This role is for one of our clients Compensation: $70 per hour We are hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code). We are partnering with leading AI labs on a new benchmark for scientific computing.
About the role
This role is for one of our clients
Compensation: $70 per hour
We are hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code). We are partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.
Domains — depth required in at least two subdomains (with a coding focus)
Physics — condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics
Requirements
What you'll do
Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design
Write scientific prompts based on the input
Build the grading criteria that define a correct answer
Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed
Required
PhD in physics, applied physics, or a closely related field
Demonstrated depth in at least two of the following subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics
Working proficiency in Python, R, or another relevant programming language for scientific computing
Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks
Preferred
Publications in peer-reviewed journals
Prior scientific software or research engineering experience
Engagement
Duration: 6 weeks
Commitment: part-time, 20+ hours per week
Start date: immediate
Process
Upload your resume and application form
A 25-minute conversational interview covering your background, experience, and motivations
Follow up within a few days with next steps and onboarding
Apply today and put your research expertise to work building the next generation of scientific AI. …
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