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Engineering Jobs in Sainte-Adele, QC
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Engineering • sainte adele qc
Remote Senior Finance Specialist - AI Trainer
code4Sainte-Adèle, CanadaLicaflex Packaging Chief Executive Officer
BoydenQC, CASoftware Developer
Amilia Enterprises IncGreater Montreal Area, Quebec, CanadaEngineering | Level 4 (CAD)
FX INNOVATIONRemote, QuebecBridge Engineer / Ingénieur(e) – Conception en Ouvrages d’Art
McIntosh PerryQuebec, CABi-Lingual Sales Rep - Commercial Refrigeration
MasterTechSanit-Sauveur, QC, caManufacturing Engineering Maintenance Manager
Harbour Industries CanadaQuebec, CAMechanical Engineer
SuperAnnotatePrevost, Quebec, CA- Thornhill, ON (from $ 104,004 to $ 284,923 year)
- Kapuskasing, ON (from $ 85,784 to $ 213,125 year)
- Collingwood, ON (from $ 63,472 to $ 212,419 year)
- Brossard, QC (from $ 78,907 to $ 204,321 year)
- Boucherville, QC (from $ 68,250 to $ 202,499 year)
- Hawkesbury, ON (from $ 49,688 to $ 201,303 year)
- Richmond Hill, ON (from $ 75,348 to $ 201,176 year)
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Remote Senior Finance Specialist - AI Trainer
code4Sainte-Adèle, Canada- 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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