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We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. 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Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Annotator at Innodata Inc.. Skills: Generative AI, Large language models. Rate AI model performance. 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We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Annotator to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. 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Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Generative AI Annotator at Innodata Inc.. Skills: Generative AI, Large Language Models. Rate/assess AI model performance. 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Transcribe audio recordings accurately. 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We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $13 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" : "Data Annotator at Innodata Inc.. Skills: Data annotation, AI development, Language understanding. Rate AI model performance. Assess AI model behavior", "postedDate" : "2026-06-13T20:08:26.994", "createdAt" : "2026-06-13T20:08:26.994", "lastUpdated" : "2026-06-15T11:07:30.384", "ingestTimestamp" : "2026-06-13T20:08:26.994", "mongoId" : "6a2c6ace74d8ee00a090e156", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data annotation", "Content labeling", "Data transformation", "Data gathering", "Data compilation", "Text summarization", "Speech to text", "Translation", "AI development", "Language understanding", "Data engineering", "Evaluation frameworks", "Human expertise", "Generative AI", "Large Language Models" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 616.33966, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e139", "title" : "AI Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 9.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T07:38:36.687", "fingerprint" : "6427be849ee79907c7159fbf378fbf7b7a9faca428ed3e96a6edeb31ace20a36", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232491009", "externalId" : "4232491009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "AI, LLMs, Machine learning", "professionalSkills" : [ "Data annotation", "Content evaluation", "Data labeling", "Quality assessment", "Data generation", "Data transformation", "Data review", "Data ranking", "Prompt creation", "Content relevance", "Response generation", "Text rewriting", "Summarization", "Transcription", "Translation", "Data gathering", "Data compilation" ], "hardSkillsList" : [ "Language intricacies", "Reasoning" ], "hardSkills" : [ { "name" : "Language intricacies", "level" : "intermediate" }, { "name" : "Reasoning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large language models", "majorSkillsList" : [ "Generative AI", "Large language models" ], "coreResponsibilities" : "Rate AI model performance, Assess AI model behavior, Label content elements, Assign predefined categories, Evaluate content quality, Evaluate content appropriateness, Generate labels for concepts, Create training data, Apply data transformations, Modify images, Generate new text, Alter audio/video signals, Review data, Identify product feature function, Label model outputs, Identify content type, Order items by criteria, Rank items by criteria, Create prompts for AI, Evaluate content relevance, Generate responses from AI, Rewrite existing text, Preserve original meaning, Produce concise summaries, Convert audio to text, Convert language to text, Gather data, Compile data", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency in English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Annotator at Innodata Inc.. Skills: Generative AI, Large language models. Rate AI model performance. Assess AI model behavior", "postedDate" : "2026-06-13T20:08:23.309", "createdAt" : "2026-06-13T20:08:23.309", "lastUpdated" : "2026-06-15T07:38:36.687", "ingestTimestamp" : "2026-06-13T20:08:23.309", "mongoId" : "6a2c6ace74d8ee00a090e139", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 18720, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Language intricacies", "Reasoning", "Generative AI", "Large language models", "Data annotation", "Content evaluation", "Data labeling", "Quality assessment", "Data generation", "Data transformation", "Data review", "Data ranking", "Prompt creation", "Content relevance", "Response generation", "Text rewriting", "Summarization", "Transcription", "Translation", "Data gathering", "Data compilation" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 609.81055, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e155", "title" : "Data Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level Data Annotator compensation in Bulgaria, adjusted for a part-time remote role in the technology industry." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T05:15:03.250", "fingerprint" : "7ec94f33947c2d9ecc0224266f4047f6c4d3d59572c1bba505186556883a4928", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4235828009", "externalId" : "4235828009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate content quality/appropriateness, Generate labels for concept understanding, Create training data by transforming data, Review data and identify product feature function, Label model outputs, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert content between languages, Gather and compile data for AI models", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $13 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" : "Data Annotator at Innodata Inc.. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T20:03:44.730", "createdAt" : "2026-06-14T20:03:44.730", "lastUpdated" : "2026-06-16T05:15:03.250", "ingestTimestamp" : "2026-06-14T20:03:44.730", "mongoId" : "6a2c6ace74d8ee00a090e155", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Generative AI", "Large language models" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 593.5847, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e15f", "title" : "Data Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Data Annotator in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T00:35:22.109", "fingerprint" : "13d41f4e12f1d70197e75a5fc7205669e36c7b2ea9413cee46ee42c1e0c3e49a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232469009", "externalId" : "4232469009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate perceived quality/appropriateness of content, Generate labels to advance concept understanding, Create training data by applying transformations, Modify images (rotation, flipping, cropping), Generate new text (paraphrasing, summarization), Alter audio/video signals (speed modification, pitch shifting), Review data and identify product feature function, Label model outputs, Identify gaming, Identify branded content, Order or rank items based on criteria, Create prompts or questions for AI systems, Evaluate content relevance, Generate responses to prompts or questions, Rewrite existing text preserving original meaning, Produce concise summaries of text or data, Convert spoken language to written text, Convert text or spoken language from one language, Gather and compile data for AI models, Compile text, images, videos, audio files", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Data Annotator at Innodata Inc.. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T20:02:39.234", "createdAt" : "2026-06-14T20:02:39.234", "lastUpdated" : "2026-06-16T00:35:22.109", "ingestTimestamp" : "2026-06-14T20:02:39.234", "mongoId" : "6a2c6ace74d8ee00a090e15f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Generative AI", "Large language models" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 593.5317, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e161", "title" : "Data Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry level Data Annotator in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T02:40:34.194", "fingerprint" : "05fbbbb7ef751e564376b00b473c03750f2b12f76b320024dccb9dd447601dd0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4234822009", "externalId" : "4234822009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate perceived quality/appropriateness of content, Generate labels to advance concept understanding, Create training data by applying transformations, Modify images (rotation, flipping, cropping), Generate new text (paraphrasing, summarization), Alter audio/video signals (speed modification, pitch shifting), Review data and identify product feature function, Label model outputs, Identify gaming, Identify branded content, Order or rank items based on criteria, Create prompts for language models, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert text from one language to another, Gather and compile data for AI models", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Data Annotator at Innodata Inc.. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T19:57:50.206", "createdAt" : "2026-06-14T19:57:50.206", "lastUpdated" : "2026-06-16T02:40:34.194", "ingestTimestamp" : "2026-06-14T19:57:50.206", "mongoId" : "6a2c6ace74d8ee00a090e161", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Generative AI", "Large language models" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 593.2978, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e160", "title" : "Data Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Data Annotator in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T04:34:14.360", "fingerprint" : "56ba0b2819dcc4bd5fa25a55bdc7318fe938c274db725c57cbc0f5012889d1d6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232330009", "externalId" : "4232330009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate content quality/appropriateness, Generate labels for concept understanding, Create training data by transforming data, Modify images (rotation, flipping, cropping), Generate new text (paraphrasing, summarization), Alter audio/video signals (speed, pitch), Review data and identify product feature function, Label model outputs, Identify gaming, Identify branded content, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses to prompts, Rewrite text preserving original meaning, Produce concise summaries, Convert spoken language to text, Convert text/spoken language between languages, Gather and compile data for AI models", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Data Annotator at Innodata Inc.. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T18:33:03.429", "createdAt" : "2026-06-14T18:33:03.429", "lastUpdated" : "2026-06-16T04:34:14.360", "ingestTimestamp" : "2026-06-14T18:33:03.429", "mongoId" : "6a2c6ace74d8ee00a090e160", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Generative AI", "Large language models" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 589.1766, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305640f292fd229cf264ab", "title" : "AI-Native Auditor", "company" : "Modus", "industry" : "Audit", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI-Native Auditor in New York, Financial Services, adjusted for company size and industry." }, "location" : "New York", "locations" : [ "New York" ], "certifications" : [ "CPA", "CPA candidate" ], "timestamp" : "2026-06-16T08:06:20.472", "fingerprint" : "d41e4433af9213d7746d0950fc6f2b91c0123fd0a3086ceb80cee9180f1884a6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/modus/1d21500c-0aa1-4eac-aebf-fa444cbac88e/application", "externalId" : "1d21500c-0aa1-4eac-aebf-fa444cbac88e", "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", "experienceMinYears" : 0, "experienceMaxYears" : 4, "experienceLevel" : "Entry", "softSkillsList" : [ "Comfortable with ambiguity" ], "softSkills" : [ { "name" : "Comfortable with ambiguity" } ], "coreResponsibilities" : "Complete audit workpapers end-to-end, Pull ready work from system, Own quality of everything shipped, Partner with reviewers, Push the product frontier, Provide feedback on tools", "teamCollaboration" : "Partnering with reviewers; Partnering with partners", "toolProficiency" : [ "Modus platform" ], "qualificationsBasic" : "0–4 years experience, CPA or CPA candidate, On track for CPA", "remoteFriendly" : true, "rawDescription" : "We're hiring AI-Native Auditors Early-career and already living in AI tools? We'll hand you our platform and let you out-produce an entire team. What You'll Do - Complete audit workpapers end-to-end, paired with our AI platform, at a speed and volume no traditional team can match - Pull ready work from Modus' practice management system tp keep engagements moving without waiting to be told what's next - Own the quality of everything you ship, partnering with reviewers and partners through sign-off - Push the product frontier — you'll be one of our heaviest users, and your feedback directly shapes the tools every Modus auditor relies on What We're Looking For - Early-career auditor (roughly 0–4 years); CPA, CPA candidate, or on track - Already living in AI tools and obsessed with using them to work faster - Comfortable with ambiguity - High-motor Why Modus Modus partners with firms by deploying purpose-built AI and growth resources to make our professionals' lives easier. We're building the future of accounting, and are looking to hire ambitious talent to help get there. ", "summaryDescription" : "AI-Native Auditor at Modus. Complete audit workpapers end-to-end. Pull ready work from system", "createdAt" : "2026-06-16T00:30:32.709", "lastUpdated" : "2026-06-16T08:06:20.472", "ingestTimestamp" : "2026-06-16T00:30:32.709", "mongoId" : "6a305640f292fd229cf264ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Comfortable with ambiguity", "CPA", "CPA candidate", "Modus platform" ], "skillCount" : 4, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 571.164, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ace74d8ee00a090e164", "title" : "Generative AI Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 31200.0, "max" : 46800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level remote technology roles in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T10:19:23.517", "fingerprint" : "4e7ec68659f1197b6a581ecf278a3d5d1acc5ddd3547c56c83fdd670ab8115c8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232484009", "externalId" : "4232484009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "Generative AI, Large language models, Machine learning", "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large language models, Data annotation", "majorSkillsList" : [ "Generative AI", "Large language models", "Data annotation" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate perceived quality or appropriateness, Generate labels to advance understanding, Create additional training data, Apply transformations to data, Review data and identify feature function, Label model outputs, Order or rank items, Create prompts or questions, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert content from one language to another, Gather and compile data", "domainKnowledge" : "Artificial intelligence; Large language models", "domainList" : [ "artificial-intelligence", "large-language-models" ], "domainSpecificKnowledge" : [ "Artificial intelligence", "Large language models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotator to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Generative AI Annotator at Innodata Inc.. Skills: Generative AI, Large language models, Data annotation. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-13T21:55:44.298", "createdAt" : "2026-06-13T21:55:44.298", "lastUpdated" : "2026-06-15T10:19:23.517", "ingestTimestamp" : "2026-06-13T21:55:44.298", "mongoId" : "6a2c6ace74d8ee00a090e164", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 46800, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Generative AI", "Large language models", "Data annotation", "Artificial intelligence" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 564.34216, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e158", "title" : "Data Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 400000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Annotator in India, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:50:36.888", "fingerprint" : "d478c716c3e8bf3d620c5c8b4707d98b57818f678461ca9d02823d48f0d530a3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4235832009", "externalId" : "4235832009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data annotation", "Data labeling", "Content evaluation", "Data transformation", "Data review", "Data gathering", "Data compilation" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Natural language processing", "Data modeling", "Data engineering", "AI development" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "AI development", "level" : "intermediate" } ], "majorSkills" : "Data Annotation, AI Development, LLM Training", "majorSkillsList" : [ "Data Annotation", "AI Development", "LLM Training" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories/labels, Evaluate content quality/appropriateness, Generate labels for concepts/trends, Create training data, Apply data transformations, Review data for product feature function, Label model outputs, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses from AI systems, Rewrite existing text, Produce text summaries, Convert audio to text, Translate languages, Gather and compile data", "domainKnowledge" : "Generative AI; Large Language Models; AI systems; Data engineering; Natural language; Reasoning", "domainList" : [ "generative-ai", "large-language-models", "ai-systems", "data-engineering", "natural-language", "reasoning" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "AI systems", "Data engineering", "Natural language", "Reasoning" ], "toolProficiency" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency in English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotator to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $13 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" : "Data Annotator at Innodata Inc.. Skills: Data Annotation, AI Development, LLM Training. