Dexavier Bookman

Key Skills

Software

Appen

CloudFactory

CVAT

Data Annotation Tech

Labelbox

Mindrift

Scale AI

Snorkel AI

SuperAnnotate

AWS SageMaker

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Label Types

Data Collection

Evaluation Rating

Prompt Response Writing SFT

RLHF

Text Summarization

Freelancer Overview

Highly motivated Data Annotator with advanced expertise in Engineering and a proven ability to manage and label multi-modal data. Experienced in creating high-quality multiple-choice questions, reviewing large datasets, and performing quality assurance for AI model training. Demonstrated technical aptitude and attention to detail in a remote, independent work environment. Committed to contributing to cutting-edge AI development projects with a focus on precision and efficiency.

Labeling Experience

Freelance Data Annotator (2023-Present)

LabelboxTextEntity Ner ClassificationClassification

As a Freelance Data Annotator, I worked on multiple AI training projects, including labeling Python code snippets and creating technical prompts for STEM-related AI tools. Key tasks included: 1.Tagging Python functions, variables, and errors for AI model training. 2.Developing structured prompts and responses to improve model performance. 3.Conduction QA checks to ensure labeling consistency and accuracy across datasets. 4.Collaborating with AI developers to refine labeling quidelines and improve dataset quality.

As a Freelance Data Annotator, I worked on multiple AI training projects, including labeling Python code snippets and creating technical prompts for STEM-related AI tools. Key tasks included: 1.Tagging Python functions, variables, and errors for AI model training. 2.Developing structured prompts and responses to improve model performance. 3.Conduction QA checks to ensure labeling consistency and accuracy across datasets. 4.Collaborating with AI developers to refine labeling quidelines and improve dataset quality.

2023 - 2024

AI Model Training Dataset Annotation (2023)

Aws SagemakerComputer Code ProgrammingEntity Ner ClassificationClassification

In this project, I annotated 1000+ Python code snippets and technical prompts to create a structured dataset for AI model training. Key tasks included tagging python functions, algorithms, and errors, developing structured prompts and responses, conducting QA checks, and collaborating with AI developers to refine labeling guidelines. I used Labelbox and Amazon SageMaker for annotation tasks, ensuring adherence to strict technical guidelines. This project contributed to the development of robust AI models for educational and technical applications.

In this project, I annotated 1000+ Python code snippets and technical prompts to create a structured dataset for AI model training. Key tasks included tagging python functions, algorithms, and errors, developing structured prompts and responses, conducting QA checks, and collaborating with AI developers to refine labeling guidelines. I used Labelbox and Amazon SageMaker for annotation tasks, ensuring adherence to strict technical guidelines. This project contributed to the development of robust AI models for educational and technical applications.

2023 - 2023

Research Assistant/Data Analyst

OtherComputer Code ProgrammingEntity Ner ClassificationClassification

As a Research Assistant at UC Berkeley, I contributed to AI-based research projects by labeling and analyzing data for machine learning models. Key tasks included labeling engineering simulation code (Python/C++), conducting QA checks, collaborating with research teams to refine labeling strategies, and organizing large datasets using Excel and Google Sheets. This role required a strong attention to detail and technical precision, ensuring high-quality datasets for AI model training.

As a Research Assistant at UC Berkeley, I contributed to AI-based research projects by labeling and analyzing data for machine learning models. Key tasks included labeling engineering simulation code (Python/C++), conducting QA checks, collaborating with research teams to refine labeling strategies, and organizing large datasets using Excel and Google Sheets. This role required a strong attention to detail and technical precision, ensuring high-quality datasets for AI model training.

2020 - 2023

Education

Work History