Senior Data Labeling Specialist Vancouver

Senior Data Labeling Specialist Vancouver

05 Aug
|
Rex.zone
|
Vancouver

05 Aug

Rex.zone

Vancouver

Senior Data Labeling Specialist (Vancouver) — Remote (Full time) Senior data labeling roles power AI/ML training workflows by producing high-quality training data for LLMs and computer vision models through data annotation, RLHF preference ranking, QA evaluation, and guideline-driven review across real production pipelines.

About The Role You will lead and execute senior-level data labeling and review work that improves model performance for large language models and vision systems. You will annotate and audit datasets, run QA evaluation against annotation guidelines, perform RLHF preference ranking for response quality, and deliver structured feedback to improve training data quality.

Work includes prompt evaluation, named entity recognition, content safety labeling, and computer vision annotation (bounding boxes, polygons, segmentation) depending on project needs.

What You Will Do
Own end-to-end labeling execution, quality auditing, and escalation handling for ambiguous edge cases in NLP and CV tasks
Apply taxonomy definitions, maintain decision logs, and measure inter-annotator agreement
Support RLHF and evaluation pipelines by ranking outputs,



identifying failure modes, and tagging safety/policy violations
Help define gold-standard sets, build rubrics for QA evaluation, and improve guideline compliance across distributed teams
Collaborate with engineers and model stakeholders to resolve ambiguity and calibrate decisions

Requirements
Robust experience in data labeling/data annotation with documented QA evaluation responsibility
Ability to interpret complex annotation guidelines and apply consistent judgment at high throughput
Familiarity with RLHF, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling
Comfort working independently in a remote setting and communicating edge cases clearly

How To Apply Apply via Rex.zone and include examples of guideline interpretation, QA outcomes, and any RLHF or prompt evaluation work. Highlight domains (NLP, computer vision, content safety) and any metrics (agreement rates, defect reductions, throughput vs. quality targets).

📌 Senior Data Labeling Specialist Vancouver
🏢 Rex.zone
📍 Vancouver

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