Generalist - Labeling

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 on a short-term project focused on improving preference ranking models for conversational AI systems. We’re seeking detail-oriented generalists—ideally with prior experience in data labeling or content evaluation—to assess and rank model outputs across a variety of domains. This opportunity is well-suited for professionals comfortable with nuanced judgment tasks and working independently in a remote setup. Key Responsibilities Evaluate and compare AI-generated responses based on quality, coherence, and helpfulness Assign preference rankings to pairs or sets of model outputs Follow detailed labeling guidelines and adjust based on evolving criteria Provide brief written explanations for ranking decisions when required Flag edge cases or inconsistencies in task design or model output Qualifications Prior experience in data labeling, content moderation, or preference ranking tasks Excellent critical thinking and reading comprehension skills Comfort working with evolving guidelines and ambiguity Strong attention to detail and consistency across repetitive tasks Availability for regular part-time work on a weekly basis Requirements Remote and asynchronous — set your own hours Expected commitment: 10–20 hours/week Flexible workload depending on your availability and performance Benefits $25–35/hour depending on experience and location Payments issued weekly via Stripe Connect This is a freelance engagement; you’ll be classified as an independent contractor Application Process Submit your resume to get started Complete a short form to highlight your relevant experience You may be asked to complete a brief assessment to evaluate task fit Expect a response within 3–5 business days