AI Summary
Mercor is seeking an Engineering AI Evaluator to connect elite creative and technical talent with leading AI research labs. The ideal candidate will have a PhD in Engineering, deep expertise in Mechanical & Physical Systems Engineering, and significant experience using large language models.
Key Highlights
Evaluate LLM-generated responses for technical accuracy and applied reasoning
Annotate model responses by identifying strengths, areas of improvement, and inaccuracies
Assess clarity, structure, and appropriateness of explanations for different audiences
Technical Skills Required
Benefits & Perks
$73/hour
Remote work
Job Description
About The Job
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: Engineering AI Evaluator
Type: Contract
Compensation: $73/hour
Location: Remote
Role Responsibilities
- Write and refine prompts to guide model behavior in engineering scenarios.
- Evaluate LLM-generated responses to engineering-related queries for technical accuracy and applied reasoning.
- Conduct fact-checking and verify technical claims using authoritative sources and domain knowledge.
- Annotate model responses by identifying strengths, areas of improvement, and inaccuracies.
- Assess clarity, structure, and appropriateness of explanations for different audiences.
- Apply consistent evaluation standards by following taxonomies, benchmarks, and guidelines.
Must-Have
- PhD in Engineering or a closely related field.
- Deep expertise in Mechanical & Physical Systems Engineering, Electrical, Electronic & Computer Engineering, Chemical, Materials & Process Engineering, or Civil, Environmental & Infrastructure Engineering.
- Significant experience using large language models (LLMs).
- Excellent writing skills to explain complex engineering concepts.
- Strong attention to detail.
- Experience reviewing or editing technical or academic writing.
- Experience with applied research, industry engineering workflows, or systems design.
- Prior experience with RLHF, model evaluation, or data annotation work.
- Experience teaching, mentoring, or explaining engineering concepts to non-expert audiences.
- Familiarity with evaluation rubrics, benchmarks, or structured review frameworks.
- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
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