Remote Mechanical Engineer - AI Trainer

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. 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. 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. Create a job alert for this search

Mechanical Engineer • Keizer, Oregon, US

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