Remote STEM Data Evaluator (Contract)

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

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.