Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: 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. Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Materials Engineer & Python Expert
Location
Italy
Posted
4 days ago
Salary
$45 / hour
Seniority
Mid Level
Job Description
Materials Engineer & Python Expert
Mindrift
Role Description This opportunity involves designing computational material science problems to challenge a frontier AI model. The problem must have an answer verifiable by code and require a specialized tool like ObsPy, instaseis, pyrocko, MITgcm, flopy/MODFLOW, or others. Generic data wrangling around synthesized toy data won't suffice. Each problem runs inside a sealed Linux container with the tool pre-installed and a programmatic judge that grades the model's answer. - 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 satisfied with the task, submit it for review to a senior reviewer in your subfield for feedback to ensure task quality is high. - Calibration requires patience, tuning the problem against batches of parallel runs of the agent, aiming for a pass rate in the 10–30% band. - Learn how agents cut corners, where a simulation stalls, and how flow or inversion models converge. 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+). Requirements - 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. Benefits - For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. - Compensation can be up to $45 per hour equivalent, depending on level and pace of contribution. - Compensation varies across projects depending on scope, complexity, and required expertise.
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