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T07:57:51.692", "createdAt" : "2026-06-14T07:57:51.692", "lastUpdated" : "2026-06-15T09:50:36.888", "ingestTimestamp" : "2026-06-14T07:57:51.692", "mongoId" : "6a2c6ace74d8ee00a090e158", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Natural language processing", "Data modeling", "Data engineering", "AI development", "Data Annotation", "AI Development", "LLM Training", "Data annotation", "Data labeling", "Content evaluation", "Data transformation", "Data review", "Data gathering", "Data compilation", "Generative AI", "Large Language Models", "AI systems", "Natural language", "Reasoning", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 563.23157, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e15b", "title" : "Data Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 480000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Annotator in India, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T09:17:30.177", "fingerprint" : "933264fcf3b9b0510c8d9fffde21679e6dd178b2fa3065b3960ac09255e5a639", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232190009", "externalId" : "4232190009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "AI, Generative AI, Large Language Models, Machine Learning", "hardSkillsList" : [ "Data annotation", "Content labeling", "Data transformation", "Content evaluation", "Prompt creation", "Text summarization", "Transcription", "Translation", "Data gathering" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Content labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Transcription", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" } ], "majorSkills" : "Data annotation, AI development, LLM training", "majorSkillsList" : [ "Data annotation", "AI development", "LLM training" ], "coreResponsibilities" : "Rate AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Generate labels for concepts, Create training data, Review data for product features, Label model outputs, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses from AI, Rewrite existing text, Produce text summaries, Convert audio to text, Translate languages, Gather and compile data", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Data Annotator at Innodata Inc.. Skills: Data annotation, AI development, LLM training. Rate AI model performance. Label content elements", "postedDate" : "2026-06-14T02:47:49.071", "createdAt" : "2026-06-14T02:47:49.071", "lastUpdated" : "2026-06-15T09:17:30.177", "ingestTimestamp" : "2026-06-14T02:47:49.071", "mongoId" : "6a2c6ace74d8ee00a090e15b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data annotation", "Content labeling", "Data transformation", "Content evaluation", "Prompt creation", "Text summarization", "Transcription", "Translation", "Data gathering", "AI development", "LLM training", "Generative AI", "Large Language Models" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 548.3055, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e157", "title" : "Data Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 400000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Annotator in India, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T09:32:57.004", "fingerprint" : "59a0e1b7fb106598bc6b2798b593af4e8dac15b77a499ece4ca1f8921f8723c9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4231736009", "externalId" : "4231736009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "AI, Generative AI, Large Language Models, Machine Learning", "hardSkillsList" : [ "Data annotation", "Content labeling", "Data transformation", "Data gathering", "Data compilation", "Text summarization", "Speech to text", "Translation" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Content labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech to text", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" } ], "majorSkills" : "Data Annotation, AI Development, LLM Training", "majorSkillsList" : [ "Data Annotation", "AI Development", "LLM Training" ], "coreResponsibilities" : "Rate AI model performance, Assess AI model behavior, Label content elements, Assign predefined categories, Evaluate content quality, Evaluate content appropriateness, Generate labels for concepts, Generate labels for trends, Create training data, Apply data transformations, Modify images, Generate new text, Alter audio/video signals, Review data, Identify product feature function, Label model outputs, Identify content type, Order items, Rank items, Create prompts for AI, Generate responses from AI, Rewrite existing text, Preserve original meaning, Produce concise summaries, Convert audio to text, Convert language to text, Gather data, Compile data", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Data Annotator at Innodata Inc.. Skills: Data Annotation, AI Development, LLM Training. Rate AI model performance. Assess AI model behavior", "postedDate" : "2026-06-14T01:44:26.636", "createdAt" : "2026-06-14T01:44:26.636", "lastUpdated" : "2026-06-15T09:32:57.004", "ingestTimestamp" : "2026-06-14T01:44:26.636", "mongoId" : "6a2c6ace74d8ee00a090e157", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data annotation", "Content labeling", "Data transformation", "Data gathering", "Data compilation", "Text summarization", "Speech to text", "Translation", "Data Annotation", "AI Development", "LLM Training", "Generative AI", "Large Language Models" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 544.715, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e135", "title" : "AI Annotation Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 35000.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level AI Annotation Specialists in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T21:25:40.257", "fingerprint" : "11337ac1370825ef83977315c3b15a22a59adfd7c158f493a190fdf7478820b6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232730009", "externalId" : "4232730009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "majorSkills" : "Data Annotation, AI Development, LLM", "majorSkillsList" : [ "Data Annotation", "AI Development", "LLM" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate content quality/appropriateness, Generate labels for concept understanding, Create training data by applying transformations, Review data to identify feature functionality, Label model outputs, Order or rank items based on criteria, Create prompts for AI systems, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert text from one language to another, Gather and compile data for AI models", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Annotation Specialist at Innodata Inc.. Skills: Data Annotation, AI Development, LLM. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T19:15:23.902", "createdAt" : "2026-06-14T19:15:23.902", "lastUpdated" : "2026-06-15T21:25:40.257", "ingestTimestamp" : "2026-06-14T19:15:23.902", "mongoId" : "6a2c6ace74d8ee00a090e135", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data Annotation", "AI Development", "LLM", "Generative AI", "Large Language Models" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 536.0775, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e15e", "title" : "Data Annotation Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 9.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T00:34:29.192", "fingerprint" : "f0037504820c4319c0dcd5849cdd4b980f6d0d88384743da6b213fee3b834e01", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232528009", "externalId" : "4232528009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "majorSkills" : "Data Annotation, AI Development, LLM", "majorSkillsList" : [ "Data Annotation", "AI Development", "LLM" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate content quality and/or appropriateness, Generate labels to advance understanding, Create additional training data, Apply transformations to data, Review data and identify product feature functionality, Label model outputs, Order or rank items, Create prompts or questions for AI, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert language from one to another, Gather and compile data", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Data Annotation Specialist at Innodata Inc.. Skills: Data Annotation, AI Development, LLM. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T19:09:07.533", "createdAt" : "2026-06-14T19:09:07.533", "lastUpdated" : "2026-06-16T00:34:29.192", "ingestTimestamp" : "2026-06-14T19:09:07.533", "mongoId" : "6a2c6ace74d8ee00a090e15e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 18720, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Data Annotation", "AI Development", "LLM", "Generative AI", "Large Language Models" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 535.801, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e15a", "title" : "Data Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 480000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Annotator in India, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T06:46:26.516", "fingerprint" : "ca9feb2deb00ae1cb491b3dae921b1d080fa94e66bc6163e8e13fecaafe908ea", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4235831009", "externalId" : "4235831009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "AI, Generative AI, Large Language Models, Machine Learning", "professionalSkills" : [ "Data annotation", "Content evaluation", "Data labeling", "Data transformation", "Content review", "Data gathering", "Data compilation", "Text summarization", "Speech to text", "Translation", "Prompt creation", "Response generation", "Text rewriting" ], "hardSkillsList" : [ "Language intricacies", "Reasoning" ], "hardSkills" : [ { "name" : "Language intricacies", "level" : "intermediate" }, { "name" : "Reasoning", "level" : "intermediate" } ], "majorSkills" : "Data annotation, AI development", "majorSkillsList" : [ "Data annotation", "AI development" ], "coreResponsibilities" : "Rate AI model performance, Assess AI model behavior, Label content elements, Assign predefined categories, Evaluate content quality, Evaluate content appropriateness, Generate labels for concepts, Generate labels for trends, Create training data, Apply data transformations, Modify images, Generate new text, Alter audio/video signals, Review data for product features, Identify product feature function, Label model outputs, Identify content type, Order items by criteria, Rank items by criteria, Create prompts for AI, Generate responses from AI, Rewrite existing text, Preserve original meaning, Improve text clarity, Improve text style, Produce text summaries, Produce data summaries, Convert audio to text, Translate content, Gather digital content, Compile digital content", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $13 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" : "Data Annotator at Innodata Inc.. Skills: Data annotation, AI development. Rate AI model performance. Assess AI model behavior", "postedDate" : "2026-06-13T20:43:22.195", "createdAt" : "2026-06-13T20:43:22.195", "lastUpdated" : "2026-06-15T06:46:26.516", "ingestTimestamp" : "2026-06-13T20:43:22.195", "mongoId" : "6a2c6ace74d8ee00a090e15a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Language intricacies", "Reasoning", "Data annotation", "AI development", "Content evaluation", "Data labeling", "Data transformation", "Content review", "Data gathering", "Data compilation", "Text summarization", "Speech to text", "Translation", "Prompt creation", "Response generation", "Text rewriting", "Generative AI", "Large Language Models" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 530.68414, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca05474d8ee00a09a1e59", "title" : "Data Annotation Specialist", "company" : "Saronic Technologies", "industry" : "Software", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Data Annotation Specialist in Austin, United States, adjusted for the technology industry and contract employment type." }, "location" : "Austin, TX", "locations" : [ "Austin, TX" ], "timestamp" : "2026-06-16T02:28:21.795", "fingerprint" : "86d6befb0b593bae139fe66e3e03918ebb395121850177663e1c5ae2e77a5e83", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/saronic/f418b71d-d2e1-49e3-9a54-b41a2c5f5e97/application", "externalId" : "f418b71d-d2e1-49e3-9a54-b41a2c5f5e97", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "CONTRACT", "technicalSkills" : "Computer vision", "hardSkillsList" : [ "Data annotation", "Image annotation", "Video annotation", "Sensor data annotation", "Object identification", "Quality review", "Labeling guidelines" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Image annotation", "level" : "intermediate" }, { "name" : "Video annotation", "level" : "intermediate" }, { "name" : "Sensor data annotation", "level" : "intermediate" }, { "name" : "Object identification", "level" : "intermediate" }, { "name" : "Quality review", "level" : "intermediate" }, { "name" : "Labeling guidelines", "level" : "intermediate" } ], "majorSkills" : "Data annotation, Computer vision", "majorSkillsList" : [ "Data annotation", "Computer vision" ], "coreResponsibilities" : "Annotate visual datasets, Review visual datasets, Train machine-learning models, Evaluate machine-learning models, Annotate image data, Annotate video data, Annotate infrared data, Annotate sensor data, Identify vessels, Identify objects, Identify environmental features, Maintain accuracy, Maintain consistency, Maintain productivity, Apply labeling guidelines, Escalate unclear edge cases, Perform manual annotation, Review auto-labeled data, Support priority project deadlines", "teamCollaboration" : "Support technical team", "domainKnowledge" : "Maritime autonomy; Maritime perception", "domainList" : [ "maritime-autonomy", "maritime-perception" ], "domainSpecificKnowledge" : [ "Maritime autonomy", "Maritime perception" ], "toolProficiency" : [ "Labelbox", "CVAT" ], "qualificationsBasic" : "Prior experience in computer vision data annotation, Familiarity with annotation tools, Experience with annotation types, Visual pattern recognition, Spatial reasoning, Attention to detail, Comfortable performing repetitive work, Able to adapt to changing priorities, Communication skills, Willingness to ask questions, Willingness to accept feedback, Willingness to collaborate with the team", "qualificationsPreferred" : "Basic understanding of maritime environments, Basic understanding of autonomous systems, Basic understanding of robotics, Basic understanding of defense technology", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. JOB OVERVIEW We are seeking a Data Annotation Specialist to annotate and review visual datasets used to train and evaluate machine-learning models for maritime perception and autonomy. This role supports our software, perception, and autonomy teams by ensuring labeled data is accurate, consistent, and useful for model development. The ideal candidate has prior computer vision annotation experience, strong visual attention to detail, and the ability to maintain speed and accuracy through repetitive labeling work. This person should be comfortable following detailed instructions, adapting as labeling rules change, and supporting a fast-moving technical team. This is an on-site, full-time contract role with an intended path to full-time conversion based on performance and business needs. Upon conversion, the employee would be eligible for Saronic’s standard full-time benefits. This position reports to the Data Annotation Manager. RESPONSIBILITIES - Annotate and review large volumes of image, video, infrared, and other sensor data using computer vision labeling methods. - Identify vessels, objects, environmental features, and other elements relevant to maritime autonomy. - Maintain accuracy, consistency, and productivity across repetitive, detail-heavy datasets. - Apply evolving labeling guidelines and escalate unclear edge cases when needed. - Perform both manual annotation work and quality review of auto-labeled data as needed. - Willingness to support priority project deadlines when needed. QUALIFICATIONS - Prior experience in computer vision data annotation or labeling. - Familiarity with annotation tools such as Labelbox, CVAT, or similar - Experience with annotation types such as segmentation masks, bounding boxes, key points, object tracking, or classification. - Strong visual pattern recognition, spatial reasoning, and attention to detail. - Comfortable performing repetitive, process-driven work for extended periods while maintaining quality. - Able to adapt to changing project priorities, labeling rules, and quality standards in a fast-paced environment. - Strong communication skills and willingness to ask questions, accept feedback, and collaborate with the team. - Basic understanding of maritime environments, autonomous systems, robotics, or defense technology is a plus. Saronic CCPA Notice for Candidates and California Employees https://saronic-assets-public.s3.us-east-2.amazonaws.com/Saronic%20CCPA%20Notice%20for%20Candidates%20and%20California%20Employees.pdf If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Data Annotation Specialist at Saronic Technologies. Skills: Data annotation, Computer vision. Annotate visual datasets. Review visual datasets", "createdAt" : "2026-06-14T18:14:23.473", "lastUpdated" : "2026-06-16T02:28:21.795", "ingestTimestamp" : "2026-06-14T18:14:23.473", "mongoId" : "6a2ca05474d8ee00a09a1e59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Image annotation", "Video annotation", "Sensor data annotation", "Object identification", "Quality review", "Labeling guidelines", "Computer vision", "Maritime autonomy", "Maritime perception", "Labelbox", "CVAT" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 529.2783, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176d974d8ee00a0c1b207", "title" : "FR Annotations Auditor, Community Feedback Annotation Team", "company" : "Amazon Development Centre (South Africa) (Proprietary) Limited", "industry" : "Customer Service, Fulfillment Center, customer service", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level FR Annotations Auditor in Cape Town, South Africa, adjusted for the technology industry." }, "location" : "Cape Town, Western Cape, ZAF", "locations" : [ "Cape Town, Western Cape, ZAF" ], "timestamp" : "2026-06-14T23:44:09.190", "fingerprint" : "23b61d8fe82765bd396dca5d136e8b4124d462cba3d258301457870d6fe4bbfd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437932/apply", "externalId" : "5e2b007e-706f-45ee-933e-9d984b812554", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cape Town", "state" : "Western Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-33.9288301,18.4172197" } ], "locationText" : "Cape Town, Western Cape, South Africa", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "technicalSkills" : "MS Office, Natural Language Processing", "professionalSkills" : [ "Quality Assurance", "Data Integrity", "Linguistic expertise" ], "hardSkillsList" : [ "Annotation review", "Quality checks" ], "hardSkills" : [ { "name" : "Annotation review", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" } ], "majorSkills" : "Natural Language Processing, Quality Assurance", "majorSkillsList" : [ "Natural Language Processing", "Quality Assurance" ], "coreResponsibilities" : "Review annotations for consistency, Review annotations for accuracy, Review annotations for adherence to guidelines, Provide constructive feedback, Understand and annotate texts, Ensure accuracy of annotated data, Ensure integrity of annotated data, Perform regular quality checks, Identify inconsistencies, Address inconsistencies, Maintain data cleanliness, Evaluate labels, Evaluate annotated data", "domainKnowledge" : "Natural language processing; Generative AI models", "domainList" : [ "natural-language-processing", "generative-ai-models" ], "domainSpecificKnowledge" : [ "Natural language processing", "Generative AI models" ], "toolProficiency" : [ "MS Office" ], "problemSolvingSkills" : "Identify inconsistencies; Address inconsistencies", "specialRequirements" : "Verify ability to work lawfully in South Africa", "qualificationsBasic" : "Experience as Quality Specialist, Experience as Quality Analyst, Proficiency in MS Office, 6 to 9 months in Annotations role", "qualificationsPreferred" : "Fluent French and English, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing, Prior experience in linguistic annotation, Prior experience in data labeling", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our overall mission is simple: to be Earth’s most customer-centric company. We want Amazon to be the place where customers can find, discover, and buy anything online. Whatever our customers want, we will find the means to deliver it. With your help, Amazon will deliver world-class AI-generated experiences to our customers. We are seeking a dedicated, fluent French-speaking Auditor to join our Community Feedback Annotations team and contribute to the development and enhancement of advanced natural language processing models. As an Auditor, you will evaluate annotated datasets used to train and improve generative AI models. Your meticulous attention to detail and linguistic expertise will play a crucial role in ensuring the accuracy and effectiveness of our models. Key job responsibilities Quality Assurance Review and verify annotations made by fellow annotators for consistency, accuracy, and adherence to guidelines. Provide constructive feedback to maintain annotation quality. Domain Expertise Gain proficiency in understanding and annotating texts across various experiences and organizations, supporting the creation of specialized models. Data Integrity Ensure accuracy and integrity of annotated data through regular quality checks. Identify and address inconsistencies, maintaining a high standard of data cleanliness. A day in the life You will evaluate labels and annotated data for various projects across our organization. Some projects will run longer than others, but expect a variety of evaluation requests month to month. About the team Our team is passionate about human motivation and behavior and uses machine learning, classification algorithms, and scalable platform services to have a cross-org impact every day. We evaluate user research, customer experience knowledge, data, and cross-Amazon moderation expertise to ensure other teams think about customer trust. Basic Qualifications: - Experience as a Quality Specialist and/or Quality Analyst - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - 6 to 9 months in an Annotations role or similar - Not currently on attendance probation or any conduct warnings in the last 3 months Preferred Qualifications: - Speak, write, and read fluently in French and English with respect to complex technical instructions and concepts - Experience in machine learning, data mining, information retrieval, statistics or natural language processing - Prior experience in linguistic annotation, data labeling, or similar roles is a plus. Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae. 