Job description
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.
This is a fully remote, flexible contract role. Work on your own schedule and contribute to cutting-edge AI projects that are redefining how machines understand complex financial concepts.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly 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 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