AI Administrative and Operations Tutor

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. 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.