Osifo G.

Key Skills

Software

CVAT

Labelbox

Label Studio

LabelImg

Mindrift

Roboflow

Toloka

Other

Top Subject Matter

Sports analytics

AI Humaniod Trainning

LLM Response Review

Top Data Types

Video

Image

Text

Top Task Types

Action Recognition

Object Detection

Polygon

Classification

Bounding Box

Segmentation

Point/Key Point

Question Answering

Fine-tuning

Transcription

Evaluation/Rating

Text Summarization

Text Generation

Freelancer Overview

I have hands-on experience in AI training data generation, data labeling, and model evaluation across both computer vision and LLM related tasks. I contributed to training data development for next-generation humanoid systems by generating egocentric image and video datasets covering real-world home activities and human interactions. My experience also includes reviewing and evaluating LLM-generated responses, identifying inaccuracies, improving response quality, and providing structured feedback to enhance model performance and alignment. I am highly familiar with annotation workflows, data quality assurance, edge-case detection, and maintaining consistency across datasets. What sets me apart is my strong technical background as a Data Scientist and Machine Learning Engineer. I have built multiple AI/ML and computer vision projects, including intelligent traffic monitoring systems, image recognition solutions, and predictive analytics applications. Because I understand the full AI pipeline, from data collection and annotation to model training, evaluation, and deployment, I can contribute beyond basic labeling tasks by ensuring training data is optimized for real model performance, accuracy, and scalability. I am also experienced with tools such as CVAT, LabelMe, Roboflow, Labelbox, and other annotation platforms commonly used in AI development.

Labeling Experience

AI Trainer

VideoData Collection

Generating Regular home activities videos to train the next generation of humanoid robots, I create different videos of regular home activities for AI Training

2026 - Present

Video Data Annotator

VideoFine-tuning

Served as a video data annotator by labeling tennis footage for downstream analytics and AI modeling. Applied consistent tagging of strokes, movements, and key match events to produce high-quality annotated sequences. Ensured annotations were accurate and reliable to support dataset quality and improved model performance. • Tagged strokes and movements within tennis videos. • Labeled key match events to capture meaningful actions. • Maintained high labeling accuracy and consistency across large datasets. • Partnered with analytics/AI teams to refine labeling criteria.

2025 - Present

Image Data annotation

ImageBounding Box

It was a Bull and Its Rider Annotation Task, The image data was generated from a video clip, and i was asked to draw bounding box on the required areas of each image, the project lasted over a month and the dataset was well over 1,000 Images

2026 - 2026

Education

Work History