⚙️ Scientific Computing / Research Engineering Expert | Remote

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⚙️ Scientific Computing / Research Engineering Expert | Remote 🚀 Turing is looking for Engineering experts to support a frontier AI initiative by creating realistic, terminal-based scientific and technical tasks used to train and evaluate AI agents. This role focuses on engineering workflows involving simulation, modeling, optimization, numerical analysis, data processing, debugging, and technical validation. 💼 Job Details Company: Turing Position: Scientific Computing / Research Engineering Expert — Engineering Location: Remote Employment Type: Contractor Assignment Contract Duration: 5 weeks Expected Start: Next week Commitment: Minimum 40 hours/week Daily Availability: At least 6 hours/day PST Overlap: 4 hours Payment: $300 per approved task Payment Type: Pay Per Task 🛠️ Required Skills Electrical Networks Chemistry Scientific Computing Engineering Simulation Numerical Analysis Optimization Technical Data Analysis Scientific Programming 📋 What You’ll Do Design realistic, multi-step terminal tasks based on engineering workflows Create engineering datasets, simulation inputs, geometry files, sensor data, and configuration files Develop expert solutions using Python, C/C++, Julia, MATLAB/Octave, Bash, or relevant engineering software Build reproducible, containerized engineering environments Develop tasks involving simulation, numerical analysis, optimization, control systems, signal processing, FEM concepts, CAD-related data, and engineering design Create automated tests and objective grading criteria Validate engineering correctness, units, physical constraints, tolerances, convergence, stability, and boundary conditions Debug solver, dependency, workflow, precision, and performance issues Document assumptions, requirements, expected outputs, and edge cases 🎓 Required Qualifications Ph.D., postdoctoral experience, or equivalent advanced technical experience in Engineering Strong scientific programming skills Experience with Linux or terminal-based environments Experience in engineering simulation, modeling, numerical analysis, optimization, signal processing, control systems, or technical data analysis Strong understanding of numerical methods, engineering units, physical constraints, and boundary conditions Ability to build, debug, and validate reproducible computational workflows Engineering Backgrounds Relevant disciplines include: Mechanical Engineering Electrical Engineering Chemical Engineering Aerospace Engineering Civil Engineering Materials Engineering Biomedical Engineering Robotics Control Systems Engineering ⭐ Nice to Have NumPy, SciPy, pandas, matplotlib, SymPy, or PyTorch OpenFOAM, CalculiX, FEniCS, ROS, LTspice-compatible workflows, QEMU, or similar tools Finite-Element Methods (FEM) Computational Fluid Dynamics (CFD) Robotics Embedded Systems Control Systems Digital Twins Docker, Git, CI/CD, or HPC environments Technical benchmarks and programming tasks Simulation-based evaluations or automated graders AI coding or terminal-agent evaluation experience Research software engineering experience Publications, patents, open-source contributions, or computational engineering industry experience 💻 Work Requirements Minimum 40 hours/week At least 6 hours/day 4 hours overlap with PST Comfortable working in terminal/Linux environments Ability to develop and validate technical computational workflows 💰 Payment $300 per approved task Payment is based on approved tasks completed during the project. 🚀 Project Duration The contract is expected to run for 5 weeks, with the expected start date next week. 🌍 Who Should Apply? This opportunity is suitable for advanced Engineering and Scientific Computing professionals with strong technical programming, simulation, modeling, and computational engineering experience. Apply Now