Generalist - Labeling
1 week ago
1. 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.
2. Key Responsibilities
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Evaluate and compare AI-generated responses based on quality, coherence, and helpfulness
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Assign preference rankings to pairs or sets of model outputs
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Follow detailed labeling guidelines and adjust based on evolving criteria
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Provide brief written explanations for ranking decisions when required
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Flag edge cases or inconsistencies in task design or model output
3. Ideal Qualifications
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Prior experience in data labeling, content moderation, or preference ranking tasks
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Excellent critical thinking and reading comprehension skills
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Comfort working with evolving guidelines and ambiguity
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Strong attention to detail and consistency across repetitive tasks
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Availability for regular part-time work on a weekly basis
4. More About the Opportunity
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Remote and asynchronous — set your own hours
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Expected commitment: 10–20 hours/week
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Flexible workload depending on your availability and performance
5. Compensation & Contract Terms
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$25–35/hour depending on experience and location
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Payments issued weekly via Stripe Connect
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This is a freelance engagement; you'll be classified as an independent contractor
6. Application Process
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Submit your resume to get started
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Complete a short form to highlight your relevant experience
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You may be asked to complete a brief assessment to evaluate task fit
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Expect a response within 3–5 business days
7. About Mercor
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Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations
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Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey
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Thousands of professionals across law, engineering, research, and creative fields collaborate on contract-based projects shaping the future of AI
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