David M.

Key Skills

Software

Other

Appen

CVAT

Prodigy

Micro1

Doccano

Top Subject Matter

AI data labeling and quality assurance

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Video

Audio

Top Task Types

Classification

Text Summarization

Transcription

Data Collection

Polygon

Freelancer Overview

I am an undergraduate Physiotherapy student with growing experience in AI data labeling, annotation, and training data evaluation through structured remote tasks and academic-related digital work. I have been involved in reviewing and categorizing data, validating labeled outputs, and assessing AI-generated responses based on predefined guidelines. This has strengthened my attention to detail, analytical thinking, and ability to maintain consistency and accuracy when working with structured datasets. I am also proficient in Microsoft 365 tools, which I use for documentation, reporting, and organizing workflow tasks efficiently in remote environments. What sets me apart is my combination of strong scientific academic training and practical exposure to AI-related workflows such as prompt engineering, artifact evaluation, and quality assurance. My background in physiology and biomedical sciences enhances my ability to interpret structured information critically, while my experience in remote collaboration has helped me develop professionalism, communication skills, and data privacy awareness. I am adaptable, quick to learn new annotation guidelines, and committed to producing high-quality, reliable training data that supports accurate AI system development.

Labeling Experience

AI Data Labeling & Digital Support Assistant (Freelance / Remote)

OtherText

Freelance remote assistant performing AI data labeling, annotation, categorization, validation, and review tasks under project guidelines. They reviewed AI-generated outputs and conducted artifact evaluation and quality assurance checks to ensure compliance with task requirements. They also supported prompt engineering and evaluation workflows while correcting labeling issues and maintaining structured datasets. • Data labeling, annotation, and categorization for AI tasks • Data validation and quality assurance review against guidelines • AI response evaluation and artifact evaluation • Workflow optimization and remote team coordination using Microsoft 365

2023 - Present

TEXT CLASSIFICATION

TextClassification

Performed structured data labeling tasks including text classification, categorization, and sentiment/intent identification following strict annotation guidelines.

2026 - 2026

Education

Work History