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" : "FR Annotations Auditor, Community Feedback Annotation Team at Amazon Development Centre (South Africa) (Proprietary) Limited. Skills: Natural Language Processing, Quality Assurance. Review annotations for consistency. Review annotations for accuracy", "postedDate" : "2026-06-13T06:14:47.562", "createdAt" : "2026-06-13T06:14:47.562", "lastUpdated" : "2026-06-14T23:44:09.190", "ingestTimestamp" : "2026-06-13T06:14:47.562", "mongoId" : "6a2176d974d8ee00a0c1b207", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437932/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Annotation review", "Quality checks", "Natural Language Processing", "Quality Assurance", "Data Integrity", "Linguistic expertise", "Natural language processing", "Generative AI models", "MS Office" ], "skillCount" : 9, "jobCategory" : "customer-service", "dataQualityScore" : 0.8888889, "_score" : 524.10144, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3056b3f292fd229cf2d4c2", "title" : "Speech Language Pathologist", "company" : "BAYADA Home Health Care", "industry" : "Healthcare", "salary" : { "min" : 80.0, "max" : 90.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field", "Home Health - Field" ], "timestamp" : "2026-06-16T08:33:00.677", "fingerprint" : "e0013674a46e98928bcdcc605ea69ae24a8b7824869e208bf872e8f0fca38c3e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bayada/jobs/8592627002", "externalId" : "8592627002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "experienceMinYears" : 1, "rawDescription" : "Make an Impact as a Speech Language Pathologist at BAYADA Home Health Care. BAYADA Home Health Care is currently seeking a Speech Language Pathologist (SLP) to join our Big Island Visits team. SLP’s work with clients in their home, craft treatment plans, and apply innovative techniques to help them reach their goals. You will be an integral member of a multi-disciplinary health care team that provides skilled nursing and rehabilitative care to clients, affording them the opportunity to remain at home. We believe our clients and their families deserve the highest quality home health care delivered with compassion, excellence, and reliability. Delivering this care is our highest priority and greatest joy. We want you to join us! How You’ll Make an Impact: Perform thorough evaluations to assess, diagnose and provide therapeutic interventions for clients who are experiencing, speech, language, communication or swallowing difficulties Develop a treatment plan based on the evaluation, physician’s orders and recommended goals Continually assess and revise the speech therapy care plan and participate with BAYADA Clinicians in the multidisciplinary care plan, as appropriate Educate and instruct patients, family members, or other patient representatives, in rehabilitative care and activities necessary to promote the client's health, safety and independent living Accurately document observations, interventions and evaluations pertaining to patient care management and services provided, utilizing a state-of-the-art touch pad tablet Compensation referral bonuses Paid Time Off: PTO (paid time off) and paid holidays Reimbursements: Mileage reimbursement or schedule-specific benefits Life Insurance: Employer-paid life insurance Wellness: Employee Assistance Program (EAP) Qualifications for a BAYADA Speech Language Pathologist: A current license as a Speech Language Pathologist in Hawaii One year experience as a Speech Language Pathologist Thrive in a Culture That Cares: We put your well-being first, fostering an inclusive and collaborative environment of belonging where you can achieve your goals. Don't just take our word for it: Voted by Star-Advertiser Readers as the #1 Non-Medical Home Care Provider   Forbes Top 10 Employer in Hawaii, 3 years in a row  Newsweek's Greatest Workplace for Overall, Women, Parents & Families, Diversity Forbes Best Employers for Veterans Be part of a caring, professional team that is instrumental in providing the highest quality care while developing your career with an industry leader. Apply now for immediate consideration. As a BAYADA Speech Language Pathologist you will be prepared to succeed. Paid training from day one in the office, in the home, and online to make sure you feel confident. Clinical support whenever you need it around the clock. BAYADA recognizes and rewards our SLPs who set and maintain the highest standards of excellence. We can’t wait to meet you! Locations We’re Hiring: Hilo, Hawaii Type: Per Diem Base Pay, depending upon qualifications and subject to negotiation: $80-$90 per point As an accredited, regulated, certified, and licensed home health care provider, BAYADA complies with all state/local mandates. BAYADA is celebrating 50 years of compassion, excellence, and reliability. Learn more about our 50th anniversary celebration and how you can join in here. BAYADA Home Health Care, Inc., and its associated entities and joint venture partners, are Equal Opportunity Employers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, age, disability, pregnancy or maternity, sexual orientation, gender identity, citizenship status, military status, or any other similarly protected status in accordance with federal, state and local laws. Hence, we strongly encourage applications from people with these identities or who are members of other marginalized communities.", "summaryDescription" : "Speech Language Pathologist at BAYADA Home Health Care", "postedDate" : "2026-06-15T23:19:47.007", "createdAt" : "2026-06-15T23:19:47.007", "lastUpdated" : "2026-06-16T08:33:00.677", "ingestTimestamp" : "2026-06-15T23:19:47.007", "mongoId" : "6a3056b3f292fd229cf2d4c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 90, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 516.29926, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e133", "title" : "AI Annotation Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 35000.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level AI Annotation Specialist in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T06:46:01.277", "fingerprint" : "20e504cbb3175f7c029119e0ec046554440f591ae739a4645f2e1750b04d0786", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4234805009", "externalId" : "4234805009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "AI, Machine learning, Generative AI, Large language models, LLMs", "professionalSkills" : [ "Data engineering", "Evaluation frameworks", "Human expertise" ], "hardSkillsList" : [ "Data annotation", "Content labeling", "Data transformation", "Data review", "Data generation", "Prompt creation", "Response generation", "Text summarization", "Speech to text", "Translation", "Data gathering", "Data compilation" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Content labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data review", "level" : "intermediate" }, { "name" : "Data generation", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Response generation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech to text", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" } ], "majorSkills" : "AI Annotation, LLM Development", "majorSkillsList" : [ "AI Annotation", "LLM Development" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories/labels, Evaluate content quality/appropriateness, Generate labels for concepts, Create training data for ML models, Apply transformations to data, Review data for product feature function, Label model outputs, Identify branded content, Order or rank items, Create prompts for AI systems, Evaluate content relevancy, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert content between languages, Gather and compile data for AI models", "domainKnowledge" : "Generative AI; Large language models; LLMs", "domainList" : [ "generative-ai", "large-language-models", "llms" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "LLMs" ], "outcomesObjectives" : "Build AI systems that can be trusted at scale; Advance the responsible advancement of artificial intelligence", "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious AI Annotation Specialists to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Annotation Specialist at Innodata Inc.. Skills: AI Annotation, LLM Development. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T09:31:18.177", "createdAt" : "2026-06-14T09:31:18.177", "lastUpdated" : "2026-06-15T06:46:01.277", "ingestTimestamp" : "2026-06-14T09:31:18.177", "mongoId" : "6a2c6ace74d8ee00a090e133", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Content labeling", "Data transformation", "Data review", "Data generation", "Prompt creation", "Response generation", "Text summarization", "Speech to text", "Translation", "Data gathering", "Data compilation", "AI Annotation", "LLM Development", "Data engineering", "Evaluation frameworks", "Human expertise", "Generative AI", "Large language models", "LLMs" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 510.65085, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e168", "title" : "Generative AI Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 9.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T08:39:22.482", "fingerprint" : "f43ea4a1f6b8015f6bd1d9c192b9cd07d5458d4fe72a888af93d6874ae28bf7a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4234820009", "externalId" : "4234820009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "Generative AI, Large Language Models, Machine Learning", "hardSkillsList" : [ "Data labeling", "Data transformation", "Content evaluation", "Prompt generation", "Text summarization", "Speech to text", "Translation", "Data gathering" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Prompt generation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech to text", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLM, Data annotation", "majorSkillsList" : [ "Generative AI", "LLM", "Data annotation" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate content quality/appropriateness, Generate labels for concept understanding, Create training data by applying transformations, Review data and identify product feature function, Label model outputs, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert language from one to another, Gather and compile data", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Annotator to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Generative AI Annotator at Innodata Inc.. Skills: Generative AI, LLM, Data annotation. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T09:31:05.906", "createdAt" : "2026-06-14T09:31:05.906", "lastUpdated" : "2026-06-15T08:39:22.482", "ingestTimestamp" : "2026-06-14T09:31:05.906", "mongoId" : "6a2c6ace74d8ee00a090e168", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 18720, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Data transformation", "Content evaluation", "Prompt generation", "Text summarization", "Speech to text", "Translation", "Data gathering", "Generative AI", "LLM", "Data annotation", "Large Language Models" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 510.17712, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e15c", "title" : "Data Annotation Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Annotation Specialist in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T05:05:47.945", "fingerprint" : "6ae7284a99bb129de52256554a1397590a9b634cdf46c243c80a2b3bfef16778", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232498009", "externalId" : "4232498009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "AI, Generative AI, Large Language Models, Machine Learning", "hardSkillsList" : [ "Data annotation", "Content evaluation", "Data transformation", "Text summarization", "Speech to text", "Translation", "Data gathering", "Prompt creation", "Content relevance evaluation" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech to text", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Content relevance evaluation", "level" : "intermediate" } ], "majorSkills" : "Data annotation, AI development, LLM training", "majorSkillsList" : [ "Data annotation", "AI development", "LLM training" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories/labels, Evaluate content quality/appropriateness, Generate labels for concepts/trends, Create training data via transformations, Review data for product feature function, Label model outputs, Order/rank items by criteria, Create prompts for AI systems, Evaluate content relevance, Generate responses from AI systems, Rewrite text preserving meaning, Produce concise summaries, Convert audio to text, Convert language between languages, Gather and compile data", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotation Specialists to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Data Annotation Specialist at Innodata Inc.. Skills: Data annotation, AI development, LLM training. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T07:55:31.054", "createdAt" : "2026-06-14T07:55:31.054", "lastUpdated" : "2026-06-15T05:05:47.945", "ingestTimestamp" : "2026-06-14T07:55:31.054", "mongoId" : "6a2c6ace74d8ee00a090e15c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Content evaluation", "Data transformation", "Text summarization", "Speech to text", "Translation", "Data gathering", "Prompt creation", "Content relevance evaluation", "AI development", "LLM training", "Generative AI", "Large Language Models" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 505.4723, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a50f292fd229cf4f1df", "title" : "AI Native ERP Consultant", "company" : "Pine Services Group", "industry" : "Implementation", "salary" : { "min" : 100000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "CPA" ], "timestamp" : "2026-06-16T12:47:55.223", "fingerprint" : "e6c78624a95cc07acb9d8d7cb084f79170ca08e972cd66c7c59bb3ef842f3177", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/pine-services/a7ab566f-a2fe-4d0f-a014-ca092df26967/apply", "externalId" : "a7ab566f-a2fe-4d0f-a014-ca092df26967", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Mid", "technicalSkills" : "NetSuite, Sage Intacct, QuickBooks", "professionalSkills" : [ "System configurations", "Finance workflows" ], "hardSkillsList" : [ "Accounting", "Finance" ], "hardSkills" : [ { "name" : "Accounting", "level" : "intermediate" }, { "name" : "Finance", "level" : "intermediate" } ], "majorSkills" : "ERP implementation, Finance systems", "majorSkillsList" : [ "ERP implementation", "Finance systems" ], "coreResponsibilities" : "Support Rillet ERP implementations, Assist with requirements gathering, Translate accounting and finance workflows into system configurations, Configure finance system functionality, Test finance system functionality, Support client training, Support documentation, Support post-implementation optimization, Contribute to development of internal implementation playbooks, Contribute to development of best practices, Assist with client discovery, Assist with project scoping, Assist with sales handoffs, Expand knowledge of finance systems, Expand knowledge of automation tools, Expand knowledge of AI-enabled accounting technologies", "teamCollaboration" : "Work with Raiz’s Lead Consultant; Work with senior consultants; Work with Controllers; Work with CFOs; Work with finance teams", "projectManagementSkills" : [ "Project scoping" ], "domainKnowledge" : "General ledger; Revenue accounting; Consolidations; U. S. GAAP; Month-end close process; ASC 606; SaaS revenue recognition", "domainList" : [ "general-ledger", "revenue-accounting", "consolidations", "u-s-gaap", "month-end-close-process", "asc-606", "saas-revenue-recognition" ], "domainSpecificKnowledge" : [ "General ledger", "Revenue accounting", "Consolidations", "U. S. GAAP", "Month-end close process", "ASC 606", "SaaS revenue recognition" ], "toolProficiency" : [ "Rillet" ], "communicationSkills" : "Client training", "documentationSkills" : "Client documentation", "continuousLearning" : "Expand knowledge of finance systems; Expand knowledge of automation tools; Expand knowledge of AI-enabled accounting technologies", "problemSolvingSkills" : "Translate accounting requirements into system configurations", "outcomesObjectives" : "Deliver successful ERP deployments; Help clients improve financial operations", "qualificationsBasic" : "2–4 years of accounting or finance experience, Understanding of U. S. GAAP, Month-end close process knowledge, Ability to translate accounting requirements into system configurations", "qualificationsPreferred" : "CPA preferred, Accounting credentials valued, Prior consulting experience, Prior implementation experience, Prior client-facing experience, Familiarity with ASC 606, SaaS revenue recognition familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description One of Pine Services Group’s operating companies, Raiz, is seeking an ERP & Accounting Systems Consultant to support the implementation of modern, AI-native finance platforms for growing businesses. This role is ideal for an accounting or finance professional interested in the intersection of accounting, systems, and emerging technologies. You will work closely with Raiz’s Lead Consultant to support client engagements, configure finance systems, and help deliver successful implementations of Rillet, an AI-native ERP platform. This position offers the opportunity to develop consulting experience, deepen technical and accounting expertise, and contribute to building a modern finance systems practice. ## Why This Role This role is well suited for an accounting professional who enjoys working with systems and technology in addition to traditional accounting work. If you’ve found yourself drawn to improving processes, configuring software, or helping teams work more efficiently in their finance systems, this position offers the opportunity to build those skills in a consulting environment. ## Role Summary In this role, you will support the implementation of modern finance systems for client organizations, working alongside senior consultants to deliver successful ERP deployments and help clients improve their financial operations. ## Key Responsibilities Support Rillet ERP implementations from kickoff through go-live alongside the Lead Consultant. Assist with requirements gathering and translate accounting and finance workflows into system configurations. Configure and test finance system functionality to ensure accuracy and scalability. Support client training, documentation, and post-implementation optimization. Contribute to the development of internal implementation playbooks and best practices. Assist with client discovery, project scoping, and sales handoffs as you gain exposure to the full engagement lifecycle. Continuously expand knowledge of finance systems, automation tools, and emerging AI-enabled accounting technologies. ## What We're Looking For CPA preferred (active or inactive). Strong accounting credentials are valued. 2–4 years of accounting or finance experience, including public accounting or industry roles in general ledger, revenue accounting, or consolidations. Strong understanding of U.S. GAAP and the month-end close process. Experience with ERP or accounting platforms such as NetSuite, Sage Intacct, or QuickBooks. Interest in modern finance technology, automation, and AI-enabled accounting platforms. Ability to translate accounting requirements into system configurations and workflows. Strong communication skills and the ability to work effectively with Controllers, CFOs, and finance teams. Collaborative, self-directed work style with strong attention to detail. Nice to Have Prior consulting, implementation, or client-facing experience. Familiarity with ASC 606 and SaaS revenue recognition.", "summaryDescription" : "AI Native ERP Consultant at Pine Services Group. Skills: ERP implementation, Finance systems. Support Rillet ERP implementations. Assist with requirements gathering", "postedDate" : "2026-06-15T14:06:02.771", "createdAt" : "2026-06-15T14:06:02.771", "lastUpdated" : "2026-06-16T12:47:55.223", "ingestTimestamp" : "2026-06-16T03:25:16.925", "mongoId" : "6a305a50f292fd229cf4f1df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 120000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Accounting", "Finance", "ERP implementation", "Finance systems", "System configurations", "Finance workflows", "Project scoping", "General ledger", "Revenue accounting", "Consolidations", "U. S. GAAP", "Month-end close process", "ASC 606", "SaaS revenue recognition", "CPA", "Rillet" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 502.48724, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ace74d8ee00a090e166", "title" : "Generative AI Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 9.