For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
N

Neiman Byerly

AI Data Specialist

USA flag
Seattle, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

AI/General AI Model Training
AI/Supervised Learning

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Classification

Freelancer Overview

AI Data Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. Education includes Master of Science, University of Texas at Austin (2023) and Bachelor of Science, University of California, Los Angeles (UCLA) (2020). AI-training focus includes data types such as Text and labeling workflows including Classification.

Expert

Labeling Experience

AI Data Specialist

TextClassification
As an AI Data Specialist at IBM, I performed data annotation and labeling to improve machine learning model accuracy. I was responsible for collecting, cleaning, and processing large datasets to support model training and deployment. Additionally, I collaborated with data scientists and engineers to optimize AI workflows. • Labeled and annotated textual data for AI training and evaluation. • Ensured data quality and consistency through preprocessing and cleaning steps. • Utilized Python and internal/proprietary tools for annotation tasks. • Assisted in dashboard creation to present insights from labeled data.

As an AI Data Specialist at IBM, I performed data annotation and labeling to improve machine learning model accuracy. I was responsible for collecting, cleaning, and processing large datasets to support model training and deployment. Additionally, I collaborated with data scientists and engineers to optimize AI workflows. • Labeled and annotated textual data for AI training and evaluation. • Ensured data quality and consistency through preprocessing and cleaning steps. • Utilized Python and internal/proprietary tools for annotation tasks. • Assisted in dashboard creation to present insights from labeled data.

2023 - Present

AI Data Annotation Project

TextClassification
During the AI Data Annotation Project, I labeled large datasets to enhance supervised learning models. My work contributed to improving the classification accuracy of the underlying algorithms. I implemented detailed annotation protocols to ensure reliability and high data quality. • Focused on preparing training data for machine learning pipelines. • Followed strict annotation guidelines and best practices in data labeling. • Used Python and N/A tools for annotation due to the project context. • Supported model evaluation by providing curated labeled samples.

During the AI Data Annotation Project, I labeled large datasets to enhance supervised learning models. My work contributed to improving the classification accuracy of the underlying algorithms. I implemented detailed annotation protocols to ensure reliability and high data quality. • Focused on preparing training data for machine learning pipelines. • Followed strict annotation guidelines and best practices in data labeling. • Used Python and N/A tools for annotation due to the project context. • Supported model evaluation by providing curated labeled samples.

2022 - 2022

Education

U

University of Texas at Austin

Master of Science, Data Science

Master of Science
2021 - 2023
U

University of California, Los Angeles (UCLA)

Bachelor of Science, Actuarial Science

Bachelor of Science
2017 - 2020

Work History

A

Amazon

Data Analyst Intern

Seattle
2021 - 2022