Chancey Ayuyo

Key Skills

Software

Appen

CloudFactory

Figure Eight

Remotasks

Sama

Toloka

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Entity Ner Classification

Evaluation Rating

Mapping

Prompt Response Writing SFT

Freelancer Overview

I have hands-on experience in AI training and data labeling through my work as an AI Researcher, where I managed infrastructure and development projects across multiple machine learning workflows. My role included implementing ML algorithms and deploying AI tools tailored to dynamic research parameters. I’ve contributed directly to training data pipelines by labeling, curating, and structuring datasets for NLP and content generation models. In addition to technical contributions, I specialize in evaluating and improving AI-generated text by applying strict rubrics for grammar, brevity, coherence, and factual correctness. I also write original, high-quality content used in training and benchmarking models, combining strong language skills with a deep understanding of AI systems. This blend of linguistic precision, critical evaluation, and technical expertise uniquely positions me to produce and refine high-quality AI training data at scale.

Labeling Experience

Crescent

AppenTextText GenerationText Summarization

Project Crescent was a large-scale, text-based data labeling initiative focused on enhancing the performance of AI systems across multiple applications, including sentiment analysis, search engine result evaluation, and text classification. The project aimed to leverage the collective intelligence of a diverse group of contributors to train and fine-tune machine learning models used in real-world natural language processing tasks.

Project Crescent was a large-scale, text-based data labeling initiative focused on enhancing the performance of AI systems across multiple applications, including sentiment analysis, search engine result evaluation, and text classification. The project aimed to leverage the collective intelligence of a diverse group of contributors to train and fine-tune machine learning models used in real-world natural language processing tasks.

2022 - 2023

Education

Work History