George Gitau

Key Skills

Software

Internal/Proprietary Tooling

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Top Label Types

Classification

Text Summarization

RLHF

Evaluation Rating

Prompt Response Writing SFT

Bounding Box

Polygon

Object Detection

Freelancer Overview

I have over three years of hands-on experience in data labeling and AI training data projects, working with large, structured, and unstructured datasets to support machine learning model development. My work has included data annotation, validation, quality review, and consistency checks across text-based and structured datasets, with a strong focus on accuracy, guideline adherence, and error reduction. I bring a detail-oriented approach to labeling tasks, ensuring high-quality outputs that meet project-specific requirements and performance benchmarks. In addition to labeling experience, my technical background in Python, Django, and SQL sets me apart by allowing me to better understand data pipelines, edge cases, and model expectations. I have contributed to projects involving real-time data updates, schema validation, and dataset organization, which strengthens my ability to identify anomalies and maintain data integrity. I work efficiently in remote, team-based environments, adapt quickly to evolving guidelines, and consistently deliver reliable training data that supports scalable AI systems.

Labeling Experience

LLM Text Annotation & RLHF for Conversational AI

Internal Proprietary ToolingTextClassificationText Summarization

Contributed to large-scale AI training projects focused on improving conversational and generative language models. Tasks included prompt–response writing, response ranking, relevance and safety evaluation, text classification, summarization, and reinforcement learning from human feedback (RLHF). Annotated and reviewed thousands of text samples while strictly following evolving project guidelines to ensure consistency, factual accuracy, and alignment with model objectives. Actively participated in quality audits, peer reviews, and edge-case analysis to reduce ambiguity and improve annotation reliability across datasets.

Contributed to large-scale AI training projects focused on improving conversational and generative language models. Tasks included prompt–response writing, response ranking, relevance and safety evaluation, text classification, summarization, and reinforcement learning from human feedback (RLHF). Annotated and reviewed thousands of text samples while strictly following evolving project guidelines to ensure consistency, factual accuracy, and alignment with model objectives. Actively participated in quality audits, peer reviews, and edge-case analysis to reduce ambiguity and improve annotation reliability across datasets.

2023 - 2025

Image Annotation for Computer Vision Object Detection Models

V7 LabsImageBounding BoxPolygon

Worked on computer vision datasets involving image annotation for object detection and classification. Responsibilities included drawing accurate bounding boxes and polygons around objects, labeling attributes, and validating annotations for quality and completeness. Projects supported model training for object recognition and scene understanding. Followed strict annotation standards, performed cross-checks to minimize labeling errors, and handled edge cases such as occlusion, overlapping objects, and low-quality images to maintain dataset integrity at scale.

Worked on computer vision datasets involving image annotation for object detection and classification. Responsibilities included drawing accurate bounding boxes and polygons around objects, labeling attributes, and validating annotations for quality and completeness. Projects supported model training for object recognition and scene understanding. Followed strict annotation standards, performed cross-checks to minimize labeling errors, and handled edge cases such as occlusion, overlapping objects, and low-quality images to maintain dataset integrity at scale.

2022 - 2024

Education

Work History