Complete daily operational tasks including quality inspection, policy and process optimization, queue assignment and handling escalations of the labelling project.
Work closely with respective project stakeholders and vendors to stay up to date with policy developments and provide feedback on implementation and execution.
Performing daily audits on internal systems, monitoring specialist's quality scores and providing analysis of errors and feedback to respective teams (R&D & Product Manager).
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Individuals who are completing or have recently completed a Bachelor's degree in in data, statistics, computer science, law, linguistics, or social sciences
Excellent English proficiency (listening, speaking, reading, writing) with accurate comprehension of English video and text content; IELTS 7.5 / TOEFL 105 or equivalent
Strong logical thinking with structured problem-decomposition, abstraction, and articulation skills; detail-oriented, with your own point of view on "what makes good data."
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Participate in defining and continuously improving data quality standards, judgment rules, and acceptance criteria for large model training and evaluation scenarios.
Review data outputs against quality standards, identify issues, drive correction loops, and ensure accuracy and consistency.
Assess complex, ambiguous, and boundary cases, and turn decisions into reusable judgment rules and knowledge assets.
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