Use senior finance expertise to evaluate AI outputs, write benchmark solutions, and define what excellent financial reasoning looks like. This Bay Area contract pays $60-$100 per hour and runs for an initial six months.
Legal & Finance
Remote Hourly · $60–$100/hr
$60–$100/hr
Compensation
1 country
Eligibility
Entry
Experience
Aug 29, 2026
Posted
Open to applicants in
United States
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OpenTrain AI is hiring a Finance AI Training Expert to help improve how advanced artificial intelligence systems handle real financial work. OpenTrain helps people build careers in AI training and data labeling, connecting specialized expertise with projects that shape how modern AI systems learn and perform.
You will work with research and program management teams on finance-focused AI training. Your professional judgment will help turn expert financial reasoning into clear examples, instructions, and evaluation standards that AI models can learn from.
Apply through OpenTrain and build experience in a fast-growing AI training field.
Work on finance knowledge tasks, model evaluation, written feedback, and benchmark development.
Help define the standards used to assess AI performance on realistic financial work.
About AI Training Work
AI training is the human side of building artificial intelligence. Expert contributors review model responses, create high-quality examples, write task instructions, and identify the difference between genuinely sound reasoning and answers that only appear convincing.
This work gives experienced professionals a direct role in shaping cutting-edge AI systems. Finance specialists are especially important because many financial tasks require judgment, context, technical accuracy, and an understanding of how work is performed in practice.
Translate professional financial judgment into explicit, teachable criteria.
Evaluate whether AI-generated answers are accurate, complete, and professionally credible.
Create examples and tests that help models improve on complex finance knowledge work.
The Role
As a Finance AI Training Expert, you will work directly with research and program management teams to improve how frontier AI models reason about financial work. You will review finance tasks and model outputs, develop instruction specifications and golden solutions, and build benchmarks that define correct performance.
The initial engagement is six months. The role description calls for a full-time commitment of 40 hours per week, while the structured listing specifies availability of 20+ hours per week and a contractor, part-time engagement. The work is hybrid in the Bay Area, California, with on-site work required multiple days per week.
Compensation: $60-$100 per hour.
Engagement: Contractor and part-time classification in the listing.
Location: Bay Area, California.
Work arrangement: Hybrid, with on-site work multiple days per week.
Initial engagement: Six months.
Working language: English.
Applicants must be based in the United States.
What You'll Do
You will bring senior-level finance expertise to the design and evaluation of AI training data. The work requires careful analysis, strong written communication, and the ability to recognize subtle problems in assumptions, reasoning, and conclusions.
Review finance knowledge work tasks and model outputs for quality, completeness, and professional realism.
Identify missing behaviors, thin reasoning, flawed assumptions, and answers that sound polished but would not withstand professional scrutiny.
Write high-quality instruction specifications for finance-focused AI tasks.
Produce golden solutions to financial problems that demonstrate what correct reasoning looks like.
Design challenging finance tasks and evaluation sets based on real-world practice.
Help build finance-specific skills and tools with the research team.
Collaborate with researchers and specialists in adjacent fields to maintain consistent standards.
Translate tacit financial judgment into explicit, teachable evaluation criteria.
Required Qualifications
This role is intended for an experienced finance professional with substantial responsibility in a recognized financial institution or finance function. You must be able to assess financial reasoning at a senior professional standard and explain your judgment clearly in writing.
At least five years of substantive, dedicated professional finance experience.
Experience at a recognized institution such as an investment bank, asset manager, private equity or credit fund, Big Four firm, large corporate finance function, or financial regulator.
Specialization in at least one core discipline, including corporate finance and FP&A, investment banking and M&A, asset or wealth management, private equity or private credit, quantitative finance and risk management, treasury, accounting, or audit.
Clear progression to a senior individual contributor or leadership level, such as Vice President, Director, Principal, Managing Director, Portfolio Manager, Controller, or CFO.
Hands-on professional use of large language models.
Judgment to distinguish well-reasoned answers from plausible-sounding incorrect answers.
Excellent written communication and the ability to provide precise, well-structured feedback.
Ability to work in the Bay Area, California, with on-site work multiple days per week.
Ability to commit to the required weekly schedule for the initial six-month engagement.
Helpful Background
Advanced education or a recognized professional credential can strengthen your application, particularly when paired with significant practical finance experience.
MBA, MS, or PhD in finance, economics, accounting, or a quantitative field.
CFA, CPA, FRM, or actuarial designation.
Experience applying large language models to professional finance work.
How to Apply Through OpenTrain
Create a free OpenTrain account, present your relevant finance background, and apply in minutes. Highlight your specialized discipline, seniority, professional institutions, credentials, and hands-on experience with large language models so your application reflects the expertise this project requires.
Confirm that you are based in the United States and able to work in the Bay Area.
Review the schedule and hybrid on-site requirement before applying.
Showcase finance experience that demonstrates practical judgment and strong written analysis.
Use senior finance expertise to evaluate AI outputs, write benchmark solutions, and define standards for financial reasoning. This Bay Area hybrid engagement pays $110-$150 per hour for an initial six-month term.
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