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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)
Mathematics, numerical linear algebra, computational mechanics, computational finance
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 mathematics, applied mathematics, computational mathematics, or a closely related field
Demonstrated depth in at least two of the following subdomains: numerical linear algebra, computational mechanics, computational finance
Working proficiency in Python or R 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.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Text above is the platform's own listing, shown as published.
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