Full-Time AI Insurance Tutor

Mercor is partnering with a leading AI research organization to engage professionals with expertise in insurance analysis, actuarial science, and data evaluation. As an AI Insurance Data Specialist, you will play a key role in enhancing next-generation AI models by providing expert annotations and structured data tailored to real-world insurance applications.

Key Responsibilities:

• Use proprietary software to label and annotate insurance-related data.
• Curate high-quality datasets for actuarial, claims, and risk assessment.
• Collaborate with technical teams to improve annotation workflows.
• Identify and solve complex problems in insurance analytics.
• Design efficient data collection and labeling systems.
• Interpret and execute evolving task guidelines.

Qualifications:

• Professional experience in insurance or a related field.
• Proficiency in English writing and communication.
• Strong analytical, organizational, and problem-solving skills.
• Ability to interpret complex instructions and ensure data precision.
• Interest in the intersection of technology, data, and insurance innovation.

Preferred Background:

• Professional certifications (ASA/FSA or CPCU).
• Experience mentoring or training others in insurance-related practices.
• Familiarity with AI, data annotation tools, or machine learning workflows.
• Comfort with recording short audio or video sessions.

Work Environment & Requirements:

• Based in Palo Alto, CA (in-office, 5 days per week) or remote.
• Work schedule: 9:00am–5:30pm PST during training, then local timezone.
• U.S.-based applicants must reside outside of Wyoming and Illinois.
• Required equipment: Chromebook, Mac (macOS 11+), or Windows 10+ device.

Compensation:

• Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals.

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