STEM Computational Problem Creation Expert

STEM Computational Problem Creation Expert (Remote, Contract)

In dependant contract | Flexible | Remote

hackajob is partnering with a leading AI platform to support the development of advanced AI evaluation and training datasets.

We’re onboarding senior STEM experts to design fully deterministic, computationally intensive STEM problems used to train and evaluate next-generation AI systems.

You’ll design and verify original computational STEM problems that simulate real scientific and engineering workflows.

• Creating deterministic computational problems that require Python to solve
• Ensuring each problem has one correct, reproducible output
• Implementing and validating Python reference solutions
• Clearly documenting:
• Inputs
• Methods
• Constraints
• Expected outputs
• Verifying numerical and algorithmic correctness

This role is ideal for professionals who enjoy numerical methods, simulations, optimization, and exact problem-solving.

• Numerical integration with fixed boundary conditions
• Deterministic Monte Carlo simulations (fixed seeds)
• Combinatorial or graph enumeration
• Optimization problems with a unique global optimum
• Physics or engineering simulations with fully specified parameters

This role is about precision, determinism, and verification.

• MSc or PhD in:
• Physics
• Applied Mathematics
• Engineering
• Scientific Computing

5+ years of computational or numerical problem-solving experience

Strong Python skills (Num Py, Sci Py, Pandas; sklearn where relevant)

Experience validating numerical or algorithmic results

• Research or post-doctoral experience
• HPC or simulation-heavy work
  ** Utility functions
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  The problem statement maybe from another source. Let's guess: