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Mindrift

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.

Physics & Python Expert - Freelance AI Trainer

Location

United States

Posted

23 days ago

Salary

$76 / hour

Seniority

Mid Level

No structured requirement data.

Job Description

Physics & Python Expert - Freelance AI Trainer

Mindrift

Role Description This opportunity involves designing computational physics problems to challenge a frontier AI model. The problem must have an answer verifiable by code and require a specialized tool like FEniCS, OpenFOAM, Meep, REBOUND, CAMB, or others. 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 physics models, integrators, Monte Carlo kernels, or PDE discretisations. - Write a Python reference solution, supply input files and domain or initial condition 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 for feedback to ensure task quality is high. Calibration requires patience. You're tuning the problem against batches of parallel runs of the agent, aiming for a pass rate in the 10–30% band. This involves rewriting field configurations, tightening initial conditions and solver parameters, and observing agent behavior. You'll gain deeper command of the anchor tool and a hands-on working intuition for how a frontier model navigates complex electromagnetic, fluid, gravitational, and cosmological problems. Qualifications - Degree in Physics (Theoretical, Experimental, or Computational) 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 physics package: FEniCS / DOLFINx, OpenFOAM, Meep, MPB, openEMS, Geant4, PYTHIA8, ROOT / PyROOT, WarpX, REBOUND, MESA, CAMB, CLASS, or bilby. - Ability to design problems that genuinely require a specialized simulation tool. - Strong written English (C1+). Requirements - No prior experience with the listed tools is required, but candidates should be ready to learn independently. Benefits - Compensation up to $76 per hour equivalent, depending on level and pace of contribution. - Compensation varies across projects based on scope, complexity, and required expertise. - Other projects on the platform may offer different earning levels based on their requirements. 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.

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