AI Sales and Marketing Tutor

1. Role Overview

Mercor is partnering with a leading AI research organization to engage professionals with advanced expertise in sales and marketing for a full-time opportunity focused on enhancing next-generation AI systems. As an AI Sales and Marketing Data Specialist, you will apply your experience in customer engagement, sales operations, marketing strategy, and order processing to refine and train sophisticated AI models. Your insights will help ensure that AI systems accurately understand and respond to real-world business dynamics, empowering organizations to make smarter, data-driven decisions.

This position is ideal for professionals who thrive at the intersection of technology, data, and commerce, and who are eager to shape the future of AI applications in the sales and marketing landscape.

2. Key Responsibilities

• Use proprietary tools to annotate and label data for sales and marketing projects, ensuring exceptional accuracy and contextual relevance
• Deliver curated datasets that reflect real-world scenarios in sales strategy, marketing execution, and customer engagement
• Collaborate with technical teams to improve annotation workflows and develop efficient labeling systems for complex business data
• Support the training and evaluation of AI models through data selection, analysis, and refinement
• Adapt to evolving task guidelines, maintaining precision and professional judgment in fast-changing environments
• Apply analytical reasoning to identify and solve complex sales and marketing challenges that enhance model performance
  
  
  

3. Ideal Qualifications

• Proven professional experience in sales, marketing, or related roles such as sales manager, marketing strategist, or sales representative in wholesale or retail
• Excellent written and verbal communication skills, with strong command of professional and conversational English
• Strong interpersonal, organizational, and analytical abilities
• Ability to exercise independent judgment and deliver consistent results under limited supervision
• Deep interest in the intersection of technology, innovation, and commercial strategy
  
  
  

4. Preferred Qualifications

• Certifications or formal training in sales or marketing (e.g., sales management certification, marketing accreditation)
• Experience mentoring or training others in sales or marketing best practices
• Familiarity with AI, data annotation, or model training processes
• Comfort participating in recorded sessions for data collection or evaluation purposes
  
  
  

5. Work Environment

This role may be performed in-person at our Palo Alto, CA office (5 days per week) or fully remote for highly motivated professionals

• U.S.-based applicants must reside outside of Wyoming and Illinois
• The initial training period operates 9:00am–5:30pm PST for two weeks, followed by local timezone alignment
• A reliable computer (Chromebook, Mac with macOS 11+, or Windows 10+) and smartphone are required for all remote candidates
• Visa sponsorship is not available
  
  
  

6. Compensation and Benefits

• Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location
• For international candidates, our recruiting team will share a localized compensation range based on your region and experience
• Specific benefits may vary by country; depending on your location, you may be eligible for comprehensive medical coverage
  
  
  

7. Application Process

• Submit your resume or CV
• Participate in a 20-minute introductory interview to discuss your background and qualifications
• Successful candidates will move forward to a 15-minute follow-up call with the recruiting team
• Those who advance will participate in a technical discussion focused on their sales and marketing expertise
• Complete a take-home data annotation challenge
• Conclude with a meet-and-greet with the team
  
  
  

8. About Mercor

Mercor is based in San Francisco, CA and specializes in recruiting experts for top AI labs. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.