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R

Mid-Senior Remote Data Annotator

Rex.zone

Remote · À temps plein

Soyez le premier à postuler

Expérience
3 ans et plus
Salaire
Ouvertures
1
Publié
il y a 4 heures
Mode de travail
Travaillez à domicile
CV
Candidature requise

Description de l'emploi

About the Position

Rex.zone is seeking experienced Mid-Senior level Remote Data Annotators to develop and validate precise training datasets essential for AI and machine learning system development. This role involves engaging with a variety of data types including text, images, and multi-modal content, applying uniform rubric-driven decisions and comprehensive documentation to enhance model accuracy.

Key Responsibilities

  • Annotate and verify datasets for natural language processing and computer vision tasks, including named entity recognition, classification, and segmentation or bounding boxes.
  • Conduct Reinforcement Learning from Human Feedback (RLHF) evaluations and prompt evaluations by assessing and ranking model outputs based on set guidelines.
  • Execute quality assurance evaluations such as audit sampling, calibration, and resolving discrepancies to ensure compliance with annotation standards.
  • Assist in content safety labeling through policy-based categorization and adherence to safety rubrics.
  • Work collaboratively with project leads asynchronously to achieve throughput, precision, and audit standards required in large language model training workflows.

Essential Qualifications

  • Experience at a mid to senior level within data annotation, quality assurance evaluation, or evaluation of large language models.
  • Exceptional attention to detail with a capacity to address ambiguous scenarios using consistent logic.
  • Strong written communication skills for documenting edge cases and justification.
  • Proficiency with annotation platforms and spreadsheet-like data review tools.

Work styles they’re looking for

Collaboration Souci du détail Communication écrite

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