Business Services & Consulting • all cities, IN 16
Financial Analyst AI Researcher (16)
all cities, IN 16On-sitePosted 1 day ago
Business Services & Consulting
About the Role
Financial Analyst AI Researcher
We're looking for experienced financial professionals to help evaluate and improve AI systems trained on financial content. Your analytical expertise will directly shape how AI understands, interprets, and communicates complex financial data — making a real impact on the future of finance-focused AI.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: Flexible hours, work on your own schedule
What You'll Do
Review and analyze company-level financial statements, operational metrics, and structured datasets
Validate key financial metrics, ratios, and trends for accuracy and consistency
Summarize financial insights in clear, concise written evaluations
Cross-reference narrative disclosures with quantitative data to identify gaps or inconsistencies
Support recurring AI evaluation cycles with structured, expert feedback
Apply sector-specific knowledge to assess the quality and relevance of AI-generated financial analysis
Who You Are
Must-Have:
Hands-on experience in financial analysis, accounting, corporate finance, or a related field
Strong spreadsheet and quantitative analytical skills
Ability to communicate complex financial concepts clearly in writing
Detail-oriented with a systematic approach to data validation
Nice to Have:
Understanding of sector-specific performance drivers (e.g., SaaS metrics, retail comps, energy margins)
Experience with financial modeling, equity research, or investment analysis
Familiarity with AI or data evaluation workflows
Why Join Us
Work on cutting-edge AI projects with leading research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that shapes how AI handles financial intelligence
Potential for ongoing work and contract extension
Financial Analyst AI Researcher
We're looking for experienced financial professionals to help evaluate and improve AI systems trained on financial content. Your analytical expertise will directly shape how AI understands, interprets, and communicates complex financial data — making a real impact on the future of finance-focused AI.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: Flexible hours, work on your own schedule
What You'll Do
Review and analyze company-level financial statements, operational metrics, and structured datasets
Validate key financial metrics, ratios, and trends for accuracy and consistency
Summarize financial insights in clear, concise written evaluations
Cross-reference narrative disclosures with quantitative data to identify gaps or inconsistencies
Support recurring AI evaluation cycles with structured, expert feedback
Apply sector-specific knowledge to assess the quality and relevance of AI-generated financial analysis
Who You Are
Must-Have:
Hands-on experience in financial analysis, accounting, corporate finance, or a related field
Strong spreadsheet and quantitative analytical skills
Ability to communicate complex financial concepts clearly in writing
Detail-oriented with a systematic approach to data validation
Nice to Have:
Understanding of sector-specific performance drivers (e.g., SaaS metrics, retail comps, energy margins)
Experience with financial modeling, equity research, or investment analysis
Familiarity with AI or data evaluation workflows
Why Join Us
Work on cutting-edge AI projects with leading research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that shapes how AI handles financial intelligence
Potential for ongoing work and contract extension
What You'll Do
Review and analyze company-level financial statements, operational metrics, and structured datasets
Validate key financial metrics, ratios, and trends for accuracy and consistency
Summarize financial insights in clear, concise written evaluations
Cross-reference narrative disclosures with quantitative data to identify gaps or inconsistencies
Support recurring AI evaluation cycles with structured, expert feedback
Apply sector-specific knowledge to assess the quality and relevance of AI-generated financial analysis