Generalist Data Annotation Expert

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. 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