Ridwan R.

Key Skills

Software

Appen

Remotasks

Toloka

Top Subject Matter

Computer vision and text labeling for ML training datasets

Autonomous driving and human action recognition dataset annotation

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Segmentation

Freelancer Overview

Freelance AI Trainer / Annotator. Core strengths include Appen, Remotasks, and Toloka. Education includes Bachelor of Engineering, Ladoke Akintola University of Technology (LAUTECH) (2019). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box and Segmentation.

Labeling Experience

Freelance Computer Vision Annotator

VideoSegmentation

Freelanced as a computer vision annotator for autonomous driving datasets requiring precise labeling and quality control. Labeled 20,000+ images and video frames, including lane detection, pedestrian bounding boxes, and traffic sign segmentation while meeting sub-pixel accuracy expectations. • Annotated lane detection and pedestrian bounding boxes for driving scenes. • Labeled traffic sign segmentation across frames and images. • Performed keypoint annotation and pose estimation markup for human action recognition. • Reduced team error rates by flagging ambiguous edge cases and proposing clearer guidelines.

2026 - 2026

Freelance AI Trainer / Annotator

AppenImageBounding Box

Freelanced as an AI trainer and data annotator, completing labeling micro-tasks focused on supervised training datasets. Performed image bounding box, polygon segmentation, and text span annotation while following platform-specific guidelines to ensure label consistency. • Worked on labeling micro-tasks via Appen, Remotasks, and Toloka. • Specialized in bounding boxes and polygon/segmentation markup. • Annotated text spans according to provided schemas. • Maintained high acceptance rates and achieved top-rated status within 3 months.

2025 - 2025

Education

Work History