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T10:26:41.493", "fingerprint" : "f21df527bfa9586cbe0b0249f3ce5fb5e9176e8c153334ea73f4c2d0a96e4ee7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4234815009", "externalId" : "4234815009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "Generative AI, Large Language Models, AI models, Machine learning models", "professionalSkills" : [ "Data engineering" ], "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Text summarization", "Speech to text", "Translation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech to text", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLM development", "majorSkillsList" : [ "Generative AI", "LLM development" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Generate labels for concepts, Create training data, Modify images, Generate new text, Alter audio/video signals, Review data for product features, Label model outputs, Identify content types, Order or rank items, Create prompts for AI, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce text summaries, Convert audio to text, Translate content, Gather and compile data", "teamCollaboration" : "Global contributor community; SME on Demand program", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Annotator to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Generative AI Annotator at Innodata Inc.. Skills: Generative AI, LLM development. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T09:25:50.192", "createdAt" : "2026-06-14T09:25:50.192", "lastUpdated" : "2026-06-15T10:26:41.493", "ingestTimestamp" : "2026-06-14T09:25:50.192", "mongoId" : "6a2c6ace74d8ee00a090e166", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 18720, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Text summarization", "Speech to text", "Translation", "Generative AI", "LLM development", "Data engineering", "Large Language Models" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 501.14447, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e165", "title" : "Generative AI Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level Generative AI Annotator in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T13:05:49.125", "fingerprint" : "f3e3bf60d2ecf78e8f14b4d52e38f18d3cdd8c18696b26a42bfeb3df6fd2534a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4234813009", "externalId" : "4234813009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "Generative AI, Large language models, Machine learning models, AI algorithms, Machine learning", "professionalSkills" : [ "Data engineering", "Evaluation frameworks", "Human expertise", "Data quality", "Outcome delivery" ], "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Data review", "Data ordering", "Prompt creation", "Content relevance", "Response generation", "Text rewriting", "Summarization", "Transcription", "Translation", "Data gathering", "Data compilation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data review", "level" : "intermediate" }, { "name" : "Data ordering", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Content relevance", "level" : "intermediate" }, { "name" : "Response generation", "level" : "intermediate" }, { "name" : "Text rewriting", "level" : "intermediate" }, { "name" : "Summarization", "level" : "intermediate" }, { "name" : "Transcription", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLM annotation, Data labeling", "majorSkillsList" : [ "Generative AI", "LLM annotation", "Data labeling" ], "coreResponsibilities" : "Rate AI model performance, Assess AI algorithm performance, Label content elements, Assign predefined categories, Evaluate content quality, Evaluate content appropriateness, Generate labels, Create training data, Apply data transformations, Modify images, Generate new text, Alter audio/video signals, Review data, Identify product feature function, Label model outputs, Identify content type, Order items, Rank items, Create prompts, Generate responses, Rewrite existing text, Preserve original meaning, Produce concise summaries, Convert audio to text, Convert text to another language, Gather data, Compile data", "domainKnowledge" : "Generative AI; Large language models; AI systems", "domainList" : [ "generative-ai", "large-language-models", "ai-systems" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "AI systems" ], "outcomesObjectives" : "Build AI systems at scale; Deliver highest quality data; Deliver outstanding outcomes", "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency (C1/C2) in English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Annotator to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 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" : "Generative AI Annotator at Innodata Inc.. Skills: Generative AI, LLM annotation, Data labeling. Rate AI model performance. Assess AI algorithm performance", "postedDate" : "2026-06-14T03:34:55.088", "createdAt" : "2026-06-14T03:34:55.088", "lastUpdated" : "2026-06-15T13:05:49.125", "ingestTimestamp" : "2026-06-14T03:34:55.088", "mongoId" : "6a2c6ace74d8ee00a090e165", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Content evaluation", "Data transformation", "Data review", "Data ordering", "Prompt creation", "Content relevance", "Response generation", "Text rewriting", "Summarization", "Transcription", "Translation", "Data gathering", "Data compilation", "Generative AI", "LLM annotation", "Data engineering", "Evaluation frameworks", "Human expertise", "Data quality", "Outcome delivery", "Large language models", "AI systems" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 493.8726, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e153", "title" : "Data AI Annotator", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Data AI Annotator in the US, adjusted for remote work and the technology industry." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T09:02:51.954", "fingerprint" : "f28a631641bd897018ea514eeb1e755b97e8bb9aaffee61813c50eedd793835e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266784009", "externalId" : "4266784009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Generative AI, Large Language Models, Machine Learning", "professionalSkills" : [ "Data engineering", "AI development" ], "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Prompt creation", "Text summarization", "Translation", "Data gathering", "Data compilation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLM development, Data annotation", "majorSkillsList" : [ "Generative AI", "LLM development", "Data annotation" ], "coreResponsibilities" : "Rate AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Generate labels for concepts, Create training data, Review data for product features, Label model outputs, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert audio to text, Translate content, Gather and compile data", "domainKnowledge" : "Artificial Intelligence; Large Language Models", "domainList" : [ "artificial-intelligence", "large-language-models" ], "domainSpecificKnowledge" : [ "Artificial Intelligence", "Large Language Models" ], "qualificationsBasic" : "Bachelor's degree or higher, Professional or Expert level proficiency in English", "qualificationsPreferred" : "Advanced degrees strongly preferred, Master's or PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Data AI Annotator at Innodata Inc.. Skills: Generative AI, LLM development, Data annotation. Rate AI model performance. Label content elements", "postedDate" : "2026-06-14T02:56:15.234", "createdAt" : "2026-06-14T02:56:15.234", "lastUpdated" : "2026-06-15T09:02:51.954", "ingestTimestamp" : "2026-06-14T02:56:15.234", "mongoId" : "6a2c6ace74d8ee00a090e153", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Content evaluation", "Data transformation", "Prompt creation", "Text summarization", "Translation", "Data gathering", "Data compilation", "Generative AI", "LLM development", "Data annotation", "Data engineering", "AI development", "Artificial Intelligence", "Large Language Models" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 492.5892, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a4bf292fd229c03a394", "title" : "Senior Mobile Engineer (React Native)", "company" : "Timeleft", "industry" : "Technology", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Mobile Engineer (React Native) in Europe, adjusted for seniority and remote work." }, "location" : "Remote - Europe", "locations" : [ "Remote - Europe" ], "timestamp" : "2026-06-16T09:31:45.902", "fingerprint" : "06db72a3a067310a8bc4d27718087ec88ffd8daae3806e2040ed020b34d8c088", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/timeleft/jobs/4872943101", "externalId" : "4872943101", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "React Native, Expo, TypeScript, IOS, Android, Web, NestJS, RESTful APIs, Git", "professionalSkills" : [ "Technical scoping", "Feature development", "Code quality", "Automated testing", "Component documentation", "E2E test coverage", "Feature flags", "Analytics", "Experimentation workflows", "Architectural decisions", "Technical direction", "PR reviews", "Requirement refinement", "CI/CD", "Tooling", "Platform improvements", "Performance optimization", "State management", "Data fetching", "Caching patterns" ], "hardSkillsList" : [ "Mobile release workflows", "App store distribution", "RESTful APIs", "Git workflows", "Debugging", "Monitoring" ], "softSkillsList" : [ "Ownership mindset", "Communication skills" ], "hardSkills" : [ { "name" : "Mobile release workflows", "level" : "intermediate" }, { "name" : "App store distribution", "level" : "intermediate" }, { "name" : "RESTful APIs", "level" : "intermediate" }, { "name" : "Git workflows", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mindset" }, { "name" : "Communication skills" } ], "majorSkills" : "React Native, Mobile Development, Cross-platform, AI Coding Tools", "majorSkillsList" : [ "React Native", "Mobile Development", "Cross-platform", "AI Coding Tools" ], "coreResponsibilities" : "Own features end-to-end, Technical scoping, Feature implementation, Feature testing, Feature release, Build performant UI components, Build accessible UI components, Leverage AI coding tools, Accelerate development, Maintain high code quality, Ensure features are instrumented, Ensure features are observable, Debug production issues, Contribute to automated testing, Contribute to component documentation, Contribute to E2E test coverage, Work with feature flags, Work with analytics, Work with experimentation workflows, Contribute to architectural decisions, Contribute to technical direction, Review PRs thoroughly, Provide constructive feedback, Provide actionable feedback, Collaborate with product, Collaborate with design, Refine requirements, Propose better solutions, Contribute to CI/CD, Contribute to tooling, Contribute to platform improvements", "teamCollaboration" : "Cross-functional teams; Product teams; Design teams; QA teams; Backend teams; Mobile engineers", "projectManagementSkills" : [ "Technical scoping", "Feature ownership", "Estimate complexity", "Flag risks" ], "domainKnowledge" : "State management patterns; Data fetching patterns; Caching patterns; React component architecture; Mobile release workflows; App store distribution; RESTful APIs; Git workflows", "domainList" : [ "state-management-patterns", "data-fetching-patterns", "caching-patterns", "react-component-architecture", "mobile-release-workflows", "app-store-distribution", "restful-apis", "git-workflows" ], "domainSpecificKnowledge" : [ "State management patterns", "Data fetching patterns", "Caching patterns", "React component architecture", "Mobile release workflows", "App store distribution", "RESTful APIs", "Git workflows" ], "toolProficiency" : [ "Expo", "Git", "Cursor", "Claude", "Copilot" ], "communicationSkills" : "Constructive feedback; Actionable feedback", "documentationSkills" : "Component documentation", "continuousLearning" : "AI-assisted workflow", "innovationCreativity" : "Propose better solutions", "problemSolvingSkills" : "Debugging production issues; Troubleshooting", "outcomesObjectives" : "Deliver first small features; Deliver bug fixes; Ship user-facing features; Own a feature end-to-end", "qualificationsBasic" : "4+ years software engineering experience, 2+ years React Native mobile development, Production apps shipped to App Store/Google Play, Experience in cross-functional team, Experience with AI coding tools, Fluency in English, Professional experience with React Native, TypeScript experience, Cross-platform development experience, Understanding of state management, Understanding of data fetching, Understanding of caching patterns, Performance optimization, React component architecture best practices, Mobile release workflows experience, App store distribution experience, RESTful APIs experience, Git workflows experience, Debugging skills, Monitoring skills, Working with AI coding tools", "qualificationsPreferred" : "Prompt engineering experience, AI-assisted workflows experience, CI/CD pipelines experience, Real-time features experience, Experience with international user base apps", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "⌘ About Timeleft Timeleft is a social app that brings strangers together for IRL events. Every week, we match people into groups of 6 across 200+ cities in 52 countries. We're a fast-growing B2C subscription business. What you build will be used by 150,000+ people every week — discovering their match, chatting with their group, finding the restaurant, and sharing how their evening went. Features ship weekly, your code goes live fast, and you see the impact immediately. ⌘ Role Overview We are looking for a Senior Mobile Engineer to join the App team and help build the next generation of the Timeleft experience. Our product is a React Native + Expo application running on iOS, Android, and Web, backed by a NestJS API. You will work alongside experienced mobile engineers and collaborate closely with product, design, QA, and backend teams. You'll own features end-to-end — from technical scoping through implementation, testing, and release — and contribute to the architecture and quality of a codebase serving users across 40+ cities worldwide. This is a high-impact role where your code ships weekly and directly affects how people connect. We are an AI-first engineering team that uses AI tools to accelerate delivery while maintaining strong engineering standards. You'll be expected to use AI coding tools as part of your daily workflow to work effectively with modern development tooling and workflows. ⌘ Key Responsibilities Feature Development Own features end-to-end: technical scoping, implementation, testing, and release Build performant, accessible UI components following the design system Leverage AI coding tools to accelerate development and maintain high code quality Ensure features are properly instrumented and observable post-release Comfortable debugging production issues using analytics, logs, and crash reporting tools Quality & Testing Contribute to automated testing and reusable component documentation Contribute to E2E test coverage and automated testing Comfortable working with feature flags, analytics, and experimentation workflows Architecture & Collaboration Contribute to architectural decisions and technical direction of the mobile codebase Review PRs thoroughly and provide constructive, actionable feedback Collaborate with product and design to refine requirements and propose better solutions Platform & Infrastructure Comfortable contributing to CI/CD, tooling, and platform-specific improvements when needed ⌘ Expected Outcomes Month 1: Onboarding & First Contributions Get familiar with the app's architecture, key flows, and team conventions Set up your development environment and AI-assisted workflow Deliver first small features and bug fixes to build confidence with the codebase Month 2: Independent Delivery Ship user-facing features with increasing independence Actively participate in PR reviews and contribute feedback Build working relationships with product, design, QA, and backend teams Month 3: Feature Ownership Own a feature end-to-end, from scoping to release Contribute to architectural discussions and propose improvements ⌘ Skills & Competencies Must have: Strong professional experience with React Native and TypeScript Cross-platform development experience (iOS, Android, Web) Strong understanding of state management, data fetching, and caching patterns Performance optimization and React component architecture best practices Experience with mobile release workflows and app store distribution Experience writing automated tests for mobile features Comfortable with RESTful APIs and Git workflows Strong debugging and monitoring skills Comfortable working with AI coding tools — or eager to make them a core part of your workflow Nice to have: Experience with prompt engineering or AI-assisted workflows beyond coding Experience with CI/CD pipelines Experience with real-time features (chat, live updates) Experience working on apps with international user base (multi-locale, timezone handling) Soft skills: Ownership mindset and strong communication skills Ability to balance speed with quality in a weekly release cadence Proactive about identifying problems and proposing solutions Eye for UI detail and ability to spot gaps in the UX flow Ability to scope work: break features into tasks, estimate complexity, and flag risks Comfortable iterating quickly on product ideas and adapting to evolving requirements ⌘ Required experience 4+ years of professional software engineering experience, with 2+ years building mobile applications in React Native Production apps shipped to App Store and Google Play Experience working in a cross-functional team (product, design, QA, backend) Experience or strong interest in working with AI coding tools (Cursor, Claude, Copilot, etc) Fluency in English ⌘ Recruitment Process Introduction interview (30 min): Talent Acquisition Lead, Maja. We'll talk about your experience, what you're looking for, and whether Timeleft feels like a good fit. Technical test (at home): You'll build a feature based on a mini PRD using our tech stack. We'll ask you to submit your code along with the full conversation history from your AI coding tools. Assignment review (1 hour): You'll walk through your build with Alejandra, our Team Lead. We'll discuss the trade-offs you made, how you used AI tools, and how you approached the problem. This is also where we get a sense of your ownership mindset, communication style, and how you collaborate. Final interview (30 min): You'll meet Misha, our Head of Engineering. We'll talk about team fit and how you'd contribute to the team and the product.", "summaryDescription" : "Senior Mobile Engineer (React Native) at Timeleft. Skills: React Native, Mobile Development, Cross-platform, AI Coding Tools. Own features end-to-end. Technical scoping", "postedDate" : "2026-06-16T01:20:44.825", "createdAt" : "2026-06-16T01:20:44.825", "lastUpdated" : "2026-06-16T09:31:45.902", "ingestTimestamp" : "2026-06-16T01:20:44.825", "mongoId" : "6a307a4bf292fd229c03a394", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Mobile release workflows", "App store distribution", "RESTful APIs", "Git workflows", "Debugging", "Monitoring", "Ownership mindset", "Communication skills", "React Native", "Mobile Development", "Cross-platform", "AI Coding Tools", "Technical scoping", "Feature development", "Code quality", "Automated testing", "Component documentation", "E2E test coverage", "Feature flags", "Analytics", "Experimentation workflows", "Architectural decisions", "Technical direction", "PR reviews", "Requirement refinement", "CI/CD", "Tooling", "Platform improvements", "Performance optimization", "State management", "Data fetching", "Caching patterns", "Feature ownership", "Estimate complexity", "Flag risks", "State management patterns", "Data fetching patterns", "React component architecture", "Expo", "Git", "Cursor", "Claude", "Copilot" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 492.57913, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305118f292fd229cef98b9", "title" : "Director of Cloud Native Applications", "industry" : "IT", "salary" : { "min" : 207000.0, "max" : 272000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada", "locations" : [ "Canada" ], "certifications" : [ "AWS certifications" ], "timestamp" : "2026-06-16T13:00:13.202", "fingerprint" : "8f7567d6268b2a41660841a8add415d1fcf1bb9d55784459900c2876b20368da", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/4fce5a87-0d6c-416a-8bb9-f9abbdfa2df7/apply", "externalId" : "4fce5a87-0d6c-416a-8bb9-f9abbdfa2df7", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Director", "technicalSkills" : "AWS, Cloud-native, AI, ML, DevOps, Infrastructure as Code, CI/CD", "professionalSkills" : [ "Strategic vision", "Engineering frameworks", "Architectural standards", "Delivery methodologies", "Organizational management", "Client engagements", "Solution design", "Business growth", "Thought