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, accuracy, and clarity of AI systems being trained on complex finance topics — from valuation and risk to market behavior and economic theory.

What You'll Do

• Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets
• Assess the accuracy of core financial concepts including valuation, risk, portfolio theory, and market behavior
• Identify misconceptions, logical errors, and gaps in financial reasoning
• Provide clear, structured feedback to improve the quality and depth of AI-generated financial content
• Apply your teaching experience to flag explanations that would confuse or mislead learners
• Work independently and asynchronously to complete tasks 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 critically evaluate and clearly articulate the quality of written financial reasoning
• Comfortable working through structured content independently and at scale
• Detail-oriented, reliable, and self-motivated

Nice to Have

• Graduate degree (Master's or PhD) in Finance, Economics, or a related field
• Applied or industry finance experience (investment banking, asset management, financial consulting, etc.)
• Familiarity with AI systems, model evaluation, or data labeling workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and leading AI organizations
• Fully remote and flexible — complete tasks on your own schedule, from anywhere
• FFreelance perks: autonomy, variety, and collaboration with experts around the world
• Use your academic expertise in a high-impact, forward-looking field
• Potential for ongoing work and contract extension as projects grow

Organization

Organization: Alignerr (Powered by Labelbox)

Type

Type: Hourly / Task-based Contract

Location

Location: Remote

Commitment

Commitment: 10–40 hours/week