Location: Remote - United States
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
.
Location: Remote - Michigan
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
.
Location: Remote - Massachusetts
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
.
Location: Remote - Rhode Island
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
.
Location: Remote - Nevada
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
.
Location: Remote - Minnesota
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
.
Location: Remote - Wisconsin
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
.
Location: Remote - Delaware
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
.
Location: Remote - Montana
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
.
Location: Remote - Oklahoma
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
.
Location: Remote - Tennessee
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
.
Location: Remote - New Hampshire
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
.
Location: Remote - Indiana
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
.
Location: Remote - Kentucky
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
.
Location: Remote - Georgia
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 a 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
.
Location: Aya Napa, Cyprus; Larnaca, Cyprus; Limassol, Cyprus; Nicosia, Cyprus; Paphos, Cyprus; Paralimni, Cyprus
Workplace: on-site
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.
We are currently looking for a highly proactive and detail-oriented
Partnership Manager
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
Responsibilities:
Actively hunt for new business opportunities within the assigned territory, focusing on acquiring new SOHO customers
Execute structured sales roadmaps and daily/weekly field plans, ensuring maximum territory coverage
Plan and perform regular roadtrips and on-site visits to identify prospects, generate leads, and close deals
Build and maintain a strong pipeline of qualified prospects through continuous prospecting and networking
Establish and develop long-term relationships with new and existing customers
Achieve and exceed assigned sales targets, KPIs, and acquisition goals
Promote and sell the full portfolio of company products and services to both new and existing customers
Identify customer needs and provide tailored telecom solutions aligned with business requirements
Ensure consistent follow-up and conversion of leads into sales
Maintain high levels of professionalism, integrity, and customer experience during all sales interactions
Prepare and present weekly sales performance reports, pipeline status, and action plans
University Degree in a related field (Business or Marketing will be considered an advantage)
Previous experience in field sales, B2B sales, or customer acquisition roles will be considered a strong advantage
Strong hunter mindset with a proactive and results-driven approach
Ability to plan and execute structured field activity (roadmaps & roadtrips)
Excellent communication, interpersonal, and negotiation skills
Ability to manage time effectively and work independently in the field
Basic knowledge or strong interest in telecom solutions
Highly organized, resilient, and target-oriented professional
Clean driving license (company car provided)
Fluent in Greek and English
Location: Spain; Romania; Greece; Italy; Germany
Workplace: remote
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
MAIN PURPOSE OF JOB
The Polish Linguist role involves managing translation and copy-editing tasks, ensuring high-quality linguistic deliverables for assigned projects or accounts. Responsibilities include coordinating with freelancers and agencies, maintaining language resources, resolving terminology queries, and collaborating with clients and internal teams to enhance workflow efficiency.
Please note that in order to do this job is important to be located and to have the legal right to work in one of the following countries: Spain, Italy, Romania, Greece, Germany.
MAIN RESPONSABILITIES
The following is a non-exhaustive list of responsibilities and areas of ownership for this role:
Performing copy-edit tasks on assigned projects or accounts
Performing on-demand translation tasks
Performing lead support on assigned projects or accounts
Managing and maintaining the language materials (including glossaries, Style Guides, work instruction) up to the quality standards and up to date as required by the account or project
Managing project-related queries
Ensuring good interaction among team members and resolving questions on terminology and language matters
Testing and qualifying new freelancers and vendors as required
Developing and training of internal linguists and external partners according to the accounts’ and Welocalize’s needs
Interacting with clients on linguistic matters as required
Participating in the development of new and improved working processes
Meet or exceed the KPIs in terms of productivity, on time delivery, quality
Achieving the goals set by the team manager
REQUIREMENTS
Education
University degree in Translation/Applied Languages/Linguistic Studies or equivalent combination of education and experience (University degree in other fields plus 2 years of full time experience in translation; OR 5 years of full time professional experience in translating)
Experience
Native-level fluency in the Polish language
Fluency in English, both written and spoken in a variety of registers
4+ years of experience in translation/localization/editing or content writing
2+ years of review experience
Thorough understanding of the localization process.
Good user experience of standard software, such as Windows and Office applications.
Good user experience of standard CAT tools
, e.g., XTM, SDL Studio, and issue tracking and query management tools, e.g. JIRA
Ability to learn new localization tools and applications quickly.
Excellent interpersonal, written, and verbal communication skills.
Excellent knowledge of terminology used in two or more subject matters.
Ability to work with tight deadlines.
Ability to give clear, concise, and constructive feedback.
Ability to effectively present information and respond to questions from groups of managers, clients, customers, and linguists
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Ability and willingness to train/teach others and pass on knowledge.
Ability, willingness, and experience in communicating positively with customers at various levels
Ability to work within a virtual team
УдалённоRemote - United States
УдалённоRemote - Michigan
Не хотите искать каждый день?
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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