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Joseph Ndubi

Joseph Ndubi

Remotasks

Key Skills

Software

RemotasksRemotasks

Top Subject Matter

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Freelancer Overview

I am a detail-oriented AI data annotator and trainer with over three years of experience specializing in large language model collaboration, data labeling, and annotation for NLP and conversational AI projects. My expertise includes prompt engineering, complex guideline adherence, intent and fact-checking, and source-backed verification to ensure high-quality, evidence-based outputs. I have hands-on experience with Remotask and Handshake AI platforms, working on projects like "Project Hedgehog," where I annotated and evaluated financial analysis conversational data in both Swahili and English. My strong research, analytic, and quality assurance skills allow me to deliver accurate, culturally relevant, and logically sound training data, while my project management background enables me to optimize workflows and consistently meet high quality standards in remote, agile environments.

Not specified

Labeling Experience

Remotasks

AI Data Annotator & Trainer (Freelance)

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As an AI Data Annotator & Trainer for Handshake AI/Remotask, I specialize in labeling and annotating multimodal datasets, primarily text and images, to train large language models and computer vision systems. My responsibilities also include the evaluation and feedback cycles for iterative AI model improvement, with extensive focus on Swahili and English language data. I actively contribute to quality rating and content validation within high-profile projects such as Project Hedgehog. • Labeled, proofread, and annotated Swahili and English texts to ensure grammatical, factual, and cultural accuracy. • Evaluated large language model outputs for relevance, correctness, and reduced hallucinations. • Enhanced annotation throughput by optimizing workflow and adhering to project quality standards (>98% accuracy). • Completed 50+ annotation tasks across 10+ projects, covering sentiment analysis, intent classification, and NER.

As an AI Data Annotator & Trainer for Handshake AI/Remotask, I specialize in labeling and annotating multimodal datasets, primarily text and images, to train large language models and computer vision systems. My responsibilities also include the evaluation and feedback cycles for iterative AI model improvement, with extensive focus on Swahili and English language data. I actively contribute to quality rating and content validation within high-profile projects such as Project Hedgehog. • Labeled, proofread, and annotated Swahili and English texts to ensure grammatical, factual, and cultural accuracy. • Evaluated large language model outputs for relevance, correctness, and reduced hallucinations. • Enhanced annotation throughput by optimizing workflow and adhering to project quality standards (>98% accuracy). • Completed 50+ annotation tasks across 10+ projects, covering sentiment analysis, intent classification, and NER.

2023

Education

D

Dedan Kimathi University

Bachelor of Science, Project Management

Bachelor of Science
2016 - 2020

Work History

K

Kuehne+Nagel

Project Coordinator Assistant

Nairobi
2019 - 2022