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Claims processor Jobs in Wetaskiwin, AB
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Claims processor • wetaskiwin ab
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Remote Senior Finance Specialist - AI Trainer
SuperAnnotateWetaskiwin, Alberta, CASenior Liability Adjuster
Crawford & CompanyAB, CA- Winnipeg, MB (from $ 40,516 to $ 150,000 year)
- High Level, AB (from $ 97,500 to $ 150,000 year)
- Toronto, ON (from $ 37,752 to $ 97,500 year)
- Ottawa, ON (from $ 32,175 to $ 97,500 year)
- St. John's, NL (from $ 40,326 to $ 97,500 year)
- Old toronto, ON (from $ 41,439 to $ 97,500 year)
- Halifax, NS (from $ 30,547 to $ 57,954 year)
- Montreal, QC (from $ 55,720 to $ 57,439 year)
- Montreal-Ouest, QC (from $ 55,720 to $ 57,439 year)
- London, ON (from $ 42,900 to $ 57,397 year)
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Remote Senior Finance Specialist - AI Trainer
SuperAnnotateWetaskiwin, Alberta, CA- Full-time
- Remote
In this hourly, remote contractor role, you will review AI-generated finance analyses and / or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, 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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