Zipporah B.

Key Skills

Software

Other

CVAT

Data Annotation Tech

iMerit

Top Subject Matter

Computer Science

Algorithms Domain Expertise

Machine Learning

Top Data Types

Text

Document

Image

Top Task Types

Entity (NER) Classification

Bounding Box

Polygon

Segmentation

Classification

Transcription

Data Collection

Freelancer Overview

Computer Science Specialist – AI Trainer (Freelance). Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Science, Kenya Methodist University (2024) and Master of Science, Jomo Kenyatta University of Agriculture and Technology (2014). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Computer Science Specialist – AI Trainer (Freelance)

Text

As a Computer Science Specialist and AI Trainer, I evaluated large language models on advanced computer science topics. My work focused on providing technical feedback to improve prompt engineering and model outputs. I systematically identified model weaknesses, ensured factual and logical accuracy, and designed tests to assess AI performance. • Engaged in advanced computer science dialogues with large language models • Verified correctness in AI-generated algorithmic and programming solutions • Documented reproducible model errors for improvement • Provided structured evaluations for prompt engineering

2023 - Present

AI Model Evaluator & Data Annotation Specialist (Contract)

OtherTextEntity (NER) Classification

As an AI Model Evaluator and Data Annotation Specialist, I annotated and reviewed technical text data for AI and machine learning model training. My tasks included sentiment analysis, intent classification, and named entity recognition (NER) for Natural Language Processing (NLP) projects. I worked under strict quality standards to ensure high annotation accuracy and guideline compliance. • Labeled and assessed AI outputs for correctness in programming and computational tasks • Collaborated with QA teams to resolve guideline ambiguities • Reviewed and refined large-scale technical datasets for language models • Maintained high standards for annotation accuracy

2022 - 2024

Education

Work History