Negotiable
Undetermined
Remote
United Kingdom
Summary: The AI Tutor – Buy-Side Finance Data Specialist role at Mercor involves utilizing proprietary software to label and evaluate data in the finance sector, specifically focusing on buy-side finance domains. The position requires collaboration with technical teams to enhance annotation tools and contribute to AI reasoning in investment contexts. Candidates should possess professional experience in finance and strong analytical skills, with a commitment of 40 hours per week. The role is remote or based in Palo Alto, CA, offering competitive hourly compensation.
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 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.
Key Skills:
- 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.
- Advanced finance certification such as CFA, CAIA, or equivalent (preferred).
- Experience mentoring, training, or leading teams in investment analysis or strategy (preferred).
- Comfort with recording short audio or video clips for model training (preferred).
- Familiarity with AI tools, data labeling, or annotation systems (preferred).
Salary (Rate): £100.00/hour
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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.