Mercor - 432 emplois
Toronto, ON
Posté aujourd'hui
Détails de l'emploi :
Télétravail
800 $ / semaine
Temps plein
Niveau d`entrée
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/hour
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.
Partager un emploi :
Foire aux questions
The role is Insurance Data & Operations Specialist, a contract position that starts immediately with rolling applications.
This position is based remotely, with the location noted as Toronto, ON.
Compensation is $800.00 per hour.
You will design scenarios using policy, premium, exposure, claim, provider, member, and operational data, create data quality assessments and dashboard requirements, and provide feedback to improve model behavior and data processes.
At least 2+ years in insurance data, business analysis, reporting, operations analysis, quality assurance, or process improvement, plus understanding of an insurance operating domain and ability to translate business questions into metrics and data definitions.
Preferred skills include SQL, Python, R, Tableau, Power BI, Looker, or insurance data platforms, along with experience in data governance or KPI development.
The process includes uploading your resume, an AI interview based on your resume, and submitting the form, with applications reviewed daily and rolling until filled.
