Megan

Key Skills

Software

No software listed

Top Subject Matter

AI/data annotation for models (retail domain context)

Retail chatbot training and reinforcement learning from human feedback (RLHF)

LLM safety/red teaming for retail chatbot

Top Data Types

Text

Document

Top Task Types

Data Collection

RLHF

Red Teaming

Entity (NER) Classification

Freelancer Overview

Junior Data Annotator — Aspen Ltd (Jun 2024–Oct 2024). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Diploma, FutureLearn / Open University (2025). AI-training focus includes data types such as Text and labeling workflows including Data Collection, RLHF, and Red Teaming.

Labeling Experience

Retail Sales Assistant — Sunday's, London (Nov 2024–Present)

TextRLHF

Supported AI training efforts for a retail-based chatbot by handling user queries and ensuring data accuracy. Applied RLHF-aligned best practices alongside QA and compliance checks to improve training signal quality. Helped surface and resolve issues that could degrade assistant behavior and outputs. • Resolved 30+ daily customer queries tied to training inputs • Ensured compliance and data accuracy for chatbot interactions • Supported staff training relevant to chatbot handling • Contributed to continuous quality improvements

2024 - Present

UK Slang Annotation (Project)

TextEntity (NER) Classification

Performed UK slang annotation on 300+ sentences with a reported 96% agreement rate. Built and maintained an annotation guide to ensure consistent labeling across examples. Used agreement and guidance to improve annotation reliability for model training. • Labeled 300+ sentences for UK slang • Achieved 96% agreement • Authored/maintained an annotation guide • Ensured consistent labeling criteria

2024 - 2024

Retail Chatbot Red Teaming (Project)

TextRed Teaming

Created 50 adversarial prompts to evaluate chatbot robustness and identify failure modes. Conducted red teaming focused on hallucinations and policy gaps to strengthen model safety. Documented prompt patterns and weaknesses to inform training improvements. • Designed adversarial prompts for evaluation • Identified hallucinations in responses • Flagged policy and safety gaps • Fed findings back to improve training and defenses

2024 - 2024

Junior Data Annotator — Aspen Ltd (Jun 2024–Oct 2024)

TextData Collection

Annotated 1,200+ items in a junior data annotator role, correcting errors to improve model performance. Maintained a 99% QA score through consistent review and quality checks. Focused on ensuring high annotation accuracy for downstream model training and evaluation. • Reviewed and corrected mislabeled items • Worked to reduce an identified 15% error rate • Performed ongoing QA validation • Contributed to model accuracy improvements

2024 - 2024

Education

Work History