Treasure A.

Key Skills

Software

Labelbox

Top Subject Matter

Computer Vision and Robotics

Robotics and Computer Vision

Large Language Model Training

Top Data Types

Image

Video

Text

Document

Top Task Types

Segmentation

Bounding Box

RLHF

Freelancer Overview

Data Annotation Specialist – Labelbox (Contract / Remote). Core strengths include Labelbox. Education includes Bachelor of Science, University of Ilorin (2024). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Segmentation, Bounding Box, and RLHF.

Labeling Experience

Data Annotation Specialist – Labelbox (Contract / Remote)

LabelboxTextRLHF

As part of my responsibilities, I evaluated and ranked AI-generated text responses using Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) practices. The work focused on improving model reasoning, factuality, and alignment by applying detailed evaluation protocols. My contributions supported iterative optimization of large language model performance. • Reviewed and rated text responses for relevance and accuracy. • Applied RLHF and SFT methodologies to enhance LLM outputs. • Provided structured feedback to calibrate prompt and response guidelines. • Collaborated with cross-functional remote teams for continuous process improvement.

2024 - Present

Data Annotation Specialist – Labelbox (Contract / Remote)

LabelboxVideoSegmentation

In this role, I conducted polygon and bounding box annotations on a large set of video data for robotics and vision model training. I followed complex guidelines to capture objects, actions, and regions of interest in each video dataset. Exceptional attention to detail ensured accurate and high-quality labels for model development. • Annotated videos using segmentation to refine robotics and CV models. • Consistently met or exceeded quality targets for precise object/action labeling. • Reported edge cases and ambiguities to enhance annotation protocols. • Participated in self-reviews and peer audits for continuous quality assurance.

2024 - Present

Data Annotation Specialist – Labelbox (Contract / Remote)

LabelboxImageSegmentation

As a Data Annotation Specialist at Labelbox, I performed high-precision semantic segmentation, bounding box, and polygon annotations on thousands of image datasets to train robust computer vision and robotics models. My work focused on strict adherence to complex labeling playbooks, ensuring consistently high accuracy rates above 98%. I also participated in daily quality checks to maintain exceptional standards and minimize labeling errors. • Conducted segmentation on diverse image datasets for computer vision training. • Maintained a consistent accuracy rate above 98% throughout all tasks. • Collaborated with remote teams for refining labeling guidelines and handling edge cases. • Performed daily self-reviews and quality audits on labeled segments.

2024 - Present

Education

Work History