ByteDance

6 days ago

Data Operations Analyst (AI Data & Safety)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 51 minutes agoStatus: Live

Job Summary

Drive AI Data & Safety operations by leading data annotation, evaluation, and user-growth projects across multiple AI modalities (LLM, VLM, Speech, Video). Design and optimize project workflows, training and QA processes, and quality guidelines. Build robust dataset checking and analysis to ensure mathematical accuracy and statistical validity, translating findings into actionable insights for model improvement. Partner with cross-functional teams and external vendors while continuously exploring new AI data production methods.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Lead and manage data annotation, evaluation, and/or user growth projects across AI modalities and academic topic areas, ensuring timelines and quality standards are met.
•Design and optimize workflows, including training design, annotation/QA processes, and performance tracking; implement quality and productivity improvements.
•Design and implement data checking and analysis strategies to evaluate training/evaluation datasets, ensuring mathematical accuracy and statistical validity.
•Translate quantitative findings from deep-dive analysis into actionable insights via reports and defined quality benchmarks.
•Continuously explore efficient data production methods (e.g., automated data scraping, model evaluation, agentic/code-based synthesis) and share learnings with the team.

Key Requirements

•Bachelor’s degree with a strong academic track record.
•At least 1 year of experience in cross-team/cross-region project management and data analysis related to product management, coordinating with product/R&D/operations teams.
•Strong data sensitivity and analytical skills to identify problems, summarize conclusions, and support decisions with data evidence.
•Strong interest in AI, large models, and human-computer interaction, with excellent cross-team collaboration awareness.
•Business proficiency in English and Mandarin with strong written and verbal communication for cross-functional collaboration.

Experience:AIMachine learningLLMData operations

Education:Bachelor's

Skills:CommunicationCollaborationAnalytical thinkingProblem-solvingAdaptability

Languages:EnglishMandarin

Tech Stack:PythonLLMVLMSpeechVideoAutomated data scrapingAgentic data synthesisCode-based data synthesis

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

6 days ago

Data Operations Analyst (AI Data & Safety)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 51 minutes agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Lead and manage data annotation, evaluation, and/or user growth projects across AI modalities and academic topic areas, ensuring timelines and quality standards are met.
•Design and optimize workflows, including training design, annotation/QA processes, and performance tracking; implement quality and productivity improvements.
•Design and implement data checking and analysis strategies to evaluate training/evaluation datasets, ensuring mathematical accuracy and statistical validity.
•Translate quantitative findings from deep-dive analysis into actionable insights via reports and defined quality benchmarks.
•Continuously explore efficient data production methods (e.g., automated data scraping, model evaluation, agentic/code-based synthesis) and share learnings with the team.

Key Requirements

•Bachelor’s degree with a strong academic track record.
•At least 1 year of experience in cross-team/cross-region project management and data analysis related to product management, coordinating with product/R&D/operations teams.
•Strong data sensitivity and analytical skills to identify problems, summarize conclusions, and support decisions with data evidence.
•Strong interest in AI, large models, and human-computer interaction, with excellent cross-team collaboration awareness.
•Business proficiency in English and Mandarin with strong written and verbal communication for cross-functional collaboration.

Experience:AIMachine learningLLMData operations

Education:Bachelor's

Skills:CommunicationCollaborationAnalytical thinkingProblem-solvingAdaptability

Languages:EnglishMandarin

Tech Stack:PythonLLMVLMSpeechVideoAutomated data scrapingAgentic data synthesisCode-based data synthesis

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn