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Biomedical engineer Jobs in Sylvan Lake, AB
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Biomedical engineer • sylvan lake ab
Remote Rust Engineer - AI Trainer
SuperAnnotateSylvan Lake, Alberta, CA- Salmon Arm, BC (from $ 58,886 to $ 235,000 year)
- Niagara Falls, ON (from $ 41,366 to $ 194,036 year)
- Laval, QC (from $ 29,250 to $ 161,860 year)
- Edmonton, AB (from $ 95,590 to $ 156,849 year)
- King City, ON (from $ 38,361 to $ 156,579 year)
- New Westminster, BC (from $ 36,311 to $ 156,531 year)
- New Glasgow, NS (from $ 36,311 to $ 156,531 year)
- Newmarket, ON (from $ 69,994 to $ 152,271 year)
- Kawartha Lakes, ON (from $ 94,107 to $ 147,500 year)
- Mississauga, ON (from $ 56,704 to $ 146,655 year)
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Remote Rust Engineer - AI Trainer
SuperAnnotateSylvan Lake, Alberta, CA- Full-time
- Remote
As an hourly paid, fully remote Rust Engineer for AI Data Training, you will review AI-generated Rust code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, safety, and adherence to the prompt; identify errors in ownership, borrowing, lifetimes, or algorithmic reasoning; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns; and rate and compare multiple AI responses based on correctness and reasoning quality.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs. Your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.
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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