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Qa tester • amherstburg on
Remote English Language Expert - AI Trainer
SuperAnnotateAmherstburg, Ontario, CAProject Manager - Utilities Construction
Black & McDonaldON, CASenior Highway Engineer
McIntosh PerryOntario, CAJPC - 1414 - Senior Project Manager
ITS GlobalOntario- Port Moody, BC (from $ 105,750 to $ 172,500 year)
- Halifax, NS (from $ 75,282 to $ 150,150 year)
- Bradford West Gwillimbury, ON (from $ 106,848 to $ 136,580 year)
- Quinte West, ON (from $ 106,848 to $ 136,580 year)
- Old toronto, ON (from $ 97,500 to $ 136,500 year)
- Toronto, ON (from $ 95,063 to $ 136,500 year)
- Calgary, AB (from $ 78,000 to $ 132,978 year)
- North Bay, ON (from $ 107,406 to $ 131,625 year)
- Thunder Bay, ON (from $ 122,683 to $ 131,625 year)
- Richmond, BC (from $ 57,500 to $ 126,977 year)
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Remote English Language Expert - AI Trainer
SuperAnnotateAmherstburg, Ontario, CA- Full-time
- Remote
In this hourly, remote contractor role, you will review AI-generated English-language responses and / or generate expert language content, evaluating reasoning quality and step-by-step edits while providing precise, actionable feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in logic, meaning, methodology, or conceptual understanding; fact-check information when needed; write high-quality explanations and model revisions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. 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 language expertise directly helps improve the world’s premier AI models by making their outputs more accurate, natural, and clearly explained.
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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