Remote Information Manager – Data Annotation & QA

About the role

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

Key responsibilities

• Maintain and update human‑annotated datasets for AI model training and evaluation.
• Review and validate data labels to ensure consistency and quality across datasets.
• Collaborate with cross‑functional teams to identify data requirements and resolve annotation discrepancies.
• Document data collection methodologies, labeling guidelines, and quality‑control procedures.
• Monitor data pipeline performance and implement improvements to enhance efficiency.

Required profile

• 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

• Proficiency with data labeling tools such as Label Studio or Prodigy.
• Familiarity with spreadsheets, databases, or data‑management platforms.

What we offer

• Remote work from anywhere.
• Competitive hourly rate of $40‑$60.
• Opportunity to contribute to high‑quality AI training datasets for a global leader.