AI Buy-Side Finance Tutor at Mercor

AI Buy-Side Finance Tutor | $45–100/hr | Remote in US

Mercor is partnering with a leading AI research organization to engage finance professionals with deep buy-side experience in a high-impact, full-time project focused on training and refining next-generation AI systems. Leverage your expertise in portfolio management, hedge funds, private equity, venture capital, and algorithmic trading to enhance advanced AI models.

Role Overview

As an AI Tutor – Buy-Side Finance Data Specialist, you will use proprietary tools to curate, annotate, and evaluate complex financial data, ensuring AI models reflect the nuanced reasoning and decision-making processes of real-world buy-side professionals. This opportunity is ideal for analytical professionals passionate about driving innovation at the intersection of finance and AI.

Key Responsibilities

• Label, annotate, and evaluate data across buy-side finance domains using proprietary software
• Deliver high-quality data related to portfolio management, hedge fund strategies, private equity, venture capital, and algorithmic trading
• Collaborate with technical teams to refine annotation tools and workflows
• Identify complex financial scenarios that meaningfully improve model performance
• Interpret evolving task instructions with precision and sound judgment
• Contribute to AI reasoning development across investment and trading contexts

Ideal Qualifications

• Professional experience in buy-side finance (portfolio manager, hedge fund analyst, private equity associate, venture capitalist, or quant trader)
• Excellent analytical, organizational, and communication skills
• Proficiency in written and spoken English with ability to interpret complex financial material
• Strong attention to detail and ability to work independently
• Demonstrated interest in finance, data, and emerging technologies

Preferred Qualifications

• Advanced finance certification such as CFA, CAIA, or equivalent
• Experience mentoring, training, or leading teams in investment analysis or strategy
• Comfort with recording short audio or video clips for model training
• Familiarity with AI tools, data labeling, or annotation systems

Work Environment & Requirements

• Full-time position, available remotely or in-person in Palo Alto, CA
• Initial training schedule: 9:00am–5:30pm PST for two weeks; afterward, work in your local timezone
• Personal computer must be Chromebook, Mac (macOS 11+), or Windows 10+ device
• Reliable smartphone access required
• U.S.-based applicants must reside outside of Wyoming and Illinois
• Visa sponsorship not available

Compensation

$45–100/hour for U.S.-based professionals, depending on experience, education, skills, geographic location, and qualifications.

Application Process

Submit your resume to begin. Qualified applicants will complete a short initial interview (approximately 15 minutes), followed by a technical deep-dive discussion and brief take-home evaluation. Final stage includes a virtual meeting with the broader team. The full interview process is designed to conclude within one week.

About Mercor

Mercor connects top global talent with leading AI labs and research organizations, enabling experts across disciplines to contribute to frontier AI development. Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey.