Finance Lecturer
Alignerr, Dallas, TX, United States
About The Role
We're looking for finance lecturers and economists to help shape how AI understands and reasons about financial concepts. Your subject-matter expertise will directly influence the accuracy and quality of AI systems trained on corporate finance, economic theory, and market behavior — work that matters at a global scale.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review finance-related questions, explanations, and reasoning used in AI training datasets
Assess the accuracy and depth of financial concepts including valuation, risk, capital markets, and economic theory
Identify errors, misconceptions, or gaps in AI-generated financial reasoning
Provide structured, expert feedback to improve clarity and conceptual correctness
Apply your teaching experience to flag common student and AI misconceptions
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
Comfortable reviewing structured content systematically and at scale
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 (banking, investment, consulting, 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 flexible — work when and where it suits you
Freelance perks: autonomy, variety, and global collaboration
Make a real impact on how AI understands finance and economics
Potential for ongoing work and contract extension
#J-18808-Ljbffr
We're looking for finance lecturers and economists to help shape how AI understands and reasons about financial concepts. Your subject-matter expertise will directly influence the accuracy and quality of AI systems trained on corporate finance, economic theory, and market behavior — work that matters at a global scale.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review finance-related questions, explanations, and reasoning used in AI training datasets
Assess the accuracy and depth of financial concepts including valuation, risk, capital markets, and economic theory
Identify errors, misconceptions, or gaps in AI-generated financial reasoning
Provide structured, expert feedback to improve clarity and conceptual correctness
Apply your teaching experience to flag common student and AI misconceptions
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
Comfortable reviewing structured content systematically and at scale
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 (banking, investment, consulting, 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 flexible — work when and where it suits you
Freelance perks: autonomy, variety, and global collaboration
Make a real impact on how AI understands finance and economics
Potential for ongoing work and contract extension
#J-18808-Ljbffr