[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-stem-jobs-in-canada":3},{"Ques":4,"Slug":28,"Header":29,"job_category":51},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22,25],{"A":8,"Q":9},"Yes. This posting is for Remote, FULL_TIME roles and remains explicitly marked Remote.","Are these STEM jobs in Canada remote and full-time?",{"A":11,"Q":12},"The metadata Country field is kept unchanged per your defaults, while the page content targets the SEO intent for STEM jobs in Canada.","Why does the listing say Country: US if the keyword is STEM jobs in Canada?",{"A":14,"Q":15},"Work commonly includes ML dataset development, training data quality checks, data labeling, RLHF evaluation, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling tied to LLM training pipelines.","What kind of STEM work is included in this role?",{"A":17,"Q":18},"It is preferred but not required. Strong analytical skills, careful guideline adherence, and experience with structured evaluation or data quality practices are the core requirements.","Do I need prior RLHF or LLM evaluation experience?",{"A":20,"Q":21},"You may support NLP tasks (including named entity recognition), CV tasks (computer vision annotation), and policy-oriented tasks (content safety labeling), depending on project needs.","What domains might I support (NLP, CV, content safety)?",{"A":23,"Q":24},"Projects may come from AI labs, tech startups, annotation vendors, and BPO delivery teams that need scalable data operations and evaluation support.","What employer types use Rex.zone roles like this?",{"A":26,"Q":27},"The pay period is YEAR, with Salary Min 63360 and Salary Max 126720 in USD.","Is the salary range hourly or annual?","stem-jobs-in-canada",{"desc":30,"title":31,"content":32},"STEM jobs in Canada at Rex.zone connect engineers and technical professionals to remote, full-time roles supporting real-world AI\u002FML training workflows, including RLHF evaluation, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling. You will help improve model performance by applying annotation guidelines compliance, measuring training data quality, and contributing to large language model evaluation across NLP and CV domains. Explore and apply to Rex.zone roles used by AI labs, tech startups, annotation vendors, and BPO teams to scale safe, reliable LLM training pipelines.","STEM Jobs in Canada",[33,36,39,42,45,48],{"h2":34,"desc":35},"STEM Jobs in Canada (Remote, Full-Time) — Engineering Roles on Rex.zone","Title: STEM Jobs in Canada — Remote Full-Time Engineer\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: STEM engineering, software engineering, data analysis, machine learning, Python, cloud computing, data labeling, RLHF evaluation, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, LLM training pipelines\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR",{"h2":37,"desc":38},"What You Will Work On","You will contribute to end-to-end AI\u002FML data operations and evaluation workflows that power model training pipelines. Typical work includes creating and validating training datasets, running RLHF-style preference judgments, performing QA evaluation and prompt evaluation, and improving annotation guidelines compliance. Depending on project needs, you may support NLP tasks like named entity recognition and intent labeling, computer vision annotation such as bounding boxes and segmentation, and content safety labeling for policy compliance. Your outputs will be used to measure training data quality, diagnose failure modes, and drive model performance improvement in large language model evaluation.",{"h2":40,"desc":41},"Key Responsibilities","You will follow detailed labeling and evaluation specs, document edge cases, and provide structured feedback to improve guideline clarity. You will review and adjudicate annotations, perform spot checks, and track quality metrics to keep datasets consistent across contributors. You will collaborate with engineering and research stakeholders to align evaluation rubrics with product goals, support continuous iteration on prompts and test sets, and help maintain reliable LLM training pipelines. You will ensure sensitive-content handling and content safety labeling procedures are correctly applied and auditable.",{"h2":43,"desc":44},"Required Qualifications","Mid-Senior experience in an engineering, STEM, or technical role with strong analytical reasoning and attention to detail. Comfort working with structured data, taxonomies, and evaluation rubrics, plus the ability to interpret ambiguous language and apply consistent judgments. Familiarity with NLP, machine learning concepts, and data quality practices; ability to use Python and common tooling for dataset review. Experience with data labeling, QA evaluation, RLHF evaluation, prompt evaluation, named entity recognition, computer vision annotation, or content safety labeling is strongly preferred.",{"h2":46,"desc":47},"Preferred Qualifications","Background supporting AI labs, tech startups, annotation vendors, or BPO delivery teams. Experience building or maintaining gold sets, inter-annotator agreement processes, and systematic error analysis for large language model evaluation. Exposure to model monitoring concepts, dataset versioning, and evaluation-driven iteration for model performance improvement.",{"h2":49,"desc":50},"How to Apply on Rex.zone","Create or update your Rex.zone profile, highlight STEM engineering experience, and list any work related to data labeling, RLHF evaluation, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, or LLM training pipelines. Apply to the STEM jobs in Canada listing and include a short summary of your domain strengths (NLP, CV, content safety, or evaluation).","STEM"]