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Electronics engineer Jobs in Whistler, BC
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Electronics engineer • whistler bc
Remote Mechanical Engineer - AI Trainer
SuperAnnotateWhistler, British Columbia, CAMaintenance Power Engineers - 3rd Class
Sofina FoodsBritish Columbia, CanadaMedical Laboratory Technologist (Core Lab)- Regular Full Time
PHSAWhistler, British ColumbiaSr Software Engineer
SUSEAll, British Columbia, CanadaSenior Cloud Data Engineer
Providence Health CareHybridVancouver, British Columbia, CA- Chatham-Kent, ON (from $ 138,675 to $ 197,708 year)
- Oakville, ON (from $ 75,231 to $ 193,246 year)
- Sault Ste. Marie, ON (from $ 112,250 to $ 176,956 year)
- Chilliwack, BC (from $ 172,069 to $ 174,376 year)
- Conception Bay South, NL (from $ 126,773 to $ 174,376 year)
- Thunder Bay, ON (from $ 98,386 to $ 156,935 year)
- Glace Bay, NS (from $ 98,386 to $ 156,935 year)
- Newmarket, ON (from $ 75,000 to $ 153,805 year)
- The Pas, MB (from $ 54,883 to $ 153,651 year)
- Victoria, BC (from $ 83,216 to $ 152,764 year)
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Remote Mechanical Engineer - AI Trainer
SuperAnnotateWhistler, British Columbia, 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.
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