AI Tutor, Mechcanical Engineer Specialist (contract), Handshake AI

Handshake Technologies, Inc.

Job Overview

Location

Remote (USA)

Job Type

Contract

Full Job Description

📋 Description

• Evaluate and refine responses from advanced large language models (LLMs) specifically in the domain of mechanical engineering to ensure technical accuracy and quality.
• Design high-difficulty mechanical engineering prompts that test the reasoning limits of AI models, focusing on thermodynamics, engineering mechanics, mechanics of materials, and fluid systems.
• Identify reasoning errors, logical flaws, and failure modes in AI-generated responses to mechanical engineering problems.
• Apply adversarial prompting techniques to expose gaps in model understanding and push models beyond their known capabilities.
• Provide expert-level, detailed feedback on AI model outputs, correcting inaccuracies in equations, assumptions, units, and engineering principles.
• Collaborate with project leads to establish and maintain consistent quality standards for mechanical engineering content in AI training datasets.
• Review and validate the correctness of numerical solutions, simulation results, and design interpretations generated by AI systems.
• Contribute to the development of benchmark problems and edge-case scenarios that challenge AI models’ depth of mechanical engineering knowledge.
• Ensure technical communication in AI responses is precise, unambiguous, and aligned with standard engineering terminology and practices.
• Maintain rigorous attention to detail in assessing both conceptual understanding and computational accuracy in AI-generated content.
• Work remotely with flexible hours, contributing as much or as little as desired each week, with a maximum cap of 40 hours per week.
• No minimum weekly hour requirement; work on a project-based, as-needed basis.
• Operate independently while adhering to defined evaluation rubrics and quality control protocols established by the project team.
• Participate in periodic feedback sessions to align evaluation criteria with evolving model capabilities and domain-specific requirements.
• Maintain confidentiality of proprietary prompts, datasets, and model outputs used in AI training workflows.
• Apply domain expertise to distinguish between plausible but incorrect reasoning and truly erroneous conclusions in AI outputs.
• Translate complex mechanical engineering concepts into clear evaluation guidelines for non-expert annotators when necessary.
• Document patterns in model failures to inform future prompt design and model fine-tuning strategies.
• Ensure all evaluations reflect current industry standards and academic best practices in mechanical engineering education and application.

🎯 Requirements

• PhD or MS in Mechanical Engineering or closely related fields like civil, aerospace, structural, or chemical engineering.
• Solid understanding of mechanical engineering principles, design practices, and simulation tools.
• Prior experience with prompt engineering and stumping expert-level models (max reasoning/tokens).
• Prior experience inducing or identifying reasoning-related errors.
• Excellent attention to detail, especially in technical communication and numerical accuracy.
• Based out of the US, Canada, Mexico, UK, or Spain.

🏖️ Benefits

• Fully remote work with no requirement to relocate.
• Flexible hours — no minimum weekly commitment, capped at 40 hours per week.
• Opportunity to contribute to cutting-edge AI development in engineering education and application.
• No visa sponsorship available.

Skills & Technologies

Remote

Degree Required

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Handshake Technologies, Inc.

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About Handshake Technologies, Inc.

Handshake Technologies provides a cloud-based career-services platform that connects university students, recent graduates, and employers. The software enables institutions to manage job postings, career fairs, on-campus interviews, and employer relations while giving students tools to discover internships and entry-level roles and giving employers access to early-career talent across a network of partner colleges and universities.

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