Vincent O.

Key Skills

Software

CVAT

Label Studio

Prodigy

Top Subject Matter

Medical / Clinical content evaluation

Multimodal video capture annotation & QA

AI training data QA / reasoning evaluation

Top Data Types

Text

Video

Document

Top Task Types

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

RLHF

Text Generation

Question Answering

Object Detection

Fine-tuning

Freelancer Overview

Medical AI Evaluator — Language & Content Accuracy (Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor of Medicine and Bachelor of Surgery, Kenyatta University (2025) and Bachelor of Arts, United States International University (2020). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Generalist & Video Capture Annotator — AtlasCaptureAI (Remote)

Video

Contributed to AI training and evaluation workflows involving video capture annotation and multimodal review. Evaluated visual and text-based outputs for consistency, instruction adherence, and annotation accuracy across AI data pipelines. Performed detailed labeling, review, and validation of captured content while maintaining high throughput and quality. • Reviewed multimodal outputs for logical consistency and guideline compliance • Adapted to evolving project requirements and annotation guidelines • Used structured review systems and feedback-driven quality improvement workflows • Coordinated with distributed remote teams on validation and throughput goals

2025 - Present

Language Reviewer & Content Quality Specialist (Remote)

OtherText

Performed structured quality review of medical and general content for grammar, tone, clarity, consistency, and logical flow. Delivered actionable editorial feedback to improve readability, organization, and communication quality against internal style and quality standards. Identified inconsistencies, ambiguities, and formatting issues while maintaining confidentiality for sensitive information. • Reviewed written materials for coherence and logical progression • Provided content auditing feedback to support deadline-driven remote review workflows • Maintained confidentiality and process compliance during remote collaboration • Supported quality improvements through standardized review criteria

2024 - Present

Medical AI Evaluator — Language & Content Accuracy (Remote)

OtherText

Evaluated AI-generated medical content for clinical accuracy, clarity, coherence, terminology consistency, and evidence alignment. Flagged ambiguous, misleading, or factually inconsistent outputs and provided structured remediation feedback to improve reliability. Supported quality assurance workflows by identifying recurring language and reasoning errors across generated medical content. • Assessed instruction adherence and logical reasoning quality for healthcare outputs • Collaborated with distributed technical and research teams to improve readability and medical accuracy • Performed content review using clinical guidance and evidence-based healthcare standards • Delivered concise, actionable reviewer feedback for iterative model improvement

2024 - Present

AI Generalist / Human Data Specialist — Yellowstone; Micro1 (Remote)

Text

Reviewed and validated AI training data and human-generated task outputs using structured quality assurance workflows. Assessed correctness, consistency, logical reasoning, and instruction adherence across high-volume evaluation tasks. Identified workflow ambiguities and annotation inconsistencies and provided actionable feedback to improve dataset quality and review efficiency. • Performed reasoning-based and real-world scenario assessment tasks • Maintained reliable performance using internal review and task management systems • Supported remote AI evaluation pipelines with structured annotation guideline adherence • Ensured review consistency in fast-paced distributed contractor environments

2026 - 2026

AI Data Annotator & Quality Reviewer — Outlier (Remote)

Text

Reviewed contributor-generated AI training data across multiple AI evaluation projects using structured quality rubrics and annotation guidelines. Evaluated outputs for factual accuracy, coherence, clarity, reasoning quality, and instruction adherence while delivering concise reviewer feedback. Conducted fact-checking and source verification using authoritative references to improve evaluation reliability. • Verified claims using WHO, CDC, PubMed, and other reference sources • Maintained attention to detail and review consistency in high-throughput asynchronous remote workflows • Adapted quickly to changing project requirements without compromising accuracy • Applied structured reviewer feedback for iterative data quality improvements

2023 - 2025

Education

Work History