Finance Lecturer (AI Training)

About The Role
We're looking for finance lecturers and economists to help shape how AI understands financial and economic reasoning. Your subject-matter expertise will directly influence the quality and accuracy of next-generation AI systems — making a real impact on how AI handles everything from valuation and risk to market behavior and economic theory.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-Based Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets
Assess the accuracy and clarity of core financial concepts including valuation, risk, capital markets, and economic theory
Provide structured, expert feedback to improve the quality of AI-generated financial reasoning
Apply your teaching experience to identify common misconceptions and unclear explanations
Work independently and asynchronously on your own schedule
Who You Are
3+ years of experience teaching finance or economics at the postsecondary level
Strong command of corporate finance, financial markets, or financial economics
Ability to critically evaluate written financial reasoning with precision and clarity
Comfortable reviewing and rating structured content at scale
Self-motivated and reliable when working independently
Nice to Have
Graduate degree in Finance, Economics, or a related field
Industry or applied finance experience (investment banking, asset management, consulting, etc.)
Familiarity with AI systems or model evaluation workflows
Why Join Us
Work on cutting-edge AI projects alongside top research labs
Fully remote and flexible — work on your own schedule, on your terms
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that improves how AI reasons about finance and economics worldwide
Potential for ongoing work and contract extension

Work arrangement
Yes