Mechanical Engineering Expert AI Evaluator

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring contractors to bring expert mechanical engineering judgment to the development of better AI systems.

Creating an OpenTrain account is free, and selected contributors can apply their professional expertise to remote projects shaping how advanced models reason about technical subjects.

• Remote contractor opportunity
• Part-time schedule of less than 20 hours per week
• Expected project duration of less than one month
• Typical start within 24 to 48 hours after onboarding

About AI Training and Technical Evaluation

AI training is the human side of building artificial intelligence. Experts review examples, write or assess responses, and provide feedback that helps models produce more accurate and useful results.

In this project, your mechanical engineering knowledge will help evaluate technical reasoning, identify errors, and refine AI performance across design, analysis, research, and development scenarios.

• Evaluate AI-generated technical responses
• Support reinforcement learning from human feedback
• Improve model accuracy and engineering reasoning
• Work remotely with a distributed team

The Role

As a Mechanical Engineering Expert, you will evaluate and solve advanced mechanical engineering problems spanning design, structural and thermal analysis, and research and development. You will apply practical engineering judgment to real-world design and analysis scenarios as well as theoretical questions.

This contractor role is designed for an experienced mechanical engineer with strong technical communication skills and the ability to assess complex work against rigorous engineering expectations.

• Role type: Contractor
• Work setting: Remote
• Experience level: Expert
• Working language: English
• Compensation range: $60 to $100 per hour, with a listed rate of $70 per hour

What You'll Do

You will review technical content, solve challenging engineering problems, and document your reasoning clearly. Your feedback will be used to inform model improvements and refine AI reasoning in mechanical engineering.

Work may involve analyzing and troubleshooting mechanical systems using industry-standard techniques, including finite element analysis, statics and dynamics, thermodynamics, and vibration analysis.

• Assess AI-generated responses for technical correctness, accuracy, and engineering quality
• Solve advanced mechanical engineering problems in design, structural analysis, thermal analysis, and R&D
• Use FEA, hand calculations, experimental validation, and other established analysis techniques
• Apply design-for-reliability practices and familiarity with relevant ASME standards and codes
• Provide clear written and verbal explanations of technical feedback
• Collaborate with remote experts and project participants

Required and Preferred Qualifications

You should have an MS or PhD in Mechanical Engineering, or a BS in Mechanical Engineering with at least eight years of relevant industry experience. At least five years of hands-on experience in mechanical design, analysis, or R&D is expected.

Professional English proficiency and exceptional written and verbal communication skills are required. Experience with FEA or simulation software, CAD platforms, or product R&D in a manufacturing environment is a plus.

• Expert knowledge of statics and dynamics, thermodynamics, FEA, and vibration or structural analysis
• Ability to analyze complex mechanical systems using finite element methods, hand calculations, and experimental validation
• Familiarity with ASME BPVC, ASME codes, and design-for-reliability practices
• Fluent English proficiency and comfort working in English
• Evidence of problem-authoring rigor is strongly preferred

Evidence of Problem-Authoring Rigor

The project strongly prefers candidates who can demonstrate rigorous technical problem development or assessment. Relevant evidence may come from academic, professional, competition, standards, or research accomplishments.

• Service on an olympiad problem committee
• Textbook problem-set or solutions-manual author credit
• Item-writer role for an NCEES or academic qualifying-exam committee
• Service on an ASME BPVC or related codes and standards committee
• Top placement or team-lead role in Formula SAE, Formula Student, ASME Student Design Competition, HPVC, NASA RASC-AL, or a DARPA challenge
• Best-paper award at ASME IMECE, IDETC, or Turbo Expo, or publication in JMPS
• ASME Melville or Blackall Medal
• NSF CAREER, DOE Early Career, ONR or AFOSR YIP, Sloan Fellowship, or ASME Fellow recognition

Compensation and Availability

Compensation is output-based, with experts paid per task that meets project specifications. The time needed for each task may vary based on experience and workflow, and minimum submission requirements apply. Experts must submit a minimum number of tasks per week.

OpenTrain typically fills roles within 48 hours and is seeking experts ready to begin promptly. If selected, you are expected to start your first tasks within 24 to 48 hours after completing onboarding.

• Expected weekly commitment: under 20 hours
• Expected project duration: under one month
• Output-based task compensation
• Immediate availability is preferred

How to Apply

Create a free OpenTrain account and apply for this Mechanical Engineering Expert opportunity. Highlight your mechanical engineering education, hands-on design or analysis experience, technical communication ability, and any evidence of rigorous problem-authoring work.

• Apply remotely through OpenTrain
• Showcase relevant mechanical engineering credentials and experience
• Be prepared to complete onboarding before starting tasks