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Lucy Nduta Mwangi

Lucy Nduta Mwangi

AI Training Specialist / Data Annotation & Prompt Evaluation

Kenya flagNairobi, Kenya
ExpertScale AI

Key Skills

Software

Scale AIScale AI

Top Subject Matter

Medical Domain Expertise
Stem Domain Expertise
Coding Domain Expertise

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHFRLHF

Freelancer Overview

AI Training Specialist / Data Annotation & Prompt Evaluation. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI. Education includes Master of Science, Kenyatta University (2022) and Bachelor of Science, Umma University (2019). AI-training focus includes data types such as Text and labeling workflows including RLHF.

Expert

Labeling Experience

Scale AI

AI Training Specialist / Data Annotation & Prompt Evaluation

Scale AITextRLHF
As an AI Training Specialist, I performed large-scale data annotation and text labeling to enhance large language model performance across medical, STEM, coding, and general knowledge domains. My work involved evaluating AI-generated responses for correctness, coherence, safety, and compliance using RLHF frameworks. I specialized in medical AI safety reviews, hallucination detection, and providing structured, actionable feedback for model improvement. • Leveraged clinical expertise to identify medical misinformation and unsafe advice. • Ranked model outputs and documented errors using proprietary and known AI platforms. • Participated in prompt engineering and response rewriting for clarity and safety. • Maintained high productivity benchmarks and quality standards across remote AI training projects.

As an AI Training Specialist, I performed large-scale data annotation and text labeling to enhance large language model performance across medical, STEM, coding, and general knowledge domains. My work involved evaluating AI-generated responses for correctness, coherence, safety, and compliance using RLHF frameworks. I specialized in medical AI safety reviews, hallucination detection, and providing structured, actionable feedback for model improvement. • Leveraged clinical expertise to identify medical misinformation and unsafe advice. • Ranked model outputs and documented errors using proprietary and known AI platforms. • Participated in prompt engineering and response rewriting for clarity and safety. • Maintained high productivity benchmarks and quality standards across remote AI training projects.

2021 - Present

Education

K

Kenyatta University

Master of Science, Nursing Informatics

Master of Science
2020 - 2022
U

Umma University

Bachelor of Science, Nursing and Midwifery

Bachelor of Science
2015 - 2019

Work History

M

Memorial Medical Center

Registered Nurse

Nairobi
2018 - Present