Review AI-generated financial research and trading analysis against relevant market information, rate response quality, and provide clear feedback in a flexible, remote contract role.
Generative AI & RLHF
$5/label
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 26, 2026
Posted
Open worldwide
OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain connects people with opportunities to help improve the systems shaping the future of artificial intelligence.
Creating an OpenTrain account is free, and candidates can build a profile and apply in minutes.
AI training is the human side of building artificial intelligence. People review model responses, assess their quality, and provide structured feedback so AI systems can become more accurate, useful, and reliable.
In this project, your financial markets expertise will help evaluate how well an AI system researches markets, reasons about trading analysis, and supports financial decision making.
As an AI Response Evaluator and Tester, you will review AI-generated financial research and trading analysis. You will assess the quality and accuracy of the system's reasoning, compare outputs with relevant market information, and identify opportunities for improvement.
The work includes evaluation rating tasks and prompt-response writing tasks. Your feedback will help improve the system's trading research and decision-making capabilities.
You will examine AI responses in the context of financial markets and trading. Strong judgment, careful review, and clear written explanations are important because each evaluation should accurately reflect the quality of the response and its reasoning.
This opportunity is intended for candidates with relevant financial markets and trading experience. You should be able to discuss your experience with AI response evaluation or testing and demonstrate strong accuracy when reviewing detailed outputs.
AI training and data labeling are part of a fast-growing technology field. Modern AI models depend on people who can review examples, evaluate responses, and apply specialized knowledge to improve how systems behave.
This remote, flexible work can fit around other commitments while giving you a direct role in shaping AI tools used for complex research and analysis.
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