leadership", "Stakeholder management", "Executive influence" ], "hardSkillsList" : [ "Cloud architecture", "Application design", "Software engineering", "DevOps", "Infrastructure as Code", "Automation", "CI/CD pipeline implementation", "AI-enabled solutions" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Application design", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "CI/CD pipeline implementation", "level" : "intermediate" }, { "name" : "AI-enabled solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Cloud Native Applications, AI, ML, DevOps, Cloud Architecture", "majorSkillsList" : [ "Cloud Native Applications", "AI", "ML", "DevOps", "Cloud Architecture" ], "coreResponsibilities" : "Define strategic vision for cloud-native development, Drive strategic vision for AI practices, Drive strategic vision for ML practices, Establish engineering frameworks, Improve engineering frameworks, Establish architectural standards, Improve architectural standards, Establish DevOps practices, Improve DevOps practices, Establish delivery methodologies, Improve delivery methodologies, Lead engineering organization, Mentor engineering organization, Scale engineering organization, Foster technical excellence, Foster innovation, Foster AI-first delivery, Oversee end-to-end delivery, Ensure high-quality outcomes, Ensure customer satisfaction, Ensure efficient execution, Partner with AWS, Leverage new services, Leverage co-innovation opportunities, Leverage partner ecosystems, Support business growth, Engage in pre-sales, Design solutions, Align technical capabilities, Champion innovation, Champion thought leadership, Represent organization in events, Represent organization in forums, Drive adoption of AI tools, Improve engineering productivity, Improve delivery speed, Improve solution quality", "teamCollaboration" : "Cross-functional teams; Client forums; Internal teams; Client projects", "projectManagementSkills" : [ "Delivery methodologies" ], "domainKnowledge" : "Cloud-native development; AI/ML; DevOps; AWS best practices; Cloud-native application design; Modern software engineering; Infrastructure as Code; CI/CD pipelines; Enterprise software; Transformation programs; AI-enabled software", "domainList" : [ "cloud-native-development", "ai-ml", "devops", "aws-best-practices", "cloud-native-application-design", "modern-software-engineering", "infrastructure-as-code", "ci-cd-pipelines", "enterprise-software", "transformation-programs", "ai-enabled-software" ], "domainSpecificKnowledge" : [ "Cloud-native development", "AI/ML", "DevOps", "AWS best practices", "Cloud-native application design", "Modern software engineering", "Infrastructure as Code", "CI/CD pipelines", "Enterprise software", "Transformation programs", "AI-enabled software" ], "communicationSkills" : "Executive influence; Client-facing", "continuousLearning" : "Professional certifications; Continuing education; Learning and development stipend", "innovationCreativity" : "Innovation; Thought leadership; Co-innovation opportunities", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Up to 25% business travel", "qualificationsBasic" : "8+ years software engineering, 5+ years senior leadership, AWS cloud architecture expertise, Cloud-native application design expertise, Modern software engineering practices expertise, DevOps expertise, Infrastructure as Code expertise, Automation expertise, CI/CD pipeline implementation expertise, Deliver large enterprise software programs, Deliver transformation programs, Stakeholder management, Client-facing consulting experience, Professional services experience, AI-enabled software solutions experience, Excellent communication skills, Excellent leadership skills, Excellent organizational skills", "qualificationsPreferred" : "AWS certifications, Product environments experience, SaaS environments experience, Interest in applying emerging technologies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and drive the strategic vision for cloud-native application development, AI, and ML practices, ensuring alignment with business goals, AWS best practices, and emerging industry trends. Establish and continuously improve modern engineering frameworks, architectural standards, DevOps practices, and delivery methodologies for scalable cloud-native and AI-enabled systems. Lead, mentor, and scale a large multidisciplinary organization of engineers, architects, and consultants, fostering a culture of technical excellence, innovation, and AI-first delivery. Oversee end-to-end delivery of complex client engagements, ensuring high-quality outcomes, strong customer satisfaction, and efficient execution using modern cloud and AI tools. Partner with AWS and other strategic technology providers to leverage new services, co-innovation opportunities, and partner ecosystems to enhance solution offerings. Support business growth through pre-sales engagement, solution design, and alignment of technical capabilities with customer needs and revenue opportunities. Champion innovation and thought leadership by staying ahead of trends in cloud-native development, DevOps, and AI/ML, while representing the organization in industry events and client forums. Drive the adoption of AI-powered tools and practices to improve engineering productivity, delivery speed, and solution quality across internal teams and client projects. Requirements: 8+ years of experience in software engineering and cloud technologies, including at least 5 years in senior leadership or organizational management roles. Proven track record of leading and scaling large engineering or consulting organizations (ideally 50+ team members or complex delivery units). Strong expertise in AWS cloud architecture, cloud-native application design, and modern software engineering practices. Deep experience in DevOps, Infrastructure as Code (IaC), automation, and CI/CD pipeline implementation at scale. Demonstrated ability to deliver large, multi-million-dollar enterprise software or transformation programs. Strong background in stakeholder management, with the ability to influence executives, customers, and cross-functional teams. Experience in client-facing consulting or professional services environments with enterprise customers across multiple industries. Hands-on experience with AI-enabled software solutions and a strong interest in applying emerging technologies to improve delivery outcomes. Excellent communication, leadership, and organizational skills, with the ability to operate effectively in fast-paced, ambiguous environments. AWS certifications and experience in product or SaaS environments are considered strong assets. Benefits: 100% remote work flexibility Comprehensive health coverage (including dependents) Long-term disability insurance Employer-matched pension plan (4%) Unlimited vacation policy Paid sick leave and public holidays Paid parental leave Support for professional certifications and continuing education Annual learning and development stipend Equipment and home office stipend Latest tools and technology provided (laptop and setup) Peer recognition and bonus programs Equity or variable compensation components (role-dependent) Base salary range: $207,000 – $272,000 CAD annually, with additional bonus, equity, and incentive opportunities depending on performance and role scope Potential for up to 25% business travel depending on client needs. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Director of Cloud Native Applications. Skills: Cloud Native Applications, AI, ML, DevOps, Cloud Architecture. Define strategic vision for cloud-native development. Drive strategic vision for AI practices", "postedDate" : "2026-06-15T13:18:21.074", "createdAt" : "2026-06-15T13:18:21.074", "lastUpdated" : "2026-06-16T13:00:13.202", "ingestTimestamp" : "2026-06-16T03:20:43.088", "mongoId" : "6a305118f292fd229cef98b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cloud architecture", "Application design", "Software engineering", "DevOps", "Infrastructure as Code", "Automation", "CI/CD pipeline implementation", "AI-enabled solutions", "Leadership", "Mentoring", "Cloud Native Applications", "AI", "ML", "Cloud Architecture", "Strategic vision", "Engineering frameworks", "Architectural standards", "Delivery methodologies", "Organizational management", "Client engagements", "Solution design", "Business growth", "Thought leadership", "Stakeholder management", "Executive influence", "Cloud-native development", "AI/ML", "AWS best practices", "Cloud-native application design", "Modern software engineering", "CI/CD pipelines", "Enterprise software", "Transformation programs", "AI-enabled software", "AWS certifications" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 487.0771, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30517cf292fd229cf012ed", "title" : "Senior AI-Native Software Engineer", "company" : "Payoneer", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior AI-Native Software Engineer in Herzliya, Israel, adjusted for FinTech industry and company size." }, "location" : "Ramat HaSharon, Tel Aviv District, Israel", "locations" : [ "Ramat HaSharon", "Tel Aviv District", "Israel" ], "timestamp" : "2026-06-16T05:21:25.150", "fingerprint" : "4152c38be328f2a1fdd332f7a2bf16b388f2a11ae0eb5c372fc131d97548afe3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.payoneer.com/careers/position/7925943/?gh_jid=7925943", "externalId" : "7925943", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herzliya", "state" : "Tel Aviv District", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "32.1656255,34.8469023" } ], "locationText" : "Herzliya, Tel Aviv District, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Payoneer Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. Senior AI-Native Software Engineer Role summary You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it. As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users. Location Hybrid - Herzliya, Israel Full-time What you'll do Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production Use AI as your primary development tool, achieving in a day what used to take a team a week Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics Design and build evaluation frameworks as part of every solution you don't ship what you can't measure Own production readiness monitoring, alerting, and observability go in on day one Contribute to shaping team practices, tooling, and engineering standards across the pod Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities. Who you are 5+ years of software engineering experience, building and operating production systems Hands-on experience with AI/ML systems in production not just prototyping, but shipping, monitoring, and iterating Genuine fluency with AI-powered development tools you use them daily to move faster Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling Strong evaluation instincts you define metrics, build test sets, and validate before shipping Comfortable across the full stack you move between prompt engineering, backend services, data pipelines, and infrastructure as needed High degree of independence you lead work from problem definition to production without waiting for detailed specs Excellent communication you flag risks early, give direct feedback, and collaborate openly Fintech or regulated-environment experience is an advantage #LI-LF1 The Payoneer Ways of Working Act as our customer’s partner on the inside Learning what they need and creating what will help them go further. Do it. Own it. Being fearlessly accountable in everything we do. Continuously improve Always striving for a higher standard than our last. Build each other up Helping each other grow, as professionals and people. If this sounds like a business, a community, and a mission you want to be part of, apply today. We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. 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We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. Senior AI-Native Software Engineer Role summary You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it. As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users. Location Hybrid - Herzliya, Israel Full-time What you'll do Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production Use AI as your primary development tool, achieving in a day what used to take a team a week Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics Design and build evaluation frameworks as part of every solution you don't ship what you can't measure Own production readiness monitoring, alerting, and observability go in on day one Contribute to shaping team practices, tooling, and engineering standards across the pod Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities. Who you are 5+ years of software engineering experience, building and operating production systems Hands-on experience with AI/ML systems in production not just prototyping, but shipping, monitoring, and iterating Genuine fluency with AI-powered development tools you use them daily to move faster Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling Strong evaluation instincts you define metrics, build test sets, and validate before shipping Comfortable across the full stack you move between prompt engineering, backend services, data pipelines, and infrastructure as needed High degree of independence you lead work from problem definition to production without waiting for detailed specs Excellent communication you flag risks early, give direct feedback, and collaborate openly Fintech or regulated-environment experience is an advantage #LI-LF1 The Payoneer Ways of Working Act as our customer’s partner on the inside Learning what they need and creating what will help them go further. Do it. Own it. Being fearlessly accountable in everything we do. Continuously improve Always striving for a higher standard than our last. Build each other up Helping each other grow, as professionals and people. If this sounds like a business, a community, and a mission you want to be part of, apply today. We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.", "summaryDescription" : "Senior AI-Native Backend Developer at Payoneer", "postedDate" : "2026-06-15T23:16:56.921", "createdAt" : "2026-06-15T23:16:56.921", "lastUpdated" : "2026-06-16T07:33:56.092", "ingestTimestamp" : "2026-06-15T23:16:56.921", "mongoId" : "6a30517cf292fd229cf012ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 481.51608, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e137", "title" : "AI Annotation Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level AI Annotation Specialists in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T03:47:37.663", "fingerprint" : "a0d497d099f6a5738f4d29e68e441254cacf9292b7d872f7c312544a959b9d3d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4232733009", "externalId" : "4232733009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "technicalSkills" : "AI, LLMs, Machine learning", "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" } ], "majorSkills" : "Data annotation, AI development, LLM training", "majorSkillsList" : [ "Data annotation", "AI development", "LLM training" ], "coreResponsibilities" : "Rate AI model performance, Assess AI model behavior, Label content elements, Assign predefined categories, Evaluate content quality, Evaluate content appropriateness, Generate labels, Create training data, Apply data transformations, Modify images, Generate new text, Alter audio/video signals, Review data, Identify product feature function, Label model outputs, Identify content type, Order items, Rank items, Create prompts, Create questions, Evaluate content relevance, Generate responses, Rewrite existing text, Preserve original meaning, Produce concise summaries, Convert spoken language, Convert audio content, Convert text, Convert spoken language to text, Convert text to another language, Convert spoken language to another language, Gather data, Compile data", "teamCollaboration" : "Global contributor community; Subject Matter Expert on Demand program", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "qualificationsBasic" : "High School Diploma or higher, Professional or Expert level proficiency in English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A High School Diploma or higher is required. Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Annotation Specialist at Innodata Inc.. Skills: Data annotation, AI development, LLM training. Rate AI model performance. Assess AI model behavior", "postedDate" : "2026-06-13T21:29:06.790", "createdAt" : "2026-06-13T21:29:06.790", "lastUpdated" : "2026-06-15T03:47:37.663", "ingestTimestamp" : "2026-06-13T21:29:06.790", "mongoId" : "6a2c6ace74d8ee00a090e137", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Data annotation", "AI development", "LLM training", "Generative AI", "Large language models" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 477.6036, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c90ff74d8ee00a0981b68", "title" : "Founding AI Native Lead", "company" : "RoboForce", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead AI Native position in Milpitas, California, adjusted for the technology industry and a startup company size." }, "location" : "Milpitas, California, United States", "locations" : [ "Milpitas", "California", "United States" ], "timestamp" : "2026-06-16T04:13:49.395", "fingerprint" : "9ed0f53e4e9decd9c02d74c0ae21992292ebed88d27ae705492a114fd0bf55d0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/roboforce/jobs/5255989008", "externalId" : "5255989008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4332273,-121.8989248" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Lead", "technicalSkills" : "APIs, Scripting, LLM tools, Agent frameworks, Integrations, Internal automation", "professionalSkills" : [ "Cross-functional execution", "Product judgment", "System design" ], "majorSkills" : "AI Native, Workflow automation, Agent development", "majorSkillsList" : [ "AI Native", "Workflow automation", "Agent development" ], "coreResponsibilities" : "Build RoboForce’s internal AI-native operating system, Prototype AI solutions quickly, Measure AI impact, Scale AI solutions, Drive AI agent adoption, Embed AI into daily workflows, Lead AI Champion network, Capture AI-native practices, Spread AI-native practices, Operationalize AI-native practices, Define company-wide standards for tools, Define standards for cost, Define standards for security, Define standards for model routing, Define standards for context management, Define standards for human approval thresholds, Partner with engineering on connectors, Partner with IT on connectors, Partner with engineering on permissions, Partner with IT on permissions, Partner with engineering on local model hosting, Partner with IT on local model hosting, Partner with engineering on monitoring, Partner with IT on monitoring, Partner with engineering on secure deployment, Partner with IT on secure deployment, Turn ambiguous AI-native priorities into clear systems, Turn ambiguous AI-native priorities into owners, Turn ambiguous AI-native priorities into workflows, Turn ambiguous AI-native priorities into execution rhythms", "teamCollaboration" : "World-class AI experts; Robotics experts; Engineering; IT; Software teams; Hardware teams; Marketing teams; Operations teams; Recruiting teams; BD teams; AI teams", "domainKnowledge" : "Physical AI; Robotics; Deep tech", "domainList" : [ "physical-ai", "robotics", "deep-tech" ], "domainSpecificKnowledge" : [ "Physical AI", "Robotics", "Deep tech" ], "toolProficiency" : [ "Claude Code", "Codex", "OpenClaw", "Hermes Agent", "Cursor" ], "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "In-Office Collaboration", "outcomesObjectives" : "Make RoboForce faster; Make RoboForce sharper; Make RoboForce more scalable; Make the entire company AI-native", "qualificationsBasic" : "5–8+ years across product, engineering, AI workflows, founder office, or Chief of Staff roles, Daily AI power user with hands-on experience using Claude Code, Codex, OpenClaw, Hermes Agent, or equivalent tools, Technical fluency with APIs, scripting, LLM tools, agent frameworks, integrations, and internal automation, Cross-functional execution across technical and non-technical teams, Builder mindset: vague problem → working prototype → real adoption, Sharp product judgment on when to use a prompt, bot, script, SOP, workflow, dashboard, or no tool, High judgment with sensitive company context, ambiguity, and fast-moving priorities", "qualificationsPreferred" : "Experience with Claude Code, Codex, Cursor, agent frameworks, LLM routing, or local model hosting, Ex-founder or direct founder-office experience in a high-growth