Devops Jobs in Stratford, ON
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Devops • stratford on
Last updated: 14 days ago
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 pro...Show moreLast updated: 14 days ago
We are growing our capabilities across Atlantic Canada and are seeking a Senior Full Stack Developer with 6+ years of backend development experience to join our team.
This is a permanent, full-time ...Show moreLast updated: 30+ days ago
Come join a team where People make the difference!As a part of Marmon Holdings, Inc.Under close supervision, designs, develops, modifies, debugs and evaluates programs for functional areas, includi...Show moreLast updated: 30+ days ago
Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
Work with peers and customers to support mortgage systems and ensu...Show moreLast updated: 19 days ago
Remote Bash / PowerShell Engineer - AI Trainer
SuperAnnotateStratford, Ontario, CARemote
Full-time
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ScotiabankStratford, ON, CAFull-time
- 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)
Remote Bash / PowerShell Engineer - AI Trainer
SuperAnnotateStratford, Ontario, CA14 days ago
Job type
- Full-time
- Remote
Job descriptionExpert-level proficiency in Bash and / or PowerShell scripting. 2–3+ years of hands-on experience in at least one of Bash or PowerShell. Strong experience writing, debugging, and maintaining shell or object-based automation scripts. Ability to evaluate scripts for correctness, readability, safety, performance, and portability across environments. Professional experience in software engineering, DevOps, IT automation, or infrastructure-focused roles. Minimum Bachelor’s degree in Computer Science or a closely related technical field. Significant experience using large language models (LLMs) while coding, troubleshooting, and reviewing scripts. Excellent English writing skills with the ability to document and explain complex automation clearly. Highly preferred : For Bash, strong comfort with awk, sed, and grep; for PowerShell, experience with PowerShell Core, DSC, and Azure PowerShell modules. Preferred : Merged PRs in CLI, DevOps, or infrastructure-related open-source projects; familiarity with CI pipelines, automation workflows, or cloud scripting; previous AI data training or model evaluation work strongly preferred and Minimum C1 English proficiency.
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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