About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: AI Tutor – Buy-Side Finance Data Specialist
Type: Full-time Compensation: $45–$100/hour Location: Remote or Palo Alto, CA Commitment: 40 hours/week Role 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 to improve model performance.
- Interpret evolving task instructions with precision and sound judgment.
- Contribute to developing and evaluating AI reasoning in investment and trading contexts.
Qualifications Must-Have
- Professional experience in buy-side finance or related roles.
- Excellent analytical, organizational, and communication skills.
- Proficiency in written and spoken English.
- Strong attention to detail and ability to work independently.
- Demonstrated interest in finance, data, and emerging technologies.
Preferred
- 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.
Start Date
- Applications reviewed on a rolling basis.
Interview Process
- Submit resume or CV.
- Short initial interview (15 mins).
- Technical deep-dive discussion and brief take-home evaluation.
- Virtual meeting with the broader team.
- Designed to conclude within one week.
Compensation & Legal
- Hourly contractor
- Paid weekly via Stripe Connect
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: AI Tutor – Buy-Side Finance Data Specialist
Type: Full-time Compensation: $45–$100/hour Location: Remote or Palo Alto, CA Commitment: 40 hours/week Role 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 to improve model performance.
- Interpret evolving task instructions with precision and sound judgment.
- Contribute to developing and evaluating AI reasoning in investment and trading contexts.
Qualifications Must-Have
- Professional experience in buy-side finance or related roles.
- Excellent analytical, organizational, and communication skills.
- Proficiency in written and spoken English.
- Strong attention to detail and ability to work independently.
- Demonstrated interest in finance, data, and emerging technologies.
Preferred
- 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.
Start Date
- Applications reviewed on a rolling basis.
Interview Process
- Submit resume or CV.
- Short initial interview (15 mins).
- Technical deep-dive discussion and brief take-home evaluation.
- Virtual meeting with the broader team.
- Designed to conclude within one week.
Compensation & Legal
- Hourly contractor
- Paid weekly via Stripe Connect
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,