Financial Analyst AI Researcher - Remote
- Toronto, Ontario, Canada
- Remote
- Posted Sep 24, 2026
- 1 position
US$50–US$100 / hour
Opens an external site
- Employment type
- Contract
- Experience level
- Entry, Junior · 0+ years
- Apply by
- Oct 18, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Toronto, Ontario, Canada
- Seniority
- Entry level
Job summary
Review and validate company-level financial statements, operational metrics, and structured datasets to ensure accuracy. Summarize complex financial insights into clear, concise written reports for AI evaluation tasks.
Job details
Financial Analyst AI Researcher (AI Training) About The Role What if your financial expertise could directly shape how AI understands, analyzes, and communicates about the business world? We're looking for Financial Analysts to review financial statements, validate key metrics, and deliver structured insights that help leading AI systems reason about real-world financial data — accurately and reliably. This is a fully remote, flexible contract role. No AI background needed — just a sharp analytical mind, solid finance fundamentals, and a commitment to quality. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review company-level financial statements, operational metrics, and structured datasets Validate key financial metrics and identify trends, anomalies, and inconsistencies Cross-reference narrative disclosures with quantitative data to ensure accuracy and coherence Summarize financial insights in clear, concise written form suitable for AI evaluation tasks Support recurring evaluation cycles with consistent, high-quality analysis Complete task-based assignments independently on your own schedule Who You Are Background in financial analysis, accounting, corporate finance, or a closely related field Strong spreadsheet and quantitative analytical skills — you're comfortable working with real financial data Clear, precise written communicator who can distill complex information into actionable summaries Naturally detail-oriented with a systematic, methodical approach to evaluation Self-motivated and reliable when working independently No prior AI or tech experience required Nice to Have Understanding of sector-specific financial performance drivers across industries Experience with equity research, financial modeling, or investment analysis Familiarity with accounting standards (GAAP, IFRS) or regulatory financial reporting Background in auditing, valuation, or data-driven financial decision-making Why Join Us Work on cutting-edge AI projects alongside leading research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based work Make a direct, tangible impact on how AI understands and reasons about finance Potential for ongoing work and contract extension as new projects launch
What you’ll do
Review and validate company-level financial statements, operational metrics, and structured datasets to ensure accuracy. Summarize complex financial insights into clear, concise written reports for AI evaluation tasks.
Requirements
Candidates should have a background in financial analysis, accounting, or corporate finance with strong quantitative and spreadsheet skills. Excellent written communication and a detail-oriented, methodical approach to data evaluation are required.
Benefits
• Flexible schedule • Remote work
Listed skills
- written communication · Preferred
- Data Validation · Preferred
- Financial analysis · Preferred
- Accounting · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Financial analysis
- Accounting
- Corporate finance
- Spreadsheet skills
- Quantitative analysis
- Written communication
- Data validation
- Financial modeling
- Equity research
- Investment analysis
- GAAP
- IFRS
- Auditing
- Valuation
- Data-driven decision-making
Job areas
- Finance & Accounting
- Science & Research
- Technology
- Data & Analytics
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