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STEM Computational Problem Creation Expert
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STEM Computational Problem Creation Expert
Job summary
A leading AI platform partner seeks a STEM Computational Problem Creation Expert to design and verify original computational STEM problems. Responsibilities include creating deterministic problems requiring Python, implementing reference solutions, and documenting processes. Ideal candidates will have an MSc or PhD in a STEM field and at least 5 years of relevant experience. This remote contract role offers flexible working arrangements for professionals passionate about precise problem-solving.
Qualifications
- 5+ years of computational or numerical problem-solving experience.
- Experience validating numerical or algorithmic results.
Responsibilities
- Design and verify original computational STEM problems.
- Create deterministic computational problems that require Python.
- Implement and validate Python reference solutions.
- Document inputs, methods, constraints, and outputs.
Skills
Education
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.
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 (NumPy, SciPy, Pandas; sklearn where relevant)
Experience validating numerical or algorithmic results
- Research or post-doctoral experience
- HPC or simulation-heavy work**Utility functions** We are given two anyone?…????..???.. We need..??……… This…..? ...….. ...??? ?????…..?……?…..… Scrolling? Wait. The prompt incomplete? maybe incorrectly parsed. Let's open alc court? : The problem statement maybe from another source. Let's guess:
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.