Aggrey Gisemba

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Computer Code Programming

Top Label Types

RLHF

Classification

Freelancer Overview

I am an analytical AI Data Specialist with hands-on experience in high-accuracy data labeling, RLHF (Reinforcement Learning from Human Feedback), and multimodal dataset curation. My background in Computer Science and Information Science allows me to expertly annotate data for both NLP tasks—such as named entity recognition, intent classification, and sentiment mapping—and computer vision projects involving bounding boxes, polygon annotation, and semantic segmentation. I have a proven track record of ranking model outputs, detecting hallucinations in LLMs, and ensuring data quality through gold standard creation and inter-annotator agreement. My technical skills extend to debugging code-related datasets, developing secure authentication systems, and managing complex data pipelines using tools like Labelbox, Scale AI, CVAT, and Amazon SageMaker. I am passionate about leveraging my expertise to improve AI model performance and maintain data integrity across diverse domains.

Labeling Experience

Developer & Data Lead (AI Labeling Tasks)

LabelboxComputer Code ProgrammingClassification

Facilitated data labeling and transformation of raw grades and code data into structured formats suitable for AI algorithmic training. Applied data validation and annotation expertise in the development of user authentication and student marks analysis systems. Drove workflow optimization focusing on the accuracy and integrity of labeled educational content. • Led data labeling efforts on computer code and structured academic data. • Developed protocols for accurate labeling of PII and educational datasets. • Implemented workflow optimizations for AI content delivery in education domains. • Used Labelbox and related tools for precise data annotation and validation.

Facilitated data labeling and transformation of raw grades and code data into structured formats suitable for AI algorithmic training. Applied data validation and annotation expertise in the development of user authentication and student marks analysis systems. Drove workflow optimization focusing on the accuracy and integrity of labeled educational content. • Led data labeling efforts on computer code and structured academic data. • Developed protocols for accurate labeling of PII and educational datasets. • Implemented workflow optimizations for AI content delivery in education domains. • Used Labelbox and related tools for precise data annotation and validation.

2024 - 2026

AI Training & Data Specialist

LabelboxTextRLHF

Executed RLHF protocols to evaluate and rank AI-generated responses for accuracy, safety, and helpfulness. Curated and managed complex web-based and code-oriented datasets to ensure robust AI training. Detected and corrected hallucinations in large language model outputs to maintain data quality. • Applied RLHF and evaluation/rating on AI responses to enhance model performance. • Managed data labeling involving metadata optimization and code dataset debugging. • Ensured strict data quality through hallucination detection and validation against primary sources. • Worked with multiple labeling platforms including Labelbox, Scale AI, CVAT, and Amazon SageMaker.

Executed RLHF protocols to evaluate and rank AI-generated responses for accuracy, safety, and helpfulness. Curated and managed complex web-based and code-oriented datasets to ensure robust AI training. Detected and corrected hallucinations in large language model outputs to maintain data quality. • Applied RLHF and evaluation/rating on AI responses to enhance model performance. • Managed data labeling involving metadata optimization and code dataset debugging. • Ensured strict data quality through hallucination detection and validation against primary sources. • Worked with multiple labeling platforms including Labelbox, Scale AI, CVAT, and Amazon SageMaker.

2024 - 2026

Education

Work History