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Mechanical engineering Jobs in Lavaltrie, QC
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Mechanical engineering • lavaltrie qc
Remote Mechanical Engineer - AI Trainer
SuperAnnotateRepentigny, Quebec, CAfitter-assembler, structural metal
Les Entreprises Daniel Goyette IncLanoraie, QC, CARide attendant supervisor
Rétro FuturRepentigny, QC, CALicaflex Packaging Chief Executive Officer
BoydenQC, CAmechanical engineering design technologist
Comptoir Agricole Ste-Anne Inc.Repentigny, QC, CAmechanical assembler
RiegoSaint-Thomas, QC, CAindustrial mechanic
NorteraSaint-Denis-sur-Richelieu, QC, CAEngineering | Level 4 (CAD)
FX INNOVATIONRemote, QuebecMécanicien Maintenance Petits Moteur
AerotekRepentigny,QC,CanadaBridge Engineer / Ingénieur(e) – Conception en Ouvrages d’Art
McIntosh PerryQuebec, CAbus driver
Transdev Québec Inc.Repentigny, QC, CAManufacturing Engineering Maintenance Manager
Harbour Industries CanadaQuebec, CAMechanic
OcéanIsle-aux-Coudres, CAPopular searches
Remote Mechanical Engineer - AI Trainer
SuperAnnotateRepentigny, Quebec, CA- Full-time
- Remote
In this hourly, remote contractor role, you will review AI-generated engineering solutions and / or generate expert Mechanical Engineering content, evaluating reasoning quality and step-by-step problem-solving while providing crisp written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check 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 mechanical engineering expertise directly helps improve the world’s premier AI models by making their technical 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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