Remote Data Annotator (Full time, Remote)
Rex.zone helps candidates discover and apply to remote data annotator roles supporting modern AI/ML training pipelines. In this role, you will create labeled datasets and evaluation signals that improve training data quality and large language model performance across NLP, computer vision, and content safety workflows.

What You Will Do

Apply detailed annotation guidelines to label and review text, images, audio, and multi-turn conversations

Perform LLM evaluation and prompt evaluation (helpfulness, harmlessness, factuality, reasoning quality)

Complete RLHF-style preference labeling, rubric scoring, and critique writing to generate high-signal feedback

Run QA evaluation using sampling plans, inter-annotator agreement checks, and corrective actions

Document edge cases, ambiguity, and rationale to improve rubrics, taxonomies, and consistency

Flag dataset issues (duplicates, leakage, label noise)



and follow confidentiality/data-handling standards

Required Qualifications

Mid-to-senior experience in data annotation, data labeling, or QA evaluation

Strong guideline compliance, consistency, and written reasoning for critique-based tasks

Comfort with structured labeling tools, taxonomies, and metrics-driven remote work

Familiarity with NLP/LLM evaluation or content moderation taxonomies

Preferred

RLHF workflows, preference ranking, and rubric-based scoring experience

Computer vision annotation exposure (bounding boxes, polygons, segmentation QA)

Understanding of training data quality concepts (bias, representativeness, label noise)

Compensation
Base hourly rate: $30-$50/hr (USD), depending on project needs and qualifications.

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📌 Remote Data Annotator (British Columbia)
🏢 Rex.zone
📍 British Columbia