Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
AI Model Evaluator
Location
United States + 1 moreAll locations: United States, Malaysia
Posted
2 days ago
Salary
$36 / hour
Seniority
Mid Level
No structured requirement data.
Job Description
Role Description
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: AI Model Evaluator
Type: Full-time or Part-time Contract Work
Compensation: $36/hour
Location: Geography restricted to Taiwan, Malaysia, USA
Role Responsibilities
- Evaluate LLM-generated responses for effectiveness in answering user queries.
- Conduct fact-checking using trusted public sources and external tools.
- Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies.
- Assess reasoning quality, clarity, tone, and completeness of responses.
- Ensure model responses align with expected conversational behavior and system guidelines.
- Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines.
Qualifications
- Must-Have:
- Bachelor’s degree
- Native speaker or ILR 5/primary fluency (C2 on the CEFR scale) in Chinese (Mandarin)
- Significant experience using large language models (LLMs)
- Excellent writing skills
- Strong attention to detail
- Adaptable and comfortable moving across topics, domains, and customer requirements
- Background or experience in domains requiring structured analytical thinking
- Excellent college-level mathematics skills
- Preferred:
- Prior experience with RLHF, model evaluation, or data annotation work
- Experience writing or editing high-quality written content
- Experience comparing multiple outputs and making fine-grained qualitative judgments
- Familiarity with evaluation rubrics, benchmarks, or quality scoring systems
Application Process
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: Interview Process Details
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Job Requirements
- Must-Have:
- Bachelor’s degree
- Native speaker or ILR 5/primary fluency (C2 on the CEFR scale) in Chinese (Mandarin)
- Significant experience using large language models (LLMs)
- Excellent writing skills
- Strong attention to detail
- Adaptable and comfortable moving across topics, domains, and customer requirements
- Background or experience in domains requiring structured analytical thinking
- Excellent college-level mathematics skills
- Preferred:
- Prior experience with RLHF, model evaluation, or data annotation work
- Experience writing or editing high-quality written content
- Experience comparing multiple outputs and making fine-grained qualitative judgments
- Familiarity with evaluation rubrics, benchmarks, or quality scoring systems
- Application Process
- Upload resume
- AI interview based on your resume
- Submit form
- Resources & Support
- For details about the interview process and platform information, please check: Interview Process Details
- For any help or support, reach out to: support@mercor.com
- PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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