Stem Data Specialist - Engineering

Mercor; England; Remote; GBP 21,000 - 83,000; Part time

Job summary

Mercor is seeking a Remote STEM Expert contractor to assess AI-generated content in STEM fields, verify data against sources, and provide structured feedback to AI research teams. The role emphasizes independent, asynchronous work and collaboration with subject matter experts to improve training data quality and model performance.

The ideal candidate holds graduate-level training in engineering, physics, mathematics, chemistry, or software/data science and demonstrates strong written English

Qualifications

• Graduate-level training in Engineering, Physics, Mathematics, Chemistry, or Software Engineering/Data Science.
• Strong written English skills.
• Ability to verify results against a source.
• Experience with data visualization (preferred).

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

English proficiency

Result verification

Data visualization experience

Education

Graduate-level training in Engineering, Physics, Mathematics, Chemistry, or Software Eng/Data Science

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.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

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.