AI Data Annotator at Chemin AI (2026-03 – Present)
Audio Transcription & Annotation
- Transcribed English audio with speaker labeling and segmentation.
- Applied linguistic tagging (fillers, stuttering, non-target language).
- Validated audio quality and ensured compliance with annotation standards.
AI Data Annotator at Thoth AI (2024-11 – 2026-03)
TikTok Search Safety Model
- Labeled search queries and content for safety and policy compliance.
- Classified sensitive content (harmful, misleading, unsafe).
- Ensured high-quality annotations through QA validation.
AI Data Annotator at LILT (2025-07 – 2025-11)
Post Editing & Localization
- Performed text post-editing and labeling for SMS, email, and conversational data.
- Applied localization techniques (slang, tone, cultural adaptation).
- Used Keep/Discard frameworks to ensure dataset quality.
AI Data Annotator at LILT (2025-10 – 2025-11)
Linguistic Evaluation
- Evaluated AI outputs for fluency, tone, and cultural appropriateness.
- Completed speaking, listening, ranking, and error detection tasks.
- Contributed to improving multilingual AI model performance.
AI Data Annotator at TELUS (2025-11 – 2026-01)
AI Response Evaluation
- Performed A/B testing on AI voice responses, evaluating engagement and realism.
- Assessed content quality, tone, and conversational flow.
- Applied annotation guidelines to ensure consistent evaluation results.
AI Data Annotator at RWS (2026-01 – 2026-03)
Audio Dubbing
- Evaluated AI-dubbed audio for translation accuracy and semantic equivalence.
- Assessed voice naturalness, prosody, and audio quality.
- Provided detailed feedback with timestamps to improve AI speech models.
AI Data Annotator at RWS (2025-10 – 2026-02)
Indonesia Audio Transcription
- Delivered verbatim audio transcriptions with high accuracy, including fillers and natural speech.
- Applied structured punctuation and formatting guidelines.
- Reviewed and corrected transcription errors for QA compliance.
AI Data Annotator at Remotask (2022-04 – 2022-10)
LiDAR 3D Automobile Annotation – Autonomous Vehicle
- Annotated 3D LiDAR point cloud data for autonomous vehicle systems, focusing on automobiles and road environments.
- Created accurate 3D bounding boxes (cuboids) and performed vehicle tracking across frames.
- Labeled automotive objects (cars, trucks, motorcycles) for perception models.
- Ensured high annotation accuracy and QA compliance for AV datasets.
AI Data Annotator at Lionbridge (2021-06 – 2022-01)
IG Feed FIT
- Labeled Instagram feed posts by assigning relevant topics and subtopics based on content (text, image, video) analysis.
- Conducted content classification and tagging using taxonomy systems, ensuring relevance, granularity, and accuracy in annotations.
- Performed data validation and research (side search) for unclear content to improve labeling quality and consistency.
