⚙️ Scientific Computing / Research Engineering Expert — Engineering | Remote

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⚙️ Scientific Computing / Research Engineering Expert — Engineering | Remote 🚀 Turing is staffing a frontier AI initiative seeking experienced Engineering experts to develop realistic, terminal-based scientific and technical tasks used to train and evaluate AI agents. The project covers multiple engineering disciplines, including mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, and control systems engineering. 💵 Payment: $300 per approved task 💼 Job Details 🌍 Work Type: Remote 👨‍💻 Employment: Contractor Assignment ⏳ Contract Duration: 5 weeks 🕐 Commitment: Minimum 40 hours/week ⏰ Daily Requirement: At least 6 hours/day 🌎 Time Overlap: 4 hours with PST 📅 Expected Start: Next week 💵 Payment: $300 per approved task 🔬 What You'll Do Selected experts will: Design realistic, multi-step engineering tasks Create engineering datasets, simulation inputs, geometry files, sensor data, and configuration files Develop solutions using Python, C/C++, Julia, MATLAB/Octave, Bash, or relevant engineering software Build reproducible and containerized engineering environments Create tasks involving simulation, numerical analysis, optimization, control systems, signal processing, CAD-related data, and engineering design Develop automated tests and objective grading criteria Validate 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 🎓 Requirements Candidates should have: ✔️ Ph.D., postdoctoral experience, or equivalent advanced technical experience in an engineering discipline such as: ⚙️ Mechanical Engineering ⚡ Electrical Engineering 🧪 Chemical Engineering ✈️ Aerospace Engineering 🏗️ Civil Engineering 🧱 Materials Engineering 🧬 Biomedical Engineering 🤖 Robotics 🎛️ Control Systems Engineering ✔️ Strong programming skills in Python, C/C++, Julia, MATLAB/Octave, Bash, or another relevant language ✔️ Experience working in Linux/terminal 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, and technical validation 🛠️ Nice to Have Experience with: NumPy • SciPy • pandas • matplotlib • SymPy • PyTorch Familiarity with: OpenFOAM • CalculiX • FEniCS • ROS • LTspice-compatible workflows • QEMU Additional experience in FEM, CFD, robotics, embedded systems, control systems, digital twins, Docker, Git, CI/CD, automated testing, or HPC is a plus. ⭐ Experience developing technical benchmarks, simulation-based evaluations, automated graders, or evaluating AI coding/terminal agents is also valuable. 📢 Who Should Apply? This opportunity is designed for advanced engineering professionals with strong computational, programming, simulation, and technical validation experience. Apply Now