Chan Chee Choong

AI Operations and Trust & Safety specialist with 5+ years of experience across content moderation, AI data annotation, search quality, and LLM training data projects. Reviewed up to 1,800 pieces of content per day while maintaining 98–100% accuracy across moderation and labeling workflows covering text, image, video, and audio content.

Experience includes Trust & Safety operations, multimedia annotation, search relevance evaluation, SBS testing, taxonomy labeling, and conversational AI datasets across US and GB markets using Appen, TCS, and ByteDance internal platforms.

Contract AI Data Analyst - Bodhi Mind (US Market) at Thoth AI (2026-01 – 2026-02)

• Transcribed and annotated 6 - 7 multi-speaker conversations per day utilizing Appen annotation platform across 10–20 minute recordings.
• Labeled speaker intent, emotional tone, slang, context, and conversational meaning for training conversational AI models.
• Flagged audio issues including glitches, cut-offs, distortions, and invalid recordings during QA review.
• Reviewed conversational context, industry terminology, colloquial language, and speaker intent to support LLM training datasets.
• Annotated speaker transitions, emotional cues, and conversational nuance across movie scenes and podcast transcription projects.
• Maintained consistent ground-truth labeling standards across fast-moving annotation workflows.

Search Quality - Search Engine Optimization Specialist (GB Market) at ByteDance Ltd. (2024-11 – 2025-08)

• Collaborated with internal stakeholders to clarify project requirements and criteria before proceeding with search query optimization.
• Analyzed search behavior, query intent, and engagement data to identify gaps in content discoverability.
• Optimized an average of 26-35 content items per day through metadata updates, caption edits, hashtag selection, and keyword alignment by utilizing Bytedance internal Search Quality platform.
• Ran side-by-side (SBS) testing to compare search ranking approaches against user intent and platform requirements.
• Demonstrated an average evaluation accuracy score of 93.99% across search relevance projects.
• Worked with ranking, taxonomy, and relevance teams to calibrate search quality decisions.
• Reviewed search results against platform policies and user expectations to maintain relevance and compliance.

AI Data Annotation Specialist - Data Labelling (US Market) at ByteDance Ltd. (2021-12 – 2024-11)

• Labeled approximately 900 multimedia items daily through the TCS labeling platform while maintaining 98–100% annotation accuracy.
• Performed metadata tagging, semantic classification, and contextual labeling across large multimedia datasets.
• Consistently delivered 98 - 100% annotation accuracy while applying taxonomy standards, policy requirements, and calibration guidelines.
• Identified emerging content trends and provided feedback that improved labeling consistency and workflow quality.
• Participated in policy calibration sessions, review audits, and labelling quality checks, effectively raising accuracy rate from 96% to 98%.
• Worked with cross-functional teams to meet SLA targets and maintain consistent labeling standards across operations.

Trust & Safety Specialist - Content Moderator (US Market) at ByteDance Ltd. (2020-05 – 2021-12)

• Worked on 1,500 - 1800 pieces of user-generated content daily using the TCS moderation platform across text, image, video, and audio formats.
• Identified spam, abusive behavior, policy evasion tactics, and emerging platform risks during content review.
• Ensured 98 - 100% moderation accuracy while enforcing community standards and harmful content policies.
• Supported escalation and risk assessment workflows by tracking user behavior trends and identifying sensitive or high-risk content patterns.
• Participated in calibration sessions, policy reviews, and QA exercises to maintain moderation consistency.
• Shared review findings, common errors, and enforcement guidance with teammates to improve decision quality across the team.

Customer Support Representative at ACE Software Sdn. Bhd. (2019-04 – 2020-04)

• Delivered POS system training for business users during onboarding and implementation.
• Troubleshot software and hardware issues through both remote and on-site support.
• Escalated backend technical issues to engineering teams and coordinated follow-ups until resolution.
• Resolved customer support requests within service targets while maintaining response quality.

Diploma in Computer Studies – SEGi College Kuala Lumpur (2016-04 – 2019-03)