Quantitative Analyst AI Response Evaluator

OpenTrain AI, Inc.; Northern (KY); Remote; USD 165,000 - 207,000; Part time

Job summary

OpenTrain AI, Inc. seeks a remote, project-based quantitative contractor to craft challenging problems and evaluate AI outputs. The role emphasizes rigor, realism, and alignment with how quants work in trading, risk, and portfolio decisions.

Applicants should have hands-on quant experience, a relevant degree, and excellent written communication. Flexible hours and remote work are offered.

Qualifications

• Bachelor's degree in mathematics, statistics, computer science, or a related quantitative field.
• At least one year of professional, hands-on experience as a quant at a top company or fund.
• Excellent written communication and attention to detail; ability to explain complex quantitative ideas clearly.

Responsibilities

• Create expert-level quantitative problems and realistic scenarios.
• Review AI-generated quantitative responses for accuracy and practical feasibility.
• Assess whether responses match methods used by practicing quants.
• Write structured feedback to help improve AI model performance.

Skills

Quant problem creation

Review AI responses

Clear communication

Education

Bachelor's degree in mathematics, statistics, computer science, or related quantitative field

Job description

The work

You will help improve AI systems by creating difficult quantitative problems and reviewing the answers they produce. Your feedback should show whether an answer is accurate, practical, and consistent with how working quants approach research, trading, risk, and portfolio decisions.

The work is remote and asynchronous. You will complete project tasks independently and use your judgment across quantitative research, alpha or signal generation, trading strategy design and execution, risk modeling, and portfolio construction.

• Create expert-level quantitative problems and realistic scenarios.
• Review AI-generated quantitative responses for accuracy and practical feasibility.
• Assess whether responses match methods used by practicing quants.
• Write structured feedback to help improve AI model performance.

What it pays and takes

This is a flexible, project-based contractor role for candidates in the United States. The role is listed as entry level, while the work requires hands-on quantitative experience and a relevant degree.

• Pay: Up to $150 per hour.
• Hours: 20+ hours per week.
• Schedule: Flexible, remote, and asynchronous, with no set schedule.
• Location: Open to candidates in the United States.
• Language: Fluent English.
• Experience: At least one year of professional, hands-on experience as a quant at a top company or fund.
• Education: Bachelor's degree in mathematics, statistics, computer science, or a related quantitative field.
• Expertise: Quant research and alpha or signal generation, trading strategy design and execution, or risk modeling and portfolio construction.
• Skills: Strong written communication, close attention to detail, and the ability to explain complex quantitative ideas clearly.
• Helpful background: Experience at a recognized quantitative fund or trading firm, plus practical experience with research, modeling, strategy development, and evaluating technical reasoning.

About AI training work

AI training is the human work behind better artificial intelligence, including writing examples, rating model responses, and explaining what makes an answer accurate or useful. People with specialist knowledge are paid to apply their professional judgment so models can handle realistic technical problems.