Data Quality Analyst - Portuguese (Portugal) Speakers
Core
Ensuring data quality and consistency for AI/ML training data by auditing work, providing feedback, and supporting labeling teams.
Role type
Senior IC data quality analyst (annotation/evaluation)
Builds
High-quality training datasets for AI/ML systems
Domain
AI/ML data workflows and human-in-the-loop evaluation
Deliverable
production ML models
Required skills
Data annotation, content quality assurance, guideline interpretation, auditing, workflow monitoring, stakeholder communication, documentation, coaching, pattern recognition
Preferred skills
AI/ML data workflows experience, human-in-the-loop evaluation, safety/compliance/policy-driven content evaluation
Technologies
AI Support, Machine Learning, Network
Responsibilities
Audit work and provide structured feedback to improve accuracy and consistency; Serve as a first point of support for team members interpreting guidelines; Assist with onboarding and training through hands-on guidance; Monitor workflows and escalate risks; Identify recurring patterns and edge cases in human and model outputs; Participate in calibrations and stakeholder meetings; Document findings and feedback clearly.
Seniority
Mid-level, hands-on IC
