STEM Computational Problem Creation Expert

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

Job summary

A leading AI platform is seeking a STEM Computational Problem Creation Expert for a remote contract. The role involves designing, verifying, and documenting computational STEM problems that are integral for training AI systems. Candidates should possess an MSc or PhD and have extensive experience in computational problem-solving, with strong Python skills. This position offers a chance to work on precision-driven tasks in a flexible work environment.

Benefits

Flexible working hours

Remote work opportunity

Qualifications

• 5+ years of computational or numerical problem-solving experience.
• Strong Python skills are required.
• Experience validating numerical or algorithmic results.

Responsibilities

• Design and verify original computational STEM problems.
• Create deterministic computational problems requiring Python to solve.
• Document problem inputs, methods, constraints, and expected outputs.
• Ensure numerical and algorithmic correctness.

Skills

Python

Numerical methods

Simulations

Optimization

Education

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

Tools

NumPy

SciPy

Pandas

sklearn

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: