[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-developer-jobs-in-canada":3},{"Ques":4,"Slug":22,"Header":23,"job_category":36},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19],{"A":8,"Q":9},"Yes. The role on this page is explicitly marked Remote and aligned to AI developer workflows commonly associated with Canada-focused job searches.","Are these AI developer jobs in Canada remote?",{"A":11,"Q":12},"In addition to model development, the role includes LLM evaluation, prompt evaluation, RLHF feedback loops, QA evaluation, and data labeling automation that improve training data quality and model performance improvement.","What kind of AI work is included beyond model training?",{"A":14,"Q":15},"NLP (including named entity recognition), computer vision annotation support, and content safety labeling are all relevant, along with production ML engineering and MLOps.","Which domains are most relevant for this AI developer role?",{"A":17,"Q":18},"Mid-Senior level, with expectations around shipping production services, building evaluation tooling, and owning parts of ML training pipelines.","What experience level is this job posting targeting?",{"A":20,"Q":21},"Apply through Rex.zone using the AI Developer Jobs in Canada page and submit your resume plus examples of ML systems, evaluation frameworks, and deployment work.","Where do I apply for AI developer jobs in Canada on Rex.zone?","ai developer jobs in canada",{"desc":24,"title":25,"content":26},"AI Developer Jobs in Canada on Rex.zone focus on building, evaluating, and deploying AI systems used in real-world ML training pipelines—LLM applications, RLHF workflows, data labeling automation, QA evaluation, prompt evaluation, and model performance improvement. You will ship production-ready services (APIs, batch jobs, and tooling) that connect datasets, annotation guidelines compliance, and evaluation metrics to training and inference. This page is designed for candidates searching remote, full-time, contract, freelance, entry-level, and senior AI roles across NLP, computer vision, and content safety, with opportunities spanning AI labs, tech startups, and data operations vendors.","AI Developer Jobs in Canada",[27,30,33],{"h2":28,"desc":29},"AI Developer Jobs in Canada (Remote, Full-Time)","Title: AI Developer Jobs in Canada\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: AI development, machine learning, deep learning, LLMs, NLP, computer vision, RLHF, prompt evaluation, model evaluation, data labeling, training data quality, QA evaluation, MLOps, Python, PyTorch, TensorFlow, APIs, cloud deployment\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nThis role covers AI developer workstreams commonly found in Canada-focused searches, including model development, LLM integration, evaluation tooling, and ML platform engineering. You will design training and inference components, implement data-centric workflows for training data quality, and build systems that support RLHF, human-in-the-loop QA evaluation, and content safety labeling at scale.\n\nKey Responsibilities:\n- Build and maintain AI services for training and inference (batch + real-time)\n- Implement evaluation harnesses for LLM evaluation, prompt evaluation, and regression testing\n- Integrate RLHF feedback loops and human review tooling to improve model behavior\n- Develop data pipelines that support data labeling, NER, and computer vision annotation at scale\n- Define metrics for model performance improvement and monitor quality drift in production\n- Partner with annotators\u002FQA to enforce annotation guidelines compliance and resolve edge cases\n- Contribute to content safety labeling workflows (policy-based routing, moderation, and audits)\n\nPreferred Background:\n- Strong Python engineering with ML frameworks (PyTorch\u002FTensorFlow) and API development\n- Practical experience with LLM training pipelines, evaluation datasets, and prompt iteration\n- Familiarity with MLOps, CI\u002FCD, containerization, and cloud deployment patterns\n- Knowledge of NLP (NER, classification, retrieval) and\u002For CV (detection, segmentation)\n\nWhat You’ll Work On at Rex.zone:\n- Search-relevant AI developer work aligned to real employer needs across AI labs, tech startups, and vendors\n- End-to-end workflows spanning dataset curation, data labeling automation, QA evaluation, and RLHF\n- Tooling that improves annotation throughput, training data quality, and evaluation reliability\n\nHow to Apply:\n- Explore and apply on Rex.zone using the AI Developer Jobs in Canada listing\n- Prepare examples of shipped ML systems, evaluation frameworks, and production debugging",{"h2":31,"desc":32},"Workflows and Domains You May Support","Common workflows:\n- RLHF pipelines: preference data collection, ranking, reward modeling, and behavior evaluation\n- Data labeling systems: task routing, annotation interfaces, gold sets, and inter-annotator agreement\n- QA evaluation: sampling plans, failure taxonomy, rubric-based scoring, and audit trails\n- Prompt evaluation: prompt sets, adversarial testing, and safety\u002Fquality checks\n\nDomains:\n- NLP: named entity recognition, summarization quality, search relevance, and retrieval-augmented generation\n- Computer vision: object detection, segmentation, and CV annotation validation\n- Content safety: policy labeling, harm detection, and escalation workflows",{"h2":34,"desc":35},"Modifiers Covered (For Search Intent Fit)","This page targets common job modifiers and related intents:\n- Remote, full-time, contract, freelance\n- Entry-level, mid-level, senior\n- NLP, computer vision, content safety\n- AI labs, tech startups, BPOs, annotation vendors\n\nIf you are searching for AI developer jobs in Canada, use this Rex.zone page to navigate roles aligned to ML training pipelines, evaluation, and production engineering.","Engineering"]