startup, Experience building a function, system, or operating cadence from zero, Background in AI, robotics, hardware, deep tech, or technically complex domains", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. We are not just building AI robots. We are building an AI-native company. We are hiring a Founding AI Native Lead, reporting directly to the co-founder and working closely with world-class AI and robotics experts across the company. This is a founding builder-operator role focused on turning AI from scattered experiments into company-wide leverage. You will build workflows, agents, automations, playbooks, and internal systems that make RoboForce faster, sharper, and more scalable. You are helping make the entire company AI-native. Responsibilities RoboForce AI-Native Operating System — Build RoboForce’s internal AI-native operating system, including agents, automations, workflows, templates, and internal tools, from prototype to production. High-Leverage Opportunities — Identify where AI can create 3× leverage across the company. Prototype quickly, measure impact, scale what works, and kill what doesn’ t. Workflow Adoption — Drive AI agent adoption across AI, software, hardware, marketing, operations, recruiting, BD, and more by embedding AI into daily workflows. AI-native Champion Program — Lead the cross-functional AI Champion network to capture, spread, and operationalize the best AI-native practices across teams. AI Agent Usage Standards — Define company-wide standards for tools, cost, security, model routing, context management, and human approval thresholds. AI-Native Infrastructure — Partner with engineering and IT on connectors, permissions, local model hosting, monitoring, and secure deployment. Technical Chief of Staff Execution — Turn ambiguous AI-native priorities into clear systems, owners, workflows, and execution rhythms. In-Office Collaboration — Work in-office 5 days a week to enable high-bandwidth collaboration, rapid iteration, and direct access to teams. Requirements 5–8+ years across product, engineering, AI workflows, founder office, or Chief of Staff roles. Daily AI power user with hands-on experience using Claude Code, Codex, OpenClaw, Hermes Agent, or equivalent tools. Technical fluency with APIs, scripting, LLM tools, agent frameworks, integrations, and internal automation. Strong cross-functional execution across technical and non-technical teams. Builder mindset: vague problem → working prototype → real adoption. Sharp product judgment on when to use a prompt, bot, script, SOP, workflow, dashboard, or no tool. High judgment with sensitive company context, ambiguity, and fast-moving priorities. Bonus Qualifications Experience with Claude Code, Codex, Cursor, agent frameworks, LLM routing, or local model hosting. Ex-founder or direct founder-office experience in a high-growth startup. Experience building a function, system, or operating cadence from zero. Background in AI, robotics, hardware, deep tech, or technically complex domains. Benefits Competitive stock options/equity programs. Health, dental, and vision insurance, 401(k) plan. Visa sponsorship and green card support for qualified candidates. Lunches and dinners, a fully stocked kitchen, and regular team-building events.", "summaryDescription" : "Founding AI Native Lead at RoboForce. Skills: AI Native, Workflow automation, Agent development. Build RoboForce’s internal AI-native operating system. Prototype AI solutions quickly", "postedDate" : "2026-06-14T18:33:53.112", "createdAt" : "2026-06-14T18:33:53.112", "lastUpdated" : "2026-06-16T04:13:49.395", "ingestTimestamp" : "2026-06-14T18:33:53.112", "mongoId" : "6a2c90ff74d8ee00a0981b68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "AI Native", "Workflow automation", "Agent development", "Cross-functional execution", "Product judgment", "System design", "Physical AI", "Robotics", "Deep tech", "Claude Code", "Codex", "OpenClaw", "Hermes Agent", "Cursor" ], "skillCount" : 14, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 473.87064, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2ca43974d8ee00a09b0c5e", "title" : "Junior React Native Developer", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 40000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior React Native Developer in Amsterdam, Netherlands, adjusted for the e-commerce industry and company size." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-15T22:09:20.908", "fingerprint" : "b81b400fad66f70b84595d56601eb9cc711f3a129fd2312393c88cb7bb42dd65", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=5405452", "externalId" : "5405452", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Junior", "technicalSkills" : "React, React Native, TypeScript, RxJS, Redux, Styled Components, Jest, Storybook, JavaScript", "professionalSkills" : [ "Server-driven UI", "UI framework", "Business requirements", "Technical plan" ], "hardSkillsList" : [ "Unit testing" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Unit testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "React Native, JavaScript ecosystem, Server-driven UI", "majorSkillsList" : [ "React Native", "JavaScript ecosystem", "Server-driven UI" ], "teamCollaboration" : "Cross-functional teams; Designers; Product owners", "domainKnowledge" : "Grocery service; Customer-facing products; Server-driven UI; Mobile applications; Web applications; Sustainable business model", "domainList" : [ "grocery-service", "customer-facing-products", "server-driven-ui", "mobile-applications", "web-applications", "sustainable-business-model" ], "domainSpecificKnowledge" : [ "Grocery service", "Customer-facing products", "Server-driven UI", "Mobile applications", "Web applications", "Sustainable business model" ], "toolProficiency" : [ "Jest", "Storybook" ], "continuousLearning" : "Picnic Tech Academy; Lunch & Learn sessions; Tailored soft skills training; Professional language courses", "innovationCreativity" : "Drive own projects", "problemSolvingSkills" : "Problem-solving mindset", "qualificationsBasic" : "2+ years software development, Shipped applications, Hands-on unit testing", "qualificationsPreferred" : "React Native experience, React experience, TypeScript experience, JavaScript frameworks experience, Variety of technologies experience, Problem-solving mindset, Transform business requirements, Take feedback, Learn from developers", "workSiteFlexibility" : "Onsite", "rawDescription" : "In a nutshell At Picnic, we're revolutionising the way people buy groceries with our affordable and sustainable grocery service. We do almost everything in-house, developing cutting-edge technologies and processes to ensure we continue to grow rapidly without missing a beat. In all our customer-facing products, we use React. Our mobile application uses React Native, combined with our home-grown server-driven UI framework. We have ambitious plans to unify our mobile and web applications into a single platform. Quality is our top priority, so we use TypeScript across the board. In this role you can expect to work with a wide range of technologies within the JavaScript ecosystem, across the full stack! Experience with React Native is not required, we’ll get you up to speed with that on the job. Tricks of the trade Impact: Help us bring the grocery shopping revolution to millions of customers. As a front-end engineer, you’ll contribute to a product that is central to our business and directly impacts how people shop every day. Contribution: Work on our powerful server-driven UI framework at the heart of our app, powering the entire shopping experience, enabling rapid iteration, driving large-scale personalization with tailored content for each user, and empowering business teams to operate the store autonomously through real-time updates by operators and analysts without engineering involvement. Growth: Learn to work with cross-functional teams across the entire business, get to work on increasingly challenging tasks and projects, and have ownership over your contributions Collaboration: Collaborate with designers and product owners to create specifications for new features Our Tech: React, React Native, TypeScript and RxJS, Redux, Styled Components, Jest, Storybook We’re looking for 2+ years of full-time software development, and have worked with React, React Native, Typescript, or similar JavaScript frameworks Experience in shipping applications A willingness and desire to work with a variety of technologies Hands-on experience with (unit) testing Enthusiasm to work with a variety of technologies and a problem-solving mindset The confidence to transform business requirements into a technical plan The willingness and flexibility to take feedback and learn from other developers Picnic Perks ✍\uD83C\uDFFCEvery expert was once a beginner! You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses. \uD83D\uDCA1Make a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDEF1\uD83C\uDFFC‍\uD83E\uDEF2\uD83C\uDFFETeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83C\uDF4EYou are what you eat You’ll get freshly prepared, healthy lunches and snacks (with plenty of vegetarian, vegan, and halal options). Coffee snob? Don’t worry, our amazing Picnic barista has you covered. \uD83D\uDEB4\uD83C\uDFFDStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga, to climbing! \uD83D\uDD0BAttractive package We offer competitive compensation and a pension plan that looks out for your future self, as well as 25 vacation days per year, so you can recharge your batteries \uD83C\uDF0DBenefits for expats It can be daunting starting a new job AND moving to a new country. That’s why we offer lots of support for our many expat colleagues, if you want to find our relocation benefits, see here.", "summaryDescription" : "Junior React Native Developer at Picnic. Skills: React Native, JavaScript ecosystem, Server-driven UI", "postedDate" : "2026-06-14T18:36:32.936", "createdAt" : "2026-06-14T18:36:32.936", "lastUpdated" : "2026-06-15T22:09:20.908", "ingestTimestamp" : "2026-06-14T18:36:32.936", "mongoId" : "6a2ca43974d8ee00a09b0c5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Unit testing", "Problem-solving", "React Native", "JavaScript ecosystem", "Server-driven UI", "UI framework", "Business requirements", "Technical plan", "Grocery service", "Customer-facing products", "Mobile applications", "Web applications", "Sustainable business model", "Jest", "Storybook" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 473.3879, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c79f174d8ee00a0943d34", "title" : "Lead Engineer (AI Native)", "company" : "CreateFuture", "industry" : "Consulting", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Engineer in Edinburgh, UK, adjusted for the consulting industry and company size." }, "location" : "Level 1, The Stamp Office, 10 Waterloo Pl, Edinburgh EH1 3EG", "locations" : [ "Level 1", "The Stamp Office", "10 Waterloo Pl", "Edinburgh EH1 3EG", "Leeds", "England", "United Kingdom", "London", "England", "United Kingdom", "Manchester", "England", "United Kingdom" ], "timestamp" : "2026-06-16T01:37:19.297", "fingerprint" : "c42e28a4fe3e303ff7e6c1ee37cdc95e7f0db52201c552903cfffc43f25160bd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/xdesign/jobs/4778594101", "externalId" : "4778594101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Edinburgh", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "55.9533456,-3.1883749" } ], "locationText" : "Edinburgh, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Java, NET, Web engineering, Cloud hyperscaler", "professionalSkills" : [ "System design", "Problem solving", "Thought leadership" ], "hardSkillsList" : [ "AI application", "Observability", "Verification", "Build automation" ], "softSkillsList" : [ "Mentoring", "Coaching" ], "hardSkills" : [ { "name" : "AI application", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Verification", "level" : "intermediate" }, { "name" : "Build automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Coaching" } ], "majorSkills" : "AI Native Transformation, Software Craftsmanship, Cloud Architecture", "majorSkillsList" : [ "AI Native Transformation", "Software Craftsmanship", "Cloud Architecture" ], "coreResponsibilities" : "Work closely with client teams, Turn ambiguous problems into clear approaches, Design and build software, Make pragmatic decisions, Use AI tools extensively, Support research, context exploration, architecture, implementation, testing, documentation, Ensure decisions and changes are traceable and explainable, Build and coach quality from the start, Apply AI to foundational techniques, Help clients make deliberate AI focused technology choices, Avoid unnecessary lock in, Allow delivery approaches to evolve, Share learning with client teams, Share learning with CreateFuture colleagues, Improve delivery practices over time, Deliver external thought leadership, Improve brand presence and credibility", "teamCollaboration" : "Client teams; CreateFuture colleagues", "projectManagementSkills" : [ "Delivery" ], "domainKnowledge" : "AI Native Transformation; Cloud-native architecture; Operational impact of AI; Commercial impact of AI; Cultural impact of AI", "domainList" : [ "ai-native-transformation", "cloud-native-architecture", "operational-impact-of-ai", "commercial-impact-of-ai", "cultural-impact-of-ai" ], "domainSpecificKnowledge" : [ "AI Native Transformation", "Cloud-native architecture", "Operational impact of AI", "Commercial impact of AI", "Cultural impact of AI" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Clear communications style", "continuousLearning" : "40 hours paid learning; Personal growth", "innovationCreativity" : "AI solutions development", "problemSolvingSkills" : "Simplify problems; Make decisions; Bias to build and test; General problem solving", "specialRequirements" : "Occasional travel to client sites, Occasional travel to CreateFuture offices", "outcomesObjectives" : "Solve client problems; AI native transformation of client teams; Accelerate outcomes with T-shaped thinking", "qualificationsBasic" : "Significant experience building production software, Core skillset around common languages/stacks, Experience designing, building, operating software systems in at least one Cloud hyperscaler, Comfortable owning underlying workload infrastructure, Appreciation and good general understanding of Design, Product, Delivery disciplines, Comfortable with ambiguity, Uses AI tools to scale execution, Commercial mindset, Accountable for outcomes", "qualificationsPreferred" : "Expert in Design, Product or Delivery not expected", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Our UK Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. Financial coaching + 5% pension match. 40 hours of paid learning and development. View our full list of UK benefits. CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row. Join us on our journey. Let’s create tomorrow, together, today. About the role and team: This role is primarily a client facing role, focused both on solving client problems and AI native transformation of their own teams, however you will play a varied role across all elements of our business, from pre-sales through to marketing and thought leadership - you’re not afraid to lean in and contribute wherever an opportunity presents itself. You have excellent consulting skills - you love appropriately challenging the client context or requirements to lead them towards a better outcome. You care deeply about software craftsmanship, designing and building and shipping high-quality, maintainable systems and you use AI as a force multiplier to amplify your own impact and raise the bar for the teams you work with. You’ve got a real appreciation of operational, commercial and cultural impact of making changes to ways of working through the use of AI and you ensure safe and ethical applications and You enjoy helping simplify problems, make decisions, and have a bias to build and test over analysis paralysis, taking responsibility for overall outcomes, not just the implementation, and are influential You’ve got a clear communications style, and love using your experience to help others succeed through mentoring and coaching. What you’ll be doing: Work closely with client teams to understand their context, constraints, and goals, and help turn ambiguous problems into clear, workable approaches. Design and build software across different parts of a system, making pragmatic decisions that balance speed, quality, and long term maintainability. Use AI tools extensively and usefully throughout the delivery lifecycle to support research, context exploration, architecture, implementation, testing, and documentation, while ensuring decisions and changes are traceable and explainable. Build and coach quality from the start by applying AI to strong foundational techniques such as observability, verification and build automation. Help clients make deliberate AI focused technology and tooling choices that avoid unnecessary lock in and allow delivery approaches to evolve as cost, regulation, or capability changes. Share learning with both client teams and CreateFuture colleagues to improve delivery practices over time. Deliver external thought leadership at conferences and meetups to improve our brand presence and credibility. We’d love to talk to you if you: Have significant experience building and maintaining production software and understands the core responsibilities and accountabilities that come with it, irrespective of AI Have a core and demonstrably strong and recent skillset around common languages/stacks that are in use in Production, for example within the Java, .NET or Web engineering ecosystems Have experience of designing, building and operating software systems in at least one Cloud hyperscaler. You feel confident and comfortable owning the underlying workload infrastructure for your domain boundary, making architecture decisions and engaging with platform and architecture functions. Whilst we don’t expect you to be an expert in Design, Product or Delivery, you will have an appreciation and good general understanding of those disciplines - our belief is you will be able to accelerate outcomes with your T-shaped thinking and application of good general problem solving skills & AI to derive specific domain context Are comfortable with ambiguity and is happy working across multiple parts of a system rather than focusing on a single framework or layer Uses AI tools to scale execution, while remaining accountable for the outcomes they produce. Have a commercial mindset, solves pain points to drive business outcomes within client constraints and technology risk. Is comfortable with ambiguity and relishes the opportunity to learn, explore and define. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. Our hiring process We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: Call with our Talent Acquisition Team Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. Inclusion at CreateFuture We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application!", "summaryDescription" : "Lead Engineer (AI Native) at CreateFuture. Skills: AI Native Transformation, Software Craftsmanship, Cloud Architecture. Work closely with client teams. 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Achieve 95%+ crash-free rate; Reduce app load time by 20%; Deliver 100% sprint commitments; Mentor 2 junior developers annually", "qualificationsBasic" : "React Native, JavaScript/TypeScript, Redux or MobX, RESTful APIs, Git, IOS & Android deployment, Xcode & Android Studio, Performance optimization, Problem-solving, Team collaboration", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Jobs for Humanity is partnering with testjune14_v2 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. Company Name: testjune14_v2 We are seeking a talented React Native Developer to join our dynamic team based in Riyadh. In this role, you will be responsible for developing and maintaining high-quality mobile applications that deliver seamless user experiences. You will work closely with cross-functional teams to build, optimize, and deploy robust mobile solutions for both iOS and Android platforms. Job Purpose The primary purpose of this role is to develop and maintain high-quality mobile applications using React Native, ensuring seamless user experiences while meeting key performance and delivery targets for the Riyadh-based team. 