STEM Computational Problem Creation Expert

hackajob; Remote; GBP 60,000 - 80,000; Part time

Job summary

A leading AI platform partner is seeking a STEM Computational Problem Creation Expert to design deterministic computational problems used for training advanced AI systems. This remote, independent contract role requires 5+ years of computational experience and strong expertise in Python. Applicants should have a MSc or PhD in relevant fields like Physics or Applied Mathematics. A strong background in numerical methods and simulations is essential, with clear problem-solving abilities being a priority.

Qualifications

• 5+ years of computational or numerical problem-solving experience.
• Strong Python skills including NumPy, SciPy, and Pandas.
• Experience validating numerical or algorithmic results.

Responsibilities

• Design and verify original computational STEM problems.
• Create deterministic computational problems solvable with Python.
• Ensure problems have reproducible outputs and well-documented inputs.

Skills

Python

Numerical methods

Simulation

Problem-solving

Education

MSc or PhD in Physics

MSc or PhD in Applied Mathematics

MSc or PhD in Engineering

MSc or PhD in 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: