Finance Lecturer (AI Training)

Alignerr Corp.; Vancouver; Remote; CAD 78,000 - 177,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr (Powered by Labelbox) is seeking finance lecturers and economists for a remote, flexible contract to help shape how AI explains financial reasoning. You will review and improve AI explanations of valuation, risk, and market behavior, contributing to clearer and more accurate content for millions of users.

The role is hourly and task-based, offering 10–40 hours per week. No AI experience required—your finance or economics teaching expertise is the key asset, with autonomy to work on your

Qualifications

• 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 at scale.
• Detail-oriented, reliable, and comfortable working independently.
• No prior AI experience required — your subject matter expertise is what matters.

Responsibilities

• Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets
• Assess the accuracy of financial concepts including valuation, risk analysis, and market behavior
• Identify common misconceptions and reasoning errors in AI-generated financial content
• Provide clear, structured feedback to improve the quality and clarity of AI financial reasoning
• Apply your teaching experience to ensure content is both technically accurate and pedagogically sound
• Work independently and asynchronously on your own schedule

Skills

Teaching finance

Finance concepts evaluation

Economics knowledge

Education

Graduate degree in Finance or Economics

Job description

About The Role

We're looking for finance lecturers and economists to help shape how the next generation of AI understands financial reasoning. Your expertise will directly influence how AI systems explain valuation, risk, market behavior, and economic concepts — making complex finance more accurate and accessible for millions of users.

This is a fully remote, flexible contract role powered by Alignerr (by Labelbox), working at the frontier of 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 of financial concepts including valuation, risk analysis, and market behavior
• Identify common misconceptions and reasoning errors in AI-generated financial content
• Provide clear, structured feedback to improve the quality and clarity of AI financial reasoning
• Apply your teaching experience to ensure content is both technically accurate and pedagogically sound
• 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 at scale
• Detail-oriented, reliable, and comfortable working independently
• No prior AI experience required — your subject matter expertise is what matters

Nice to Have

• Graduate degree in Finance, Economics, or a related field
• Industry or applied finance experience (investment banking, asset management, etc.)
• Familiarity with AI model evaluation or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects with leading research labs and AI companies
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful impact by improving how AI communicates financial knowledge
• Potential for ongoing work and contract extension