them there. In thought leadership, you keep us at the frontier of speech AI — producing go-to-market research and content, speaking at conferences, and establishing Innodata as the most technically credible audio data partner in the market. The two reinforce each other. What You’ll Own: Presales comfortable being the technical authority in a sales conversation and on a conference stage. Familiarity with audio technical specifications (sample rates, LUFS, formats), transcript/metadata schemas, and quality metrics (WER, DER). A public body of work in speech/audio: talks, papers, blog posts, benchmarks. Hands-on experience with speech datasets, annotation, or audio production. Background working with or at a frontier AI lab or voice-AI product company. Multilingual / localization exposure. The expected salary range for this position is $150,000 – $230,000 USD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Audio Solutions Architect at Innodata Inc.. Skills: Audio data, Speech AI, Data collection. Be technical partner to customers. Be external technical voice", "postedDate" : "2026-06-13T20:53:35.781", "createdAt" : "2026-06-13T20:53:35.781", "lastUpdated" : "2026-06-15T03:18:24.996", "ingestTimestamp" : "2026-06-13T20:53:35.781", "mongoId" : "6a2c6ace74d8ee00a090e152", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Audio technical specifications", "Transcript/metadata schemas", "Quality metrics", "Annotation", "Audio production", "Audio data", "Speech AI", "Data collection", "Thought leadership", "Go-to-market research", "Content production", "Public speaking", "Conversational voice models", "Text-to-speech", "Speech recognition", "Speech-to-speech" ], "skillCount" : 16, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7eb674d8ee00a09535a0", "title" : "Associate AI Conversation Designer", "company" : "Pearl", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Associate AI Conversation Designer in the Technology industry in Bulgaria, adjusted for a remote work mode and entry-level experience." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T03:13:36.903", "fingerprint" : "2bfe07d81949740adc38fc347641c86adf7be41fc3ef511e884692c8a470a188", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/justanswer/jobs/8587759002", "externalId" : "8587759002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Data decides, not egos Courageous: We take risks and challenge the status quo Innovative: We're constantly learning, creating, and adapting Lean: We focus on customers, using lean testing to learn how to serve them best Humble: Past success is not a guarantee of future success About the Role As an Associate Conversation Designer at Pearl, you'll help build and evolve chatbots that support and convert millions of customers around the world. This role is focused on the German market and requires native-level German fluency to design, review, and optimize customer-facing conversational experiences. You'll work alongside experienced conversation designers to create engaging, efficient conversational flows using our in-house language, blending creativity with data to deliver delightful AI + Human-powered experiences. This is an excellent opportunity for an early-career professional who is curious about AI, passionate about conversation design and user experiences, and excited to learn in a fast-paced, collaborative environment. This role works closely with cross-functional and international teams across multiple time zones. To support collaboration with our global partners, we are seeking candidates located in the Central or Eastern time zones of the United States. What You’ll Do Design and optimize chatbot flows to convert, engage, and support customers across e-commerce and customer service journeys Write clear, compelling conversation copy that aligns with brand tone and business objectives Analyze customer transcripts and chatbot performance to identify gaps and propose improvements Apply NLP/LLM tools and prompt engineering to enhance response quality and scalability Partner with international teams to localize and align bots with regional goals and personas Collaborate with analytics to evaluate performance metrics and measure impact Conduct QA (functional, linguistic, and regression) testing of bot interactions Lead or contribute to special projects (e.g., chatbot consolidation, competitor analysis, new bot launches) What We’re Looking For Native-level fluency in German Bachelor's degree or equivalent experience in Linguistics, Cognitive Science, Human-Computer Interaction, Computer Science, Human-Centered Design, or a related field 0–2 years of experience designing and launching chatbot or conversational AI solutions in production environments, or through internships, academic projects, or research Experience working with or exposure to LLMs and prompt engineering Introductory knowledge of Python or another scripting language applied to conversational systems or automation preferred Excellent written and verbal communication skills Strong attention to detail and ability to identify patterns, inconsistencies, and opportunities for improvement Eagerness to learn new technologies, tools, and ways of working Curious, analytical mindset with a passion for understanding customer behavior and solving problems Ability to manage multiple priorities and stay organized in a fast-paced environment Strong collaboration skills and openness to feedback Comfortable working with data and using insights to inform decisions Demonstrated initiative through coursework, internships, projects, leadership experiences, or extracurricular activities Interest in AI, conversational design, customer experience, or emerging technologies Bonus Points For Coursework, projects, or internships involving AI, chatbots, UX writing, customer experience, or product design Experience using tools such as Figma, Excel, PowerBI, Asana, LucidChart, or similar platforms Experience working on team-based projects with multiple stakeholders Interest in global markets, localization, or multilingual experiences Why Join Pearl At Pearl, we’re