AI Annotation Specialist
Innodata Inc. · North Carolina, United States
- Hybrid
- Part-time
- $9 / year
- North Carolina, United States
Job highlights
- Contribute to cutting-edge AI and LLM development.
- Work remotely on a flexible, part-time basis.
- Annotate and evaluate AI model performance.
- Shape the intelligence behind future technology.
- Join a global contributor community.
About the role
About Innodata Inc.
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.
Salary
The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications.
Important Notice Regarding Recruitment Scams
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.
Key skills/competency
- AI Model Evaluation
- Data Annotation
- Machine Learning Data
- Content Labeling
- Generative AI
- Large Language Models (LLMs)
- Subject Matter Expert
- Prompt Engineering
- Data Transformation
- Language Proficiency
Skills & topics
- AI Annotation
- Data Annotator
- Generative AI
- LLM
- Machine Learning
- Content Labeling
- Remote
- Part-time
- English Proficiency
- AI Evaluation
How to get hired
- Tailor your resume: Highlight your language skills and any experience with AI, data annotation, or content evaluation.
- Showcase your expertise: Emphasize your professional or expert-level English proficiency (C1/C2).
- Understand the role: Clearly articulate your understanding of AI model evaluation and data labeling in your application.
- Be vigilant against scams: Innodata will never ask for payment or sensitive information during the application process.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the AI Annotation Specialist role at Innodata Inc.?
- The AI Annotation Specialist role at Innodata Inc. involves contributing to the development of generative AI and large language models (LLMs) by rating AI model performance, labeling content, and creating training data. It's a part-time, remote, flexible opportunity.
- What qualifications are required for the AI Annotation Specialist position?
- To be considered for the AI Annotation Specialist role at Innodata Inc., you need a High School Diploma or higher and professional or expert-level proficiency (C1/C2) in English.
- Is the AI Annotation Specialist role at Innodata Inc. a full-time position?
- No, the AI Annotation Specialist role at Innodata Inc. is not a traditional full-time role. It is a part-time, remote, flexible, and project-specific opportunity.
- How does Innodata Inc. ensure data and AI systems are trustworthy?
- Innodata Inc. enables the responsible advancement of artificial intelligence by providing the necessary data, evaluation frameworks, and human expertise to build AI systems that can be trusted at scale.
- What kind of tasks will an AI Annotation Specialist perform at Innodata Inc.?
- As an AI Annotation Specialist, you will rate AI model performance, label content elements, evaluate content quality, generate training data, review data for feature functionality, and identify specific content types, among other tasks.
- What is the hourly salary for an AI Annotation Specialist at Innodata Inc.?
- The expected hourly salary for an AI Annotation Specialist at Innodata Inc. is $9 per hour, based on experience, skills, and qualifications.
- How can I identify and report recruitment scams related to Innodata Inc.?
- Be aware that Innodata Inc. will never ask for payment or sensitive personal information. If you suspect a scam, report it to Innodata at verifyjoboffer@innodata.com and the FTC at ReportFraud.ftc.gov.
- What does 'Subject Matter Expert (SME) on Demand' mean for this role at Innodata Inc.?
- The 'Subject Matter Expert (SME) on Demand' program at Innodata Inc. signifies that you will be part of a global contributor community providing specialized human expertise for AI development projects, on a flexible, as-needed basis.