Remote STEM AI Quality Assessor (Contract)

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

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