
51 - 200 employees
Founded 2023
🔥 Funding within the last year
💰 $350M Series C - Mercor on 2025-10
Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.
🔥 15 minutes ago
🇺🇸 United States – Remote
💵 $80 / hour
⏳ Contract/Temporary
🟢 Junior
🟡 Mid-level
📊 Actuary
🚫👨🎓 No degree required
👻 Ghost score 3%
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2023
🔥 Funding within the last year
💰 $350M Series C - Mercor on 2025-10
Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.
• Design realistic insurance scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration • Create pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations • Write “golden” reference responses at experienced actuarial and portfolio-risk quality • Grade AI-generated responses against rubrics covering mathematical accuracy, assumption quality, methodology, interpretation, and communication • Identify calculation errors, unsupported assumptions, misuse of actuarial methods, confusion of correlation with causation, and unsupported recommendations • Provide written feedback to improve model behavior • Participate in onboarding office hours and calibration sessions • Work on projects training and enhancing frontier AI models
• 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management • Quantitative analysis using insurance premium, exposure, claim, loss, or reserve data • Understanding of the difference between account-level underwriting judgment and portfolio-level actuarial analysis • Ability to explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiences • Strong quantitative reasoning, excellent written communication, and high attention to detail • Proficiency with spreadsheets and at least one analytical or statistical tool • Bonus: ACAS, FCAS, or active progress toward CAS credentials • Bonus: Experience with personal, commercial, specialty, or reinsurance portfolios • Bonus: Catastrophe modeling, capital modeling, predictive modeling, or rate-filing experience • Bonus: Proficiency with SQL, R, Python, SAS, or actuarial modeling platforms • Bonus: Experience presenting results to underwriting, finance, claims, or executive stakeholders • Must be able to work a minimum of 20 hours per week, ideally 40+ • Must be eligible to work in one of the listed locations: United States, Canada, United Kingdom, Australia, Austria, Belgium, Germany, Denmark, Finland, Ireland, Malta, Netherlands, Norway, New Zealand, or Sweden • H1-B and STEM OPT candidates are not supported
• Flat $800 upon successful completion of the onboarding process • Payments weekly on Stripe or Wise based on services rendered • Fully remote work on your own schedule • Projects can be extended, shortened, or concluded early depending on needs and performance • Collaborate with leading researchers • Referral opportunity paying up to $320 per successful referral • Reasonable accommodations upon request
Apply Now