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AI Jobs in India — Remote AI Data Annotation Specialist

Remote · USA Full-time New today

• *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.

  • *What You Will Do
  • 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
  • *What We Are Looking For
  • 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**

Apply via Rex.zone and share relevant labeling, evaluation, and QA experience. Apply tot his job Apply To this Job

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