Scientific Document Specialist

About the role

Mercor works with high-end creative and technical professionals to support major AI research labs. The company is based in San Francisco and is backed by Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position

This opening is for an Applied Sciences specialist focused on Visual Document Understanding.

Compensation and schedule

The role is a contract assignment paying $50 per hour. It is fully remote and requires a commitment of 15 to 20 hours each week.

Key responsibilities

• Assess how accurately AI-generated scientific content handles physics, chemistry, and biology, with attention to depth, reasoning, and rigor.
• Examine detailed scientific documents to confirm they follow accepted domain concepts, principles, and methods.
• Share precise, organized feedback with AI research teams so training data can be improved and model performance can be strengthened.
• Create evaluation rubrics and benchmarks for judging scientific AI tasks and solution quality.
• Partner with subject matter experts to maintain consistency, relevance, and wide coverage across datasets.
• Work autonomously and on an asynchronous schedule while meeting deadlines and helping improve model output quality.

Qualifications

• Deep knowledge in at least one of the following areas: physics, chemistry, or biology.
• Prior experience evaluating AI models.
• Strong analytical ability and problem-solving capability.

Application process

The application takes about 20 to 30 minutes and includes three steps: submitting a resume, completing an AI interview based on the resume, and filling out a form.

Resources and support

Support information and interview-platform details are available through the company’s documentation, and help requests can be sent to [email protected].

Additional information

The hiring team reviews applications every day. Candidates must complete both the AI interview and the rest of the application steps to be considered.