For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
J

Justin Rajsky

AI Financial RLHF Evaluator, Series 7 & 63, Market Expert

USA flag
N/A, Usa
$60.00/hrIntermediateLabel StudioSnorkel AIGoogle Cloud Vertex AI

Key Skills

Software

Label StudioLabel Studio
Snorkel AISnorkel AI
Google Cloud Vertex AIGoogle Cloud Vertex AI
Internal/Proprietary Tooling

Top Subject Matter

Financial Markets & Equity/Derivatives Analysis
Macroeconomics & Global Market Trends
Business Strategy & Corporate Finance

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHF
Evaluation Rating
Text Generation
Question Answering
Prompt Response Writing SFT

Freelancer Overview

I have hands-on experience in AI training and data annotation focused on financial text, using RLHF-style evaluation to assess and improve model-generated outputs. I’ve designed and applied structured evaluation frameworks that score responses based on accuracy, reasoning quality, and real-world market validity. My work includes identifying hallucinations, correcting flawed assumptions, and rewriting outputs to meet high standards of financial correctness and clarity. I’ve applied this across a large volume of examples, ensuring consistency through standardized scoring systems and repeatable workflows. In addition, I bring over 8 years of experience in trading and financial markets, along with Series 7 and Series 63 licenses. This background allows me to evaluate AI-generated financial content at a deeper level than typical annotators, particularly in areas like equities, macroeconomic events, and options strategies. My combination of domain expertise and structured evaluation methods enables me to deliver high-quality, reliable annotations that improve model performance in real-world financial applications.

IntermediateEnglish

Labeling Experience

AI Financial Data Annotation Specialist (RLHF Evaluator)

TextRLHF
Designed and applied an AI evaluation framework for financial text (equities, macro, and options). Tasks included labeling model outputs using RLHF-style evaluation—scoring accuracy, reasoning quality, and market validity, identifying errors, and rewriting responses to improve correctness. Worked across hundreds of examples with consistent structured outputs. Quality was maintained through standardized scoring criteria, strict focus on factual accuracy, and review of edge cases to ensure reliability and consistency.

Designed and applied an AI evaluation framework for financial text (equities, macro, and options). Tasks included labeling model outputs using RLHF-style evaluation—scoring accuracy, reasoning quality, and market validity, identifying errors, and rewriting responses to improve correctness. Worked across hundreds of examples with consistent structured outputs. Quality was maintained through standardized scoring criteria, strict focus on factual accuracy, and review of edge cases to ensure reliability and consistency.

2025 - Present

Education

P

Prairie State College

Certificate, N/A

Certificate
2007 - 2008

Work History

C

Charles Schwab

Financial Services Professional

N/A
2024 - Present
P

Peachtree Chess

Owner

N/A
2018 - Present