Data Quality Specialist (AI Tutor) - Remote

Overview

The Data Quality Specialist (AI Tutor) is responsible for ensuring exceptional data quality and integrity through auditing and validating data, while driving continuous improvement in annotation processes.

In Short

• Conduct final quality audits before data integration.
• Verify the quality of data received from providers.
• Participate in beta testing and project development.
• Scrutinize and rectify any data inaccuracies.
• Ensure annotation teams follow established guidelines.
• Identify opportunities to improve data quality.
• Communicate effectively across different functions.
• Maintain meticulous attention to detail.
• Lead prompt evaluation tasks and create guidelines.
• Work independently and manage time effectively.

Requirements

• Relevant academic background and experience in data annotation.
• Expert reading and writing skills.
• Strong commitment to accuracy.
• Ability to follow complex instructions.
• Superb time management skills.
• Process-driven and organized approach to work.
• Previous hands-on experience as a data annotator is ideal.
• Fluency in multiple languages is a plus.

Benefits

• Opportunity to work in a dynamic team.
• Engagement in innovative project development.
• Flexibility with remote work options.
• Gain valuable experience in data quality management.
• Collaborate with cross-functional teams.