Remote Data Specialist – AI Training & Annotation

About the role

We are seeking a Remote Data Specialist to support a leading technology client in maintaining high‑quality datasets for AI model training and evaluation. The role focuses on reviewing human‑labeled data, ensuring consistency, and helping to refine annotation pipelines.

Key responsibilities

• Review and validate human‑labeled data to guarantee accuracy for AI training sets.
• Identify and resolve annotation discrepancies by cross‑referencing source materials and guidelines.
• Collaborate with cross‑functional teams to improve annotation guidelines and data‑quality standards.
• Monitor and report on labeling performance metrics, highlighting trends and areas for improvement.
• Document processes, maintain records of data sources, labeling rules, and quality checks.

Required profile

• New‑graduate or early‑career professional with attention to detail.
• Familiarity with data annotation, labeling, or quality‑assurance workflows is a plus.
• Basic understanding of AI/ML concepts and the importance of high‑quality training data.
• Ability to follow structured guidelines and work independently in a remote environment.

Required skills

• Proficiency with spreadsheet tools (e.g., Microsoft Excel or Google Sheets) for data tracking and organization.

What we offer

• Competitive compensation based on experience.
• Fully remote, work‑from‑anywhere arrangement.
• Opportunity to contribute to cutting‑edge AI projects with a global technology leader.