Use deep finance expertise to design challenging AI tasks, evaluate large language model outputs, and improve financial reasoning systems. This remote USA contract pays $65 to $90 per hour.
Legal & Finance
Remote Hourly · $65–$90/hr
$65–$90/hr
Compensation
1 country
Eligibility
Intermediate
Experience
Jul 13, 2026
Posted
Open to applicants in
United States
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Remote contract opportunity based in the USA
W-2 compensation of $65 to $90 per hour
Part-time contractor role with a weekday commitment
About AI Training Work
AI training is the human side of building artificial intelligence. People with subject-matter expertise create examples, write tasks, review model responses, and provide structured feedback that helps AI systems become more accurate and useful.
In this role, your finance knowledge will help shape how large language models reason about financial analysis, judgment, and decision-making. The work is remote and part of a fast-growing field at the cutting edge of technology.
Contribute to the development of advanced large language models
Apply real-world financial judgment to AI evaluation
Help improve the quality and reliability of finance training data
The Role
OpenTrain is seeking a Finance AI Evaluation Expert to evaluate AI model outputs against structured rubrics, design challenging finance tasks, and write accurate solutions grounded in professional financial practice.
You will work with research, engineering, and other subject-matter experts to identify gaps in financial reasoning and improve the guidelines used to assess AI performance. Prior hands-on experience evaluating LLM or AI outputs is mandatory.
Role focus: Financial AI Model Evaluation
Experience level: Intermediate
Work type: Remote contract and part-time
Location: Candidates based in the USA
Language: English
What You'll Do
Your work will combine finance expertise, task design, written analysis, and careful evaluation. You will assess not only whether an answer is correct, but also whether its judgment and reasoning meet the expectations of real financial practice.
Guide research and engineering teams in closing knowledge gaps related to financial reasoning, analysis, and decision-making.
Design challenging, domain-relevant finance tasks for AI training and evaluation.
Write accurate, well-reasoned solutions grounded in real financial practice.
Evaluate AI model outputs against structured rubrics.
Provide clear written feedback on correctness, judgment, and reasoning quality.
Develop and refine finance-specific evaluation guidelines and scoring rubrics.
Collaborate with other subject-matter experts to support consistency and accuracy in training data.
Requirements
This opportunity is intended for experienced finance professionals who can bring substantial industry knowledge and demonstrated progression to AI evaluation work.
At least 8 years of dedicated professional finance experience at a recognized, top-tier organization.
Experience in a finance setting such as investment banking or asset management.
Mandatory hands-on experience evaluating LLM or AI model outputs against rubrics or structured scoring criteria.
Demonstrable career progression in finance, such as Analyst, Associate, VP, or Director.
Strong verbal and written communication skills.
Reliable availability for at least 35 hours per week during weekdays.
Schedule and Compensation
This remote role is open to candidates based in the USA. The expected commitment is 35 hours per week during weekdays. The structured opportunity details also identify the role as requiring 20 or more hours per week, with the role description's 35-hour weekday expectation applying to the engagement.
Pay range: $65 to $90 per hour
Payment basis: W-2
Schedule: Weekdays
Expected commitment: 35 hours per week
Engagement: Contractor and part-time
Why This Work Matters
Every major AI system depends on people who can prepare, review, and improve the examples used for training. By applying your finance expertise to model evaluation, you can directly influence how AI handles specialized financial questions and professional reasoning.
AI training work can provide a flexible way to participate in a rapidly growing technology industry while contributing knowledge that models cannot reliably develop on their own.
Use professional finance experience in an emerging AI field
Influence the quality of financial reasoning in AI systems
Work remotely with a focused weekday commitment
How to Apply Through OpenTrain
Create a free OpenTrain account, build your profile around your finance experience and AI evaluation background, and apply for the opportunity in minutes. Be prepared to demonstrate your professional progression, finance expertise, and prior experience scoring AI model outputs.
Confirm that you are based in the USA.
Highlight at least 8 years of professional finance experience.
Describe your experience evaluating LLM or AI outputs against structured rubrics.
Include relevant career progression and availability for weekday work.
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