First seen by our source: 20 days ago
Policy Administration Specialist - Remote | Upto $800/task Task based
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract Policy Administration & Insurance Operations Manager at $800 per hour, for 20 to 40 hours a week, to design scenarios, write reference work products, and grade AI responses on insurance policy administration. The work covers the full policy lifecycle from intake and binding through renewals and cancellations. Applicants must have two or more years of policy administration or insurance servicing experience and start immediately.
Responsibilities:
- Design insurance policy administration scenarios
- Write expert reference responses for operations work
- Grade AI responses against structured rubrics
- Identify processing errors and documentation gaps
- Provide written feedback to the research team
Requirements summary:
- 2+ years in policy administration or insurance servicing
- Understanding of the full policy lifecycle
- Hands-on experience with policy administration systems
- Ability to turn procedures into operational steps
- Excellent written communication and attention to detail
- Ability to separate administration from underwriting and claims decisions
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-17
- Source record updated
- 2026-10-17
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Business operations |
| Experience | 2+ years |
| Hours per week | 30 |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mercor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Full company description
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- LinkedIn followers
- 654,507
- People associated on LinkedIn
- 5,250
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Mercor
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 483,600,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View 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: Policy Administration & Insurance Operations Manager
Type: Contract
Compensation: $800/hour
Location: Remote
Commitment: 20–40 hours/week
Role Responsibilities
- Design realistic scenarios involving application intake, binding, issuance, endorsements, certificates, billing, audits, renewals, cancellations, reinstatements, and policy-document delivery.
- Create work products such as processing instructions, transaction reviews, exception-handling plans, service communications, and operational quality checks.
- Write "golden" reference responses at experienced insurance-operations quality.
- Grade AI-generated responses against structured rubrics for procedural accuracy, completeness, sequencing, and adherence to service standards.
- Identify incorrect effective dates, missing documentation, improper transaction handling, and confusion between operational processing and substantive underwriting decisions.
- Provide written feedback the research team uses to improve model behavior.
Qualifications
Must-Have
- 2+ years of professional experience in policy administration, underwriting operations, insurance servicing, premium operations, or policy-processing management.
- Understand the chronological policy lifecycle from intake and binding through issuance, servicing, renewal, termination, and record retention.
- Hands-on experience with policy administration systems, workflow queues, transaction controls, or quality-assurance processes.
- Ability to translate policy and procedural requirements into precise operational steps.
- Excellent written communication, process discipline, and high attention to detail.
- Ability to distinguish administrative execution from underwriting, claims, legal, and actuarial decisions.
Preferred
- Experience across multiple P&C lines or insurance platforms.
- Billing, premium audit, producer licensing, or forms-management experience.
- Experience implementing or testing a policy administration system.
- Lean, Six Sigma, project-management, or operations credential.
- Experience leading service teams or establishing operational controls.
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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