Mercor - Generalist - Labeling, application via RippleMatch

This role is with Mercor. Mercor uses RippleMatch to find top talent. Role Overview 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 Ideal 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 More About the Opportunity Remote and asynchronous — set your own hours Expected commitment: 10–20 hours/week Flexible workload depending on your availability and performance Compensation & Contract Terms $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 How to Apply If your application moves forward on RippleMatch, you will be sent an external assessment link, which must be completed on Mercor's website After creating your Mercor profile and submitting your application, you'll complete a quick general interview. Most applicants hear back within a week of applying.