Contribute your expertise to the frontier of AI.
Join a community of domain experts and researchers focused on making AI more safe, capable, and aligned.
The path to solving many of the world’s most important problems is bottlenecked by human effort. AI has the potential to change that by greatly accelerating the rate of progress in engineering and science. Faster paths to new medicines. Better materials. Cleaner energy. Stronger cybersecurity. The upside of getting this right is enormous.
We create reinforcement learning environments and tasks that teach agents how to perform better on long-running, autonomous workflows in engineering and science. Fellows are expected to bring their domain expertise—no previous AI experience is necessary.
Join a global network of paid, remote fellows across science and engineering. Together, we identify gaps in current AI models and teach them how to improve. We work directly with leading model labs to push the frontier of AI capabilities. Wherever you are in the world, your work can have a direct impact on the future of AI.
Yes, we pay top-of-market rates.
Between 5 and 40 hours per week, depending on the project needs. Fellows get to choose how the work fits into their schedules.
The role is fully remote.
Yes, Anthology Fellows is designed to work well for people who have other time commitments.
Yes. Top contributors may be offered a full-time position at Polymath.
Anthology Fellows is currently invite-only. If you’re interested but have not yet received an invite, please submit your resume here, and we’ll reach out if there’s a fit.
The interview process has only one stage: a relaxed AI voice interview, around 20 minutes, where we discuss your background and go through some technical questions related to your field. No preparation is necessary to succeed in the interview.
No previous experience with training models or reinforcement learning is necessary.
Polymath is an applied research lab focused on creating data and RL environments for training models to perform better at engineering and science. We work with the leading AI labs to push the frontier of AI capabilities. Polymath is backed by Base10, Founders Future, Y Combinator, and other exceptional investors.
Fellows are paid hourly, up to a maximum number of hours per accepted RL environment / task.