Martin Mutua

Key Skills

Software

Appen

Mercor

Scale AI

Toloka

Clickworker

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Text

Top Label Types

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Question Answering

Transcription

Translation Localization

Freelancer Overview

I am an experienced AI Trainer and Data Annotation Specialist with over three years of hands-on work in training large language models and refining AI systems. My expertise includes evaluating and improving AI-generated content for clarity, factual accuracy, and coherence, as well as designing and testing complex prompts to assess model reasoning and creativity. I have a strong track record in annotating, labeling, and categorizing diverse datasets across text-based and multi-domain projects, consistently meeting high accuracy standards and tight deadlines. My technical toolkit includes AI annotation and LLM evaluation platforms, prompt engineering, documentation and quality review systems, and basic Python for data analysis. I thrive in remote, fast-paced environments, collaborating effectively with global teams and adapting quickly to evolving AI guidelines. My advanced English writing skills, attention to detail, and commitment to continuous learning ensure that I deliver reliable, high-quality training data for advanced AI applications.

Labeling Experience

Large Language Model Evaluation & Prompt Testing

AppenTextQuestion AnsweringObject Detection

worked on a large-scale AI training projects focused on improving the performance and reliability of a large language models (LLMs). the scope involved evaluating and annotating high-volume text datasets across diverse subject areas, including STEM, history, culture, and general knowledge

worked on a large-scale AI training projects focused on improving the performance and reliability of a large language models (LLMs). the scope involved evaluating and annotating high-volume text datasets across diverse subject areas, including STEM, history, culture, and general knowledge

2021 - 2025

Education

Work History