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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.
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