Mechanical Engineer with Python Experience - Freelance AI Trainer
You may be asked to design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Freelance AI Trainer - Civil Engineering & Python
Design technically rigorous civil engineering problems grounded in practice. Evaluate AI solutions for engineering accuracy and assumptions. Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs. Improve AI reasoning to align with codes, standards, and professional logic. Apply structured scoring criteria to assess model performance.
Electrical Engineer with Python Experience - Freelance AI Trainer
The role involves designing rigorous electrical engineering problems that reflect professional practice, evaluating AI solutions for correctness, assumptions, and constraints, validating calculations or simulations using Python libraries such as NumPy, Pandas, and SciPy, improving AI reasoning to align with industry-standard logic, and applying structured scoring criteria to multi-step problems. The focus is on technical evaluation and problem design rather than software development or data labeling.
Electrical Engineer with Python Experience - Freelance AI Trainer
Design rigorous electrical engineering problems reflecting professional practice. Evaluate AI solutions for correctness, assumptions, and constraints. Validate calculations or simulations using Python (NumPy, Pandas, SciPy). Improve AI reasoning to align with industry-standard logic. Apply structured scoring criteria to multi-step problems.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Design graduate- and industry-level mechanical engineering problems grounded in real practice. Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). Improve AI reasoning to align with first principles and accepted engineering standards. Apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Design graduate- and industry-level mechanical engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Mechanical Engineers with strong Python skills are required to train and evaluate AI models on complex, real-world mechanical engineering problems. Responsibilities include designing graduate- and industry-level mechanical engineering problems grounded in real practice, evaluating AI-generated solutions for correctness, assumptions, and engineering logic, validating analytical or numerical results using Python (NumPy, SciPy, Pandas), improving AI reasoning to align with first principles and accepted engineering standards, and applying structured scoring criteria to assess multi-step problem solving.
Freelance AI Trainer - Civil Engineering & Python
Design technically rigorous civil engineering problems grounded in practice. Evaluate AI solutions for engineering accuracy and assumptions. Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs. Improve AI reasoning to align with codes, standards, and professional logic. Apply structured scoring criteria to assess model performance.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Design graduate- and industry-level mechanical engineering problems grounded in real practice. Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). Improve AI reasoning to align with first principles and accepted engineering standards. Apply structured scoring criteria to assess multi-step problem solving.
Electrical Engineer with Python Experience - Freelance AI Trainer
Design rigorous electrical engineering problems reflecting professional practice. Evaluate AI solutions for correctness, assumptions, and constraints. Validate calculations or simulations using Python (NumPy, Pandas, SciPy). Improve AI reasoning to align with industry-standard logic. Apply structured scoring criteria to multi-step problems.
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