Embun K.

Key Skills

Software

Mindrift

OneForma

Toloka

Telus

Top Subject Matter

Video data annotation for machine learning and computer vision

Ads quality evaluation and relevance assessment for search engine advertising

Legal Services & Contract Review

Top Data Types

Video

Text

Image

Document

Top Task Types

Text Generation

Question Answering

Text Summarization

Fine-tuning

Transcription

Evaluation/Rating

Freelancer Overview

Video Labeler / Data Annotator – Atlas Captured (2026–Present). Brings 18+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Business Administration, Pasundan University (2007). AI-training focus includes data types such as Video and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Ads Rater – Welocalize / Welodata (2026–Present)

Text

Evaluates and analyzes online advertisements for quality, relevance, and compliance with strict global project guidelines. Assesses alignment between user search intent and advertisement properties to improve commercial accuracy. Provides structured, data-driven feedback to support AI-powered advertising optimization and data quality improvement. • Rates ads based on target user relevance and content quality. • Checks contextual match between search intent and displayed ad properties. • Submits feedback designed to directly inform advertising optimization systems. • Ensures outputs comply with complex, globally defined project requirements.

2026 - Present

Video Labeler / Data Annotator – Atlas Captured (2026–Present)

Video

Responsible for precise video labeling and object annotation on raw video assets to support AI training and computer vision model optimization. Performs systematic self-quality checks and validation to ensure annotated outputs meet complex project guidelines before submission. Adapts to evolving dataset specifications and timelines to keep AI training pipelines operating smoothly. • Labels and annotates moving objects and critical visual elements for accurate target pattern recognition. • Identifies, classifies, and tags visual elements to support machine learning learning signals. • Conducts rigorous validation and self-quality audits prior to final delivery. • Collaborates with guideline requirements to maintain consistency across diverse datasets.

2026 - Present

Education

Work History