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 model training. The role is full‑time and supports a global leader in data infrastructure and analytics, ensuring high‑quality data pipelines for downstream applications.

Key responsibilities

• Maintain and continuously update human‑annotated datasets used for AI model training and evaluation.
• Review and validate data labels to guarantee consistency, accuracy, and 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 skills for documenting processes and guidelines.

Required skills

• Label Studio
• Prodigy
• Spreadsheets
• Databases
• Data management platforms