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Electrical apprentice Jobs in Sainte-Adele, QC
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Electrical apprentice • sainte adele qc
Remote Senior C Engineer - AI Trainer
SuperAnnotatePrevost, Quebec, CABridge Engineer / Ingénieur(e) – Conception en Ouvrages d’Art
McIntosh PerryQuebec, CAManufacturing Engineering Maintenance Manager
Harbour Industries CanadaQuebec, CA- Sudbury, ON (from $ 52,094 to $ 166,647 year)
- Edson, AB (from $ 108,989 to $ 110,158 year)
- Fredericton, NB (from $ 63,779 to $ 101,996 year)
- New Westminster, BC (from $ 59,496 to $ 93,568 year)
- New Glasgow, NS (from $ 59,496 to $ 93,568 year)
- Owen Sound, ON (from $ 49,823 to $ 85,829 year)
- Parry Sound, ON (from $ 49,823 to $ 85,829 year)
- Sydney, NS (from $ 85,138 to $ 85,708 year)
- Swift Current, SK (from $ 46,410 to $ 85,543 year)
- North Sydney, NS (from $ 44,850 to $ 85,138 year)
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Remote Senior C Engineer - AI Trainer
SuperAnnotatePrevost, Quebec, CA- Full-time
- Remote
As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality.
This fully remote, hourly paid contractor role is with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.
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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