Samwel Hyman

Key Skills

Software

Appen

Other

Lionbridge

Top Subject Matter

Natural Language Processing (NLP)

AI Research and Startup Prototypes

Speech Recognition and NLP

Top Data Types

Text

Image

Document

Top Task Types

Classification

Object Detection

Text Generation

Question Answering

Text Summarization

Freelancer Overview

Advanced AI Data Trainer. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Other, and Lionbridge. Education includes Bachelor of Science, Maricopa Community College (2022). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Advanced AI Data Trainer

AppenTextClassification

As an Advanced AI Data Trainer at Appen, I annotated and labeled large datasets for NLP projects requiring high accuracy. My primary responsibilities included evaluating AI-generated responses, reducing inconsistencies, and collaborating on guideline refinement. I ensured that all outputs adhered to rigorous data quality and model reliability standards. • Annotated high-volume text data for sentiment analysis and intent detection. • Conducted quality assurance and corrected labeling inconsistencies. • Evaluated and rated AI responses for contextual accuracy and safety. • Refined annotation guidelines for workflow efficiency.

As an Advanced AI Data Trainer at Appen, I annotated and labeled large datasets for NLP projects requiring high accuracy. My primary responsibilities included evaluating AI-generated responses, reducing inconsistencies, and collaborating on guideline refinement. I ensured that all outputs adhered to rigorous data quality and model reliability standards. • Annotated high-volume text data for sentiment analysis and intent detection. • Conducted quality assurance and corrected labeling inconsistencies. • Evaluated and rated AI responses for contextual accuracy and safety. • Refined annotation guidelines for workflow efficiency.

2025 - Present

Freelance AI Data Annotator

OtherTextClassification

As a Freelance AI Data Annotator, I independently undertook multiple annotation projects involving text, audio, and image data. These projects involved adhering strictly to client specifications and performing data cleaning and categorization. I consistently delivered high-quality, error-free annotated datasets on time. • Completed text, audio, and image annotation for startups and research clients. • Cleaned and categorized data to enhance client dataset usability. • Met client guidelines and achieved positive feedback. • Delivered annotated datasets within agreed project timelines.

As a Freelance AI Data Annotator, I independently undertook multiple annotation projects involving text, audio, and image data. These projects involved adhering strictly to client specifications and performing data cleaning and categorization. I consistently delivered high-quality, error-free annotated datasets on time. • Completed text, audio, and image annotation for startups and research clients. • Cleaned and categorized data to enhance client dataset usability. • Met client guidelines and achieved positive feedback. • Delivered annotated datasets within agreed project timelines.

2022 - Present

Junior AI Data Specialist

LionbridgeTextClassification

During my tenure as a Junior AI Data Specialist at Lionbridge, I labeled over 50,000 multilingual text and audio samples for speech recognition and NLP tasks. I conducted response testing and developed resources to streamline annotation workflows. My contributions led to measurable improvements in model accuracy and dataset consistency. • Labeled multilingual text and audio for speech recognition models. • Conducted response testing and validation for NLP models. • Authored guidelines to support new annotators. • Reduced data inconsistencies through extensive validation checks.

During my tenure as a Junior AI Data Specialist at Lionbridge, I labeled over 50,000 multilingual text and audio samples for speech recognition and NLP tasks. I conducted response testing and developed resources to streamline annotation workflows. My contributions led to measurable improvements in model accuracy and dataset consistency. • Labeled multilingual text and audio for speech recognition models. • Conducted response testing and validation for NLP models. • Authored guidelines to support new annotators. • Reduced data inconsistencies through extensive validation checks.

2023 - 2023

Education

Work History