Leah Wanyoike

Key Skills

Software

Label Studio

Telus

Top Subject Matter

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Top Data Types

Video

Image

Top Label Types

Evaluation Rating

Entity Ner Classification

Freelancer Overview

I am a detail-oriented data annotator and AI training contributor with hands-on experience in text-based AI model training, data labeling, and annotation. My background in English language and literature, combined with a degree in Information Technology and training in cybersecurity, allows me to accurately evaluate, label, and improve large volumes of textual data for NLP applications. I have worked on projects assessing and refining AI-generated responses, identifying bias, errors, and hallucinations, and applying strict quality rubrics to ensure data consistency and reliability. My freelance work and roles at RWS Group and NovaEdge Digital Services have honed my skills in linguistic analysis, fact-checking, and maintaining confidentiality while meeting tight deadlines. I am adept at adapting to new tools, guidelines, and workflows, and I take pride in delivering high-quality, accurate data that drives AI model performance.

Labeling Experience

Freelance Writer (Upwork) – Text Evaluation and Quality Control

Label StudioVideoEvaluation Rating

As a freelance writer, I reviewed, improved, and assessed written text outputs, evaluating them for tone, contextual relevance, and clarity. I used linguistic analysis to identify errors, bias, and inconsistencies, and adhered to comprehensive client instructions and rubrics. This role demanded accuracy, ongoing critical evaluation, and adaptation to client and project needs. • Evaluated and edited text for quality and relevance. • Used advanced reading comprehension for error and bias detection. • Ensured outputs met evolving instructions and guidelines. • Maintained discretion and professionalism.

As a freelance writer, I reviewed, improved, and assessed written text outputs, evaluating them for tone, contextual relevance, and clarity. I used linguistic analysis to identify errors, bias, and inconsistencies, and adhered to comprehensive client instructions and rubrics. This role demanded accuracy, ongoing critical evaluation, and adaptation to client and project needs. • Evaluated and edited text for quality and relevance. • Used advanced reading comprehension for error and bias detection. • Ensured outputs met evolving instructions and guidelines. • Maintained discretion and professionalism.

2023

Data Annotator/Researcher & AI Training Contributor (RWS Group)

TelusImageEntity Ner Classification

I produced, evaluated, and improved written content according to instructional guidelines to support text-based AI training. I assessed and annotated AI-generated text responses for accuracy, coherence, tone, and context using human judgment and deep linguistic analysis. I labeled and categorized textual data to aid supervised learning and model optimization. • Conducted in-depth linguistic reviews for errors and bias. • Applied scholarly standards for informational reliability. • Performed comparative evaluations of AI outputs. • Maintained accuracy and consistency under high volume workloads.

I produced, evaluated, and improved written content according to instructional guidelines to support text-based AI training. I assessed and annotated AI-generated text responses for accuracy, coherence, tone, and context using human judgment and deep linguistic analysis. I labeled and categorized textual data to aid supervised learning and model optimization. • Conducted in-depth linguistic reviews for errors and bias. • Applied scholarly standards for informational reliability. • Performed comparative evaluations of AI outputs. • Maintained accuracy and consistency under high volume workloads.

2025 - 2025

Education

Work History