William M.

Key Skills

Software

Appen

Remotasks

Other

Top Subject Matter

AI training datasets for text classification (NLP)

AI dataset review and quality assurance

Dataset preparation via data entry and verification

Top Data Types

Text

Document

Image

Top Task Types

Classification

Data Collection

Freelancer Overview

Core strengths include Appen, Remotasks, and Other. Education includes Bachelor of Science, University of Arkansas, Fayetteville (2022). AI-training focus includes data types such as Text and Document and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Annotator (Appen, Remote) - March 2023–Present

AppenTextClassification

Labeled datasets for AI training, including text classification and related tasks, ensuring outputs met project specifications. Performed annotation review and validation to maintain consistency and accuracy across the dataset. Worked under strict guidelines and quality standards to deliver reliable labels for machine learning models. • Annotate and label text classification datasets for AI training. • Review and validate annotations for consistency and accuracy. • Follow strict project guidelines and quality standards. • Support dataset preparation for downstream model use.

2023 - Present

AI Data Reviewer (Remotasks, Remote) - June 2022–February 2023

RemotasksText

Reviewed annotated datasets to ensure compliance with project rules and labeling standards. Corrected annotation errors and improved overall dataset quality. Maintained high labeling accuracy to support reliable AI training outcomes. • Reviewed annotated data for compliance with project rules. • Corrected errors and improved dataset quality. • Maintained accuracy rate above 95%. • Ensured annotations met quality and consistency requirements.

2022 - 2023

Data Entry Clerk (Arkansas Data Solutions, Little Rock, AR) - January 2021–May 2022

OtherDocumentData Collection

Managed and entered large volumes of data with attention to accuracy. Verified and corrected discrepancies during data entry to improve data reliability. Organized datasets for processing to support downstream use. • Entered and managed large volumes of data. • Verified accuracy and corrected discrepancies. • Organized datasets for processing. • Performed data handling tasks supporting dataset preparation.

2021 - 2022

Education

Work History