Nicholas Musyoka

Key Skills

Software

Labelbox

Mercor

Mindrift

OneForma

Remotasks

Toloka

Telus

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Task Types

Computer Programming/Coding

Prompt + Response Writing (SFT)

Freelancer Overview

I am an accomplished Computer Science professional with a firm foundation in full-stack development and technical problem-solving, applying my expertise to data labeling, LLM evaluation, and AI training workflows. Having 4+ years of hands-on experience in developing scalable web applications, designing optimized databases, and system performance improvement, I bring a high level of analytical thinking, attention to detail, and data quality discipline to every task. In addition, my technical background ensures that I have deeper insight into data structures, logic, ambiguity resolution, and annotation consistency-all characteristics needed for the creation of reliable AI training data. I provide value in text-based evaluations, content labeling, data categorization, prompt/response analysis, and structured annotation for machine learning models. My experience mentoring developers, documenting systems, and collaborating with cross-functional teams enables me to understand and follow complex instructions with a high degree of accuracy, communicate findings effectively, and handle fine-grained text classification. Reviewing model outputs or validating structured data, whatever be the task at hand, always results in my delivery of accurate, consistent, and quality results. I am committed to supporting AI systems that learn from clean, accurate, and ethically aligned data.

Labeling Experience

AI training

Scale AIComputer Code ProgrammingText GenerationEvaluation Rating

I took part in an AI training and evaluation project aimed at large language models' improvement in understanding, generating, and analyzing computer code. This included reviewing model-generated code in various programming languages for logical and structural issues and labeling outputs based on accuracy, security, and best practices. Further, I did text-based tasks related to classification of prompts, model response rating, creation of high-quality instructions, and writing improved solutions for SFT. The project had hundreds of tasks entailing debugging, explaining code, function-call validation, and step-by-step reasoning checking. Every code submission was done while strictly following the guidelines on accuracy, consistency, reproducibility, and confidentiality. My full-stack development background in languages such as HTML, CSS, JavaScript, PHP, and MySQL made me qualified enough to provide high-quality annotations that enhance model performance with even the most complex code

I took part in an AI training and evaluation project aimed at large language models' improvement in understanding, generating, and analyzing computer code. This included reviewing model-generated code in various programming languages for logical and structural issues and labeling outputs based on accuracy, security, and best practices. Further, I did text-based tasks related to classification of prompts, model response rating, creation of high-quality instructions, and writing improved solutions for SFT. The project had hundreds of tasks entailing debugging, explaining code, function-call validation, and step-by-step reasoning checking. Every code submission was done while strictly following the guidelines on accuracy, consistency, reproducibility, and confidentiality. My full-stack development background in languages such as HTML, CSS, JavaScript, PHP, and MySQL made me qualified enough to provide high-quality annotations that enhance model performance with even the most complex code

2022 - 2024

Education

Work History