Remote Information Manager – Data Annotation & QA

About the role

We are seeking a remote Information Manager to oversee the collection, validation, and maintenance of human‑annotated datasets that power AI models. The role is full‑time and supports a global leader in data infrastructure, offering the chance to shape high‑quality training data for multiple applications.

Key responsibilities

• Maintain and continuously update human‑annotated datasets used for AI model training and evaluation.
• Review and validate data labels to ensure consistency, accuracy, and adherence to guidelines.
• Collaborate with cross‑functional teams to define data requirements and resolve annotation discrepancies.
• Document data collection methods, labeling standards, 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.
• Effective written communication for documenting processes and guidelines.

Required skills

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

What we offer

• Fully remote work from anywhere.
• Competitive hourly rate ranging from $40 to $60.
• Opportunity to contribute to high‑impact AI training datasets for a leading data analytics company.