Negotiable
Undetermined
Remote
United Kingdom
Summary: In this remote contractor role, the Senior Finance Specialist will review AI-generated finance analyses and generate expert finance content, focusing on evaluating reasoning quality and problem-solving processes. The position requires a strong finance background to assess solutions for accuracy and clarity while providing detailed feedback. The role is with SME Careers, a subsidiary of SuperAnnotate, aimed at enhancing AI models' financial reasoning capabilities. The ideal candidate will have extensive experience in finance and a commitment to delivering high-quality evaluations and content.
Key Responsibilities:
- Develop AI Training Content: Create detailed prompts and responses to guide AI learning.
- Optimize AI Performance: Evaluate and rank AI responses to enhance accuracy and relevance.
- Ensure Model Integrity: Test AI models for inaccuracies or biases, validating reliability.
Key Skills:
- Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance.
- 5+ years of professional experience in relevant fields.
- Strong command of financial statements, valuation, and markets/instruments.
- Confident in risk/return reasoning and financial modeling logic.
- Able to rigorously review and explain reasoning with high attention to detail.
- Minimum C1 English proficiency.
- Comfortable applying structured sanity checks for finance.
- Reliable, self-directed, and able to deliver consistent quality in a remote workflow.
- Previous experience with AI data training/annotation or editorial QA is preferred.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
In this hourly, remote contractor role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained.
Key Responsibilities
- Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Your Profile
Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting). 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance. Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments. Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks). Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency. Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds). Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. Previous experience with AI data training/annotation, expert review, or editorial QA is strongly preferred.