Mechanical Engineer - AI Training (Part Time, Freelance, Remote, 20+ openings)

Compensation

Compensation is competitive and varies based on location, education level, and prior

experience.

Role Description

In this hourly, remote contractor role, you will review AI-generated engineering solutions and/or generate expert Mechanical Engineering content, evaluating reasoning quality and step-by-step problem-solving while providing crisp written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your mechanical engineering expertise directly helps improve the world’s premier AI models by making their technical reasoning more accurate, reliable, and clearly explained.

Your Profile

Bachelor’s degree (or higher) in Mechanical Engineering, Aerospace Engineering, or Engineering Physics (Thermo/Heat Transfer/Fluids/Statics-Dynamics/Differential Equations).Strong, confident fundamentals in mechanics, thermodynamics, fluid mechanics, applied physics, engineering math, and system modeling.Comfortable evaluating technical solutions for correctness, methodology, units/dimensional consistency, assumptions, and physical plausibility with high attention to detail.Able to clearly explain reasoning and corrections in writing; Minimum C1 English proficiency.Experience applying basic design principles (requirements, constraints, margins, trade-offs) in real engineering contexts.Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.Previous experience with AI data training/annotation or technical reviewing is strongly preferred. Key Responsibilities

Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. #LI-Remote