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Database developer • gaspe qc
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateGaspe, Quebec, CASr. SharePoint Developer
Medavie Blue CrossQuebec, CASoftware Developer
Amilia Enterprises IncGreater Montreal Area, Quebec, CanadaData integration Developer
FX INNOVATIONRemote, QuebecGestionnaire de Cas, Bilingue / Bilingual Caseworker
CencoraRemote, QuebecEHS Lean Coordinator
Harbour Industries CanadaQuebec, CA- Waterloo, ON (from $ 112,500 to $ 208,458 year)
- Markham, ON (from $ 154,091 to $ 165,053 year)
- Halifax, NS (from $ 65,000 to $ 164,940 year)
- London, ON (from $ 154,280 to $ 157,391 year)
- Calgary, AB (from $ 86,333 to $ 157,083 year)
- Victoria, BC (from $ 105,700 to $ 156,638 year)
- East York, ON (from $ 110,901 to $ 156,427 year)
- North York, ON (from $ 101,881 to $ 156,203 year)
- Windsor, ON (from $ 103,941 to $ 155,645 year)
- Toronto, ON (from $ 93,600 to $ 154,976 year)
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Remote Senior SQL Engineer - AI Trainer
SuperAnnotateGaspe, Quebec, 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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