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Financial Analyst for AI Model Training

chicago, il • Posted 4 days ago
Remote Contract finance
Role Overview

Join a Financial Analyst Expert Network that connects finance professionals with AI research teams and companies. As a network member you will be considered for short-term contract projects that involve training and evaluating AI models on finance tasks, creating real-world tasks and deliverables, and providing domain-specific feedback to advance AI research. This is an open application for future contract opportunities that match your background and interests.

Key Responsibilities
  • Train and evaluate AI models on finance-related problems and datasets
  • Create tasks, prompts, and deliverables grounded in real-world financial scenarios
  • Provide detailed, domain-specific feedback to improve model performance and reliability
  • Contribute to projects with typical weekly commitments between 15 and 30 hours, depending on scope
Qualifications
  • Professional experience in financial modeling and forecasting
  • Experience with financial statement analysis
  • Experience with budgeting and variance analysis
  • Strong written and verbal communication skills
  • Ability to work independently in a remote environment
Work Terms
  • Location: Remote
  • Engagement type: Hourly contract opportunities
  • Typical commitment: 15 to 30 hours per week, projects vary in scope and duration
  • Project matching happens on a rolling basis, placement depends on project availability
Compensation

60 - 180 hourly

Eligibility
  • This is an open application, joining the network does not guarantee immediate work
  • Application steps: complete your profile, upload your resume, and confirm your work location
  • Verification: your credentials will be reviewed and you must pass an AI interview to be approved for relevant projects
  • After verification you will be invited to interview for opportunities that match your expertise and availability
  • Work is remote and schedule varies by project, you will be paid hourly when engaged on assignments
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