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Therefore, we prioritize individuals coming from all walks of life. Company Name: testjune14_v2 We are seeking a talented React Native Developer to join our dynamic team based in Riyadh. In this role, you will be responsible for developing and maintaining high-quality mobile applications that deliver seamless user experiences. You will work closely with cross-functional teams to build, optimize, and deploy robust mobile solutions for both iOS and Android platforms. Job Purpose The primary purpose of this role is to develop and maintain high-quality mobile applications using React Native, ensuring seamless user experiences while meeting key performance and delivery targets for the Riyadh-based team. 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Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Lead delivery within AI-native POD", "createdAt" : "2026-06-14T20:27:36.543", "lastUpdated" : "2026-06-16T03:09:06.238", "ingestTimestamp" : "2026-06-14T20:27:36.543", "mongoId" : "69faf7c14c40e2acd18640af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "AI-native" ], "skillCount" : 5, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 456.9027, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c953374d8ee00a098c912", "title" : "Speech-Language Pathologist", "company" : "Ally Behavior Centers", "location" : "Chantilly, Virginia, USA", "locations" : [ "Chantilly", "Virginia", "USA" ], "certifications" : [ "ASHA certification", "BLS", "Speech Therapy licensure" ], "timestamp" : "2026-06-15T08:40:20.570", "fingerprint" : "02c1b0577f7a3d5c69b8c5fa10d503f3dbbb3f8880d4fe67818fdd81a0b532d7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/allybehaviorcenters/jobs/4115174009", "externalId" : "4115174009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chantilly", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Chantilly, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "Speech Therapy", "professionalSkills" : [ "Applied Behavior Analysis (ABA) therapy, early intervention for children with autism, HIPAA protocol." ], "hardSkillsList" : [ "Speech Therapy", "parent training", "client caseload management", "diaper changing", "toileting assistance" ], "softSkillsList" : [ "energetic, motivated, enthusiasm, patience, calm demeanor" ], "hardSkills" : [ { "name" : "Speech Therapy", "level" : "intermediate" }, { "name" : "parent training", "level" : "intermediate" }, { "name" : "client caseload management", "level" : "intermediate" }, { "name" : "diaper changing", "level" : "intermediate" }, { "name" : "toileting assistance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "energetic, motivated, enthusiasm, patience, calm demeanor" } ], "majorSkills" : "Speech Therapy, ABA therapy, client caseload management, parent training, collaboration", "majorSkillsList" : [ "Speech Therapy, ABA therapy, client caseload management, parent training, collaboration" ], "coreResponsibilities" : "Carry a client caseload of up to 23 clients, complete parent training, meet billable hour expectations, collaborate with OTs and BCBAs, attend team meetings, maintain client confidentiality, and communicate with families and clinical teams.", "teamCollaboration" : "Collaborate with Occupational Therapists and Board Certified Behavior Analysts to coordinate the therapy of shared clients. Performance in team settings & collaboration with others.", "toolProficiency" : [ "HIPAA" ], "communicationSkills" : "Effective communication skills; open communication", "documentationSkills" : "Maintain strict client confidentiality", "continuousLearning" : "In-house CEU's and professional development opportunities. Annual CEU Stipend of $1,000. Commitment to learn and pursue professional development.", "innovationCreativity" : "Creative solutions to problems with the ability to quickly adapt.", "problemSolvingSkills" : "Creative solutions to problems; ability to quickly adapt", "specialRequirements" : "Must submit to a federal, state, and county background check. This position is NOT eligible for Visa sponsorship.", "outcomesObjectives" : "Deliver the highest quality therapy to help early learners reach their potential to communicate, improve social skills, and prepare for academic success. Facilitate collaboration of care and superior treatment outcomes.", "qualificationsBasic" : "Masters Degree from an accredited program in Speech Language Pathology. Current and active Speech Therapy licensure. Meet ASHA certification requirements. Experience with early intervention and working with children with autism. Ability to be on-site 8:30am-5:30pm Monday-Friday. Reliable transportation and valid driver's license. Must pass background check. Ability to sit on the floor, kneel, crawl, squat, run or stand for extended periods. Ability to reach and hold objects. Ability to lift 30 pounds.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ally Behavior is a full-time, center-based, early intervention Applied Behavior Analysis (ABA) therapy program, serving children with autism ranging from 18 months to 6 years of age. Our mission is to deliver the highest quality therapy to help our early learners reach their potential to communicate, improve social skills, and prepare for academic success. The children we serve are at the heart of everything we do and we are passionate about our commitment to having a meaningful impact in the lives of our children and their families. What Makes Us Unique: Full-time center-based work with a compensation potential of up to $100,000+ Monthly billable hour bonus eligibility In-house CEU's and professional development opportunities Loan forgiveness and tuition assistance up to $21,000 Guaranteed semi-monthly paycheck, regardless of client cancellations Interdisciplinary teams with Occupational Therapists & Board Certified Behavior Analysts Annual CEU Stipend of $1,000 Job Summary: To facilitate collaboration of care and superior treatment outcomes for our young learners, we currently have an opening for a Speech-Language Pathologist (SLP). Our center-based program delivers intensive early intervention for young children with autism. Each child receives 1-on-1 ABA therapy delivered by a technician and overseen by a Board Certified Behavior Analyst (BCBA) through the day. Most of our learners require Speech Therapy in addition to ABA and Occupational Therapy. We are looking for an energetic, motivated individual to provide high quality Speech Therapy, collaborate with our clinicians on case management, and help our learners maximize their potential. Ally Behavior is a dynamic, fun, and rewarding place to work that offers superior growth and leadership opportunities in a supportive, engaging environment. We have a unique and collaborative culture that is driven by our diverse team of professionals and our core values of Serving Others, Treatment Excellence, All One Ally, Resourceful in Finding Solutions, and Striving to Grow. Our comprehensive onboarding and training approach will support and prepare you to provide the best possible therapy to our clients! Your Day-to-Day Responsibilities: Carry a client caseload of up to 23 clients Complete parent training with each client on their caseload once per quarter Complete a parent training following an evaluation or reevaluation within one month. Meet the billable hour expectations of 40 thirty-minute sessions (20 billable hours) per week Collaborate with Occupational Therapists and Board Certified Behavior Analysts to coordinate the therapy of shared clients Attend team meetings as scheduled Maintain strict client confidentiality following HIPAA protocol Maintain open communication with families and clinical teams to ensure the most effective treatment and goals Due to the nature of working with young children, all clinical staff are required to change diapers, assist with toileting, and be able to physically work on the floor with children Experiential & Certification Requirements: Masters Degree required from a program in Speech Language Pathology which is accredited by the Education Standards Board or whose practice meets ASHA certification requirements Current and active Speech Therapy licensure in the state(s) of hire Meet the education and experience requirements for Certification of Clinical Competence in Speech Language Pathology or Audiology granted by ASHA Current Basic Life Support (BLS) certification Experience with early intervention and working with children with autism Ability to be on-site from 8:30am-5:30pm Monday through Friday required Reliable transportation and a valid driver's license Must submit to a federal, state, and county background check Physical Requirements: Ability to sit on the floor, kneel, crawl, squat, run or stand for extended periods of time Ability to reach and hold objects Ability to lift 30 pounds What You Will Bring: Enthusiasm to make a difference working with young children and their families Ability to maintain a caseload with a weekly billable hour requirement Exceptional ability in building trusting relationships and maintaining confidentiality Commitment to learn and pursue professional development Strong knowledge of SLP principles Strong leadership qualities Demonstration of professionalism and adherence to Ally policy to team members Effective communication skills Multi-tasking & time management Creative solutions to problems with the ability to quickly adapt Patience and calm demeanor in stressful situations Strong performance in team settings & collaboration with others What We Offer When Joining Our Team: Salaried, full-time position Monthly bonus eligibility (on top of base salary) Guaranteed semi-monthly paycheck (24) Company-sponsored DashPass 18 days of paid time off 9 paid holidays (5 set days + 4 \"floating\" holidays) CEU assistance and professional development opportunities Medical +HSA, Dental, and Vision coverage through Cigna Up to $9,000 in post-maternity childcare assistance 401(k) plan with company match. Employee Assistance Program Short Term Disability, Term-Life/AD&D Insurance, Critical Illness with Cancer Insurance, Accident Insurance, Hospital Confinement Insurance, and Pet Insurance Tuition Assistance eligibility at 6-month benchmark Pay Range $80,000—$100,000 USD Note: This position is NOT eligible for Visa sponsorship. Ally Behavior is an equal opportunity employer. In compliance with Federal and State Equal Opportunity Laws, qualified applicants are considered for all positions applied for without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, veteran status or any other legally protected status. Your personal information will be used for recruitment purposes only and handled in accordance with applicable privacy laws.", "summaryDescription" : "Speech-Language Pathologist at Ally Behavior Centers. Skills: Speech Therapy, ABA therapy, client caseload management, parent training, collaboration. 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TECHNICAL EDUCATION CENTER (3)
540 DULLES AVENUE
SUGAR LAND, 77478

" ], "certifications" : [ "ASHA Certification", "TEA certification" ], "timestamp" : "2026-06-16T03:28:16.643", "fingerprint" : "4102728f37c8f29825e8926b707c871d2a12ce4473c2bbaa978de3759645df50", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=187632", "externalId" : "187632", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "technicalSkills" : "Windows Operating System, Microsoft Office, Microsoft Word, Microsoft Excel, Microsoft PowerPoint", "professionalSkills" : [ "Speech evaluation", "Therapeutic intervention", "Medicaid billing", "Report writing", "Treatment plan development" ], "hardSkillsList" : [ "Speech assessment", "Data interpretation", "Data-based decision making", "Student outcomes monitoring" ], "hardSkills" : [ { "name" : "Speech assessment", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data-based decision making", "level" : "intermediate" }, { "name" : "Student outcomes monitoring", "level" : "intermediate" } ], "majorSkills" : "Speech Language Pathology, Individualized Education Plans, ARD meetings", "majorSkillsList" : [ "Speech Language Pathology", "Individualized Education Plans", "ARD meetings" ], "coreResponsibilities" : "Conduct evaluations to determine speech/language disability, Determine educational need for specialized instruction, Provide recommendations to support communication, Develop individualized education plans, Conduct ARD meetings, Ensure appropriate programming for students, Provide therapeutic intervention, Provide classroom support, Eliminate or reduce communication problems/impairments, Maintain compliance of all federal / local timelines, Maintain individual records, Maintain Medicaid billing, Maintain state performance plan indicators 7, 11, &, Provide services consistent with speech goals, Develop functional individualized education plans, Gather and interpret data, Conduct assessments to identify communication disorders, Establish eligibility for services, Inform instruction and intervention, Plan ARD committee meetings, Conduct ARD committee meetings, Participate in ARD committee meetings, Plan staffings, Conduct staffings, Participate in staffings, Plan parent meetings, Conduct parent meetings, Participate in parent meetings, Develop individualized education program (IEP), Develop treatment plan/therapy log, Support student services, Collaborate with other professionals, Collaborate with classroom teachers, Offer assistance in addressing linguistic foundations, Offer assistance in addressing metalinguistic foundations, Compile reports, Maintain reports, File reports, Submit reports, Compile records, Maintain records, File records, Submit records, Compile documents, Maintain documents, File documents, Submit documents, Engage in continuing education experiences, Engage in professional development, Supervise licensed assistants, Supervise clinical fellowship year interns, Supervise students", "teamCollaboration" : "Collaborate with other professionals; Collaborate with classroom teachers", "domainKnowledge" : "Speech Language Pathology; Communication disorders; Educational program; Least restrictive environment; Evidence based practices; Federal mandates; State mandates; Local board policy; Curriculum learning; Students with disabilities; Bodily fluids; De-escalation techniques; Restraint techniques", "domainList" : [ "speech-language-pathology", "communication-disorders", "educational-program", "least-restrictive-environment", "evidence-based-practices", "federal-mandates", "state-mandates", "local-board-policy", "curriculum-learning", "students-with-disabilities", "bodily-fluids", "de-escalation-techniques", "restraint-techniques" ], "domainSpecificKnowledge" : [ "Speech Language Pathology", "Communication disorders", "Educational program", "Least restrictive environment", "Evidence based practices", "Federal mandates", "State mandates", "Local board policy", "Curriculum learning", "Students with disabilities", "Bodily fluids", "De-escalation techniques", "Restraint techniques" ], "toolProficiency" : [ "Windows", "Microsoft Office", "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Medicaid billing; Report writing; Treatment plan development; Therapy log development", "continuousLearning" : "Continuing education experiences; Professional development", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "Occasional walking, Occasional standing, Occasional sitting, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Lifting less than 40 pounds, Use hands to finger, Handle objects, Feel objects, Use tools, Reach with hands, Talk or hear, Close vision, Color vision, Adjust focus, Attendance at conferences, Attendance at professional development, Normal safety precautions, Prolonged hours, Irregular hours, Maintain emotional control, Exposure to bodily fluids, Physically restraining students, Travel to various campuses, Travel to district meeting sites, Work some overtime", "outcomesObjectives" : "Support communication; Monitor student outcomes", "qualificationsBasic" : "Master's Degree Speech Language Pathology or related field, Bachelor's Degree with TEA certification in Speech and Language Therapy or Speech and Hearing Therapy, ASHA Certification Clinical Fellowship Year and/or Master's degree with TX license, Valid Texas license as a Speech Pathologist granted by Texas Board of Examiners for Speech-Language Pathology or Audiology, Proficient in using Windows Operating System, Proficient in Microsoft Office applications, Must be able to effectively communicate information and ideas both verbally and in writing, Must have organizational skills, Must have communication skills, Must have interpersonal skills, Must be able to solve complex problems, Must be able to handle stressful situations, Must be able to administer, score, and interpret standardized speech assessment instruments for children", "qualificationsPreferred" : "Minimum of 1 year experience as a Speech Language Pathologist in public schools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The Pathologist Speech Language will conduct evaluations to determine a speech/language disability condition, an educational need for specialized instruction, and provide recommendations to support communication. The incumbent will develop individualized education plans and conduct ARD meetings to ensure appropriate programming for students within the least restrictive environment. The Pathologist Speech Language will provide therapeutic intervention and classroom support to eliminate or reduce communication problems/impairments that interfere with the students' ability to derive full benefit from the educational program. The incumbent will maintain compliance of all federal / local timelines, individual records, Medicaid billing, and state performance plan indicators 7, 11, & 12. Position Description Essential Duties and Responsibilities Service Delivery Plan and provide services that are appropriate and consistent with speech goals contained in the individual education plan (IEP) Develop functional individualized education plans based on the communication needs of the student Provide intervention that is appropriate to the age and learning needs of each individual student Gather and interpret data with individual students, as well as, overall program evaluation to support data-based decision making and monitor student outcomes Compliance Comply with and meet federal and state mandates and local board policy Conduct assessments in collaboration with others that help to identify students with communication disorders as well as to establish eligibility and inform instruction and intervention, consistent with evidence based practices Plan, conduct, and/or participate in ARD committee meetings, staffings, parent meetings, etc. Comply with and meet federal and state mandates and local board policy (i.e. activities may include individualized education program (IEP) development, Medicaid billing, report writing, and treatment plan/therapy log development Administrative/ Campus Support Support student services provided by the speech language therapist Collaborate with other professional/classroom teachers and offer assistance in addressing the linguistic and metalinguistic foundations of curriculum learning for students with disabilities Compile, maintain, and file/submit all reports, records, and other documents required Engage in continuing education experiences and professional development to enhance the skills / knowledge necessary to serve a diverse student body Supervisory Responsibilities ASHA CCC/SLP's: Supervise licensed assistants in speech-language pathology, clinical fellowship year interns, and students as needed Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Master's Degree Speech Language Pathology or related field Bachelor's Degree with TEA certification in Speech and Language Therapy or Speech and Hearing Therapy also acceptable ASHA Certification Clinical Fellowship Year and/or Master's degree with TX license accepted Valid Texas license as a Speech Pathologist granted by Texas Board of Examiners for Speech-Language Pathology or Audiology Minimum of 1 year experience as a Speech Language Pathologist in public schools preferred Must be proficient in using Windows Operating System as well as Microsoft Office applications (Microsoft Word, Excel, and PowerPoint) Must be able to effectively communicate information and ideas both verbally and in writing Must have strong organizational, communication and interpersonal skills Must be able to solve complex problems and handle stressful situations Must be able to administer, score, and interpret standardized speech assessment instruments for children Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. Additional Information This position may have exposure to bodily fluids and the employee must be capable of physically restraining students when necessary following the approved de-escalation/restraint techniques. This position requires travel to various campuses and district meeting sites. This position may be required to work some overtime as defined by the needs of the department. This position is funded by grant funds. This position may be discontinued if grant funds are no longer available. TEXAS-SUGAR LAND", "summaryDescription" : "Pathologist Speech Language. Skills: Speech Language Pathology, Individualized Education Plans, ARD meetings. Conduct evaluations to determine speech/language disability. 