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Devops engineer • joliette qc
Remote Mechanical Engineer - AI Trainer
SuperAnnotateJoliette, Quebec, CARemote Go Engineer - AI Trainer
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SuperAnnotateJoliette, Quebec, CA- Oakville, ON (from $ 150,997 to $ 171,000 year)
- White Rock, BC (from $ 152,777 to $ 170,625 year)
- Surrey, BC (from $ 102,817 to $ 168,150 year)
- Kitchener, ON (from $ 96,559 to $ 167,375 year)
- Sherwood Park, AB (from $ 151,829 to $ 165,750 year)
- Fort St. John, BC (from $ 125,000 to $ 165,263 year)
- Thunder Bay, ON (from $ 126,750 to $ 165,000 year)
- North York, ON (from $ 124,164 to $ 165,000 year)
- St. Thomas, ON (from $ 153,000 to $ 165,000 year)
- East York, ON (from $ 124,164 to $ 165,000 year)
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Remote Mechanical Engineer - AI Trainer
SuperAnnotateJoliette, Quebec, CA- Full-time
- Remote
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.