Scientific Computing / Research Engineering Expert — Engineering

This contract role turns real engineering work into terminal-based tasks that are used to train and test AI agents. It suits engineers with a PhD or postdoctoral background who write scientific code and work comfortably in Linux. The work supports a frontier AI project and draws on fields including mechanical, electrical, chemical, aerospace, civil, materials, biomedical and robotics engineering.

What you'll do

• Build multi-step command-line tasks based on genuine simulation, optimization and data-processing work
• Prepare supporting material such as datasets, sensor readings, geometry and configuration files
• Write reference solutions in Python, C/C++, Julia, MATLAB/Octave or Bash, packaged in reproducible containers
• Create automated graders that check units, tolerances, convergence and physical limits, and document assumptions and edge cases

What you'll need

• A Ph.D., postdoctoral experience or comparable advanced experience in an engineering discipline
• Strong scientific programming skills and hands-on Linux experience
• A solid grounding in numerical methods, modeling, simulation and technical validation
• Helpful extras: NumPy, SciPy, OpenFOAM, FEniCS, ROS, Docker, Git, or experience with FEM, CFD or benchmark design

Good to know

• Remote contractor engagement lasting 5 weeks, expected to start next week
• No medical cover or paid leave
• At least 40 hours a week and 6 hours a day, with 4 hours overlapping Pacific Time
• Pay is $300 for each approved task