Insurance Operations Expert - Fully Remote | Upto $800/Task Task Based

Mercor; San Francisco (CA); Hybrid; GBP 62,000 - 103,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. Mercor is seeking an Insurance Data & Operations Specialist for a remote contract role, offering $800 per task and a commitment of 20–40 hours per week.

The role involves designing data scenarios, creating metrics and data-quality assessments, writing expert reference responses, and grading AI outputs against rubrics. You will identify data issues, governance gaps, and process bottlenecks, delivering actionable

Qualifications

• 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 (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 processes without substituting for the decision-maker responsible for substantive outcomes.
• Excellent analytical writing, structured problem-solving, and high attention to detail.
• Proficient with spreadsheets and at least one reporting, database, analytics, or workflow tool.

Responsibilities

• Design realistic scenarios involving policy, premium, exposure, claim, provider, member, producer, and operational data.
• Create work products like metric definitions, data-quality assessments, workflow analyses, and dashboard requirements.
• 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, data-lineage gaps, workflow bottlenecks, and unsupported conclusions.
• Provide written feedback to the research team to improve model behavior.

Skills

Data analysis

Reporting

Process improvement

Proficiency with spreadsheets

Tools

SQL

Python

R

Tableau

Power BI

Looker

Job description

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.