Flyby C.

Key Skills

Software

Telus

Toloka

Remotasks

OneForma

Mindrift

Mercor

Clickworker

Top Subject Matter

Autonomous Vehicles - Object detection, keypoint annotation, and LiDAR data labeling

Artificial Intelligence & Machine Learning - AI training data annotation and model evaluation

Information Technology - Software and NLP data annotation

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Segmentation

Point/Key Point

Object Detection

Evaluation/Rating

Freelancer Overview

I have experience working on data annotation, data categorization, and quality assurance tasks that support AI and machine. My work has involved reviewing and labeling text, images, and structured data according to the guidelines. I am proficient in data validation, internet research, and maintaining quality standards. My background in Business Information Technology (DBIT) has strengthened my analytical thinking, computer literacy, and ability to work with digital platforms. What sets me apart is my strong attention to detail, ability to follow instructions, and commitment to delivering accurate results. Through my experience, I have developed excellent problem solving, communication, and organizational skills.

Labeling Experience

Content Moderation Labeling (text Classification)

TextClassification

Worked on text based content moderation datasets used to train machine learning models for detecting unsafe, offensive, or policy violating content. Tasks included classifying user generated text into categories such as safe, spam, hate speech, harassment, or sensitive content. Applied labeling guidelines consistently across large volumes of short form and long form text data. Ensured annotation accuracy through guideline adherence, contextual interpretation of ambiguous content, and review of borderline cases.

2024 - 2025

Object Tracking (Video Annotation)

VideoObject Detection

Worked on video annotation projects focused on object tracking for computer vision model training. Tasks involved tracking multiple objects frame by frame across video sequences, maintaining consistent identity assignment for moving objects such as vehicles, pedestrians, and cyclists. Annotated bounding boxes and ensured temporal consistency across frames, even under challenges like occlusion, motion blur, and overlapping objects. Followed the QA procedures, including frame validation and trajectory consistency checks.

2023 - 2024

Keypoint / Landmark Annotation & Semantic Segmentation

ImagePoint/Key Point

Worked on large scale image datasets involving keypoint annotation and semantic segmentation for computer vision model training. Tasks included marking anatomical and structural keypoints on objects such as vehicles, pedestrians, traffic signs, and road infrastructure, as well as pixel segmentation of scenes to differentiate objects from background elements. I followed the labeling guidelines, handled edge cases such as occlusions and low visibility frames, and performed consistency checks.

2022 - 2024

Education

Work History