Generalist Data Annotation Expert

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Role Description

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. This engagement is expected to run through the end of October, with the possibility of extension until the end of the year. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.

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

Qualifications

Based in the United States

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)

Requirements

Remote and asynchronous: contractors set their own schedules

Expected commitment: ~20 hours/week

Project duration: through the end of October, with potential to extend through year-end

Benefits

$45/hour for U.S.-based contractors

Payments issued weekly via Stripe Connect

Contractors are classified as independent service providers

Application Process

Submit your resume to begin

Complete a Training Assessment

Typical response time: 1–2 business days