Stem Data Specialist - Engineering

Mercor; San Francisco (CA); Hybrid; GBP 21,000 - 82,000; Part time

Job summary

Mercor is seeking a STEM Expert for a contract, remote role based in the UK. You’ll evaluate AI-generated content in STEM fields, verify results, and provide structured feedback to research teams. The position offers flexible, part-time hours (5+ hours/week) and an hourly compensation of $20–$80.

Applications are reviewed on a rolling basis. Start dates are flexible as the project requires, with remote collaboration and asynchronous work to support model development and evaluation.

Qualifications

• Must have graduate-level training or extensive industry experience in STEM fields or related software/data science roles.
• Proficient English written skills.
• Ability to verify results against a source.

Responsibilities

• Evaluate the accuracy and depth of AI-generated content in STEM fields to strengthen reasoning and rigor in model outputs.
• Review complex scientific data for alignment with domain principles and methodologies.
• Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
• Develop evaluation rubrics and benchmarks for assessing AI-generated scientific tasks and solutions.
• Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Skills

Graduate-level training

Strong English

Source verification ability

Education

Engineering/Physics/Math/Chemistry/Software/Data Science degree

Tools

Data visualization

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: STEM Expert
Type: Contract
Compensation: $20–$80/hour
Location: Remote
Commitment: 5+ hours/week

Role Responsibilities

• Evaluate the accuracy and depth of AI-generated content in STEM fields to strengthen reasoning and rigor in model outputs.
• Review complex scientific data for alignment with domain principles and methodologies.
• Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
• Develop evaluation rubrics and benchmarks for assessing AI-generated scientific tasks and solutions.
• Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

• Graduate-level training or extensive industry experience in Engineering, Physics, Mathematics, Chemistry, or Software Engineering/Data Science.
• Strong written English skills.
• Ability to verify results against a source.

Preferred

• Experience with data and data visualization.

Start Date

• Applications reviewed on a rolling basis.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.