AI Trainer Jobs

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Contributors may design graduate- and industry-level automotive 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.

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Contributors may design graduate- and industry-level automotive 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.

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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.

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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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Using experience with LMMS, the candidate will create tool-related questions and review AI-generated responses for accuracy and relevance to real-world music production and beat-making workflows. The role involves evaluating AI-generated content and providing feedback to help AI better understand music tasks and creative production workflows. The work is flexible, hourly contract-based, and can be done alongside other activities, with no minimum hour requirement.

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Write the playbook for onboarding and educating customers onto Sierra’s Agent SDK and Agent Studio no-code platform. Lead the creation and execution of developer training and enablement programs. Build scalable content including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption. Develop and deploy AI Agents as an Agent Software Engineer to build expertise in agent development. Collaborate with marketing teams to publish developer case studies and success stories to inspire and connect the technical community.

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Write the playbook for onboarding and educating customers onto Sierra, including the Agent SDK and Agent Studio no-code platform. Lead the creation and execution of developer training and enablement programs. Build scalable content such as technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption. Develop and deploy AI Agents as an Agent Software Engineer, building expertise in agent development. Collaborate with marketing teams to publish developer case studies and success stories to inspire and connect the technical community.

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Write the playbook for onboarding and educating external agent engineers to Sierra’s Agent SDK. Develop and deploy AI Agents as an Agent Software Engineer, building expertise in agent development. Lead the creation and execution of external developer training and enablement programs. Build infrastructure and content that scales, including technical documentation, onboarding paths, and hands-on repositories for SDK adoption. Collaborate with marketing teams to publish developer case studies and success stories to inspire and connect the technical community.