Engineering Evaluator - Domain Expert

Mercor; San Francisco (CA); Hybrid; GBP 82,000 - 122,000; Part time

Job summary

Mercor is seeking an experienced Evaluator for engineering/manufacturing/technical operations on a contract basis. The role requires evaluating AI-generated artifacts, identifying errors, and providing structured feedback. You will work independently to meet deadlines and help improve AI model performance.

Strong English fluency and top-notch skills in MS Office and Google Workspace, especially Slides, are required. An advanced degree is preferred.

Qualifications

• 5+ years of relevant professional experience in engineering, manufacturing or technical operations.
• Native or professional fluency in English.
• High proficiency with MS Office and Google Workspace, especially Slides.

Responsibilities

• Evaluate AI-generated artifacts against domain-specific quality rubrics.
• Identify factual, aesthetic, and presentation errors.
• Provide clear, structured written feedback.
• Review AI-generated work products for accuracy and domain quality.
• Apply deep subject-matter expertise to grade outputs.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Skills

5+ years

English fluency

MS Office & Google Workspace

Education

Master's degree or higher

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

Position: Engineering / manufacturing / technical operations Evaluator
Type: Contract
Compensation: $80-$120/hour
Location: Remote

Role Responsibilities

• Evaluate AI-generated artifacts against domain-specific quality rubrics.
• Identify factual, aesthetic, and presentation errors.
• Provide clear, structured written feedback.
• Review and assess AI-generated work products for accuracy, rigor, and domain quality.
• Apply deep subject-matter expertise to grade outputs.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

• 5+ years of relevant professional experience in Engineering / manufacturing / technical operations.
• Native or professional fluency in English.
• Highly proficient in Microsoft Office and Google Workspace, especially Slides.

Preferred

• Advanced degree (Master's or higher) from a reputable institution.