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Net developer • lacombe ab
Remote C# Software Engineer - AI Trainer
SuperAnnotateLacombe, Alberta, CAPrimary Care Paramedic
Alberta Health ServicesLacombe, Central ZoneSharePoint Developer - Remote
Randstad CanadaLacombe, Alberta, CA- Kitchener, ON (from $ 82,888 to $ 187,650 year)
- Regina, SK (from $ 91,875 to $ 185,250 year)
- Saint John, NB (from $ 70,000 to $ 165,435 year)
- Thunder Bay, ON (from $ 105,000 to $ 158,817 year)
- Halifax, NS (from $ 118,219 to $ 155,678 year)
- Waterloo, ON (from $ 82,015 to $ 155,631 year)
- Etobicoke, ON (from $ 92,500 to $ 155,341 year)
- Old toronto, ON (from $ 100,181 to $ 155,276 year)
- Prince George, BC (from $ 100,103 to $ 155,201 year)
- Maple Ridge, BC (from $ 104,250 to $ 155,135 year)
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Remote C# Software Engineer - AI Trainer
SuperAnnotateLacombe, Alberta, CA- Full-time
- Remote
This is an hourly-paid, fully remote contractor role where you will review AI-generated responses and / or generate C# / .NET engineering content, evaluating reasoning quality and step-by-step problem-solving. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical claims; and rate / compare multiple responses based on correctness and reasoning quality. You will also produce high-quality explanations and model solutions that demonstrate correct methods and clear communication. 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 directly helps improve the world’s premier AI models.
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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