Regan Simiyu

Key Skills

Software

Appen

Mindrift

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Image

Text

Video

Top Label Types

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

Question Answering

RLHF

Segmentation

Text Generation

Freelancer Overview

I am a detail-oriented Mathematics graduate with hands-on experience in reviewing and annotating AI-generated mathematical content for clarity, correctness, and logical consistency. My background includes prompt engineering, quality assurance, and structured data evaluation, where I have analyzed outputs, detected errors, and ensured accuracy across algebra, calculus, statistics, and discrete math. I have worked extensively with structured data formats like JSON and have basic Python skills, which I used to build automated problem generators and validate outputs. My experience as a mathematics tutor and research assistant has further strengthened my ability to break down complex concepts, design step-by-step solutions, and evaluate both human and AI-generated reasoning. I am passionate about using my analytical and educational skills to improve the quality and reliability of AI training data.

Labeling Experience

Reinforcement Learning from Human Feedback

Scale AIComputer Code ProgrammingRLHFFine Tuning

The project focused on improving AI performance through Reinforcement Learning from Human Feedback (RLHF) in software engineering tasks. I evaluated and rated AI-generated code for correctness, efficiency, readability, and best practices, reviewing code completions, debugging solutions, algorithms, and technical explanations across multiple languages. Quality was ensured through structured rating scales, attention to accuracy, functionality, security, and coding standards, with consistent evaluations guided by clear rubrics and reliability checks.

The project focused on improving AI performance through Reinforcement Learning from Human Feedback (RLHF) in software engineering tasks. I evaluated and rated AI-generated code for correctness, efficiency, readability, and best practices, reviewing code completions, debugging solutions, algorithms, and technical explanations across multiple languages. Quality was ensured through structured rating scales, attention to accuracy, functionality, security, and coding standards, with consistent evaluations guided by clear rubrics and reliability checks.

2025 - 2025

Transcription

AppenAudioSegmentation

The project focused on transcribing clinical audio such as surgical procedures, doctor–patient consultations, and diagnostic sessions. My role involved accurately capturing complex medical terminology, identifying different speakers, adding timestamps for key moments, and ensuring verbatim documentation of all clinical dialogue. High quality was essential, with over 98% accuracy maintained, strict adherence to HIPAA standards, proper medical formatting, and careful proofreading to avoid errors that could affect patient care or legal records.

The project focused on transcribing clinical audio such as surgical procedures, doctor–patient consultations, and diagnostic sessions. My role involved accurately capturing complex medical terminology, identifying different speakers, adding timestamps for key moments, and ensuring verbatim documentation of all clinical dialogue. High quality was essential, with over 98% accuracy maintained, strict adherence to HIPAA standards, proper medical formatting, and careful proofreading to avoid errors that could affect patient care or legal records.

2024 - 2025

Education

Work History