William Webster

Key Skills

Software

Remotasks

Telus

Scale AI

Other

Top Subject Matter

AI Model Training and Evaluation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Document

Image

Top Task Types

Object Detection

Text Summarization

Data Collection

Prompt + Response Writing (SFT)

Text Generation

Segmentation

Classification

Bounding Box

Freelancer Overview

Professional AI Training and Research Contributor with over two years of experience in advanced data annotation, response evaluation, and quality assurance for large language models. Currently pursuing a Bachelor of Arts in Marketing at the University of Arizona Global Campus, I combine strategic communication expertise with technical precision to support the development of high-quality AI systems. My experience within the RWS and Remotasks ecosystems includes specialization in RLHF, prompt evaluation, response ranking, safety assessments, and complex text annotation tasks designed to improve model relevance, accuracy, and user alignment. I am skilled at interpreting evolving project guidelines and applying rigorous evaluation standards to ensure linguistic consistency, annotation accuracy, and data integrity across high-volume workflows. My work has involved analyzing user prompts, identifying response quality issues, evaluating outputs for safety and bias, and providing detailed feedback that contributes to model refinement. I am experienced in maintaining productivity and quality benchmarks while adapting quickly to shifting project requirements and platform updates. My academic background in marketing strengthens my ability to understand audience intent, messaging effectiveness, and user engagement patterns, bringing an end-user perspective to AI training processes. This interdisciplinary foundation allows me to contribute not only as a data annotator, but as a strategic evaluator focused on improving usability and interaction quality. Committed to ethical AI development and continuous learning, I bring analytical discipline, adaptability, and a quality-first mindset to every stage of the model training lifecycle.

Labeling Experience

RWS Anotation

TextText Generation

Served as a lead annotator for a high-volume data pipeline focused on improving the performance and safety of large language models. The scope of work involved complex RLHF (Reinforcement Learning from Human Feedback) tasks, including prompt evaluation and response ranking. I performed detailed SFT (Supervised Fine-Tuning) through text generation and multi-turn conversation modeling. Quality was maintained through strict adherence to evolving project guidelines, ensuring all outputs met rigorous standards for factual accuracy, linguistic fluidity, and safety alignment.

Served as a lead annotator for a high-volume data pipeline focused on improving the performance and safety of large language models. The scope of work involved complex RLHF (Reinforcement Learning from Human Feedback) tasks, including prompt evaluation and response ranking. I performed detailed SFT (Supervised Fine-Tuning) through text generation and multi-turn conversation modeling. Quality was maintained through strict adherence to evolving project guidelines, ensuring all outputs met rigorous standards for factual accuracy, linguistic fluidity, and safety alignment.

2024 - 2026

AI Training and Research Contributor

RemotasksTextText Generation

I contributed to AI and data-centric projects requiring interpretation of prompts, careful evaluation, and structured reasoning. My work focused on reviewing outputs, supporting research and quality assurance in AI model training for various projects. Close adherence to detailed and changing project guidelines was essential to ensure model improvement. • Evaluated and rated text-based model outputs for research advancement • Interpreted prompts and followed instructions to ensure accuracy and consistency • Worked with remote teams asynchronously on short-term assignments • Used Remotasks and RWS's proprietary or project-specific platforms for task execution.

I contributed to AI and data-centric projects requiring interpretation of prompts, careful evaluation, and structured reasoning. My work focused on reviewing outputs, supporting research and quality assurance in AI model training for various projects. Close adherence to detailed and changing project guidelines was essential to ensure model improvement. • Evaluated and rated text-based model outputs for research advancement • Interpreted prompts and followed instructions to ensure accuracy and consistency • Worked with remote teams asynchronously on short-term assignments • Used Remotasks and RWS's proprietary or project-specific platforms for task execution.

2024 - 2025

Education

Work History