redefining how people access expert help—combining AI-powered conversation design with human expertise to deliver fast, personalized support. You’ll join a global, mission-driven team working at the intersection of technology, language, and empathy. Every interaction you design helps someone get answers, make decisions, or solve a problem that matters. We offer a flexible, collaborative environment where designers, engineers, and product thinkers shape the future of AI + Human interaction together. The Impact You’ll Have Your work will directly influence how customers experience Pearl every day. You'll play a key role in shaping conversational experiences that drive customer engagement, improve satisfaction, and increase conversion across the customer journey. By helping create intelligent, localized, and empathetic chatbot experiences, you'll contribute to the growth of Pearl's presence in the German market while helping customers get answers, make decisions, and solve problems more efficiently. This is your opportunity to shape the future of AI-human interaction in a company that’s redefining expert access at scale. If you’re passionate about designing conversations that matter—and you like solving tough problems with smart people—we’d love to hear from you. Remote From these States: Florida, Georgia, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Texas, Virginia, and Wisconsin. Pay Transparency: Pearl will provide pay transparency information upon application to those in qualifying jurisdictions. (Employment is with JustAnswer LLC, a Pearl company. Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy. #LI-Remote", "summaryDescription" : "Associate AI Conversation Designer at Pearl", "postedDate" : "2026-06-14T19:20:07.903", "createdAt" : "2026-06-14T19:20:07.903", "lastUpdated" : "2026-06-16T03:13:36.903", "ingestTimestamp" : "2026-06-14T19:20:07.903", "mongoId" : "6a2c7eb674d8ee00a09535a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30503ef292fd229ceede83", "title" : "Software Engineer Intern, Conversational AI (Alfie)", "company" : "Pebl", "industry" : "Technology", "salary" : { "min" : 28.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : " Palo Alto, CA ", "locations" : [ " Palo Alto, CA " ], "timestamp" : "2026-06-16T12:16:42.602", "fingerprint" : "c6c62bbc69b82ff84f571b9793861cd15e5d034e138f7360aefad8e559f4aa5b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/pebl/dda67c17-87a7-477b-a0d4-a748fd75ae44/application", "externalId" : "dda67c17-87a7-477b-a0d4-a748fd75ae44", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "Purpose in Every Position Pebl puts a world of talent at your fingertips. With our AI-powered Global Work Platform™, companies can hire, pay, and manage employees in 185+ countries—removing risk, red tape, and guesswork from global growth. Backed by more than a decade of compliance leadership and local expertise, Pebl helps businesses move fast, stay compliant, and scale with confidence. With Pebl, companies everywhere can hire great talent anywhere. Where Your Work Moves the Needle. At Pebl, every team member drives our success. Joining us means more than filling a role—you’re accountable for results and impact. Our values guide how we operate, execute, and collaborate across borders. By putting them into action, you’ll help us scale faster, compete harder, and lead the future of global work. What Makes You a Great Fit Alfie is Pebl’s proprietary conversational AI — built in-house and live across our product, our self-serve flow, and hellopebl.com. Alfie doesn’t just answer questions; it takes action, surfaces insights, and guides users toward what they actually need. It’s one of the most visible parts of our product and a direct factor in how we win enterprise deals. The Conversational AI engineering team owns the full stack behind Alfie: the model integrations, retrieval and context systems, evaluation infrastructure, and the APIs that surface Alfie’s capabilities across Pebl’s platform. This summer, you’ll work directly alongside senior engineers on systems that are live, customer-facing, and under active development. You’ll be hands-on with the hardest open problems on the team: how do we measure and systematically improve Alfie’s response quality? How should our retrieval pipeline handle edge cases? Where are the latency and reliability bottlenecks, and how do we fix them? Your work will ship to a live product and have real impact on users and business outcomes. This is a 12-week internship in Palo Alto, CA. How You'll Make An Impact: The exact scope will be shaped by where the biggest opportunities are when you start, but expect a mix of: - Contributing meaningfully to Alfie’s core AI stack — working across model integrations, context management, prompt systems, and the retrieval pipeline that feeds Alfie accurate, grounded responses. - Playing an active role in evaluation tooling: helping develop automated test suites, quality scorecards, and regression harnesses that let us measure Alfie’s performance and ship improvements with confidence. - Helping diagnose reliability and latency issues in production — tracing calls, profiling bottlenecks, and contributing fixes that improve system stability and scale. - Working closely with the PM and engineering team to understand product requirements and contribute to the technical implementation. - Contributing to internal AI tooling (Athena, Pebl’s employee-facing AI) on similar infrastructure and evaluation problems. Let's Connect If You Have: You’re a builder who is genuinely excited about AI systems, comfortable with ambiguity, and at your best when you’re working close to the metal on something that matters. You write clean code, ask good questions before jumping to solutions, and take ownership of your work end-to-end. Specifically: - Currently pursuing a BS or MS in Computer Science, Machine Learning, or a related field (or equivalent hands-on experience) - Strong foundation in Python — you’re comfortable writing production-quality code, not just notebooks - Working knowledge of LLMs and how they're used in