Full-Time AI Tutor – Buy-Side Finance Data Specialist

Mercor is partnering with a leading AI research organization to engage finance professionals with deep buy-side experience in a high-impact project focused on training and refining next-generation AI systems.

As an AI Tutor – Buy-Side Finance Data Specialist, you will leverage your expertise in portfolio management, hedge fund strategies, private equity investments, venture capital deal sourcing, and high-frequency trading to enhance the accuracy and realism of advanced AI models. Using proprietary tools, you’ll curate, annotate, and evaluate complex financial data.

Key Responsibilities:

• Use proprietary software to label, annotate, and evaluate data across a range of buy-side finance domains.
• Deliver curated, 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 and select complex financial scenarios that can meaningfully improve model performance.
• Interpret evolving task instructions with precision and sound judgment.
• Contribute to the development and evaluation of AI reasoning across investment and trading contexts.

Qualifications:

• Professional experience in buy-side finance or related roles (e.g., 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 the ability to interpret complex financial material.
• Strong attention to detail and ability to work independently.
• Demonstrated interest in the intersection of 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 (5 days per week for on-site).

Compensation & Terms:

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

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