STEM Data Specialist - Engineering

Mercor; New York (NY); Remote; USD 57,308,000 - 229,233,000; Part time

Job summary

Mercor is seeking a STEM Expert on a contract basis to evaluate AI-generated content in STEM fields, review complex scientific data, and provide structured feedback to AI teams to improve model performance.

The role requires graduate-level training in a STEM field, strong English writing skills, and the ability to verify results against sources. This is a remote, part-time commitment of 5+ hours per week.

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.

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

Education

Graduate-level STEM training

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.