Description
Role Overview
Mercor is collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.
Key Responsibilities
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Synthesize information from large volumes of data
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Annotate and categorize text, images, and other data according to detailed guidelines
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Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
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Flag inconsistencies, ambiguities, or errors in datasets
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Contribute to the improvement of AI systems through consistent annotation work
Ideal Qualifications
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Ability to synthesize complex or high-volume information into structured formats
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Strong critical reasoning, reading comprehension, and written communication skills
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Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
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A college degree and experience with data annotation projects
More About the Opportunity
- Expected commitment: ~20 hours/week
Application Process
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Submit your resume to begin
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Complete a Training Assessment
Interested in this position?
Apply directly on the company's website