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Devops engineer • miramichi nb
Remote Rust Engineer - AI Trainer
SuperAnnotateMiramichi, New Brunswick, 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 Rust Engineer - AI Trainer
SuperAnnotateMiramichi, New Brunswick, 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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