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Cloud architect • cranbrook bc
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateCranbrook, British Columbia, CASr Software Engineer
SUSEAll, British Columbia, CanadaSenior Cloud Data Engineer
Providence Health CareHybridVancouver, British Columbia, CAAssistant Store Manager
The Sherwin-Williams CompanyCranbrook, BC, CanadaTechnology Program Manager
BCLCRemote within, BC, CA- St. Catharines, ON (from $ 155,001 to $ 266,908 year)
- St. Thomas, ON (from $ 155,001 to $ 266,908 year)
- St. Albert, AB (from $ 133,160 to $ 257,356 year)
- Red Deer, AB (from $ 104,736 to $ 228,700 year)
- Calgary, AB (from $ 124,405 to $ 228,700 year)
- Niagara Falls, ON (from $ 124,582 to $ 192,095 year)
- Markham, ON (from $ 92,830 to $ 175,500 year)
- Saint-Laurent, QC (from $ 121,929 to $ 174,765 year)
- Cote-Saint-Luc, QC (from $ 121,929 to $ 174,765 year)
- Halifax, NS (from $ 92,830 to $ 173,165 year)
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Remote Senior SQL Engineer - AI Trainer
SuperAnnotateCranbrook, 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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