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Don Whitaker

Don Whitaker

Process Architect & Multimodal AI Trainer (Unity, 3D Printing, SOP Specialist)

USA flagLebanon, Usa
$25.00/hrEntry LevelScale AI

Key Skills

Software

Scale AIScale AI

Top Subject Matter

Instruction Following for LLM Training
3D Printing Design and Production
Software Engineering & VR Systems (C# / Unity)

Top Data Types

TextText
VideoVideo

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Professional Cook & Process Architect (30+ Years) - Instruction Following for AI Training. Brings 37+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Associate of Arts, Rocky Mountain College of Art and Design. AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

Entry LevelEnglish

Labeling Experience

Professional Cook & Process Architect (30+ Years) - Instruction Following for AI Training

TextPrompt Response Writing SFT
Experience in professional environments applying rigorous instruction following directly maps to the domain of AI prompt-response and LLM data work. Skills in constraint satisfaction and structured procedural execution inform tasks related to supervised fine-tuning (SFT) and AI training. Demonstrated ability to decompose complex instructions for technical execution is beneficial for labeling and reviewing LLM training data. • Applied expertise in translating structured tasks to text-based instructions for training AIs. • Used logic and rule-management expertise for instruction writing and quality checking. • Developed and documented repeatable instructional workflows suitable for LLM prompt engineering. • Skills are directly applicable to AI data labeling and prompt-response validation functions.

Experience in professional environments applying rigorous instruction following directly maps to the domain of AI prompt-response and LLM data work. Skills in constraint satisfaction and structured procedural execution inform tasks related to supervised fine-tuning (SFT) and AI training. Demonstrated ability to decompose complex instructions for technical execution is beneficial for labeling and reviewing LLM training data. • Applied expertise in translating structured tasks to text-based instructions for training AIs. • Used logic and rule-management expertise for instruction writing and quality checking. • Developed and documented repeatable instructional workflows suitable for LLM prompt engineering. • Skills are directly applicable to AI data labeling and prompt-response validation functions.

Not specified

Education

R

Rocky Mountain College of Art and Design

Associate of Arts, Sculpture and Drawing

Associate of Arts
Not specified

Work History

N

N/A

Professional Cook & Process Architect

Lebanon
1992 - Present
C

Crashed Lander

VR Software Architect

Lebanon
2018 - 2020