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
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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
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
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
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
How to Apply
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If your application moves forward on RippleMatch, you will be sent an external assessment link, which must be completed on Mercor's website
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After creating your Mercor profile and submitting your application, you'll complete a quick general interview.
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Most applicants hear back within a week of applying.
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