Finance Lecturer

About the Role

We're looking for finance lecturers and economists to help shape how AI understands and reasons about financial concepts. Your subject-matter expertise will directly influence the accuracy and quality of AI systems trained on corporate finance, economic theory, and market behavior — work that matters at a global scale.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Review finance-related questions, explanations, and reasoning used in AI training datasets
• Assess the accuracy and depth of financial concepts including valuation, risk, capital markets, and economic theory
• Identify errors, misconceptions, or gaps in AI-generated financial reasoning
• Provide structured, expert feedback to improve clarity and conceptual correctness
• Apply your teaching experience to flag common student and AI misconceptions
• 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
• Able to clearly evaluate and critique written financial reasoning
• Comfortable reviewing structured content systematically and at scale
• Self-motivated and reliable in an asynchronous remote environment

Nice to Have

• Graduate degree (Master's or PhD) in Finance, Economics, or a related field
• Industry or applied finance experience (banking, investment, consulting, etc.)
• Familiarity with AI systems, model evaluation, or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and global collaboration
• Make a real impact on how AI understands finance and economics
• Potential for ongoing work and contract extension