Jack Preijers

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Document

Text

Top Label Types

RLHF

Fine Tuning

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

With extensive experience in AI project management and data-centric initiatives, I specialize in ensuring the quality and accuracy of training data for advanced AI systems. My work includes conducting detailed audits of AI-generated financial models, evaluating Chain-of-Thought reasoning, stress-testing automated agents for data integrity, and translating ambiguous prompts into actionable technical requirements. I am skilled in ranking and synthesizing outputs from large language models, identifying gold-standard responses, and implementing robust feedback loops to improve system reliability. My background spans the tech, biotech, and financial sectors, and I am proficient with tools such as Jira, Confluence, Microsoft Project, and various collaboration platforms. I thrive in cross-functional environments and am passionate about driving innovation and precision in AI training data, especially within regulated domains like program and project management, biotechnology, pharmaceuticals, financial management, business transformation process improvement, and medical devices.

Labeling Experience

Program Management

Scale AITextRLHFFine Tuning

The project centered on validating the accuracy of automated cross-functional data synthesis and strategic reasoning. Serving as a domain expert, analyzed how effectively the system integrated personnel, activity, and financial data to pinpoint operational risks and resource gaps. Focused on the system's ability to handle complex calculations, such as adjusting raw figures for administrative overhead to ensure the final resource determinations were both accurate and actionable. Using side-by-side performance audits, measured the system’s reliability against strict budgetary and utilization thresholds. Conducted a thorough review of all financial and scheduling data to eliminate errors and ensure compliance with established industry standards. Through comprehensive feedback and logical justifications, helped set a gold standard for how technical reports should be delivered to leadership, ensuring that every insight was backed by sound data & meticulous attention to detail.

The project centered on validating the accuracy of automated cross-functional data synthesis and strategic reasoning. Serving as a domain expert, analyzed how effectively the system integrated personnel, activity, and financial data to pinpoint operational risks and resource gaps. Focused on the system's ability to handle complex calculations, such as adjusting raw figures for administrative overhead to ensure the final resource determinations were both accurate and actionable. Using side-by-side performance audits, measured the system’s reliability against strict budgetary and utilization thresholds. Conducted a thorough review of all financial and scheduling data to eliminate errors and ensure compliance with established industry standards. Through comprehensive feedback and logical justifications, helped set a gold standard for how technical reports should be delivered to leadership, ensuring that every insight was backed by sound data & meticulous attention to detail.

2025

Education

Work History