Data Specialist (Remote)

About the role

We are hiring for a client seeking a Data Specialist to maintain high‑quality datasets used in AI model training and evaluation. The remote position involves reviewing human‑labeled data, refining annotation pipelines and ensuring data accuracy for machine‑learning applications. This role offers a unique opportunity to work with a global leader in the technology, information and internet sector, contributing to reliable AI systems and gaining exposure to real‑world machine‑learning workflows.

Key responsibilities

• Review and validate human‑labeled data to ensure consistency and accuracy for AI training datasets.
• Identify and resolve discrepancies in data annotations by cross‑referencing source materials and guidelines.
• Collaborate with cross‑functional teams to refine annotation guidelines and improve data quality standards.
• Monitor and report on data labeling performance metrics to track progress and identify trends.
• Assist in documenting processes and maintaining records of data sources, labeling rules, and quality checks.

Required profile

• Experience with data annotation, labeling, or quality assurance processes (preferred).
• Familiarity with basic data validation techniques and strong attention to detail.
• Ability to follow structured guidelines and maintain consistency in data handling tasks.
• Basic understanding of AI/ML concepts and their dependence on high‑quality training data.