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Scott Clement

Lead AI Trainer & Subject Matter Expert (Biology)

USA flag
Phoenix, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

Biology Domain Expertise
Chemistry Domain Expertise
Computational Intelligence

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHF
Prompt Response Writing SFT
Red Teaming

Freelancer Overview

Lead AI Trainer & Subject Matter Expert (Biology). Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Arizona State University (2015) and Bachelor of Science, University of Arizona (2013). AI-training focus includes data types such as Text and labeling workflows including RLHF, Prompt + Response Writing (SFT), and Red Teaming.

Expert

Labeling Experience

Project: Hallucination Mitigation Study, Red Teaming Specialist

TextRed Teaming
I conducted an in-depth analysis of hallucination failure points in AI models focused on DNA replication topics. My responsibilities included constructing adversarial prompts to identify and analyze model vulnerabilities and stress-test its safety guardrails. The project improved model robustness against generating inaccurate or unsafe scientific content. • Designed and administered adversarial test cases targeting model weak spots. • Logged, categorized, and explained failure modes related to biological content generation. • Provided corrective feedback and scientific citations for detected errors. • Helped develop new red-teaming protocols for ongoing safety evaluations.

I conducted an in-depth analysis of hallucination failure points in AI models focused on DNA replication topics. My responsibilities included constructing adversarial prompts to identify and analyze model vulnerabilities and stress-test its safety guardrails. The project improved model robustness against generating inaccurate or unsafe scientific content. • Designed and administered adversarial test cases targeting model weak spots. • Logged, categorized, and explained failure modes related to biological content generation. • Provided corrective feedback and scientific citations for detected errors. • Helped develop new red-teaming protocols for ongoing safety evaluations.

2022 - Present

Project: STEM Model Alignment (Biology & Chemistry), AI Training Contributor

TextPrompt Response Writing SFT
I developed a 'Gold Standard' dataset of over 1,000 questions focusing on graduate-level biology problem-solving for fine-tuning an LLM. My process included applying Chain-of-Thought reasoning to break down complex biochemical equations step-by-step. I structured the dataset to elevate model performance and reliability in academic STEM contexts. • Authored ground-truth prompts and answers specific to biology and chemistry domains. • Incorporated detailed rationales to foster robust model reasoning. • Ensured QA item diversity and comprehensive coverage of advanced topics. • Validated and iteratively improved dataset quality through expert review.

I developed a 'Gold Standard' dataset of over 1,000 questions focusing on graduate-level biology problem-solving for fine-tuning an LLM. My process included applying Chain-of-Thought reasoning to break down complex biochemical equations step-by-step. I structured the dataset to elevate model performance and reliability in academic STEM contexts. • Authored ground-truth prompts and answers specific to biology and chemistry domains. • Incorporated detailed rationales to foster robust model reasoning. • Ensured QA item diversity and comprehensive coverage of advanced topics. • Validated and iteratively improved dataset quality through expert review.

2022 - Present

Lead AI Trainer & Subject Matter Expert (Biology)

TextRLHF
I served as a lead AI trainer specializing in RLHF and SFT processes for training large language models in STEM domains. My work involved creating and reviewing high-quality ground-truth datasets for biology and chemistry, identifying scientific hallucinations, and correcting AI-generated content. I applied prompt engineering and model evaluation techniques to ensure the veracity and utility of AI responses. • Crafted multi-step prompts to differentiate between model reasoning and memorization. • Generated and scored thousands of biological and chemistry QA pairs to fine-tune model alignment. • Audited and fact-checked AI outputs using expert scientific knowledge and detailed justifications. • Designed adversarial prompts to evaluate model safety guardrails and mitigate hallucination risks.

I served as a lead AI trainer specializing in RLHF and SFT processes for training large language models in STEM domains. My work involved creating and reviewing high-quality ground-truth datasets for biology and chemistry, identifying scientific hallucinations, and correcting AI-generated content. I applied prompt engineering and model evaluation techniques to ensure the veracity and utility of AI responses. • Crafted multi-step prompts to differentiate between model reasoning and memorization. • Generated and scored thousands of biological and chemistry QA pairs to fine-tune model alignment. • Audited and fact-checked AI outputs using expert scientific knowledge and detailed justifications. • Designed adversarial prompts to evaluate model safety guardrails and mitigate hallucination risks.

2022 - Present

Education

A

Arizona State University

Master of Science, Bioinformatics

Master of Science
2013 - 2015
U

University of Arizona

Bachelor of Science, Biology

Bachelor of Science
2009 - 2013

Work History

T

TGen

Senior Computational Biologist

Phoenix
2015 - 2022