STEM Computational Problem Creation Expert
STEM Computational Problem Creation Expert (Remote, Contract)
Independant 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.
What You'll Do
You'll design and verify original computational STEM problems that simulate real scientific and engineering workflows.
Your responsibilities include:
- 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.
Example Problem Types
- 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.
Ideal Background
MSc or PhD in:
- Physics
- Applied Mathematics
- Engineering
- Scientific Computing
5+ years of computational or numerical problem-solving experience
Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant)
Experience validating numerical or algorithmic results
Strong bonus if you have:
- Research or post-doctoral experience
- HPC or simulation-heavy work
- Experience designing benchmarks, problem sets, or verification frameworks