Remote Data Labeling Pro for AI Training - Madrid

Rex.zone; Madrid; A distancia; EUR 26.000 - 38.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Asynchronous collaboration

Descripción de la vacante

Rex.zone is hiring for a full-time, fully remote data labeling role focused on training-data creation and quality control for AI/ML systems. You will label and evaluate text, images, audio, and conversations used in LLM evaluation and computer vision annotation workflows, improving training data quality, annotation consistency, and model performance.

This remote position emphasizes asynchronous collaboration across data ops, QA, and project leads.

Formación

• Mid-Senior experience in data labeling or data annotation operations.
• Strong attention to detail and ability to follow structured rubrics and guidelines.
• Familiarity with NLP concepts (classification, NER, sentiment) and LLM training pipelines.
• Ability to explain labeling decisions clearly and maintain consistent quality under deadlines.

Responsabilidades

• Label and evaluate text, images, audio, and conversations for AI/ML systems.
• Improve training data quality and annotation consistency.
• Contribute to LLM evaluation and CV annotation workflows.
• Attend to content safety labeling and edge-case documentation.
• Collaborate asynchronously with data ops, QA, and project leads.

Conocimientos

Data labeling

NLP concepts

Quality control

Explain decisions

Descripción del empleo

Rex.zone is hiring for a full-time, fully remote data labeling role focused on training-data creation and quality control for AI/ML systems. You will label and evaluate text, images, audio, and conversations used in LLM evaluation and computer vision annotation workflows, improving training data quality, annotation consistency, and model performance.

This remote position emphasizes asynchronous collaboration across data ops, QA, and project leads.