Raphael Kamau

Key Skills

Software

Internal/Proprietary Tooling

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Video

Top Task Types

Text Generation

Audio Recording

Computer Programming Coding

Transcription

Freelancer Overview

I am an experienced AI data labeling and quality specialist with a strong background in evaluating and refining AI and LLM outputs for accuracy, guideline compliance, and cultural relevance. My work has involved managing complex multilingual datasets, training AI models across a wide range of programming languages, and collaborating closely with data scientists to enhance labeling guidelines and boost team efficiency. I am highly skilled in tools such as Python, SQL, and cloud platforms like AWS and Google Cloud, and have consistently delivered 99% precision in data annotation tasks. My expertise spans refining dialog flows, validating code generation, and improving model accuracy, making me adept at bridging technical requirements with high-quality training data for AI solutions.

Labeling Experience

Translation and transcription

OtherVideoText GenerationTranscription

Transcribed over 500 videos on echolabs

Transcribed over 500 videos on echolabs

2024 - 2024

Programming

Scale AIComputer Code ProgrammingComputer Programming Coding

Correcting codes, suggesting and improving existing codes.

Correcting codes, suggesting and improving existing codes.

2024 - 2024

Audio Data Labelling

Internal Proprietary ToolingAudioText GenerationAudio Recording

In 2025, I contributed to a large-scale English speech transcription project for an international AI company. I transcribed and cleaned over 200 hours of audio from non-native English speakers, ensuring grammatical accuracy and consistency across diverse accents. The project required strict adherence to style guidelines, and my work consistently met a 98%+ accuracy rate in quality reviews.

In 2025, I contributed to a large-scale English speech transcription project for an international AI company. I transcribed and cleaned over 200 hours of audio from non-native English speakers, ensuring grammatical accuracy and consistency across diverse accents. The project required strict adherence to style guidelines, and my work consistently met a 98%+ accuracy rate in quality reviews.

2024 - 2024

Education

Work History