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Devops • milton on
Remote Bash / PowerShell Engineer - AI Trainer
SuperAnnotateMilton, Ontario, CASr Manager - IT Delivery
McKesson2300 Meadowvale Blvd, CAN, ON, MississaugaDevOps Engineer Co-op
Procor LimitedOntario, CAAnalytics Insights Engineer II
Meloche Monnex Inc.Burlington, OntarioSenior Full Stack Developer (Java, Angular)
0000050007 Royal Bank of CanadaMEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR : MISSISSAUGA- L'Ancienne-Lorette, QC (from $ 137,719 to $ 190,000 year)
- Brossard, QC (from $ 103,750 to $ 185,250 year)
- Sault Ste. Marie, ON (from $ 118,000 to $ 181,500 year)
- Thunder Bay, ON (from $ 126,750 to $ 175,598 year)
- Glace Bay, NS (from $ 126,750 to $ 175,598 year)
- Oakville, ON (from $ 134,400 to $ 170,000 year)
- North Bay, ON (from $ 126,750 to $ 168,420 year)
- Kitchener, ON (from $ 119,220 to $ 167,500 year)
- St. Thomas, ON (from $ 153,000 to $ 165,000 year)
- East York, ON (from $ 121,659 to $ 165,000 year)
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Remote Bash / PowerShell Engineer - AI Trainer
SuperAnnotateMilton, Ontario, CA- Full-time
- Remote
As a remote, hourly paid Bash / PowerShell Engineer, you will review AI-generated responses and generate high-quality automation-focused content, evaluating the reasoning quality and step-by-step problem-solving behind scripts and troubleshooting workflows. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in logic, safety, or portability; fact-check technical details; write expert-level explanations and model solutions that demonstrate correct scripting patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract 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, directly helping to improve the world’s premier AI models.
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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