Felix Rock

Key Skills

Software

Scale AI

Appen

Axiom AI

Argilla

Top Subject Matter

Ecology Domain Expertise

Marine Biology

Evolutionary Biology

Top Data Types

Text

Document

Video

Top Task Types

Prompt + Response Writing (SFT)

Polygon

Entity (NER) Classification

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Freelancer Overview

Freelance AI Trainer and Biology Subject Matter Expert. Brings 36+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI. Education includes Doctor of Philosophy, University of Southern Mississippi (2013) and Master of Science, University of Southern Mississippi (1995). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Prompt Engineer (Gulf of Mexico AI Ecology Dataset)

Scale AITextPrompt Response Writing SFT

On the Gulf of Mexico AI Ecology Dataset project, I authored advanced prompts for food-web collapse and genomic adaptation to support supervised fine-tuning. I achieved high scoring rubric reliability for annotation tasks and facilitated AI reasoning improvements in ecological scenarios. My contributions directly impacted dataset quality and downstream AI biological modeling performance. • Authored more than 600 subject matter expert prompts supporting data labeling and supervised fine-tuning • Ensured 96 percent rubric reliability through detailed prompt/response evaluation • Collaborated with AI specialists to enhance data instructiveness and reliability for ecological LLM systems • Focused on frontier cases in marine ecological modeling and genomic adaptation.

On the Gulf of Mexico AI Ecology Dataset project, I authored advanced prompts for food-web collapse and genomic adaptation to support supervised fine-tuning. I achieved high scoring rubric reliability for annotation tasks and facilitated AI reasoning improvements in ecological scenarios. My contributions directly impacted dataset quality and downstream AI biological modeling performance. • Authored more than 600 subject matter expert prompts supporting data labeling and supervised fine-tuning • Ensured 96 percent rubric reliability through detailed prompt/response evaluation • Collaborated with AI specialists to enhance data instructiveness and reliability for ecological LLM systems • Focused on frontier cases in marine ecological modeling and genomic adaptation.

2024 - Present

Freelance AI Trainer and Biology Subject Matter Expert

Scale AIText

As a Freelance AI Trainer and Biology Subject Matter Expert, I contributed to the development and evaluation of advanced biological reasoning tasks for large language model training. My responsibilities included creating prompts, scoring rubrics, and annotating or correcting outputs across diverse biological topics. My work supported more than 60 AI projects with a primary focus on biodiversity, climate genomics, and population modeling. • Developed and maintained over 1,200 advanced prompts and scoring rubrics for AI data pipelines • Delivered over 500 monthly annotations, providing high-throughput quality assurance and error correction • Provided domain expertise for dataset creation and evaluation in over 18 biological subfields • Achieved high annotation consistency and project adaptability throughout dynamic remote engagements.

As a Freelance AI Trainer and Biology Subject Matter Expert, I contributed to the development and evaluation of advanced biological reasoning tasks for large language model training. My responsibilities included creating prompts, scoring rubrics, and annotating or correcting outputs across diverse biological topics. My work supported more than 60 AI projects with a primary focus on biodiversity, climate genomics, and population modeling. • Developed and maintained over 1,200 advanced prompts and scoring rubrics for AI data pipelines • Delivered over 500 monthly annotations, providing high-throughput quality assurance and error correction • Provided domain expertise for dataset creation and evaluation in over 18 biological subfields • Achieved high annotation consistency and project adaptability throughout dynamic remote engagements.

2021 - Present

Education

Work History