Scientific Computing Research Engineer at Turing

Scientific Computing / Research Engineering Expert | $300/task | Worldwide Remote | 5-Week Contract

Turing is staffing a frontier AI initiative seeking experienced Engineering experts to design and develop realistic, terminal-based scientific and technical tasks used to train and evaluate cutting-edge AI agents. This is a high-impact, short-term contract role ideal for engineers and researchers with deep computational expertise.

What You'll Do

• Design realistic, multi-step terminal tasks based on authentic 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 spanning 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 engineering correctness — including units, physical constraints, tolerances, convergence, stability, and numerical behavior.
• Debug solver, dependency, workflow, precision, and performance issues; document assumptions, requirements, expected outputs, and edge cases clearly.

What We're Looking For

• Ph.D., postdoctoral experience, or equivalent advanced technical background in an engineering discipline (mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, or control systems).
• Strong scientific programming skills in Python, C/C++, Julia, MATLAB/Octave, Bash, or a comparable language.
• Hands-on experience in Linux or terminal-based environments.
• Experience with engineering simulation, modeling, numerical analysis, optimization, signal processing, or control systems.
• Solid understanding of numerical methods, engineering units, physical constraints, boundary conditions, and technical validation.
• Ability to build, debug, and validate reproducible computational engineering workflows.

Nice to Have

• Experience with scientific libraries such as NumPy, SciPy, pandas, matplotlib, SymPy, or PyTorch.
• Familiarity with engineering tools like OpenFOAM, CalculiX, FEniCS, ROS, LTspice-compatible workflows, QEMU, or similar.
• Background in FEM, CFD, robotics, embedded systems, control systems, or digital twins.
• Familiarity with Docker, Git, CI/CD, automated testing, or HPC environments.
• Experience developing technical benchmarks, 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 in computational engineering.

Offer Details

• Commitment: At least 6 hours/day, minimum 40 hours/week, with 4-hour overlap with PST.
• Employment Type: Contractor assignment (no medical/paid leave benefits).
• Duration: 5-week contract (expected start: next week).
• Compensation: $300 per approved task.