STEM Computational Problem Creation Expert

hackajob; Remote; GBP 50,000 - 70,000; Part time

Job summary

A leading AI platform provider is seeking a STEM Computational Problem Creation Expert to design deterministic computational STEM problems for next-generation AI training. The ideal candidate will possess an MSc or PhD in related fields and have over 5 years of numerical problem-solving experience with strong Python skills. The role is remote and involves ensuring precision, correctness, and clear documentation of problem-solving workflows.

Qualifications

• Strong Python skills with libraries like NumPy, SciPy, and Pandas.
• 5+ years of relevant computational experience.
• Experience in validating numerical results.

Responsibilities

• Design and verify computational STEM problems that simulate real workflows.
• Create deterministic computational problems requiring Python.
• Document problem inputs, methods, constraints, and outputs.

Skills

Strong Python skills (NumPy, SciPy, Pandas)

5+ years of computational or numerical problem-solving experience

Experience validating numerical or algorithmic results

Education

MSc or PhD in Physics, Applied Mathematics, Engineering, or Scientific Computing

Job description

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**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: