Data Labeling Jobs in India (Remote, Full-Time)

Rex.zone; United States; Remote; USD 41,000 - 69,000; Full time

Job summary

Rex.zone is hiring for remote, full-time data labeling roles supporting production AI/ML systems. You will create high-quality training data across text, images, audio, and video, including LLM evaluation, RLHF preference ranking, content safety labeling, named entity recognition, and computer vision annotation.

You will work remotely from the United States, following task-specific guidelines, and contribute to model performance through meticulous labeling, QA checks, and documentation of edge

Qualifications

• Experience in data labeling/data annotation or QA evaluation.
• Strong written English and consistent rubric adherence.
• Comfort with structured guidelines and frequent policy updates.
• High attention to detail and integrity in labeling.

Responsibilities

• Label text, image, audio, and video data per task-specific annotation guidelines
• Perform LLM evaluation: rating, ranking, and rationale writing
• Execute RLHF workflows (preference comparisons, instruction-following checks)
• Conduct QA evaluation (self-checks, peer reviews, gold-set calibration)
• Tag entities/relationships for NLP tasks like NER and classification
• Annotate computer vision data (boxes, polygons, segmentation masks, keypoints)
• Apply content safety labeling for policy compliance
• Document edge cases and propose rubric clarifications

Skills

Data labeling

QA evaluation

Written English

Job description

About The Role

Rex.zone is hiring for remote, full-time data labeling roles supporting production AI/ML systems. You will create high-quality training data across text, images, audio, and video, including LLM evaluation, RLHF preference ranking, content safety labeling, named entity recognition, and computer vision annotation. This work directly impacts training data quality and model performance improvement.

About The Role

Rex.zone is hiring for remote, full-time data labeling roles supporting production AI/ML systems. You will create high-quality training data across text, images, audio, and video, including LLM evaluation, RLHF preference ranking, content safety labeling, named entity recognition, and computer vision annotation. This work directly impacts training data quality and model performance improvement.

What You Will Do

• Label text, image, audio, and video data per task-specific annotation guidelines
• Perform LLM evaluation: rating, ranking, and rationale writing
• Execute RLHF workflows (preference comparisons, instruction-following checks)
• Conduct QA evaluation (self-checks, peer reviews, gold-set calibration)
• Tag entities/relationships for NLP tasks like NER and classification
• Annotate computer vision data (boxes, polygons, segmentation masks, keypoints)
• Apply content safety labeling for policy compliance
• Document edge cases and propose rubric clarifications

You Are a Good Fit If You Have

• Experience in data labeling/data annotation or QA evaluation
• Strong written English and consistent rubric adherence
• Comfort with structured guidelines and frequent policy updates
• High attention to detail and integrity in labeling

Pay

Competitive hourly rate: $30–$50/hr (USD).