STEM Computational Problem Creation Expert

hackajob; Remote; GBP 65,000 - 85,000; Part time

Job summary

A leading AI platform partner is seeking a STEM Computational Problem Creation Expert to design deterministic computational STEM problems remotely. Ideal candidates will have an MSc or PhD in physics, applied mathematics, or engineering, alongside 5+ years in computational problem-solving and strong Python skills. Responsibilities include creating problems that simulate real scientific workflows and ensuring accuracy in outputs. This role offers flexible independent contracting arrangements and benefits from prior research or HPC experience.

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 to solve.
• Ensure each problem has one correct, reproducible output.

Skills

Strong Python skills

Numerical methods expertise

Simulation experience

Education

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

Tools

NumPy

SciPy

Pandas

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: