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 is project-based, not permanent employment.

Responsibilities

• 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. They will provide feedback to ensure task quality is high.

Qualifications

• Degree in Material Science or related field.
• 2+ years of research, applied, or teaching experience.
• Python proficiency for writing reference solutions.
• Fluency with (or strong willingness to independently learn) at least one scriptable package: ObsPy, instaseis, pyrocko, MITgcm, xmitgcm, flopy/MODFLOW, or GeoPandas.
• Ability to design problems that genuinely require a specialized solver.
• Strong written English (C1+).

No prior experience with the listed tools? You’re still welcome to apply — as long as you’re ready to get up to speed on your own and hit the ground running.

Workload

For this project, tasks are estimated to require around 10‑20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $45 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.