Phương N.

Key Skills

Software

Don't disclose

Top Subject Matter

Autonomous driving lane detection and image privacy compliance

Top Data Types

Image

Top Task Types

Polyline

Freelancer Overview

AI Data Annotator (Autonomous Driving Project) — Tencent Project (Outsourcing Company). Core strengths include Don't disclose. Education includes High School Diploma, N/A. AI-training focus includes data types such as Image and labeling workflows including Polyline.

Labeling Experience

AI Data Annotator — Autonomous Driving Project (Tencent, outsourcing)

Don't discloseImagePolyline

Performed autonomous-driving lane structure annotation for SIL Lane Detection datasets following detailed project guidelines. Labeled lane attributes across complex scenarios such as intersections, lane merging, and lane splitting while ensuring quality and consistency before submission. Conducted image privacy review by invalidating images when faces or vehicle license plates were detected per project rules. • Annotated lane structures and lane attributes for SIL Lane Detection • Managed complex road scenarios (intersections, merges, splits) • Applied privacy validation rules for detected faces and license plates • Collaborated with QA reviewers to improve annotation accuracy and meet productivity requirements

2026 - Present

AI Data Annotator (Autonomous Driving Project) — Tencent Project (Outsourcing Company)

Don't discloseImagePolyline

Annotated lane structures for autonomous driving datasets (SIL Lane Detection) according to detailed project guidelines. Managed complex road scenarios such as intersections, lane merging, and lane splitting while assigning the correct lane attributes. Performed image privacy review by identifying and marking images as invalid when faces or vehicle license plates were detected per project rules. • Labeled lane geometry and associated lane attributes • Ensured annotation quality and consistency before submission • Reviewed datasets for privacy compliance and rule-based validity • Coordinated with QA reviewers to improve accuracy and meet targets

2026 - Present

Education

Work History