Remote Data Labeling Jobs in Miami

Rex.zone; Miami (FL); Remote; USD 41,000 - 69,000; Full time

Job summary

Rex.zone is seeking full-time remote data labeling specialists to support AI/ML training data creation, including LLM evaluation and RLHF workflows. This Miami-friendly role is open to US-based candidates and offers hourly compensation.

Responsibilities include labeling text, NLP annotation, image/video labeling, and safety categorization, with QA checks and clear rationales to improve data quality.

Qualifications

• Mid-to-senior experience in data labeling/data annotation, QA evaluation, or trust & safety operations.
• Strong English comprehension and high attention to detail for rubric-based judgments.
• Ability to follow detailed annotation guidelines and compliance standards.
• Comfort using web-based labeling tools, review dashboards, and spreadsheets.
• Ability to document edge cases, elevate conflicts, and incorporate reviewer feedback.

Responsibilities

• Label and evaluate text and chat data for large language model evaluation, including preference ranking and rubric-based grading.
• Perform named entity recognition (NER) and other NLP annotation tasks (classification, summarization, sentiment/toxicity).
• Annotate images/video for computer vision annotation (bounding boxes, polygons, keypoints, attribute tagging).
• Complete content safety labeling for moderation categories (hate, harassment, self-harm, sexual content, violence).
• Run QA evaluation checks, flag ambiguous items, and suggest guideline clarifications to improve consistency and training data quality.
• Contribute to RLHF by producing high-signal comparisons and clear rationales.

Skills

Data labeling

QA evaluation

NLP annotation

Attention to detail

Tools

Labeling tools

Spreadsheets

Job description

Overview

Rex.zone is hiring for full-time remote data labeling roles (Miami talent welcome) focused on producing high-quality training data for AI/ML systems, including LLM evaluation and RLHF workflows.

What You Will Do

• Label and evaluate text and chat data for large language model evaluation, including preference ranking and rubric-based grading
• Perform named entity recognition (NER) and other NLP annotation tasks (classification, summarization, sentiment/toxicity)
• Annotate images/video for computer vision annotation (bounding boxes, polygons, keypoints, attribute tagging)
• Complete content safety labeling for moderation categories (hate, harassment, self-harm, sexual content, violence)
• Run QA evaluation checks, flag ambiguous items, and suggest guideline clarifications to improve consistency and training data quality
• Contribute to RLHF by producing high-signal comparisons and clear rationales

Requirements

• Mid-to-senior experience in data labeling/data annotation, QA evaluation, or trust & safety operations
• Strong English comprehension and high attention to detail for rubric-based judgments
• Ability to follow detailed annotation guidelines compliance standards and maintain consistency
• Comfort using web-based labeling tools, review dashboards, and spreadsheets
• Ability to document edge cases, elevate conflicts, and incorporate reviewer feedback

Work Arrangement

Remote (US). Miami is included as a location modifier to help local candidates find fully remote opportunities.

Employment Type

Full-time

Pay

$30-50 per hour