Equity Research Analyst for AI Training

SaidGig; New York (NY); Remote; USD 241,000 - 413,000; Full time

Job summary

SaidGig is seeking a remote contract equity research specialist to train AI systems using real-world financial analysis. You will review datasets, analyze earnings, and develop investment theses grounded in sector knowledge.

The role requires extensive equity research experience, with ownership of models and written research across multiple earnings cycles. Strong communication skills and deep sector expertise are essential.

Qualifications

• Extensive equity research experience with ownership of company models and written research.
• Proven ability to cover multiple companies through earnings cycles with comprehensive models.
• Strong financial modeling, earnings analysis, and valuation skills.
• Ability to connect business drivers to financial outcomes and valuation.
• Specialist expertise in at least one sector (banks, insurance, biotech).
• Experience producing granular earnings analysis and defensible research views.
• Exceptional written and verbal communication skills to explain complex financial concepts clearly.

Responsibilities

• Review and contribute to datasets reflecting real-world equity research analysis with emphasis on accuracy.
• Analyze earnings reports, revise estimates, and synthesize peer benchmarking insights for AI training.
• Evaluate company models including revenue, margins, cash flow, and drivers.
• Create concise written research summaries and event-driven updates.
• Develop investment theses linking qualitative and quantitative factors to actionable views.
• Identify industry trends, sector metrics, and catalysts related to fundamental analysis.
• Collaborate with stakeholders to improve data quality for research content.

Skills

Equity research

Financial modeling

Earnings analysis

Peer benchmarking

Investment thesis development

Data analysis

Valuation analysis

Job description

Role Overview

Apply equity research expertise to help train next-generation AI systems through accurate, real-world financial analysis, modeling, and sector insight. This remote contract role focuses on improving how AI systems learn, reason, and perform. Prior AI experience is not required.

Key Responsibilities

• Review, assess, and contribute to datasets that reflect real-world equity research analysis, with attention to accuracy and relevance.
• Analyze earnings reports, revise estimates, and synthesize peer benchmarking insights for AI training.
• Evaluate company models in detail, including revenue, margin, cash flow, and valuation drivers.
• Create concise written research summaries and event-driven updates informed by deep sector knowledge.
• Develop and communicate investment theses that connect qualitative and quantitative factors to actionable perspectives.
• Identify industry trends, sector-specific metrics, and company catalysts relevant to fundamental analysis.
• Collaborate with project stakeholders to provide data-quality feedback and improve research-related content.

Qualifications

• Extensive equity research experience, preferably as a sell-side Research Associate with direct ownership of company models and written research, or as a publishing or lead Research Analyst, including VP or Director-level titles.
• A record of independently covering multiple companies through several earnings cycles while maintaining comprehensive models.
• Strong financial modeling, earnings analysis, peer benchmarking, data analysis, valuation analysis, and investment thesis development skills.
• Ability to connect business drivers to financial outcomes and valuation.
• Deep specialist expertise in at least one sector, such as banks, insurance, or biotech.
• Experience producing granular earnings analysis, event-driven research updates, and defensible research views, with accountability for accuracy and quality.
• Exceptional written and verbal communication skills, including the ability to explain complex financial concepts clearly.

Work Terms

Remote contract engagement.

Compensation

$175 to $300 per hour.