real systems — you understand context engineering, agent harnesses, tool use, and how model behavior is shaped by what gets passed in and when. - Experience building or debugging backend services; REST APIs and async patterns are familiar territory - Exposure to ML evaluation methods, testing frameworks, or observability tooling is a plus - A habit of building with AI tools, not just reading about them Pebl is an Equal Opportunity Employer. We power global teams and believe diverse perspectives drive innovation and impact. Employment decisions at Pebl are based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law. We’re committed to fostering an inclusive culture where every teammate can thrive and do the best work of their career—anywhere in the world.", "summaryDescription" : "Software Engineer Intern, Conversational AI (Alfie) at Pebl", "createdAt" : "2026-06-16T00:28:44.125", "lastUpdated" : "2026-06-16T12:16:42.602", "ingestTimestamp" : "2026-06-16T00:28:44.125", "mongoId" : "6a30503ef292fd229ceede83", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a58f292fd229cf4f697", "title" : "Audio Visual Lead Technician", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Audio Visual Lead Technician in Orlando, Florida, adjusted for lead seniority and full-time employment." }, "location" : "Orlando, FL", "locations" : [ "Orlando, FL" ], "timestamp" : "2026-06-16T07:31:06.192", "fingerprint" : "e2a519f3d41fe09dc27e330fed7118a0551c9bde2ec6a60dd3bcaa12f5cbad63", "source" : "jazzhr", "language" : "en", "externalId" : "GQE40DymlZ", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Orlando", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.5421218,-81.3790450" } ], "locationText" : "Orlando, Florida, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Manage audio visual equipment, Perform maintenance on audio visual systems, Troubleshoot audio visual issues, Install audio visual equipment, Operate audio visual systems, Provide technical support for events, Maintain inventory of audio visual equipment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Audio Visual Lead Technician. Manage audio visual equipment. Perform maintenance on audio visual systems", "createdAt" : "2026-06-15T22:26:58.605", "lastUpdated" : "2026-06-16T07:31:06.192", "ingestTimestamp" : "2026-06-15T22:26:58.605", "mongoId" : "6a305a58f292fd229cf4f697", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a30599af292fd229cf493d1", "title" : "Senior Technician - Audio Visual", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Technician - Audio Visual in Vancouver, Canada, adjusted for seniority and full-time employment." }, "location" : "Vancouver, BC", "locations" : [ "Vancouver, BC" ], "timestamp" : "2026-06-16T07:14:16.321", "fingerprint" : "46107cea104b5cb46d4fbc93602044882ea1d83f8efd87a15628b6bf2eeb2877", "source" : "jazzhr", "language" : "en", "externalId" : "NV0rOE0QsE", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior Technician - Audio Visual", "createdAt" : "2026-06-15T22:24:16.928", "lastUpdated" : "2026-06-16T07:14:16.321", "ingestTimestamp" : "2026-06-15T22:24:16.928", "mongoId" : "6a30599af292fd229cf493d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a307f87f292fd229c05a499", "title" : "Forward Deployed Engineer III, Conversational AI", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Forward Deployed Engineer III, Conversational AI in Sydney, Australia, adjusted for the technology industry and full-time employment." }, "location" : "[Sydney NSW, Australia, [Sydney NSW, Australia], Sydney, null, NSW, AU]", "locations" : [ "[Sydney NSW, Australia, [Sydney NSW, Australia], Sydney, null, NSW, AU]", "[Docklands VIC, Australia, [Docklands VIC 3008, Australia], Docklands, 3008, VIC, AU]" ], "timestamp" : "2026-06-16T12:30:05.262", "fingerprint" : "13d98b2c0971cf1b7f771cec6f6c9821b5f14ef3d092b88fb4826eef8ede8df8", "source" : "google", 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"hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2f", "title" : "Associate Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "New York, New York", "Miami, Florida" ], "timestamp" : "2026-06-16T12:09:58.464", "fingerprint" : "9b7049668b62246f07ccd77076acb9e8f68d6e0760298154f50cb902d1c3864d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/488c142a-7f78-44be-b358-6c2a91f4df73/application", "externalId" : "488c142a-7f78-44be-b358-6c2a91f4df73", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical ability" ], "hardSkillsList" : [ "Data structuring", "Data interpretation" ], "hardSkills" : [ { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "coreResponsibilities" : "Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Tell what's happening, Tell why, Tell next steps", "teamCollaboration" : "Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car ownership; Insurance; Driving insights; Diagnostics; Repair marketplace; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership", "insurance", "driving-insights", "diagnostics", "repair-marketplace", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communicator; Influence decisions", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "1+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define metrics. Build reports", "createdAt" : "2026-06-16T00:32:04.342", "lastUpdated" : "2026-06-16T12:09:58.464", "ingestTimestamp" : "2026-06-16T00:32:04.342", "mongoId" : "6a305930f292fd229cf45a2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data structuring", "Data interpretation", "Data Science", "Analytics", "First principles thinking", "Analytical ability", "Car ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Home ownership", "Motorcycle ownership", "RV ownership", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "conversational data collection associate audio recording portuguese jobs", "metadata" : { "title" : "conversational data collection associate audio recording portuguese" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 52063, "totalPages" : 1042, "hasNext" : true, "hasPrevious" : false } }

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