Equity Research AI Evaluation Expert

You will help assess AI systems used in financial research. Your feedback will be grounded in published sell-side research standards and practical experience with public-company analysis.

• Take part in structured expert interviews about sell-side research methods and workflows.
• Test AI tools for equity research and assess their usability, coverage, and analytical output.
• Review generated financial content for accuracy, depth, clarity, and relevance to the industry.
• Explain how AI tools could fit into established equity research processes.
• Document observations and recommendations that could improve AI models for financial research.
• Work with project coordinators to make feedback actionable and aligned with project goals.
• Provide clear written and verbal feedback based on professional research standards.

What it pays and takes

This is a remote, part-time contractor role for an experienced equity research professional. The listed experience level is entry level, while the role requires current or recent sell-side experience and published research work.

• Pay: $180 to $220 per hour.
• Work arrangement: Remote, part-time contract work.
• Language: Professional fluency in English.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, Ethiopia, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Required experience: Current or recent work as a sell-side Equity Research Analyst or Associate.
• Published research: Experience covering public companies, including ratings, price targets, earnings notes, or coverage initiations.
• Financial research tools: Familiarity with AI tools used in financial research or analysis workflows.
• Communication: Strong written and verbal communication, with the ability to explain complex ideas clearly.
• Analysis: Strong analytical judgment, close attention to detail, and the ability to combine information from multiple sources.
• Client standards: Experience working with institutional clients and understanding published sell-side research standards.
• Helpful background: Experience with interviews, panel discussions, or feedback sessions about industry tools and practices.

How it works

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

About AI training work

AI training is the human work behind systems that learn from examples, including reviewing model responses and evaluating generated content. People with professional expertise are needed to judge whether AI output is accurate, useful, and appropriate for real-world work.