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Rex.zone
Posted 176 days agoVerified live 20h ago

AI Training Jobs in India

Brief overview

Remote
$30–$50/hrStated range
Data labelingQA evaluationRLHFLLM evaluationStrong written EnglishNLP concepts (NER, classification)Computer vision annotationAnnotation guidelines complianceContent safety labelingInter-annotator agreement analysis

About the company

RemoExperts (by Abaka AI) is a global platform where skilled professionals and tutors contribute to AI training across video, image, audio, text, code, math, and more.

Job description

Summary

Rex.zone is hiring a Remote, Full-Time AI Training Specialist to support production AI training pipelines. The role involves creating high-quality training data and evaluation signals across NLP and computer vision, including various evaluation tasks and content safety labeling.

Responsibilities

  • Produce labeled datasets for NLP tasks such as named entity recognition, text classification, summarization, and instruction-following
  • Perform RLHF tasks: preference comparisons, rubric-based ratings, and consistency checks
  • Run LLM evaluation and prompt evaluation for accuracy, helpfulness, harmlessness, and policy compliance
  • Conduct QA evaluation, audits, and adjudication to improve training data quality and reduce label noise
  • Apply annotation guidelines compliance, document edge cases, and propose clarifications to playbooks
  • Support computer vision annotation (bounding boxes, polygons, segmentation, keypoints) when needed
  • Perform content safety labeling (hate, harassment, self-harm, sexual content, violence) aligned to policy
  • Collaborate with project leads on inter-annotator agreement, drift, throughput, and quality metrics

Skills

  • Experience with data labeling, QA evaluation, RLHF, or LLM evaluation in production/high-throughput environments
  • Strong written English for rubric-based judgment and prompt evaluation
  • Familiarity with NLP concepts (NER, classification) and/or computer vision annotation
  • Ability to follow precise guidelines and handle sensitive content for safety labeling

Qualifications

Must Haves

  • Experience with data labeling, QA evaluation, RLHF, or LLM evaluation in production/high-throughput environments
  • Strong written English for rubric-based judgment and prompt evaluation
  • Familiarity with NLP concepts (NER, classification) and/or computer vision annotation
  • Ability to follow precise guidelines and handle sensitive content for safety labeling

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