Cliford Fanyuy

Key Skills

Software

Appen

Axiom AI

CrowdSource

CVAT

Google Cloud Vertex AI

Scale AI

Snorkel AI

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

No data types listed

Top Task Types

Audio Recording

Classification

Computer Programming Coding

Data Collection

Object Detection

Freelancer Overview

I’ve spent the last three years specializing in AI training data and data labeling, contributing to high-impact projects on platforms like Amazon Mechanical Turk and Snorkel AI. I’ve annotated text, image, and audio datasets—ranging from named entity recognition and sentiment classification to bounding‐box and segmentation tasks—achieving over 97% QA accuracy by meticulously following tagging schemas and ontologies. My familiarity with tools such as Labelbox, CVAT, Prodigy, and Snorkel Flow allows me to quickly onboard new projects and maintain consistency across large volumes of data. Beyond tool proficiency, I’ve partnered closely with ML engineers and researchers to refine label definitions, troubleshoot edge cases, and implement weak‑supervision strategies using labeling functions and heuristic rules. Highlights include curating HIPAA‑compliant clinical note annotations for healthcare NLP pipelines and building intent‑classification datasets for multilingual chatbots. This blend of technical rigor, collaborative problem‑solving, and domain versatility ensures high‑quality training data that accelerates model performance and reliability.

Labeling Experience

data annotator

Data Annotation TechComputer Code ProgrammingEntity Ner Classification

data engineer for snorkel ai

data engineer for snorkel ai

2022 - 2025

Education

Work History