Première détection par notre source: il y a 24 jours
Insurance Operations Expert - Fully Remote | Upto $800/task Task based
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote contract Insurance Data & Operations Specialist, paid $800 per task, at 20–40 hours per week. The work is designing insurance data and operations scenarios, writing reference responses, and grading AI outputs against rubrics. Immediate start, rolling review.
Responsabilités :
- Design insurance data and operations scenarios
- Write metric definitions, data-quality assessments and reports
- Write reference responses at expert quality
- Grade AI responses against structured rubrics
- Provide written feedback to the research team
Résumé des exigences :
- 2+ years in insurance data, analysis or operations
- Knowledge of at least one insurance operating domain
- Translate business questions into metrics and controls
- Excellent analytical writing and attention to detail
- Proficient with spreadsheets and one analytics or database tool
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 | Intermédiaire |
| Domaine | Opérations |
| Expérience | 2 an(s) et plus |
| Heures par semaine | 30 |
| 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: Insurance Data & Operations Specialist
Type: Contract
Compensation: $800 per task
Location: Remote
Commitment: 20–40 hours/week
Role Responsibilities
- Design realistic scenarios involving policy, premium, exposure, claim, provider, member, producer, and operational data.
- Create work products such as metric definitions, data-quality assessments, workflow analyses, dashboard requirements, operational reports, root-cause analyses, and process-improvement recommendations.
- Write "golden" reference responses at experienced insurance data and operations quality.
- Grade AI-generated responses against structured rubrics for data interpretation, metric consistency, process understanding, feasibility, and communication.
- Identify incorrect denominators, misleading aggregations, inconsistent definitions, data-lineage gaps, workflow bottlenecks, and conclusions not supported by the available evidence.
- Provide written feedback the research team uses to improve model behavior.
Qualifications
Must-Have
- 2+ years of professional experience in insurance data, business analysis, reporting, operations analysis, quality assurance, or process improvement.
- Understand at least one insurance operating domain, such as underwriting, policy administration, claims, distribution, health-plan operations, reinsurance, or compliance.
- Translated business questions into metrics, reporting requirements, data definitions, workflow changes, or operational controls.
- Analyze a process without substituting for the underwriter, adjuster, clinician, actuary, or compliance specialist responsible for the substantive decision.
- Excellent analytical writing, structured problem-solving, and high attention to detail.
- Proficient with spreadsheets and at least one reporting, database, analytics, or workflow tool.
Preferred
- Experience with SQL, Python, R, Tableau, Power BI, Looker, or insurance data platforms.
- Lean, Six Sigma, project-management, business-analysis, or data-governance credential.
- Experience with policy, billing, claims, CRM, provider, or member-administration systems.
- Data governance, model governance, audit, or operational quality experience.
- Experience developing KPIs, service-level metrics, or executive reporting.
Start Date
- Immediately; 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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