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Weekday AI

Equity Research AI Specialist

Weekday AI
Remote Full-time 120–120 USD /hourly United States
Equity-Research-Jobs Equity-Research-Analyst Investment-Research-Specialist Equity-Research-Intern
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Description

Role Overview

Join a leading AI research initiative focused on developing next-generation artificial intelligence systems capable of advanced financial reasoning and investment analysis. This is a remote, contract-based opportunity offering flexible working hours and the chance to contribute to cutting-edge AI innovation.

What You Will Do

Apply your knowledge of equity research and SEC filings to create, review, and evaluate high-quality financial content that enhances AI models' analytical capabilities. Key responsibilities include evaluating financial analysis, analyzing public company filings, developing financial evaluation tasks, and collaborating with research teams.

Why It Might Be a Fit

This role is ideal for experienced Equity Research professionals who want to contribute their expertise toward training and evaluating AI models. You will have the opportunity to help advance AI systems capable of sophisticated financial reasoning and apply your equity research expertise to high-impact AI development projects.

Requirements

  • Minimum of 2 years of professional experience in Equity Research at a recognized financial institution or investment firm
  • Hands-on experience analyzing and extracting insights from SEC filings, including annual reports, quarterly reports, and other public disclosures
  • Strong understanding of financial statement analysis, company valuation concepts, equity research methodologies, public market investing, and corporate financial reporting
  • Excellent analytical, written, and communication skills
  • High attention to detail with the ability to evaluate complex financial information accurately

Benefits

  • Flexible work schedule
  • Weekly payments through supported payment platforms
  • Minimum commitment of 10 hours per week
  • Initial engagement of at least four weeks, with opportunities for extension based on project needs and performance

Originally posted on Himalayas

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