Jonathan W.

Key Skills

Software

Anno-Mage

Appen

Clickworker

Data Annotation Tech

Lionbridge

OneForma

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Data Collection

Emotion Recognition

Evaluation/Rating

Fine-tuning

Prompt + Response Writing (SFT)

Freelancer Overview

"In my role as an AI Data Analyst & Annotator at DataAnnotation.Tech. X.AI, and Outlier.AI, I annotate and label various data types according to project guidelines and specifications. Prompt creation, conversation evaluation, and prompt criteria training are some of my most engaged in projects, currently. I have over a year of experience in the field as of 2025, collaborating with data scientists and engineers to ensure high-quality annotated data for machine learning models and other LLM projects. I am skilled in maintaining organized records, applying new annotation techniques, communicating effectively with project leads, and adhering to project deadlines. Additionally, I have a high satisfaction rate from clients regarding my skill level in reviewing, rating, and auditing submitted data annotation tasks completed by other contractors, reviewing them for completeness, accuracy and making suggestions for improvement/editing existing submissions for complete accuracy. Tagging and labeling data is also a skill I have much experience with and is complimentary other annotation tasks. This experience is complemented by my strong attention to detail, technical support expertise, and proficiency in hardware and software, which allows me to take a comprehensive approach to data quality and project requirements. My ability to adapt quickly, learn continuously, and collaborate effectively further enhances my capacity to contribute to AI training data projects.

Labeling Experience

image Categorization \ Ontology Assignment

Data Annotation TechTextRelationshipClassification

In this still ongoing project, I engage in higher-level review and rating tasks specifically used for labeling and classification purposes, distributed to data annotation workers for fine-grain criteria refinement.

2024

Education

Work History