AI Buy-Side Finance Tutor (Full Time)
Mercor is searching for finance professionals with deep buy-side experience to curate advanced datasets and guide AI systems across investment domains.
As an AI Tutor - Buy-Side Finance Specialist, you will curate, annotate, and evaluate complex financial data to ensure AI systems reflect the nuanced reasoning of investment professionals.
Key Responsibilities
- Use proprietary software to label, annotate, and evaluate data across 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.
Ideal Qualifications
- Professional experience in buy-side finance or related roles such as portfolio manager, hedge fund analyst, private equity associate, venture capitalist, or quantitative 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).
- Initial training schedule runs 9:00am to 5:30pm PST for the first two weeks before transitioning to your local timezone.
- Personal computer must be a Chromebook, Mac (macOS 11+), or Windows 10+ device.
- Reliable smartphone access is required.
- U.S.-based applicants must reside outside of Wyoming and Illinois.
- Visa sponsorship is not available.
Compensation & Terms
- $45-$100/hour for U.S.-based professionals, depending on experience, education, skills, geographic location, and qualifications.
- The posted range applies to U.S.-based candidates; Mercor's recruiting team provides localized ranges for international applicants.
- Hourly pay is just one component of the total rewards package, with benefits varying by country.
Application Process
- Submit your resume or CV to begin the process.
- Complete a short initial interview of approximately 15 minutes.
- Participate in a technical deep-dive discussion and brief take-home evaluation if selected.
- Join a virtual meeting with the broader team during the final stage.
- The full interview process is designed to conclude within one week.
About Mercor & JobHub
Mercor partners with JobHub by NeonLabs to connect top global talent with leading AI labs and research organizations. Through this collaboration, specialists across disciplines can contribute to frontier AI development with structured support.
Mercor is backed by investors including Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. JobHub by NeonLabs recruits on Mercor's behalf and welcomes all qualified applicants without regard to legally protected characteristics, providing reasonable accommodations upon request.
Mercor partners with JobHub by NeonLabs to connect top global talent with leading AI labs and research organizations. Through this collaboration, specialists across disciplines can contribute to frontier AI development with structured support.
Mercor is backed by investors including Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. JobHub by NeonLabs recruits on Mercor's behalf and welcomes all qualified applicants without regard to legally protected characteristics, providing reasonable accommodations upon request.
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