AI Training Data Annotator (NLP/CV) - Remote

Rex.zone; Phoenix (AZ); Remote; USD 42,000 - 64,000; Full time

Job summary

Rex.zone is seeking a remote data annotator in Phoenix to produce high-quality training data for AI systems across NLP and computer vision. You will label text and image data, and participate in RLHF-style evaluations to help improve model outputs.

This full-time remote role welcomes US-based candidates, with a focus on accuracy, consistency, and adherence to annotation guidelines. Strong English skills and detail orientation are essential.

Qualifications

• Must have strong written English and attention to detail.
• Ability to follow complex guidelines and self-audit for accuracy.
• Experience with data labeling tools or QA processes is a plus.

Responsibilities

• Label data for NLP tasks including classification, NER, sentiment, and toxicity.
• Evaluate LLM outputs for relevance, factuality, completeness, and safety.
• Rank model outputs using RLHF-style preference comparisons.
• Annotate CV data with bounding boxes, polygons, keypoints, and segmentation.
• Conduct QA evaluations, audits, and support calibration sessions.
• Document edge cases and help maintain annotation guidelines.

Skills

Strong written English

Attention to detail

Ability to follow guidelines

Job description

Rex.zone is seeking a remote data annotator in Phoenix to produce high-quality training data for AI systems across NLP and computer vision. You will label text and image data, and participate in RLHF-style evaluations to help improve model outputs.

This full-time remote role welcomes US-based candidates, with a focus on accuracy, consistency, and adherence to annotation guidelines. Strong English skills and detail orientation are essential.