About the role

Turing is staffing a frontier AI initiative requiring strong Engineering experts to develop realistic, terminal-based scientific and technical tasks used to train and evaluate AI agents.

Translate authentic engineering workflows into reproducible computational tasks that test modeling, simulation, optimization, data processing, debugging and technical validation. Disciplines include mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics and control systems engineering.

Scope of Work

• Design realistic, multi-step terminal tasks based on real-world engineering and scientific workflows.
• Create engineering datasets, simulation inputs, geometry files, sensor data, design constraints and configuration files.
• Develop expert solutions using Python, C/C++, Julia, MATLAB/Octave, Bash or relevant engineering software.
• Build reproducible, containerized environments with appropriate engineering tools and pinned dependencies.
• Develop tasks involving simulation, numerical analysis, optimization, control systems, signal processing, finite-element concepts, CAD-related data and engineering design.
• Create automated tests and objective grading criteria validating units, physical constraints, tolerances, convergence, stability, boundary conditions and numerical behavior.
• Debug solver, dependency, workflow, precision and performance issues. Clearly document assumptions, requirements, expected outputs and edge cases.

What you’ll bring

• Ph.D., postdoctoral experience or equivalent advanced technical experience in mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, control systems or another Engineering discipline.
• Strong scientific programming skills in Python, C/C++, Julia, MATLAB/Octave, Bash or another relevant language.
• Hands-on experience working in Linux or terminal-based environments.
• Experience with engineering simulation, modeling, numerical analysis, optimization, signal processing, control systems or technical data analysis.
• Strong understanding of numerical methods, engineering units, physical constraints, boundary conditions and technical validation.
• Ability to build, debug and validate reproducible computational engineering workflows.
• Available at least 6 hours per day and 40 hours per week, with 4 hours of overlap with PST.

Preferred Qualifications

• Experience with NumPy, SciPy, pandas, matplotlib, SymPy or PyTorch.
• Familiarity with OpenFOAM, CalculiX, FEniCS, ROS, LTspice-compatible workflows, QEMU or similar software.
• Experience with finite-element methods (FEM), computational fluid dynamics (CFD), robotics, embedded systems, control systems or digital twins.
• Familiarity with Docker, Git, CI/CD, automated testing or HPC environments.
• Experience developing technical benchmarks, programming tasks, simulation-based evaluations or automated graders.
• Experience evaluating AI coding or terminal agents or working in research software engineering.
• Publications, patents, open-source contributions or industry experience involving computational engineering.

Benefits

Not provided in the source listing.

Schedule and availability

At least 6 hours per day and a minimum of 40 hours per week, including 4 hours of overlap with PST.

Contract & Payment Terms

• Contractor assignment with no medical benefits or paid leave.
• Expected contract duration: 5 weeks.
• The supplied posting describes the expected start as next week; confirm the current start date with Turing.
• Payment is per approved task at $300 USD.

Where you can work

Remote work is specified; eligible countries are not listed. Confirm location eligibility with Turing.

Country eligibility has not been provided. Confirm with the employer.

Remote does not always mean work from any country. Always check the employer’s location and working-hour requirements.