Remote Data Specialist – AI Training Data Management

About the role

We are looking for a Remote Data Specialist to support a global technology leader in maintaining high‑quality datasets for AI model training and evaluation. The role focuses on reviewing, validating, and improving human‑labeled data to ensure consistency and accuracy across machine‑learning pipelines.

Key responsibilities

• Review and validate human‑labeled data, ensuring consistency with annotation guidelines.
• Identify and resolve discrepancies by cross‑referencing source materials.
• Collaborate with cross‑functional teams to refine annotation standards and improve data‑quality processes.
• Monitor and report on labeling performance metrics, highlighting trends and areas for improvement.
• Document processes, maintain records of data sources, labeling rules, and quality checks.

Required profile

• Recent graduate or early‑career professional with interest in AI/ML data pipelines.
• Strong attention to detail and ability to follow structured guidelines.
• Basic understanding of AI/ML concepts and the importance of high‑quality training data.

Required skills

• Experience with data annotation or labeling workflows (preferred).
• Proficiency with spreadsheets and data‑management tools.
• Basic data validation techniques.

What we offer

• Competitive compensation based on experience.
• Full‑time remote work with flexibility to work from anywhere.
• Opportunity to contribute to cutting‑edge AI systems for a leading technology company.