Data Annotation Specialist
Job in
Augusta, Richmond County, Georgia, 30910, USA
Listed on 2026-05-31
Listing for:
Innodata Inc.
Full Time, Part Time
position Listed on 2026-05-31
Job specializations:
-
IT/Tech
AI Engineer, Data Scientist, Data Analyst, Artificial Intelligence
Job Description & How to Apply Below
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 impacton 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.
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.
- 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.
- High School Diploma or higher
- Strong analytical and comprehension skills
- Interest in AI, language, or content evaluation
- Ability to work independently in a remote setup
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