AI Insurance Tutor

Mercor; Remote; EUR 77.000 - 172.000; Vollzeit

Zusammenfassung

A leading AI research organization based in Berlin is seeking an AI Insurance Data Specialist to enhance AI models through expert data annotations. Responsibilities include annotating insurance data accurately and collaborating with tech teams to refine workflows. Ideal candidates possess insurance industry experience, strong problem-solving skills, and proficiency in English. Competitive compensation ranges from $90,000 to $200,000 annually, depending on experience. Focus on innovative analytics in insurance applications.

Qualifikationen

• Professional experience in insurance or related fields.
• Proficiency in English writing and communication.
• Strong analytical and problem-solving skills.
• Ability to interpret complex instructions.

Aufgaben

• Use proprietary software to label insurance data.
• Curate high-quality datasets for actuarial claims.
• Collaborate to improve annotation workflows.
• Identify solutions for complex analytics problems.
• Design efficient data collection and labeling systems.

Kenntnisse

Insurance analysis

Actuarial science

Data evaluation

Analytical judgment

Communication in English

Jobbeschreibung

Role Overview

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 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.

Ideal 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 five days per week) or may be performed remotely with strong self‑management skills.
• Work schedule: 9:00 am – 5:30 pm 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 will 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.

About Mercor

Mercor is based in San Francisco, CA and specializes in recruiting experts for top AI labs. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.