Conduct and validate AI-generated paper reproductions, simulations, and research results. Map research areas, define standards for high-quality scientific research, and create benchmark tasks and evaluation criteria for frontier AI models. Fellows will contribute to a publicly released benchmark paper and open evaluation set as lead or first authors. The role is a flexible, remote research fellowship designed for current STEM PhD students and postdocs.
About Gramian
Requirements
Benefits
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.
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