David Gunst D.

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

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Top Data Types

Document

Top Task Types

Segmentation

Freelancer Overview

I bring extensive experience in data annotation, labeling, and AI training data within high-complexity financial domains, leveraging over 30 years of institutional finance expertise. My work as a Finance Domain Expert and Structured Evaluator involves developing and refining evaluation rubrics, annotating and validating financial reasoning steps, and grading AI model outputs for accuracy, logical consistency, and coherence. I specialize in prompt engineering, financial risk metrics evaluation, and structured capital allocation scenarios, ensuring high-quality training data for generative AI and LLMs. My background allows me to bridge the gap between deep financial knowledge and rigorous data labeling practices, particularly in NLP-driven financial analytics and risk modeling projects.

Labeling Experience

Finance Expert

Internal/Proprietary ToolingDocumentSegmentation

At Mercor, I worked as a financial AI reviewer responsible for expert-level labeling and annotation of investment analysis outputs generated by large language models. My role focused on rubric-based evaluation, where I systematically classified responses across multiple financial criteria, identified reasoning gaps, inconsistencies, and structural distortions, and provided detailed qualitative annotations to justify pass/fail decisions. This required deep knowledge of portfolio construction, risk metrics, and institutional investment frameworks. In addition to grading model outputs, I contributed to refining evaluation standards by stress-testing prompts and ensuring alignment between expected financial reasoning and model performance. The work went beyond simple tagging; it involved structured analytical annotation, error pattern identification, and cognitive complexity assessment to improve the robustness and reliability of AI systems operating in finance.

2025

Education

Work History