AI Administrative and Operations Tutor

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Role Description

Mercor is seeking talented professionals to join as

AI Administrative and Operations Data Specialists

. This is a

full-time role

focused on enhancing advanced AI systems through high-quality data annotations and insights in administrative and operational contexts.

• Apply expertise in process optimization, inventory management, workflow design, and project coordination to help train AI models.
• Collaborate with technical teams to refine tools, curate impactful datasets, and ensure data quality meets the highest standards.
• Ideal for professionals who thrive in fast-paced environments and are passionate about innovation, structure, and analytical excellence.

Qualifications

• Professional experience in administrative services, operations, or related roles such as operations manager, administrative services manager, project management specialist, purchasing agent, or inventory supervisor.
• Strong proficiency in written and spoken English, with excellent comprehension and communication skills.
• Demonstrated analytical, organizational, and problem-solving abilities.
• Ability to work independently, applying sound judgment and attention to detail.
• Genuine interest in technological innovation and operational efficiency.

Requirements

• Use proprietary tools to label, annotate, and evaluate data related to administrative and operational projects.
• Deliver curated, high-quality data for use in AI model training, particularly in areas like workflow optimization, inventory systems, and project coordination.
• Collaborate closely with technical teams to refine annotation tools and improve data processes.
• Identify and analyze complex operational challenges that enhance AI performance and decision-making.
• Adapt to evolving instructions and maintain precision and consistency in data interpretation.

Preferred Qualifications

• Relevant certifications such as PMP, CPIM, or other operations or administrative credentials.
• Experience mentoring or training others in administrative or operational best practices.
• Comfort with recording audio or video content for data-related projects.
• Familiarity with AI systems, data labeling, or annotation workflows.

Work Environment and Expectations

• This
  
  full-time position
  
  can be based in Palo Alto, CA (in-office, 5 days per week) or fully remote for self-motivated professionals.
• Team members work from 9:00 a.m. to 5:30 p.m. PST for the first two weeks, then shift to their local time zone.
• For remote employees, a Chromebook, Mac (macOS 11+), or Windows 10+ computer is required, along with reliable smartphone access.
• Visa sponsorship is not available.
• U.S.-based candidates must reside outside Wyoming and Illinois.

Compensation

• Pay ranges from
  
  $45–$100 per hour
  
  , depending on experience, education, and location.
• International pay rates are available upon request.

Application Process

• After you apply, our recruiting team will carefully review your resume and statement of exceptional work.
• Candidates who advance will begin with a short 15-minute phone interview to discuss background and fit.
• From there, you’ll move into a focused technical conversation exploring your administrative and operational expertise, followed by a brief take-home challenge centered on data labeling.
• Finalists will meet the broader team to learn more about the project and culture.
• Our goal is to make the process fast and transparent — most candidates complete all stages within one week.