Accounting Instructor (AI Training) About The Role We're looking for experienced accounting instructors to help shape the next generation of AI. Your deep knowledge of accounting principles will directly influence how AI systems understand, explain, and reason through financial concepts — making a real impact on how millions of people interact with AI-powered tools. This is a fully remote, flexible contract role powered by Alignerr (by Labelbox), one of the leading platforms for AI training and evaluation.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based 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 concepts spanning financial statements, bookkeeping, internal controls, and managerial accounting
Identify errors, edge cases, and misleading or ambiguous explanations
Provide clear, structured feedback to improve the precision and educational quality of AI-generated content
Work independently and asynchronously on your own schedule to meet project milestones Who You Are 3+ years of experience teaching accounting at the postsecondary level
Robust command of both financial and managerial accounting principles
Able to critically evaluate written quantitative reasoning and rule-based logic
Detail-oriented and comfortable reviewing structured content at scale
Self-motivated and reliable in an asynchronous remote setting Nice to Have CPA designation or a Master's degree in Accounting
Hands-on experience in auditing, financial analysis, or applied accounting practice
Prior exposure to AI training, data annotation, or model evaluation workflows Why Join Us Work on cutting-edge AI projects with top research labs and AI organizations
Fully remote and versatile — work on your own schedule, on your terms
Freelance perks: autonomy, variety, and global collaboration
Gain firsthand exposure to how large language models (LLMs) are trained and evaluated
Contribute to meaningful work that improves how AI handles real-world financial reasoning