Materials Engineer & Python Expert – Freelance AI Trainer

Please submit your CV in English and indicate your level of English proficiency

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems

Participation isproject-based, not permanent employment

What this opportunity involves You design computational material science problems to challenge a frontier AI model

The problem must have an answer verifiable by code, and the problem has to require a specialized tool like ObsPy, instaseis, pyrocko, MITgcm, flopy/MODFLOW, or others

Generic data wrangling around synthesised toy data won’t cut it

Each problem runs inside a sealed Linux container with the tool pre-installed and a programmatic judge that grades the model’s answer

As an expert author, you: Pick an anchor tool and design a problem that hinges on its waveform-processing kernels, geophysical inversion routines, sub-surface flow solvers, or community-validated data pipelines

Write a Python reference solution, supply input files and model or domain definitions where needed

Decide the numerical answer and how close the model needs to get — with a domain-appropriate tolerance — to count as right

Test the problem against the model in batches of parallel attempts, tuning the problem difficulty until the agent only succeeds in a small number of attempts

Once you’re happy with the task, and it scores within range, the task goes to a senior reviewer in your subfield