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

• Synthesize information from large volumes of data

• Annotate and categorize text, images, and other data according to detailed guidelines

• Apply predefined rubrics and taxonomies to produce structured, high-quality outputs

• Flag inconsistencies, ambiguities, or errors in datasets

• Contribute to the improvement of AI systems through consistent annotation work

Ideal Qualifications

• Ability to synthesize complex or high-volume information into structured formats

• Strong critical reasoning, reading comprehension, and written communication skills

• Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)

• A college degree and experience with data annotation projects

More About the Opportunity

• Expected commitment: ~20 hours/week

Application Process

• Submit your resume to begin

• Complete a Training Assessment

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.