Finance Lecturer (AI Training)

About the Role

We're looking for finance lecturers and economists to help train the next generation of AI systems. Your subject-matter expertise will directly shape how AI understands and communicates financial reasoning — from corporate valuation to market behavior to economic theory.

What You'll Do

• Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets
• Assess the accuracy of key financial concepts including valuation, risk management, market behavior, and financial economics
• Provide clear, structured feedback to improve the quality and clarity of AI-generated financial reasoning
• Apply your teaching experience to identify common misconceptions and gaps in AI-generated content
• Work independently and asynchronously to complete task-based assignments on your own schedule

Who You Are

• 3+ years of experience teaching finance or economics at the postsecondary level
• Strong command of corporate finance, capital markets, or financial economics
• Able to critically evaluate written financial reasoning and communicate feedback clearly
• Comfortable working through structured content at scale with attention to detail
• 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 (investment banking, asset management, etc.)
• Familiarity with AI systems, model evaluation, or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and frontier language models
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and global collaboration
• Gain firsthand exposure to how large language models are trained and evaluated
• Contribute to meaningful work that shapes how AI reasons about finance and economics worldwide
• Potential for ongoing work and contract extension

Organization

Alignerr (Powered by Labelbox)

Type

Hourly Contract

Location

Remote

Commitment

10–40 hours/week