AI Jobs in India — Remote AI Data Annotation Specialist

Rex.zone

United States

On-site

USD 41,328 - 68,880

Full time

14 days+
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Job summary

A technology firm specializing in data annotation is seeking a remote AI Data Annotation Specialist. The role involves executing high-quality data labeling and annotation for NLP and computer vision datasets. Ideal candidates will have mid-senior experience, strong written English skills, and familiarity with LLM evaluation concepts. Compensation ranges from $30 to $50 per hour, depending on complexity, and the work environment requires strong QA practices and asynchronous communication.

Qualifications

  • Mid-Senior experience delivering high-precision labeling/evaluation work.
  • Strong written English and ability to follow complex rubrics.
  • Familiarity with LLM evaluation and RLHF concepts.

Responsibilities

  • Execute data labeling and annotation for NLP and computer vision datasets.
  • Perform RLHF-style preference comparisons and graded rewards.
  • Document edge cases and contribute to annotation guidelines updates.

Skills

High-precision labeling/evaluation work
Strong written English
Familiarity with LLM evaluation
Strong QA mindset
Asynchronous communication

Job description

Overview

About The Role Rex.zone is hiring remote, full-time AI Data Annotation Specialists to support LLM training pipelines through high-quality data labeling, RLHF evaluation, prompt evaluation, and QA evaluation. You will work on multimodal datasets (text and image) and deliver rubric-aligned judgments that improve training data quality and model performance.

Responsibilities
  • Execute data labeling and data annotation for NLP and computer vision datasets
  • Perform RLHF-style preference comparisons and graded reward-model judgments
  • Run prompt evaluation and response grading using detailed rubrics
  • Complete QA evaluation audits, guideline compliance checks, and rework cycles
  • Apply named entity recognition (NER), taxonomy tagging, and text classification
  • Conduct content safety labeling (policy, harm, hate, self-harm, sexual content) with escalation workflows
  • Document edge cases and contribute to annotation guidelines updates
  • Report throughput, agreement rates, and error categories to improve production quality
Qualifications
  • Mid-Senior experience delivering high-precision labeling/evaluation work
  • Strong written English and ability to follow complex rubrics
  • Familiarity with LLM evaluation, RLHF concepts, and prompt evaluation methods
  • Strong QA mindset: sampling, audits, disagreement analysis, and root-cause analysis
  • Comfort working remotely with asynchronous communication and versioned guidelines
Compensation

$30–$50 per hour (base salary, hourly). Final compensation depends on scope and evaluation complexity.

How To Apply

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