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Roselyn Mungai

Roselyn Mungai

AI Training & Technical Lead (Specializing in Domain Alignment)

Kenya flagNairobi, Kenya
$30.00/hrExpertAppenClickworkerImerit

Key Skills

Software

AppenAppen
ClickworkerClickworker
iMeritiMerit
MercorMercor
Micro1
MindriftMindrift
RemotasksRemotasks

Top Subject Matter

Legal Compliance
Behavioral Science
Criminology Domain Expertise

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

Prompt Response Writing SFT
Classification
Text Generation
Question Answering
Text Summarization

Freelancer Overview

AI Training & Technical Lead (Specializing in Domain Alignment). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Arts, Kibabii University (2018) and Diplôme D'études en Langue Française B1, Alliance Française. AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT) and Classification.

ExpertFrenchEnglish

Labeling Experience

AI Training & Technical Lead (Specializing in Domain Alignment)

TextPrompt Response Writing SFT
As AI Training & Technical Lead, I designed and refined detailed instruction sets for data labeling teams to enhance dataset accuracy, particularly for Care Reform and Legal Compliance datasets. My role included leading the development of logical frameworks to evaluate complex behavioral scenarios and auditing AI outputs for alignment with ethical and legal standards. I also served as the final technical reviewer for high-stakes datasets, ensuring data integrity and compliance throughout the labeling process. • Led prompt optimization and structured reasoning for LLM training in specialist domains. • Audited and corrected behavioral and legal compliance datasets for quality and safety. • Authored technical training modules for over 100 professionals in data labeling best practices. • Utilized tools such as ChatGPT (GPT-4), Claude 3.5, and Gemini within proprietary/internal systems.

As AI Training & Technical Lead, I designed and refined detailed instruction sets for data labeling teams to enhance dataset accuracy, particularly for Care Reform and Legal Compliance datasets. My role included leading the development of logical frameworks to evaluate complex behavioral scenarios and auditing AI outputs for alignment with ethical and legal standards. I also served as the final technical reviewer for high-stakes datasets, ensuring data integrity and compliance throughout the labeling process. • Led prompt optimization and structured reasoning for LLM training in specialist domains. • Audited and corrected behavioral and legal compliance datasets for quality and safety. • Authored technical training modules for over 100 professionals in data labeling best practices. • Utilized tools such as ChatGPT (GPT-4), Claude 3.5, and Gemini within proprietary/internal systems.

2023 - Present

AI Data Specialist - Behavioral Analysis & Advocacy

TextClassification
As an AI Data Specialist, I categorized and labeled case management and child protection data to track intervention trends and measure impact. My work involved mapping stakeholder logic to create efficient referral networks and developing MEAL indicators for program evaluation. I ensured high dataset fidelity through meticulous data annotation and performance monitoring protocols. • Labeled extensive psychosocial and child protection records for input to AI models. • Developed measurable labeling indicators embedded within monitoring frameworks. • Leveraged quality assurance protocols for social intervention datasets. • Utilized general office and research software as well as internal tools for annotation tasks.

As an AI Data Specialist, I categorized and labeled case management and child protection data to track intervention trends and measure impact. My work involved mapping stakeholder logic to create efficient referral networks and developing MEAL indicators for program evaluation. I ensured high dataset fidelity through meticulous data annotation and performance monitoring protocols. • Labeled extensive psychosocial and child protection records for input to AI models. • Developed measurable labeling indicators embedded within monitoring frameworks. • Leveraged quality assurance protocols for social intervention datasets. • Utilized general office and research software as well as internal tools for annotation tasks.

2020 - 2021

Education

K

Kibabii University

Bachelor of Arts, Criminology and Criminal Justice

Bachelor of Arts
2018 - 2018
A

Alliance Française

Diplôme D'études en Langue Française A2, French Language Studies

Diplôme D'études en Langue Française A2
Not specified

Work History

C

CEFA Kenya

Technical Analyst - Criminology & Reintegration

Nairobi
2019 - 2020