Accounting Instructor (AI Training) About The Role We're looking for experienced accounting instructors to help shape how AI understands financial concepts. Your expertise will directly influence the accuracy and quality of AI systems trained on accounting principles — from financial statements to internal controls. This is a rare chance to make a meaningful impact on cutting-edge technology from the comfort of your own home.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week What You'll Do Review and evaluate accounting questions, explanations, and worked examples used in AI training datasets
Assess the accuracy of key concepts including financial statements, bookkeeping, managerial accounting, and internal controls
Identify errors, edge cases, logical gaps, and misleading explanations
Provide clear, structured feedback to improve the precision and pedagogical quality of AI-generated content
Work independently and asynchronously on a schedule that fits your life Who You Are 3+ years of experience teaching accounting at the postsecondary level
Deep understanding of both financial and managerial accounting principles
Skilled at evaluating written quantitative and rule-based reasoning for accuracy and clarity
Comfortable reviewing structured content at scale with consistent attention to detail
Self-motivated and reliable in an asynchronous, remote work environment Nice to Have CPA designation or Master's degree in Accounting
Hands-on experience with audits, financial analysis, or applied accounting practice
Familiarity with AI systems, model evaluation, or data annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs and technology teams
Fully remote and flexible — set your own hours and work at your own pace
Freelance perks: autonomy, variety, and collaboration with a global expert community
Directly contribute to improving how AI handles complex financial reasoning
Potential for ongoing work and contract extension based on performance