Alex Gichangiru

Key Skills

Software

CloudFactory

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Evaluation Rating

Prompt Response Writing SFT

Red Teaming

Text Generation

Freelancer Overview

I am a detail-oriented AI annotator and writer with extensive hands-on experience supporting the training and evaluation of large language models across global projects such as CrowdGen, iMerit, Mercor, Welocalize, and Uber AI Solutions. My background includes applying complex annotation guidelines, performing data labeling, evaluating AI-generated content for factual accuracy and safety, and structuring high-quality datasets for natural language processing tasks. I am skilled in prompt–response analysis, AI red teaming, hallucination detection, and quality assurance, with a strong command of English (C2 proficiency) and advanced data analytics training. I thrive in remote, fast-paced environments and am committed to delivering precise, actionable data that drives AI model improvement and alignment.

Labeling Experience

LLM DATA LABLING

CloudfactoryVideoText GenerationEvaluation Rating

Worked on AI data annotation and evaluation projects involving text generation and rating tasks. Responsibilities included reviewing AI-generated responses, labeling datasets, and rating outputs based on relevance, accuracy, and language quality. Used CloudFactory’s annotation platform to tag and evaluate large volumes of data for machine learning model training. Ensured high-quality outputs by following detailed labeling guidelines, maintaining consistency across tasks, and meeting strict quality assurance standards. Collaborated with QA teams to review feedback and improve annotation accuracy while handling large datasets within project deadlines.

Worked on AI data annotation and evaluation projects involving text generation and rating tasks. Responsibilities included reviewing AI-generated responses, labeling datasets, and rating outputs based on relevance, accuracy, and language quality. Used CloudFactory’s annotation platform to tag and evaluate large volumes of data for machine learning model training. Ensured high-quality outputs by following detailed labeling guidelines, maintaining consistency across tasks, and meeting strict quality assurance standards. Collaborated with QA teams to review feedback and improve annotation accuracy while handling large datasets within project deadlines.

2024 - 2025

Education

Work History