About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Role

We are partnering with a small, specialized AI research lab focused on AI for STEM and scientific research.

We are looking for one Fellow per STEM field to help create a new benchmark for evaluating how well frontier AI models perform real scientific research.

The standout part of this opportunity: the benchmark will be released publicly with a research paper and open evaluation set, and Fellows will be named lead / first authors.

CONTRACT: Research fellowship / contractor

LOCATIONS: Remote, global

COMMITMENT: Flexible hours

COMPENSATION: $30–$80/hour

PROCESS: Application → research review → interview

Fields: Biology, Medicine, Neuroscience, Materials Science, Chemistry, Physics, Mechanical Engineering, Chemical Engineering.

Responsibilities

• Validate AI-generated paper reproductions, simulations, and research results.
• Map key research areas and taxonomy within your field.
• Define what “good research” looks like for AI systems.
• Create benchmark tasks and evaluation standards for frontier models.
• Contribute directly to the benchmark paper and public eval release.

Requirements

• Current PhD student or postdoc in a relevant STEM field.
• Based at a strong research university or institute.
• At least one published paper in your field.
• Able to critically review research and identify methodological or technical errors.
• Currently using AI for Science in your own research.
• Significant hands-on use of tools such as Claude Code, Codex, or similar AI agents.

Benefits

• Be a lead / first author on a public benchmark paper.
• Help create one of the first research benchmarks in your scientific field.
• Work directly with a niche AI research lab and frontier AI researchers.
• Flexible remote work designed around academic commitments.