About The Role We're looking for finance lecturers and economists to help shape how the next generation of AI understands financial and economic concepts. Your subject-matter expertise will directly influence how AI reasons about valuation, risk, markets, and more — making a real impact on one of the most high-stakes domains in AI development.

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 key 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 suggest clearer explanations

Work independently and asynchronously on a schedule that suits you Who You Are 3+ years of experience teaching finance or economics at the postsecondary level





Solid command of corporate finance, financial markets, or financial economics

Able to critically evaluate written financial reasoning and communicate feedback clearly

Comfortable working through structured content independently and at scale

Self-motivated and reliable in a remote, asynchronous workplace Nice to Have Graduate degree in Finance, Economics, or a related field

Industry or applied finance experience (investment banking, asset management, financial analysis, 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 versatile — work on your own schedule

Freelance perks: autonomy, variety, and global collaboration

Contribute to meaningful work that shapes how AI understands the financial world

Potential for ongoing work and contract extension

📌 Finance Lecturer Ai Training Melbourne
🏢 Alignerr
📍 Melbourne