Partner Sales Manager, Five9
As an AI Quality Assurance Intern, you will execute structured test plans for AI Agent implementations, validate that intents, entities, and workflows trigger correctly, identify behavioral inconsistencies, misclassifications, or hallucinations, review and validate AI-generated suggestions, summaries, and classifications, provide actionable feedback to improve intent models and redaction/PII handling, run bias, redaction, and transcription accuracy checks, spot patterns or emerging issues across test sets, and contribute ideas for improving internal QA processes and tools. You will help ensure the AI systems act as intended, follow correct business logic, and provide accurate and safe outputs to end users.
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.
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.
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.
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.
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.
Freelance AI Trainer - Civil Engineering & Python
The responsibilities include designing technically rigorous civil engineering problems grounded in practice, evaluating AI solutions for engineering accuracy and assumptions, using Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs, improving AI reasoning to align with codes, standards, and professional logic, and applying structured scoring criteria to assess model performance.
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.
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