Senior Full-Stack Engineer, Annotation Platform

Toronto, Ontario

On-site

Full-time

No salary posted3 days ago

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Employment type: Full-time · On-site
Posted: November 10, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 33/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to …

This role is based in Ontario. Cohere is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Senior Full-Stack Engineer, Annotation Platform in Ontario

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NOC code

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Typical qualifications for Canadian employers

Senior-level experience in full-stack engineering
Experience building enterprise-scale applications
Strong understanding of AI/ML systems and annotation workflows
Proficiency in modern frontend and backend technologies
Experience with security-first development practices

Fit check

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What you'll do

Design and develop annotation platform features
Build scalable full-stack solutions for AI model training
Contribute to end-to-end product development
Work on frontier AI model deployment and training systems
Ensure security and quality standards across the platform
Collaborate on solving real-world business problems with AI

What you'll need

Senior-level experience in full-stack engineering
Experience building enterprise-scale applications
Strong understanding of AI/ML systems and annotation workflows
Proficiency in modern frontend and backend technologies
Experience with security-first development practices
Ability to contribute to architectural decisions