Tax Preparation and AI Evaluation CPA

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI connects skilled professionals with opportunities to help shape how modern AI systems learn, reason, and communicate. Creating an OpenTrain account is free.

About AI Training Work

AI training is the human side of building artificial intelligence. Subject-matter experts review examples, evaluate model outputs, and provide feedback that helps AI systems become more accurate, useful, and reliable.

In this role, your tax expertise will directly support the evaluation and improvement of machine-generated tax content and advice.

• Remote work that can fit around your professional schedule
• Part-time contractor opportunity with 20+ hours per week
• Directly contribute to the development of advanced AI systems

The Role

OpenTrain AI is seeking a Tax Preparation and AI Evaluation CPA to support AI training through expert review of tax preparation and advisory content. You will apply professional tax judgment to personal and small-business returns, explain complex tax concepts, and evaluate machine-generated tax advice against defined standards.

This opportunity is open to eligible professionals in the United States. Compensation is $80–$110 USD per hour, and the engagement is structured as remote, part-time contract work.

• Role: Tax Preparation and AI Evaluation CPA
• Location: United States; remote
• Employment type: Contractor, part time
• Time requirement: 20+ hours per week
• Pay: $80–$110 USD per hour

What You'll Do

• Prepare and review Form 1040 personal income tax returns for accuracy and compliance.
• Prepare and review Schedule C, S-Corporation 1120-S, and Partnership 1065 returns.
• Advise on tax optimization strategies and explain filing status, deadlines, and required forms.
• Verify documentation supporting tax filings and advisory conclusions.
• Assess AI-generated tax advice and related content against evaluation rubrics.
• Provide concise feedback that supports AI model improvement.
• Develop and refine grading criteria for tax-related outputs.
• Track relevant changes in federal and state tax codes.

Required Qualifications

This role requires substantial professional tax expertise and an active license. Candidates should be able to apply current tax rules accurately while communicating technical subjects clearly to a range of audiences.

• Active CPA license in good standing with eligibility to practice in the United States
• At least five years of professional tax preparation or advisory experience
• Extensive experience with personal and small-business tax returns
• Experience preparing and filing Form 1040, Schedule C, S-Corporation 1120-S, and Partnership 1065 returns
• Current knowledge of federal tax regulations and at least one state's income tax requirements
• Ability to evaluate AI-generated tax advice and create clear, tax-specific rubrics
• Strong written and verbal communication skills

Helpful Background

Experience with AI evaluation can help you contribute quickly, though the core requirement is professional tax knowledge. Familiarity with professional tax preparation software is also useful.

• Experience evaluating AI-generated outputs or red-teaming
• Experience drafting rubrics and scoring criteria
• Familiarity with ProSeries, Lacerte, or Drake professional tax software

Build Your AI Training Career

AI training and data labeling are fast-growing fields where professionals help shape the behavior of cutting-edge AI. An OpenTrain profile helps you present your experience, discover projects aligned with your expertise, and build a lasting portfolio of AI training work.

If you are a U.S.-eligible CPA with current tax knowledge and an interest in improving AI-generated tax content, this role offers a way to apply your professional judgment to an emerging technology.

• Use your existing tax expertise in a growing AI field
• Build experience in expert evaluation and model feedback
• Create a stronger professional portfolio through OpenTrain