Stephen O.

Key Skills

Software

Surge AI

V7 Labs

Labelbox

Label Studio

Scale AI

Toloka

Appen

Remotasks

Mindrift

OneForma

Datasaur

Argilla

AWS SageMaker

Doccano

Google Cloud Vertex AI

Top Subject Matter

Clinical Accuracy & Fact-Checking - Verifying medical advice, drug interactions, and diagnostic logic against trusted sources (PubMed, Mayo Clinic, etc.).

Medical Ethics & Safety - Red-teaming models to ensure they provide appropriate disclaimers and avoid giving dangerous, unsupervised medical prescriptions.

Patient Education & Communication - Refining AI responses to be empathetic, easy for laypeople to understand, and culturally sensitive.

Top Data Types

Text

Document

Top Task Types

Question Answering

Text Summarization

RLHF

Text Generation

Segmentation

Classification

Prompt + Response Writing (SFT)

Data Collection

Evaluation/Rating

Transcription

Red Teaming

Entity (NER) Classification

Point/Key Point

Freelancer Overview

I have experience reviewing, testing, and evaluating AI-assisted content and digital workflows with a strong focus on quality assurance, instruction adherence, and structured feedback. My work has involved validating outputs, identifying inconsistencies, categorizing issues, reviewing user-facing content, and analyzing workflow behavior across mobile and web applications. I am comfortable working with repetitive evaluation tasks, detailed guidelines, and accuracy-focused review processes. In addition, I have experience working with structured datasets, content organization, text evaluation, and usability testing within AI-assisted systems and digital products. My background in product testing and workflow validation has strengthened my attention to detail, analytical thinking, and ability to provide consistent, high-quality feedback across large volumes of tasks.

Labeling Experience

Prompt Response Evaluation & QA

TextEvaluation/Rating

Performed structured evaluation of AI-generated responses and workflow outputs by rating response quality, instruction adherence, logical consistency, and usability. Identified edge cases, documented issues, and contributed feedback to improve system reliability and user-facing experiences.

2025 - Present

AI Output Review & Prompt Evaluation

TextRLHF

Reviewed and evaluated AI-assisted responses and digital workflows for clarity, consistency, instruction adherence, and usability. Tasks included identifying inaccurate or inconsistent outputs, validating logical flow, categorizing response quality, and providing structured feedback to improve overall user experience and output reliability across mobile and web-based systems.

2025 - Present

AI Output Review & Workflow Evaluation

TextTranscription

Reviewed and evaluated AI-assisted outputs and workflow behaviors across mobile and web applications. Tasks included validating instruction adherence, identifying inconsistencies, categorizing errors, reviewing generated text quality, and documenting usability issues. Worked with structured evaluation guidelines to improve response quality, workflow accuracy, and user experience consistency.

2024 - 2026

Text Categorization & Content Review

TextSegmentation

Reviewed and categorized text-based content according to predefined quality and formatting guidelines. Identified inconsistencies, evaluated response accuracy, documented usability concerns, and maintained high attention to detail across repetitive review and validation tasks.

2025 - 2025

Text Review & Content Categorization

TextClassification

Reviewed and categorized text-based content using predefined guidelines to maintain consistency, accuracy, and clarity. Identified formatting issues, inconsistent outputs, usability concerns, and classification errors while maintaining high attention to detail across repetitive review tasks.

2025 - 2025

Education

Work History