About Rex.zone Rex.zone is hiring Toronto-based candidates for full time remote data annotation and data labeling work that improves training data quality for AI/ML systems. You will support real-world LLM training pipelines through evaluation, QA, and careful rubric-driven judgments.
About Rex.zone Rex.zone is hiring Toronto-based candidates for full-time remote data annotation and data labeling work that improves training data quality for AI/ML systems. You will support real-world LLM training pipelines through evaluation, QA, and careful rubric-driven judgments.
About The Role As a Remote Data Annotator, you will create and evaluate labeled datasets used in large language model evaluation, RLHF workflows, NLP tasks (e.g., named entity recognition), computer vision annotation, and content safety labeling. You will follow strict annotation guidelines compliance, document edge cases, and collaborate asynchronously to improve model performance outcomes.
Key Responsibilities Produce high-accuracy data labeling for text, image, and mixed-modality tasks
Execute RLHF comparisons, preference judgments, response scoring, and rationale capture
Perform prompt evaluation and rubric grading for helpfulness, correctness, and policy adherence
Complete NLP annotations such as named entity recognition, classification, and entity linking using defined ontologies




Support computer vision annotation including bounding boxes, polygons, segmentation masks, and attribute tagging
Conduct content safety labeling across harassment, self-harm, sexual content, violence, and sensitive traits
Run QA evaluation using gold sets, spot checks, reviewer audits, inter-annotator agreement, and defect taxonomies
Report ambiguous examples, escape edge cases, and propose guideline clarifications to reduce label noise
Required Qualifications Mid-Senior experience in data annotation, data labeling, QA evaluation, or LLM evaluation
Ability to interpret detailed rubrics and maintain consistent decision-making
Strong written communication for edge-case documentation and rationale writing
Comfort working with structured taxonomies (NER, content safety, prompt evaluation)
Reliability in meeting throughput and quality targets in a remote environment
Tools & Quality Standards You will work in web-based labeling platforms and evaluation consoles using versioned guidelines and task queues. Quality is measured through sampling, consensus review, inter-annotator agreement checks, and defect tagging. You must be able to handle potentially sensitive content and follow confidentiality requirements.

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📌 Remote Data Annotator Jobs Toronto (Manitoba)
🏢 Rex.zone
📍 Manitoba