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"e3cabea43fcd45e10f597cbe63af3e3bdd1baaac6b3ef08f36ecafaafe9b85fa", "source" : "jazzhr", "language" : "en", "externalId" : "TQ1qqabOiE", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Exeter", "state" : "Rhode Island", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.5774793,-71.5376881" } ], "locationText" : "Exeter, Rhode Island, United States", "summaryDescription" : "English Language Arts Teacher at South County Academy", "createdAt" : "2026-06-15T22:25:22.699", "lastUpdated" : "2026-06-16T05:22:52.068", "ingestTimestamp" : "2026-06-15T22:25:22.699", "mongoId" : "6a305b29f292fd229cf5a0db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 448.41803, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b44f292fd229cf5b8b2", "title" : "Senior Account Executive, Acquisition ( Digital Native)", "company" : "MongoDB", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Account Executive in Sydney, Australia, adjusted for the technology industry and company size." }, "location" : "Sydney, New South Wales, Australia", "locations" : [ "Sydney", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T09:34:00.121", "fingerprint" : "ebe73ea966213a1a6b050b7c188647f031e75ad3380d48832392ff70268f18fb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.mongodb.com/careers/job/?gh_jid=8003451", "externalId" : "8003451", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Hunter mentality", "Pipeline building" ], "majorSkills" : "New business acquisition, Enterprise technology sales", "majorSkillsList" : [ "New business acquisition", "Enterprise technology sales" ], "coreResponsibilities" : "Win new customers, Help customers expand adoption, Engage technical stakeholders, Engage business stakeholders, Help customers move to production, Collaborate with AWS teams, Collaborate with Microsoft teams, Collaborate with Google Cloud teams, Collaborate with consulting partners, Collaborate with technology partners, Participate in AI-focused events, Participate in startup communities, Participate in ecosystem initiatives", "teamCollaboration" : "AWS teams; Microsoft teams; Google Cloud teams; Consulting partners; Technology partners; Founders; CTOs; Engineering leaders; Product teams; Developers", "domainKnowledge" : "Digital Native Businesses; AI-powered applications; Modern applications; Cloud transformation; AI adoption", "domainList" : [ "digital-native-businesses", "ai-powered-applications", "modern-applications", "cloud-transformation", "ai-adoption" ], "domainSpecificKnowledge" : [ "Digital Native Businesses", "AI-powered applications", "Modern applications", "Cloud transformation", "AI adoption" ], "communicationSkills" : "Executive communication", "qualificationsBasic" : "5+ years enterprise technology sales, New business acquisition, Quota attainment, Executive communication, Relationship-building skills", "qualificationsPreferred" : "Experience with AWS, Experience with Google Cloud, Experience with Microsoft, Experience with broader technology ecosystems, Selling into software organizations, Selling into fintech organizations, Selling into SaaS organizations, Selling into AI-native organizations, Selling into Digital Native organizations", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're looking for a Senior Account Executive, Acquisition to join our ANZ team focused exclusively on Digital Native Businesses (DNBs). This is one of the most exciting growth areas within MongoDB. You will work with some of the region's most innovative software, fintech, AI-native and technology companies, helping them build and scale modern applications on MongoDB. Your focus will be twofold: Winning new customers across the ANZ Digital Native ecosystem Helping early-stage MongoDB customers expand their adoption as they build and scale AI-powered applications This role requires a true hunter mentality combined with the ability to engage technical and business stakeholders alike. You will work closely with founders, CTOs, engineering leaders, product teams and developers, helping customers move from experimentation to production-scale applications. You will collaborate closely with AWS, Microsoft and Google Cloud teams, as well as consulting and technology partners, participating in AI-focused events, startup communities and ecosystem initiatives across the region. This is a unique opportunity to sit at the intersection of enterprise technology, venture-backed innovation and the next generation of AI-powered applications. The successful candidate will become a trusted advisor to some of the region's most innovative companies as they navigate modernization, cloud transformation and AI adoption. This role can be based out of our Sydney office. Requirements 5+ years of successful enterprise technology sales experience Proven track record of new business acquisition and quota attainment Strong executive communication and relationship-building skills Self-starter with a strong hunter mindset and passion for building pipeline Comfortable operating in fast-moving, high-growth environments Experience working with AWS, Google Cloud, Microsoft or broader technology ecosystems is highly desirable Experience selling into software, fintech, SaaS, AI-native or Digital Native organisations To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups to fertility assistance and generous parental leave policies, we value our employees’ wellbeing and support them throughout their professional and personal journeys. Learn more about what it’s like to work at MongoDB and help us make an impact on the world. MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Requisition ID 2273470199", "summaryDescription" : "Senior Account Executive, Acquisition ( Digital Native) at MongoDB. Skills: New business acquisition, Enterprise technology sales. Win new customers. Help customers expand adoption", "postedDate" : "2026-06-15T23:27:53.914", "createdAt" : "2026-06-15T23:27:53.914", "lastUpdated" : "2026-06-16T09:34:00.121", "ingestTimestamp" : "2026-06-15T23:27:53.914", "mongoId" : "6a305b44f292fd229cf5b8b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "New business acquisition", "Enterprise technology sales", "Hunter mentality", "Pipeline building", "Digital Native Businesses", "AI-powered applications", "Modern applications", "Cloud transformation", "AI adoption" ], "skillCount" : 9, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 442.18375, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf26132beec4dd3d90b551", "title" : "Speech Language Pathologist", "industry" : "Healthcare", "salary" : { "min" : 62500.0, "max" : 81500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Junior Speech Language Pathologist in Crystal River, United States, with adjustments for the healthcare industry and full-time employment." }, "location" : "United States-Florida-Crystal River", "locations" : [ "United States-Florida-Crystal River", "
TGH Crystal River (TGHCR)
6201 N Suncoast Boulevard

Crystal River, 34428

" ], "certifications" : [ "Speech-Language Pathologist Certification", "Basic Life Support (BLS)", "Certificate of Clinical Competency (CCC) Speech Pathology" ], "timestamp" : "2026-06-16T06:04:50.569", "fingerprint" : "bff7883887dd0f8233e4cdb357490029708889be1224d21fba6e98082680fd54", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=675283", "externalId" : "675283", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Crystal River", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.9024790,-82.5926012" } ], "locationText" : "Crystal River, Florida, United States", "minimumEducation" : "Master's Degree", "experienceMinYears" : 1, "professionalSkills" : [ "Speech therapy", "Patient assessment", "Treatment planning", "Therapy administration", "Progress re-assessment", "Equipment operation", "Documentation", "Schedule coordination", "Incident reporting", "Care plan collaboration" ], "hardSkillsList" : [ "Speech evaluation", "Language evaluation", "Voice evaluation", "Swallowing evaluation", "Therapy techniques" ], "hardSkills" : [ { "name" : "Speech evaluation", "level" : "intermediate" }, { "name" : "Language evaluation", "level" : "intermediate" }, { "name" : "Voice evaluation", "level" : "intermediate" }, { "name" : "Swallowing evaluation", "level" : "intermediate" }, { "name" : "Therapy techniques", "level" : "intermediate" } ], "majorSkills" : "Speech therapy, Patient assessment, Treatment planning, Documentation", "majorSkillsList" : [ "Speech therapy", "Patient assessment", "Treatment planning", "Documentation" ], "coreResponsibilities" : "Perform detailed assessments, Create tailored therapy plans, Administer therapies, exercises, and techniques, Re-assess patients' progress, Ensure safe equipment operation, Maintain precise documentation, Coordinate patient schedules, Document incidents, accidents, or concerns, Meet with healthcare professionals, Discuss patient progress, Share treatment goal information, Collaborate on care plans", "teamCollaboration" : "Collaborate with physicians; Collaborate with nurses; Collaborate with other healthcare professionals", "domainKnowledge" : "Speech therapy; Rehabilitation; Healthcare regulations", "domainList" : [ "speech-therapy", "rehabilitation", "healthcare-regulations" ], "domainSpecificKnowledge" : [ "Speech therapy", "Rehabilitation", "Healthcare regulations" ], "documentationSkills" : "Therapy documentation; Incident reporting", "qualificationsBasic" : "Master's Degree Speech and Language Pathology, Florida or Compact State Speech-Language Pathologist License, Basic Life Support (BLS), One (1) year experience in a clinical setting, Certificate of Clinical Competency (CCC) Speech Pathology", "qualificationsPreferred" : "Eligibility for CCC pending professional experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Speech Language Pathologist is responsible for the implementation of standards of care for Speech Therapy services and to evaluate, assess and treat patients’ speech, voice and language function for the purpose of rehabilitation. Essential Functions Perform detailed assessments to evaluate speech, language, communication, and swallowing disorders, gathering relevant patient information and history to inform treatment planning. Create tailored therapy plans based on the assessment results, clearly defining short- and long-term goals, and applying evidence-based strategies to promote patient progress. Appropriately administer therapies, exercises, and techniques that address the patient’s specific needs, ensuring the treatment process is safe, effective, and in line with the established plan of care. Regularly re-assess patients' progress and adjust treatment strategies or goals as necessary, ensuring continuous improvement and response to therapy. Ensure safe and competent operation of all equipment necessary for treatment, including any specialized tools, devices, or technologies used in speech therapy sessions. Show proficiency in the basic operation of all speech therapy equipment and follow facility protocols to ensure equipment is used correctly and safely. Maintain precise and complete documentation of all therapy sessions, including services rendered, progress made, and any adjustments to the treatment plan, to ensure proper billing and compliance with healthcare regulations. Coordinate patient schedules for therapy sessions, ensuring timely and efficient treatment delivery while managing any cancellations, rescheduling, or follow-up needs. Verbalize and accurately document any incidents, accidents, or concerns that arise during therapy sessions, following proper procedures to file incident reports and notify appropriate parties. Regularly meet with physicians, nurses, and other healthcare professionals to discuss patient progress, share information about treatment goals, and collaborate on care plans to ensure the holistic treatment of the patient. Education Master's Degree Speech and Language Pathology License/Registration - Issued by Florida or Compact State Speech-Language Pathologist Certification Basic Life Support (BLS) from American Red Cross (ARC) or American Heart Association (AHA) Work Experience and Additional Information One (1) year experience in a clinical setting. Certificate of Clinical Competency (CCC) Speech Pathology from the American Speech-Language and Hearing Association or eligibility for certification pending professional experience or equivalent within one year. Crystal River", "summaryDescription" : "Speech Language Pathologist. Skills: Speech therapy, Patient assessment, Treatment planning, Documentation. Perform detailed assessments. Create tailored therapy plans", "createdAt" : "2026-06-14T20:42:07.246", "lastUpdated" : "2026-06-16T06:04:50.569", "ingestTimestamp" : "2026-06-14T20:42:07.246", "mongoId" : "69cf26132beec4dd3d90b551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62500, "salaryAnnualMax" : 81500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Speech evaluation", "Language evaluation", "Voice evaluation", "Swallowing evaluation", "Therapy techniques", "Speech therapy", "Patient assessment", "Treatment planning", "Documentation", "Therapy administration", "Progress re-assessment", "Equipment operation", "Schedule coordination", "Incident reporting", "Care plan collaboration", "Rehabilitation", "Healthcare regulations", "Speech-Language Pathologist Certification", "Basic Life Support (BLS)", "Certificate of Clinical Competency (CCC) Speech Pathology" ], "skillCount" : 20, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Junior", "dataQualityScore" : 0.5555556, "_score" : 439.96976, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c948d74d8ee00a098ad6b", "title" : "World Language Teacher", "company" : "ACCEL Schools", "industry" : "Education", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Mid-level World Language Teacher in Columbus, United States, with adjustments for the Education industry and company size." }, "location" : "South Columbus Preparatory Academy - German Village", "locations" : [ "South Columbus Preparatory Academy - German Village" ], "certifications" : [ "State of Ohio teaching license" ], "timestamp" : "2026-06-15T06:50:38.287", "fingerprint" : "a7ef9c36dd2966b18757428dfe2a2b602b633fbc45666d173278cf932ecf3852", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/accelschools/jobs/7770694003", "externalId" : "7770694003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "minimumEducation" : "Bachelor's", "domainKnowledge" : "College prep program; Character education", "domainList" : [ "college-prep-program", "character-education" ], "domainSpecificKnowledge" : [ "College prep program", "Character education" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Accurate records", "specialRequirements" : "Federal criminal background checks, State criminal background checks", "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Team ACCEL Schools is hiring a highly qualified World Language Teacher at South Columbus Preparatory Academy at German Village in Columbus, Ohio dedicated to providing a superior education for all students. We are seeking teachers who are passionate and dedicated to bringing the curriculum to life for each student. We want our teachers to be excited to create a positive classroom environment that prioritizes student learning and social-emotional development. Be part of the difference at South Columbus Preparatory Academy at German Village! Founded in 2017, South Columbus Preparatory Academy at German Village is the top performing school in the neighborhood, serving students from EK-8th grade. The public charter school is located on a renovated, historic campus and provides a well-rounded, college prep program emphasizing hands-on learning and character education. South Columbus Preparatory Academy is part of ACCEL Schools, an established network of public charter schools serving K-12 students throughout the United States since 2014. About the Opportunity: Responsibilities of the Teacher include to- Prepare and deliver lesson plans with the ability to modify accordingly during the school year Differentiate instruction to meet the needs of all students Maintain accurate and complete records of students’ progress and development Utilize research-based best practices in daily planning and classroom instruction Manage student behavior in the classroom Create a positive classroom environment for students to learn in Utilize school approved curricula that reflects the diverse educational, cultural, and linguistic backgrounds of the students Implement school-wide culture expectations and norms Communicate and meet with families regarding the academic and social-emotional growth of their child Incorporate technology skills into daily classroom practice to support learning Participate in the planning and implementation of non-instructional activities, as needed Collaborate and communicate effectively with colleagues Perform other duties as assigned About You: Active and current state of Ohio teaching license in appropriate content area Bachelor’s degree in education or related field High level of comfort working in a growth-focused coaching environment based on frequent observations, debriefs, action planning, and progress monitoring Excellent written and verbal communication skills Ability to properly manage confidential information Able to supervise students of various ages in different school settings (playground, cafeteria, etc.) Ability to pass federal and state criminal background checks Experience working within an urban environment About Us “We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick and mortar, and virtual schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities. We offer the following benefits: Compensation The salary range for this position is $40,000 - 49,500. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Life benefits – time & peace of mind Paid time off Retirement contributions Optional Basic Life and AD&D insurance Voluntary life insurance (employee, spouse, child) Discounted childcare at Early Learning Academies locations Health benefits – stay well & thrive Medical, dental, and vision insurance Employee Assistance Program Voluntary short-term disability insurance Voluntary long-term disability insurance Career benefits – keep growing Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals EQUAL EMPLOYMENT OPPORTUNITY It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.", "summaryDescription" : "World Language Teacher at ACCEL Schools", "postedDate" : "2026-06-14T08:47:25.230", "createdAt" : "2026-06-14T08:47:25.230", "lastUpdated" : "2026-06-15T06:50:38.287", "ingestTimestamp" : "2026-06-14T08:47:25.230", "mongoId" : "6a2c948d74d8ee00a098ad6b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "College prep program", "Character education", "State of Ohio teaching license" ], "skillCount" : 3, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 439.9477, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a44f292fd229cf4eb42", "title" : "Senior Product Manager (AI-Native", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in Nairobi, Kenya, adjusted for the technology industry and senior experience level." }, "location" : "Nairobi", "locations" : [ "Nairobi" ], "timestamp" : "2026-06-16T05:03:40.828", "fingerprint" : "0c311d489360185c91cdb0f210c099f1e805dd507f014e0f28198b8636d3694a", "source" : "jazzhr", "language" : "en", "externalId" : "gL1fui8KFr", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nairobi", "country" : "Kenya", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-1.2890006,36.8172812" } ], "locationText" : "Nairobi, Kenya", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Focus on product strategy, Focus on roadmap, Focus on user stories, Focus on cross-functional collaboration", "summaryDescription" : "Senior Product Manager (AI-Native. Focus on product strategy. Focus on roadmap", "createdAt" : "2026-06-15T22:22:25.419", "lastUpdated" : "2026-06-16T05:03:40.828", "ingestTimestamp" : "2026-06-15T22:22:25.419", "mongoId" : "6a305a44f292fd229cf4eb42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.44444445, "_score" : 439.3858, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 1753, "totalPages" : 36, "hasNext" : true, "hasPrevious" : false } }

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