Première détection par notre source: il y a 24 jours
Senior Claims Examiner - Multiline
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a Senior Multiline Claims Examiner on a remote contract at $800 per hour, for 20 to 40 hours a week, to create and grade claims scenarios for AI research labs. The work involves writing reference responses and evaluating AI-generated claim-handling work against rubrics. The posting asks for 2 or more years of P&C claims experience and an immediate start, with applications reviewed on a rolling basis.
Responsabilités :
- Design realistic claims scenarios across the full claim lifecycle
- Write expert reference responses and work products
- Grade AI-generated responses against structured rubrics
- Identify premature conclusions and unsupported valuations
- Provide written feedback for model improvement
Résumé des exigences :
- 2+ years of professional P&C claims handling experience
- Experience in at least one claims area such as property or auto
- Ability to apply policy language to claim facts
- Excellent written analysis and attention to detail
- Insurance designation such as AIC or CPCU preferred
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-17
- Mise à jour du dossier source
- 2026-10-17
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Assurance qualité |
| Expérience | 2 an(s) et plus |
| Heures par semaine | 20 |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mercor
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Description complète de l’entreprise
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- Abonnés LinkedIn
- 654 507
- Personnes associées sur LinkedIn
- 5 250
- Bureaux déclarés
- San Francisco, California 94105, US
- Catégories d’activité
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Autres noms enregistrés
- Mercor
- Le profil indique une agence de recrutement
- Oui
- Investissement total déclaré
- 483 600 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2023 |
| Offres sur Jobsy | 1 626 |
| Voir la page |
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: Senior Multiline Claims Examiner
Type: Contract
Compensation: $800/hour
Location: Remote
Commitment: 20–40 hours/week
Role Responsibilities
- Design realistic claims scenarios involving first notice of loss, coverage verification, investigation, documentation, reserving, damage evaluation, negotiation, settlement, subrogation, salvage, and closure.
- Create work products such as claim action plans, coverage analyses, investigation requests, evaluation summaries, settlement recommendations, and insured communications.
- Write "golden" reference responses at experienced claims-professional quality.
- Grade AI-generated responses against structured rubrics for factual accuracy, policy application, claim-handling judgment, and procedural completeness.
- Identify premature conclusions, missing investigative steps, unsupported valuations, improper communications, and failures to distinguish covered damage from excluded or unrelated loss.
- Provide written feedback the research team uses to improve model behavior.
Qualifications
Must-Have
- 2+ years of professional P&C claims handling, adjusting, or examining experience.
- Experience handling claims in at least one area such as property, auto physical damage, bodily injury, general liability, commercial casualty, catastrophe, or specialty claims.
- Understanding of the claim lifecycle from intake and investigation through evaluation, resolution, recovery, and closure.
- Ability to read and apply policy language to claim facts while recognizing when escalation is required.
- Excellent written analysis, balanced judgment, and high attention to detail.
- Ability to distinguish ordinary claim adjudication from complex coverage, litigation, regulatory, and actuarial work.
Preferred
- AIC, CPCU, SCLA, or comparable insurance designation.
- Multiline or multistate claims experience.
- Catastrophe, represented bodily injury, litigation, subrogation, SIU, or large-loss exposure.
- Experience supervising independent adjusters, experts, vendors, or defense counsel.
- Active or previously held adjuster license.
Start Date
- Immediate; applications reviewed on a rolling basis.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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