STEM Jobs in Canada — Remote Full-Time Engineer

STEM Jobs in Canada (Remote, Full-Time) — Engineering Roles on Rex.zone

Rex.zone connects engineers and technical professionals to remote, full-time roles supporting real-world AI/ML training workflows, including RLHF evaluation, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling.

What You Will Work On

Create, validate, and improve training datasets used in LLM training pipelines
Run RLHF-style preference judgments and structured LLM evaluations
Perform QA evaluation and prompt evaluation; diagnose failure modes and improve model performance
Support NLP tasks (e.g., named entity recognition) and CV tasks (e.g., bounding boxes/segmentation) as needed
Apply content safety labeling and sensitive-content handling procedures

Key Responsibilities

Follow detailed labeling/evaluation specs and document edge cases
Review/adjudicate annotations, run spot checks, and track quality metrics
Collaborate with engineering/research stakeholders to align evaluation rubrics with product goals
Iterate on prompts, test sets, and guideline clarity to maintain reliable, auditable pipelines

Required Qualifications

Mid-Senior experience in an engineering, STEM, or technical role
Strong analytical reasoning, attention to detail, and guideline adherence
Comfort with structured data, taxonomies, and evaluation rubrics
Familiarity with NLP/ML concepts and data quality practices; ability to use Python for dataset review

Preferred

Experience with RLHF evaluation, data labeling, QA evaluation, prompt evaluation, NER, CV annotation, or content safety labeling
Exposure to gold sets, inter-annotator agreement, error analysis, dataset versioning, and evaluation-driven iteration

How To Apply

Create or update your Rex.zone profile, highlight relevant STEM experience, and apply with a short summary of your domain strengths (NLP, CV, content safety, or evaluation).
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