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Thomas Grace

Thomas Grace

AI Trainer (Contractor)

UNITED_KINGDOM flag
London, United Kingdom
$20.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Scientific Domain Expertise
Medical Domain Expertise
AI Training Expertise (LLM Evaluation and Prompt Engineering)

Top Data Types

TextText
DocumentDocument
AudioAudio

Top Task Types

Classification
Red Teaming
Evaluation Rating
Prompt Response Writing SFT

Freelancer Overview

Biomedical Engineering PhD graduate with verifiable professional experience as an AI trainer with Data Annotation Technologies, working across LLM evaluation, annotation, prompt engineering, adversarial testing, red teaming and peer review. Core strengths include evaluating AI-generated content across scientific, medical, technical and generalist domains, identifying failure modes and edge cases, and providing structured qualitative feedback against defined rubrics. Native UK English speaker with high-level proficiency in both UK and Australian English conventions. Domain expertise spans orthopaedics, biomechanics, bone biology, medical imaging, clinical research and the medical device industry, backed by three peer-reviewed publications. Comfortable working independently across a wide range of task types including response evaluation, ranking, rewriting, adversarial dataset creation and rubric development. Detail-oriented, analytically rigorous and experienced in maintaining consistent quality standards across high-volume workflows.

Entry LevelEnglish

Labeling Experience

AI Trainer (Contractor)

Text
As an AI Trainer at Data Annotation Technologies, I evaluated LLM outputs in scientific, medical, technical, and generalist domains. My tasks included response rating, ranking, rewriting, and structured annotation using defined rubrics. I also created adversarial prompts, performed red teaming, contributed to rubric development, and ensured quality assurance through peer review. • Evaluated LLM outputs for accuracy, tone, safety, and reasoning quality • Designed and tested prompts to probe model performance and consistency • Conducted adversarial testing and red teaming for safety and bias • Reviewed peers’ work and contributed to rubric development

As an AI Trainer at Data Annotation Technologies, I evaluated LLM outputs in scientific, medical, technical, and generalist domains. My tasks included response rating, ranking, rewriting, and structured annotation using defined rubrics. I also created adversarial prompts, performed red teaming, contributed to rubric development, and ensured quality assurance through peer review. • Evaluated LLM outputs for accuracy, tone, safety, and reasoning quality • Designed and tested prompts to probe model performance and consistency • Conducted adversarial testing and red teaming for safety and bias • Reviewed peers’ work and contributed to rubric development

2025 - Present

Education

U

University of Adelaide

Doctor of Philosophy, Biomedical Engineering

Doctor of Philosophy
2017 - 2022
U

University of Nottingham

Master of Science, Bioengineering: Biomaterials and Biomechanics

Master of Science
2014 - 2015

Work History

L

Laerdal Medical

Lead Specialist

Melbourne
2023 - 2025
U

University of Adelaide

PhD Candidate (Biomedical Engineering)

Adelaide
2017 - 2022