Mindrift
Mathematics&PythonExpert-FreelanceAITrainer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Mathematics & Python Expert - Freelance AI Trainer at Mindrift. Skills: Mathematics, Python, AI training. Design mathematics problems. Write Python reference solution”
What You'll Achieve.
Succeed in small number of attempts; Scores within range; Pass rate in 10-30% band
Industry & Context.
Problem design; Problem tuning
What They're Looking For.
Must Have
2+ years of research, 2+ years applied experience, 2+ years teaching experience, Python proficiency, written English (C1+)
Nice to Have
Degree in Mathematics, Degree in Applied Mathematics, Degree in related field, Fluency with Z3, Fluency with cvc5, Fluency with Macaulay2, Fluency with Singular, Fluency with CasADi, Fluency with IPOPT, Fluency with SDPB, Fluency with G6K, Fluency with fpylll, Willingness to learn Z3, Willingness to learn cvc5, Willingness to learn Macaulay2, Willingness to learn Singular, Willingness to learn CasADi, Willingness to learn IPOPT, Willingness to learn SDPB, Willingness to learn G6K, Willingness to learn fpylll, Ability to design problems, Willingness to independently learn Z3, Willingness to independently learn cvc5, Willingness to independently learn Macaulay2, Willingness to independently learn Singular, Willingness to independently learn CasADi, Willingness to independently learn IPOPT, Willingness to independently learn SDPB, Willingness to independently learn G6K, Willingness to independently learn fpylll
What You'll Do.
Design mathematics problems
Write Python reference solution
Decide numerical answer
Test problem against model
Tune problem difficulty
How You'll Work.
Team & Collaboration
Senior reviewer feedback
Communication Scope
English proficiency
Full Job Description
_**Please submit your CV in English and indicate your level of English proficiency.**_ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves** You design mathematics problems to challenge a frontier AI model. The problem must have an answer verifiable by code, and the problem has to require a specialized tool like Z3, cvc5, SageMath, Macaulay2, or others. NumPy or SymPy on their own won't cut it. Each problem runs inside a sealed Linux container with the tool pre-installed and a programmatic judge that grades the model's answer. As an expert author, you: • Pick an anchor tool and design a problem that hinges on its usage. • Write a Python reference solution, supply input files optionally where needed. • Decide the numerical answer and how close the model needs to get to count as right. • Test the problem against the model in batches of parallel attempts, tuning the problem difficulty until the agent only succeeds in a small number of attempts. • Once you're happy with the task, and it scores within range, the task goes to a senior reviewer in your subfield. They will provide feedback to ensure task quality is high. Calibration requires patience. You're tuning the problem against batches of parallel runs of the agent, aiming for a pass rate in the 10-30% band. Reaching that means rewriting, re-tightening, and watching how the agents act. You'll learn how these agents cut corners, where it stalls, where it converges. This time compounds in two directions. You come out of each task with deeper command of the anchor tool itself, and also get a hands on working intuition for how a frontier model navigates complex scientific problems. **What we look for** This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally
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