Insurance Data Analyst - AI Focus
MercorGermany17 hours ago
Full-timeRemote FriendlyResearch
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About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: AI Insurance Data Specialist
Type: Full-time
Compensation: $90,000–$200,000/year
Location: Palo Alto, CA (in-office, 5 days per week) or Remote
Commitment: 9:00am–5:30pm PST during training, then local timezone thereafter
Role Responsibilities
Must-Have
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Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: AI Insurance Data Specialist
Type: Full-time
Compensation: $90,000–$200,000/year
Location: Palo Alto, CA (in-office, 5 days per week) or Remote
Commitment: 9:00am–5:30pm PST during training, then local timezone thereafter
Role 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.
Must-Have
- 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.
- 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.
- 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.
- 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.
- Submit your resume
- Join a 20-minute initial interview
- Technical discussion on insurance data
- Complete a short take-home assessment
- Final conversation with the project team
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: [email protected]
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