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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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.
...
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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Develop, refine, and maintain Operational Guidelines for assigned policy areas, translating policy intent into clear, actionable instructions and ensuring alignment with policy changes, platform updates, and operational best practices.
Produce, validate, and maintain high-quality Testing Sets for calibration, QA evaluation, arbitration, and operational assessments, ensuring balanced coverage of scenarios, content types, and edge cases.
Analyze complex, ambiguous, and high-risk cases to provide structured clarifications, reduce enforcement discrepancies, and inform OG and Testing Set improvements.
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Help define and continuously iterate data-quality standards, judgment rules, and acceptance criteria for foundation-model training and evaluation.
Review and judge data outputs against quality standards, identify issues, close correction loops, and ensure accuracy and consistency.
Participate deeply in the adjudication and discussion of complex, ambiguous, and borderline cases; convert conclusions into reusable judgment rules and knowledge assets.
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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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Currently pursuing an Undergraduate in data, statistics, computer science, law, linguistics or social sciences preferred.
Internship, academic project, campus organization, or full-time experience in data quality, quality assurance, content moderation, compliance, content operations, editorial review, or AI data / annotation is a strong plus;
Excellent English proficiency (listening, speaking, reading, writing) with accurate comprehension of English video and text content; IELTS 7.5 / TOEFL 105 or equivalent
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Currently pursuing an Undergraduate degree 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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