<strong>About The Job<br><br></strong><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.<br><br><strong>Position:</strong> Data Annotation Specialist<br><br><strong>Type:</strong> <strong>Contract<br><br></strong><strong>Compensation:</strong> <strong>$23–$30/hour<br><br></strong><strong>Commitment:</strong> <strong>20 hours/week<br><br></strong><strong>Role Responsibilities<br><br></strong><ul><li>Synthesize information from large volumes of data to enhance AI model performance.</li><li>Annotate and categorize text, images, and other data according to detailed guidelines.</li><li>Apply predefined rubrics and taxonomies to produce structured, high-quality outputs.</li><li>Flag inconsistencies, ambiguities, or errors in datasets to improve data quality.</li><li>Contribute to the improvement of AI systems through consistent annotation work.<br><br><br></li></ul><strong>Qualifications<br><br></strong><strong>Must-Have<br><br></strong><ul><li>Ability to synthesize complex or high-volume information into structured formats.</li><li>Strong critical reasoning, reading comprehension, and written communication skills.</li><li>A college degree and experience with data annotation projects.<br><br><br></li></ul><strong>Preferred<br><br></strong><ul><li>Prior experience applying rubrics, taxonomies, or standardized guidelines.<br><br><br></li></ul><strong>Application Process (Takes 20–30 mins to complete)<br><br></strong><ul><li>Submit your resume to begin.</li><li>Complete a Training Assessment.<br><br><br></li></ul><strong>Resources & Support<br><br></strong><ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>For any help or support, reach out to: [email protected]<br><br><br></li></ul><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</em>