Accounting Instructor
- Vancouver, British Columbia, Canada
- Remote
- Posted Oct 1, 2026
- 1 position
US$35–US$70 / hour
Opens an external site
- Employment type
- Contract
- Experience level
- Mid-level · 3+ years
- Minimum education
- Professional degree
- Apply by
- Oct 29, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Vancouver, British Columbia, Canada
- Seniority
- Mid-Senior level
Job summary
Review accounting questions, explanations, and worked examples used in AI training datasets, assessing accuracy across financial statements, bookkeeping, internal controls, and managerial accounting. Identify errors or incomplete reasoning and provide structured feedback to improve the precision, depth, and teaching quality of the content.
Job details
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 reliability of AI systems trained on accounting principles — making a real impact on how the next generation of AI handles financial reasoning. Organization: Alignerr (Powered by Labelbox) Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review accounting questions, explanations, and worked examples used in AI training datasets Assess the accuracy of content covering financial statements, bookkeeping, internal controls, and managerial accounting Identify errors, edge cases, and misleading or incomplete explanations Provide clear, structured feedback to improve precision, depth, and pedagogical quality Work independently and asynchronously on your own schedule Who You Are 3+ years of experience teaching accounting at the postsecondary level Strong 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 working independently Nice to Have CPA designation or Master's degree in Accounting Hands-on experience with audits, financial analysis, or applied accounting practice Prior exposure to AI systems, model evaluation, or content quality workflows Why Join Us Work on cutting-edge AI projects with top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that shapes how AI understands finance and accounting worldwide Potential for ongoing work and contract extension
What you’ll do
Review accounting questions, explanations, and worked examples used in AI training datasets, assessing accuracy across financial statements, bookkeeping, internal controls, and managerial accounting. Identify errors or incomplete reasoning and provide structured feedback to improve the precision, depth, and teaching quality of the content.
Requirements
Applicants need at least three years of postsecondary accounting teaching experience, strong knowledge of financial and managerial accounting, and the ability to evaluate written quantitative reasoning and rule-based logic. They should be detail-oriented, self-motivated, and reliable working independently; a CPA designation or master's degree in accounting is preferred.
Benefits
- Flexible Schedule
- Remote Work
- Autonomy
- Varied Work
- Global Collaboration
- Potential for Ongoing Work and Contract Extension
Listed skills
- Attention to detail · Preferred
- Financial analysis · Preferred
- Bookkeeping · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Accounting Instruction
- Financial Accounting
- Managerial Accounting
- Financial Statements
- Bookkeeping
- Internal Controls
- Quantitative Reasoning
- Rule-Based Logic
- Content Evaluation
- Error Identification
- Structured Feedback
- Attention to Detail
- Auditing
- Financial Analysis
- AI Model Evaluation
Job areas
- Finance & Accounting
- Education
- Technology
- Data & Analytics
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