Remote Information Manager – Data Annotation & QA

About the role

We are seeking a Remote Information Manager to lead the collection, validation, and management of human‑annotated datasets that power AI models. The role is full‑time and supports a global leader in data infrastructure and analytics.

Key responsibilities

• Maintain and continuously update human‑annotated datasets used for training and evaluating AI models.
• Review and validate data labels to ensure consistency, accuracy, and high quality across all datasets.
• Collaborate with cross‑functional teams to define data requirements and resolve annotation discrepancies.
• Document data collection methods, labeling guidelines, and quality‑control procedures.
• Monitor data pipeline performance and implement improvements to increase efficiency.

Required profile

• Proven experience with data annotation, validation, or quality‑assurance processes.
• Strong attention to detail and ability to follow structured guidelines.
• Excellent written communication for documenting processes and guidelines.

Required skills

• Label Studio or Prodigy (data labeling tools).
• Proficiency with spreadsheets, databases, or data‑management platforms.