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AI Science Research Fellow — Part-Time

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Rubber Group
Part Time position
Listed on 2026-09-12
Job specializations:
  • Research/Development
    AI Business & Operations, AI Evaluation, Data Scientist
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software), AI Evaluation, Data Scientist
Job Description & How to Apply Below

Date posted:
Start date:
Location: 2261 Market Street STE 96808, San Francisco, California 94114, US
Full/Part time: Part Time

  • Open Refinery is a data infrastructure company focused on improving AI for Science.
  • We aggregate real-world data from tools, experts, and operational environments, then refine them into evaluation data, training sets, and reward signals to train AI models in helping with scientific discovery.
The STEM Research Program
  • The Program is designed to help PhD Candidates and early-career researchers with improving research productivity via better AI tools and training.
What we offer
  • $2,400 annual ($200 per month) AI tool grant. Use it for Codex and Claude Code subscriptions, or any other study- or research-related tools.
  • AI research resources, tools, and workshops for better science: A hands-on workshop on practical agentic coding workflows, prompt patterns that work for research tasks, and how strong PhDs are using frontier models today. Recorded sessions, live Q&A, and office hours. Based on your own AI usage sessions, we will also provide self-improving AI agents, along with evaluation and benchmarking research results.
  • Career development opportunities. Program participants will be first in line for future opportunities with Open Refinery and our frontier AI lab partners, including but not limited to frontline project work, internships, part-time roles, and recommendation letters.
Responsibilities
What we ask
  • No need to spend extra time on evaluations or assigned tasks. Just use AI tools such as Claude Science, Claude Cowork, ChatGPT Codex, or other AI tools as you normally would in your regular work.
  • One thing:
    roughly 5-10 “traces” where AI models have failed to give you the perfect answer, or where they needed your detailed guidance to arrive at the correct answer, or anything you feel would be helpful for understanding that subject.
  • A “trace” is the raw record of a session with Codex/Claude Code: your prompts, tool calls, model outputs, and files touched. You review what already exists from real work and choose what to share.

How it works

How the data is used

  • Approved bundles are used by AI labs to evaluate and improve their models. We do not sell them to other vendors, we do not use them for advertising, and we do not publish them publicly. Any use beyond research will require new consent from you.

Current members and backers

  • PIs, PhD Candidates, postdocs, and other researchers from 30+ institutions, including Stanford, Berkeley, UCSF, MIT, Cornell, University of Wisconsin–Madison, University of Texas, ETH Zurich, National University of Singapore, The University of Sydney and more.

(Current Participants as of Jul 10, 2026)

AI for Science Workshop (hold biweekly)
  • Jul 17th, 2026:
    Overall Tools Comparison + Self-Improving AI Agent. Replay via
Requirements

PhD, PhD Candidates, Postdoc Researchers.

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