Equity Research Expert AI Training Contractor

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps people apply their professional expertise to projects that shape how modern AI systems learn, reason, and perform.

Creating an OpenTrain account is free, and candidates can apply in minutes. This contractor opportunity is fully remote and open worldwide.

• Contractor role with part-time availability
• Remote work from anywhere worldwide
• Candidates apply through OpenTrain

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists review, write, label, and evaluate examples that help models produce more accurate and useful results. In this project, your equity research expertise will support text generation and evaluation tasks involving advanced financial analysis.

No prior AI experience is required. Your domain knowledge, research judgment, and ability to communicate complex financial concepts clearly are the foundation of your contribution.

• Help shape how next-generation AI systems learn and reason
• Apply real-world financial expertise to text-based model evaluation
• Work remotely with a flexible, limited weekly commitment

The Role

OpenTrain AI is engaging an Equity Research Expert to contribute to a project focused on advanced financial analysis, modeling, and sector insights for AI training. You will review and develop high-quality research-related content, assess datasets, and provide detailed feedback grounded in real-world equity research practice.

The role is designed for an expert with substantial experience in equity research, financial modeling, earnings analysis, peer benchmarking, sector analysis, investment thesis development, valuation, and professional written and verbal communication.

• Pay rate: $175 to $300 per hour
• Role type: Contractor
• Experience level: Expert
• Expected commitment: Less than 20 hours per week
• Expected project duration: Less than one month
• Working language: English
• Native or bilingual English proficiency required

What You'll Do

You will help ensure that financial research examples used for AI training are accurate, relevant, well-reasoned, and clearly communicated. Your work will combine quantitative analysis with qualitative judgment and sector-specific insight.

You will also collaborate with project stakeholders by identifying data-quality issues and suggesting improvements to research-related content.

• Review, assess, and contribute to datasets modeling real-world equity research analysis.
• Analyze earnings reports, perform estimate revisions, and synthesize peer benchmarking insights for AI training purposes.
• Deliver detailed written evaluations of company models, including revenue, margin, cash flow, and valuation drivers.
• Produce concise research summaries and event-driven updates based on deep sector expertise.
• Develop and articulate investment theses that connect qualitative and quantitative factors to actionable perspectives.
• Identify industry trends, sector-specific metrics, and company catalysts relevant to fundamental analysis.
• Provide feedback on data quality and improve research-related content.

Requirements and Preferred Qualifications

This opportunity is intended for an experienced equity research professional who can independently assess company performance, maintain or evaluate comprehensive models, and defend well-supported research views. Experience with text labeling workflows, text generation, and evaluation rating tasks is also required.

Relevant backgrounds include sell-side Research Associate roles with direct ownership of company models and written research, or publishing and lead Research Analyst positions such as VP or Director. Deep specialist expertise in at least one sector, such as banks, insurance, or biotech, is preferred.

• Extensive equity research and financial analysis subject matter expertise
• Experience with text labeling workflows
• Experience with text generation and evaluation rating tasks
• Direct experience with company models and written research
• Experience covering multiple companies through several earnings cycles
• Ability to connect business drivers to financial outcomes and valuation
• Expertise in at least one sector, such as banks, insurance, or biotech
• Strong written and verbal communication skills
• Experience with earnings analysis, peer benchmarking, valuation, and event-driven research
• Experience formulating and defending investment theses
• Accountability for research accuracy and quality

Why This Work Matters

Every major AI system depends on carefully prepared and reviewed examples. By applying your expertise to financial research content, you can help models better understand analytical reasoning, valuation drivers, company performance, and sector context.

AI training is a fast-growing way to work at the intersection of professional expertise and technology. This flexible remote project lets you contribute to cutting-edge systems without requiring a prior career in AI.

• Use specialized finance expertise in an emerging technology field
• Contribute to high-quality financial reasoning and analysis examples
• Choose a flexible project with a commitment under 20 hours per week

How to Apply

Create a free OpenTrain account and apply through OpenTrain. Be prepared to highlight your equity research background, sector expertise, financial modeling experience, and familiarity with text labeling, generation, or evaluation work.

• Apply online through OpenTrain
• Showcase relevant equity research and financial analysis experience
• Confirm your English proficiency and availability for the project schedule