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Equity Research AI Training Reviewer

Review and improve financial analysis datasets used to train AI systems. This remote contractor role pays $175 to $300 per hour and requires strong equity research, modeling, valuation, and written research skills.

Apply now

How the AI interview works

  1. Apply here on OpenTrain. You create a free account, and we send you to the hiring platform.
  2. Complete your application on the hiring platform.
  3. If you are shortlisted, you are invited to an AI interview.

What to expect

  • It is a conversational interview with an AI recruiter.
  • You can take it any time, from anywhere.
  • It asks open-ended technical questions based on the role, and scenario questions on how you think, solve problems and communicate.
  • You see right away whether you meet the certification criteria. If you do not, you can ask for feedback.
OpenTrain AI

Legal & Finance

Remote Hourly · $175–$300/hr

$175–$300/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 7, 2026

Posted

Open in 53 countries

United States
+ more
  • Algeria
  • Argentina
  • Austria
  • Bahrain
  • Bangladesh
  • Belgium
  • Brazil
  • Canada
  • Chile
  • Colombia
  • Denmark
  • Egypt
  • Ethiopia
  • France
  • Germany
  • Ghana
  • Greece
  • India
  • Indonesia
  • Italy
  • Japan
  • Jordan
  • Kazakhstan
  • Kenya
  • Kuwait
  • Kyrgyzstan
  • Lebanon
  • Malaysia
  • Mexico
  • Morocco
  • Netherlands
  • Nigeria
  • Oman
  • Pakistan
  • Palestine
  • Peru
  • Philippines
  • Portugal
  • Qatar
  • Saudi Arabia
  • Singapore
  • South Africa
  • Spain
  • Sri Lanka
  • Switzerland
  • Taiwan
  • Thailand
  • Tunisia
  • United Arab Emirates
  • United Kingdom
  • United States
  • Uzbekistan
  • Vietnam

The Work

You will review and improve datasets that represent real-world equity research analysis. The work requires careful judgment about earnings, financial models, valuation, sector trends, and the quality of written research.

  • Review financial analysis datasets for accuracy and relevance.
  • Analyze earnings reports, revise estimates, and synthesize peer benchmarking insights.
  • Evaluate company models across revenue, margins, cash flow, and valuation drivers.
  • Write concise research summaries and event-driven updates based on sector expertise.
  • Develop investment theses that connect qualitative business factors with quantitative results.
  • Identify industry trends, sector metrics, and company catalysts relevant to fundamental analysis.
  • Give feedback on data quality and improve research-related content.

What It Pays And Takes

This is a remote, part-time contractor role. The work requires demonstrated equity research judgment and domain expertise; prior AI training experience is not required.

  • Pay: $175 to $300 per hour.
  • Location: Remote and open to candidates in the countries specified for this role.
  • Language: Professional fluency in English.
  • Experience: Extensive sell-side Research Associate experience with direct ownership of company models and written research, or publishing and lead Research Analyst experience.
  • Experience covering multiple companies through several earnings cycles while maintaining comprehensive models.
  • Ability to connect business drivers to financial outcomes and valuation.
  • Deep specialist expertise in at least one sector, such as banking, insurance, or biotechnology.
  • Strong written and verbal communication skills for explaining complex financial concepts clearly.
  • Experience with detailed earnings analysis, peer benchmarking, valuation, event-driven updates, and investment theses.
  • Experience defending research views and taking responsibility for research accuracy and quality is valuable.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training work uses examples reviewed or created by people to help artificial intelligence systems produce better results. OpenTrain is a platform where people find these roles, and experienced professionals are valued because their subject knowledge helps evaluate complex model content accurately.

Requirements

  • Experience: Entry level
  • Languages: English

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