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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Design and develop AI-powered testing solutions that improve software quality and engineering efficiency across the entire software development lifecycle.
Work on quality and engineering efficiency initiatives leveraging LLMs, including change risk analysis, automated testing, search quality evaluation, and LLM security testing.
Identify quality and engineering efficiency pain points in collaboration with software and algorithm engineering teams, propose practical optimization solutions, and drive their implementation to improve product quality and engineering efficiency.
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Participate in quality assurance for TikTok’s Live LLM initiatives, and assist in building the quality system for large model applications.
Take part in tool development for the industry-leading test team during the AI transformation across all testing phases.
Work on quality and efficiency special projects based on LLM, including change control, automated testing, search effectiveness evaluation, and LLM security.
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Design and develop AI-powered testing solutions that improve software quality and engineering efficiency across the entire software development lifecycle.
Work on quality and engineering efficiency initiatives leveraging LLMs, including change risk analysis, automated testing, search quality evaluation, and LLM security testing.
Identify quality and engineering efficiency pain points in collaboration with software and algorithm engineering teams, propose practical optimization solutions, and drive their implementation to improve product quality and engineering efficiency.
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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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Design and develop AI-powered testing solutions that improve software quality and engineering efficiency across the entire software development lifecycle.
Work on quality and engineering efficiency initiatives leveraging LLMs, including change risk analysis, automated testing, search quality evaluation, and LLM security testing.
Identify quality and engineering efficiency pain points in collaboration with software and algorithm engineering teams, propose practical optimization solutions, and drive their implementation to improve product quality and engineering efficiency.
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