Senior Finance Specialist - Canada

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.

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.

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.