Negotiable
Undetermined
Remote
Manchester, England, United Kingdom
Summary: This role seeks finance lecturers and economists to enhance AI's understanding of financial and economic reasoning. The position involves reviewing and evaluating finance-related content for AI training datasets, providing feedback to improve AI outputs. It is a fully remote, flexible contract role suitable for both academics and industry professionals. Candidates will leverage their expertise to influence AI systems used by millions in the finance sector.
Key Responsibilities:
- Review finance and economics questions and explanations used in AI training datasets
- Evaluate the accuracy of financial concepts including valuation, risk, market behavior, and macroeconomics
- Identify errors, misconceptions, and gaps in AI-generated financial reasoning
- Provide clear, structured feedback to improve the quality and clarity of AI outputs
- Apply teaching experience to spot common misunderstandings in students and AI systems
- Work independently and asynchronously to complete task-based assignments on your own schedule
Key Skills:
- 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 written financial reasoning and communicate feedback clearly
- Comfortable reviewing structured content at scale with attention to detail
- Self-motivated and reliable when working independently
- Graduate degree in Finance, Economics, or a related field (nice to have)
- Industry or applied finance experience (investment banking, asset management, consulting, etc.) (nice to have)
- Familiarity with AI systems, model evaluation, or data annotation workflows (nice to have)
Salary (Rate): £28.00/hr
City: Manchester
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
About The Role We're looking for finance lecturers and economists to help shape how AI understands financial and economic reasoning. Your expertise will directly influence the quality of AI-generated content in one of the most complex and high-stakes domains — corporate finance, markets, risk, and economic theory. This is a fully remote, flexible contract role that fits around your existing schedule. Whether you're an active academic, an industry professional, or somewhere in between, your deep knowledge of finance can make a meaningful impact on the AI systems used by millions.
Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-Based Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
- Review finance and economics questions and explanations used in AI training datasets
- Evaluate the accuracy of financial concepts including valuation, risk, market behavior, and macroeconomics
- Identify errors, misconceptions, and gaps in AI-generated financial reasoning
- Provide clear, structured feedback to improve the quality and clarity of AI outputs
- Apply your teaching experience to spot the kinds of misunderstandings students — and AI systems — commonly make
- 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, financial markets, or financial economics
- Able to critically evaluate written financial reasoning and communicate feedback clearly
- Comfortable reviewing structured content at scale with attention to detail
- Self-motivated and reliable when working independently
Nice to Have
- Graduate degree in Finance, Economics, or a related field
- Industry or applied finance experience (investment banking, asset management, 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 shaping the future of financial intelligence
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and the chance to collaborate with experts globally
- Contribute to meaningful work that improves how AI handles complex financial topics
- Potential for ongoing work and contract extension