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Developer Jobs in Quesnel, BC
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Developer • quesnel bc
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateQuesnel, British Columbia, CAFull-stack Developer
Modern Advisor Canada IncBritish Columbia, Alberta, CanadaSenior Developer (Data)
Farm Credit CanadaVarious FCC office s in British Columbia may be consideredSenior Cloud Data Engineer
Providence Health CareHybridVancouver, British Columbia, CA- Terrace, BC (from $ 43,875 to $ 320,000 year)
- Terrebonne, QC (from $ 35,588 to $ 190,000 year)
- Mont-Royal, QC (from $ 67,500 to $ 175,028 year)
- Ajax, ON (from $ 72,547 to $ 164,453 year)
- Peace River, AB (from $ 78,423 to $ 163,460 year)
- Campbell River, BC (from $ 78,423 to $ 163,460 year)
- Powell River, BC (from $ 78,423 to $ 163,460 year)
- Cole Harbour, NS (from $ 149,966 to $ 163,455 year)
- Drummondville, QC (from $ 98,473 to $ 163,056 year)
- Stony Plain, AB (from $ 88,810 to $ 162,772 year)
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Remote Senior SQL Engineer - AI Trainer
SuperAnnotateQuesnel, British Columbia, CA- Full-time
- Remote
As a Senior SQL Engineer, you will work remotely on an hourly paid basis to review AI-generated SQL queries, database designs, and data-processing logic, as well as generate high-quality reference solutions and explanations for complex data problems. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology, query structure, indexing strategy, or conceptual understanding; fact-check data-related claims; write clear, step-by-step explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness, performance, and reasoning quality.
This is a fully remote, hourly paid contractor role 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 SQL and database engineering expertise will directly contribute to improving the world’s premier AI models used across industries.
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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