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Claims analyst Jobs in Williams Lake, BC
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Claims analyst • williams lake bc
Remote Senior Finance Specialist - AI Trainer
SuperAnnotateWilliams Lake, British Columbia, CACommercial Account Executive
Hub InternationalWilliams Lake, BC- Promoted
Automotive Estimator
Craftsman Collision 1981 LTDWilliams Lake, BC, CanadaSenior Liability Adjuster
Crawford & CompanyBC, CASenior Programmer Analyst
BCLCRemote within, BC, CA- Brampton, ON (from $ 40,911 to $ 162,250 year)
- North York, ON (from $ 51,521 to $ 146,250 year)
- Toronto, ON (from $ 57,010 to $ 146,250 year)
- North Bay, ON (from $ 129,893 to $ 146,250 year)
- Old toronto, ON (from $ 51,542 to $ 137,414 year)
- Winnipeg, MB (from $ 86,656 to $ 136,875 year)
- Markham, ON (from $ 57,888 to $ 124,842 year)
- Vaughan, ON (from $ 77,803 to $ 122,182 year)
- St. John's, NL (from $ 57,058 to $ 118,569 year)
- Regina, SK (from $ 34,850 to $ 114,318 year)
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Remote Senior Finance Specialist - AI Trainer
SuperAnnotateWilliams Lake, British Columbia, 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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