Mercor
Nov 01, 2025 - Mercor is hiring a remote AI Insurance Tutor.
Salary: competitive pay ranging from $90,000 to $200,000 annually. Location: USA.
Role Description Mercor is partnering with a leading AI research organization to engage professionals with advanced 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. Your work will directly influence how AI systems understand and reason about insurance operations, including areas such as risk assessment, actuarial modeling, claims adjustment, and policy evaluation. This is a full-time opportunity for individuals with a deep understanding of insurance data, strong analytical judgment, and a passion for innovation in AI-driven technologies.
Key Responsibilities
Use proprietary software to label and annotate insurance-related data, ensuring accuracy and consistency for AI model development
Curate and deliver high-quality datasets for actuarial, claims, and risk assessment scenarios
Collaborate with technical teams to improve annotation workflows and enhance model training tools
Identify and solve complex problems in insurance analytics to improve AI performance and accuracy
Design and refine efficient data collection and labeling systems for insurance datasets
Interpret and execute evolving task guidelines with precision, adaptability, and independent judgment
Qualifications
Professional experience in insurance or a related field such as actuarial analysis, risk management, or claims processing
Proficiency in both informal and professional English writing and communication
Strong analytical, organizational, and problem-solving skills with the ability to work independently
Demonstrated ability to interpret complex instructions and ensure data precision
Deep interest in the intersection of technology, data, and insurance innovation
Preferred Background
Professional certifications such as Associate or Fellow of the Society of Actuaries (ASA/FSA) or Chartered Property Casualty Underwriter (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 for data training purposes
Work Environment & Requirements
This role is based in Palo Alto, CA (in-office, 5 days per week) or may be performed remotely with strong self-management skills
Work schedule: 9:00am–5:30pm PST during training, then local timezone thereafter
U.S.-based applicants must reside outside of Wyoming and Illinois
Visa sponsorship is not available
Required equipment: Chromebook, Mac (macOS 11+), or Windows 10+ device with reliable smartphone access
Compensation
Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location
International pay ranges available upon request
Compensation packages may include additional benefits based on location
Application Process
Submit your resume to begin the application process
Join a 20-minute initial interview to discuss your background and qualifications
If selected to advance, you’ll move on to a technical discussion focused on insurance data, actuarial methods, and annotation experience
Complete a short take-home assessment centered on data labeling or analytical problem-solving
Conclude with a final conversation with the broader project team
The full interview process is typically completed within one week
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Salary: competitive pay ranging from $90,000 to $200,000 annually. Location: USA.
Role Description Mercor is partnering with a leading AI research organization to engage professionals with advanced 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. Your work will directly influence how AI systems understand and reason about insurance operations, including areas such as risk assessment, actuarial modeling, claims adjustment, and policy evaluation. This is a full-time opportunity for individuals with a deep understanding of insurance data, strong analytical judgment, and a passion for innovation in AI-driven technologies.
Key Responsibilities
Use proprietary software to label and annotate insurance-related data, ensuring accuracy and consistency for AI model development
Curate and deliver high-quality datasets for actuarial, claims, and risk assessment scenarios
Collaborate with technical teams to improve annotation workflows and enhance model training tools
Identify and solve complex problems in insurance analytics to improve AI performance and accuracy
Design and refine efficient data collection and labeling systems for insurance datasets
Interpret and execute evolving task guidelines with precision, adaptability, and independent judgment
Qualifications
Professional experience in insurance or a related field such as actuarial analysis, risk management, or claims processing
Proficiency in both informal and professional English writing and communication
Strong analytical, organizational, and problem-solving skills with the ability to work independently
Demonstrated ability to interpret complex instructions and ensure data precision
Deep interest in the intersection of technology, data, and insurance innovation
Preferred Background
Professional certifications such as Associate or Fellow of the Society of Actuaries (ASA/FSA) or Chartered Property Casualty Underwriter (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 for data training purposes
Work Environment & Requirements
This role is based in Palo Alto, CA (in-office, 5 days per week) or may be performed remotely with strong self-management skills
Work schedule: 9:00am–5:30pm PST during training, then local timezone thereafter
U.S.-based applicants must reside outside of Wyoming and Illinois
Visa sponsorship is not available
Required equipment: Chromebook, Mac (macOS 11+), or Windows 10+ device with reliable smartphone access
Compensation
Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location
International pay ranges available upon request
Compensation packages may include additional benefits based on location
Application Process
Submit your resume to begin the application process
Join a 20-minute initial interview to discuss your background and qualifications
If selected to advance, you’ll move on to a technical discussion focused on insurance data, actuarial methods, and annotation experience
Complete a short take-home assessment centered on data labeling or analytical problem-solving
Conclude with a final conversation with the broader project team
The full interview process is typically completed within one week
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