Ryan W.

Key Skills

Software

Other

Data Annotation Tech

Top Subject Matter

Electrical Engineering

Mathematics Domain Expertise

Physics (STEM)

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

RLHF

Question Answering

Freelancer Overview

Technical AI Data Annotator & Domain Expert (Online Freelance / AI Training Platforms). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science in Electrical Engineering, Technical University of Mombasa (2026) and Kenya Certificate of Secondary Education, Friends School Kamusinga (2019). AI-training focus includes data types such as Image and Text and labeling workflows including Segmentation and RLHF.

Labeling Experience

Technical AI Data Annotator & Domain Expert (Online Freelance / AI Training Platforms)

OtherTextRLHF

Reviewed, ranked, and evaluated LLM responses for technical accuracy, clarity, and safety as part of an RLHF-style training workflow. Wrote detailed written justifications for required model corrections to guide improved model behavior. Performed hallucination detection and ensured responses met domain-specific constraints for reliable training data. • RLHF response ranking and justification writing • Technical accuracy and safety evaluation • Hallucination identification and correction guidance • Clarification of edge cases in STEM responses

2024 - Present

Technical AI Data Annotator & Domain Expert (Online Freelance / AI Training Platforms)

OtherImageSegmentation

Annotated and labeled computer vision training data for AI models in an Electrical Engineering, Mathematics, and Physics domain. Produced precision image segmentation outputs to improve computer vision and data-parsing performance. Applied quality assurance checks to ensure labels met strict guidelines for accuracy and consistency. • Performed image segmentation annotations • Verified label/tabular alignment for multimodal datasets • Conducted error analysis and data cleaning prior to finalizing annotations • Ensured dataset quality against provided annotation criteria

2024 - Present

Education

Work History