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Faith Wangui

Faith Wangui

Data Annotator - AI and Machine Learning

Kenya flagNairobi, Kenya
$10.00/hrExpertMindriftTelusV7 Labs

Key Skills

Software

MindriftMindrift
TelusTelus
V7 LabsV7 Labs
Internal/Proprietary Tooling

Top Subject Matter

Image Classification
LLM Evaluation in English
Text Annotation

Top Data Types

TextText

Top Task Types

Bounding Box
Classification
Computer Programming Coding
Data Collection
Evaluation Rating
Prompt Response Writing SFT
Question Answering
Text Generation

Freelancer Overview

I am a detail-oriented data annotator with extensive experience supporting AI and machine learning projects across domains such as computer vision, NLP, retail, healthcare, and finance. My background includes hands-on annotation and quality assurance for image, text, and video data, using industry-standard tools like Labelbox, Tagtog, and Snorkel Flow. I have collaborated with AI research teams to deliver high-quality datasets for autonomous systems, multilingual models, and sentiment analysis, and have contributed to both the creation and review of large-scale training data. My technical skills in Python, SQL, and data analysis, combined with my ability to generate educational content and annotation guidelines, ensure that I consistently deliver precise, reliable data to optimize AI model performance. I am fluent in English, Swahili, and proficient in French, enabling me to work on diverse, multilingual projects.

ExpertSwahiliFrenchEnglish

Labeling Experience

LLM Evaluation & Mathematical Reasoning Annotator

Internal Proprietary ToolingTextClassificationQuestion Answering
Worked on AI training projects requiring advanced evaluation of large language models with a focus on mathematical and statistical accuracy. Created complex prompts involving probability, finance, and data analysis; reviewed AI outputs for logical correctness; and rated model responses against gold standards. Ensured outputs adhered to probabilistic reasoning and statistical rigor while maintaining annotation consistency across thousands of text samples. Contributed to improving model reasoning benchmarks by identifying systematic errors and recommending guideline refinements.

Worked on AI training projects requiring advanced evaluation of large language models with a focus on mathematical and statistical accuracy. Created complex prompts involving probability, finance, and data analysis; reviewed AI outputs for logical correctness; and rated model responses against gold standards. Ensured outputs adhered to probabilistic reasoning and statistical rigor while maintaining annotation consistency across thousands of text samples. Contributed to improving model reasoning benchmarks by identifying systematic errors and recommending guideline refinements.

2017 - 2025

Education

U

University of Nairobi

Bachelor of Science, Computer Science

Bachelor of Science
2014 - 2017

Work History

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