AI Data Quality Analyst

@ TaskUs

About TaskUs:

TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies. With a People First culture and a presence in 23 locations across 12 countries, TaskUs helps grow and protect its clients' brands with innovative technology and dedicated support.

Role Overview: AI Data Quality Analyst

This role ensures the fidelity of training and evaluation datasets for AI models. The analyst will perform quality audits, statistical reporting, and root cause analysis to maintain high annotation standards and drive continuous improvements.

Key Responsibilities:

• Data Analysis: Conduct quality audits, statistical evaluations (F1 score, inter-annotator agreement), and root cause analysis.
• Continuous Improvement: Identify automation opportunities, update documentation, and provide feedback on annotation guidelines.
• Collaboration & Communication: Work with cross-functional teams, support training of annotators, and report quality metrics.

Experiences & Skills:

• 1+ years in data analysis with a focus on data quality in an AI/ML context.
• Understanding of AI/ML pipelines and quality metrics.
• Strong analytical, communication, and problem-solving skills.
• Familiarity with data annotation tools is a plus.

Why You'll Love This Role:

Work remotely and have a visible impact in enhancing AI model performance. Every dataset is unique, providing room for growth and collaboration with mission-driven teams.

How We Partner To Protect You:

TaskUs will never require any form of payment during your application process. Always communicate with authorized recruiters only.

Key skills/competency:

Data Quality, AI, ML, Annotation, Statistical Reporting, Root Cause Analysis, Automation, Documentation, Collaboration, Quality Audits