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Admin • laredo tx

Last updated: 7 days ago

Remote Policy Administration & Compliance Expert - AI Trainer ($55-$75 per hour)

MercorLaredo, Texas, US
Remote
Part-time

What you'll do** Mercor is partnering with leading AI labs to advance frontier agent evaluations in insurance policy administration and compliance.As a Policy Administration & Compliance Expert, yo...Show more

Logistics Specialist

SchupanLaredo, TX, United States
Full-time

Fully Remote Remote - Laredo, TX 78040.Reports to: Director of Logistics.Position Type and Expected Work Hours.Core Hours: Monday - Friday 8am - 5pm.Fully Remote; up to 15% travel required.Applicat...Show more

Remote Market Research Participants. No Experience (Ideal For Admin Virtual Assistant)

Apex Focus Group LLCLaredo, Texas, United States
Remote
Full-time

We're currently looking for individuals across the country to take part in remote paid market research, including online focus groups, product trials, and consumer studies.Earn up to $750 a week in...Show more

Remote RevOps / SalesOps Expert - AI Trainer ($70-$95 per hour)

MercorLaredo, Texas, US
Remote
Part-time

What you'll do** Mercor is partnering with leading AI labs to advance frontier agent evaluations in revenue operations.As a RevOps Expert, you'll build long-horizon ops tasks that mirror the work y...Show more

Remote Research Operations & Administration Expert - AI Trainer ($45-$65 per hour)

MercorLaredo, Texas, US
Remote
Full-time

Role Overview** Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in.We're ...Show more

Earn up to $25 per survey Online Survey Taker

Earn HausTanquecitos South Acres II, Texas, United States
Full-time +1

We are urgently looking for people interested in taking online surveys for Fortune 500 brands.If you are a self-starter, looking for flexible hours throughout the week, this may be for you! Earn up...Show more

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Remote Policy Administration & Compliance Expert - AI Trainer ($55-$75 per hour)

Remote Policy Administration & Compliance Expert - AI Trainer ($55-$75 per hour)

MercorLaredo, Texas, US
7 days ago
Job type
  • Part-time
  • Remote
Job description
  • What you'll do

Mercor is partnering with leading AI labs to advance frontier agent evaluations in insurance policy administration and compliance. As a Policy Administration & Compliance Expert, you'll build long-horizon admin and compliance tasks that mirror the work you already do, each paired with a deterministic rubric that grades agent performance against verifiable ground truth. Tasks need to have checkable answers; no open-ended essays, no subjective judgment calls. Expect to build scenarios across : - Policy lifecycle : endorsements with required fields and correct premium impact, renewals against renewal guidelines, cancellations with state-required notice periods, premium audits tied to source exposure data - Certificates and documents : COI issuance against contract requirements, policy form and wording review against a defined issue list - Regulatory : state DOI filings with required exhibits, market conduct exam responses with ground-truth documented answers These scenarios will be challenging and take long sessions of focus. Who we're looking for - 3+ years in policy administration, insurance operations, or insurance compliance at a carrier, MGA, or broker - Expertise in one or more of the following : endorsement and renewal processing, premium audit practice, COI issuance and tracking, state DOI filings and market conduct, policy form and wording review, a policy admin platform (Guidewire PolicyCenter, Duck Creek, AMS360, EPIC, carrier systems) - Comfortable reading and producing policy admin artifacts : endorsements, renewal packages, COIs, DOI filings, audit workpapers - Clear written communication; can articulate reasoning step by step and encode it into deterministic rubrics - AINS, CPCU, or equivalent a plus - Located in the United States Compensation $55–$75 / hr depending on domain depth and prior experience. Strong contributors are promoted based on task quality and throughput.