Actuarial Analyst | Up to $200K/year

3 weeks ago

Toronto Montreal Calgary Vancouver Edmonton Old Toronto Ottawa Mississauga Quebec Winnipeg Halifax Saskatoon Burnaby Hamilton Victoria Surrey Halton Hills London Regina Markham Brampton Vaughan Kelowna Laval Southwestern Ontario R, Canada Mercor Full time

Actuarial Analyst | Up to $200K/year3 days ago Be among the first 25 applicantsThis range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range: $90,000.00/yr - $200,000.00/yrAbout The JobMercor 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 SpecialistType: Full-timeCompensation: $90,000–$200,000/yearLocation: Palo Alto, CA (in-office, 5 days per week) or RemoteCommitment: 9:00am–5:30pm PST during training, then local timezone thereafterRole ResponsibilitiesUse 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.QualificationsMust-HaveProfessional 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.PreferredProfessional 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.Interview ProcessSubmit 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.Compensation & LegalCompetitive 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 ProcessSubmit your resumeJoin a 20-minute initial interviewTechnical discussion on insurance dataComplete a short take-home assessmentFinal conversation with the project teamResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #J-18808-Ljbffr

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