[Hiring] 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.