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Remote Manual Testing Insurance Domain Jobs in Ridgefield Park, NJ

Rapptr Labs

QA Analyst LATAM

Manhattan, NY · Remote

This is a full-time and remote position with flexible work hours. Must be based in the Latin America and able to work on Eastern time. What you'll do * Perform manual testing on iOS and Android ...

Fora

Senior Quality Assurance Testing Engineer

New York, NY · On-site +1

$110K - $140K/yr

Quality Mindset & Domain Awareness: * Approach testing with high attention to detail, proactively ... Health Insurance (including an option completely covered by Fora HQ) * Dental & Vision Insurance

Sagility

Licensed Health Insurance Agents

New York, NY · Remote

$20/hr

... domain expertise to help clients draw closer to their members. The company optimizes the entire ... This is a seasonal, fully remote opportunity. Schedules, pay rates, program details, and assignment ...

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Showing results 21-40

All JobsManual Testing Insurance Domain JobsRemote Manual Testing Insurance Domain JobsRemote Manual Testing Insurance Domain Jobs in Ridgefield Park, NJ

Remote Manual Testing Insurance Domain information

See Ridgefield Park, NJ salary details

$11

$44

$65

How much do remote manual testing insurance domain jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote manual testing insurance domain in Ridgefield Park, NJ is $44.98, according to ZipRecruiter salary data. Most workers in this role earn between $36.11 and $52.36 per hour, depending on experience, location, and employer.

What is the difference between Remote Manual Testing Insurance Domain vs Remote Automation Testing Insurance Domain?

AspectRemote Manual Testing Insurance DomainRemote Automation Testing Insurance Domain
Required SkillsManual testing, insurance domain knowledge, attention to detailAutomation tools, scripting, insurance domain knowledge
Work EnvironmentPrimarily manual testing processes, collaboration with QA teamsDeveloping and maintaining automated test scripts, integration with CI/CD
CertificationsISTQB, insurance-specific certificationsISTQB, automation testing certifications like Selenium, UFT
Industry UsageCommon in initial testing phases, smaller projectsUsed for regression, load testing, larger projects

Remote Manual Testing Insurance Domain focuses on manual test execution within the insurance industry, requiring domain knowledge and attention to detail. Remote Automation Testing Insurance Domain involves developing automated tests, requiring scripting skills and automation tools. Both roles are vital in insurance software testing but differ in approach, tools, and scope.

Remote Manual Testing Insurance Domain jobs near you

AI Solutions Architect - Remote

Jersey City, NJ • On-site, Remote

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

$69 - $90.75/hr

Full-time

This job post has expired 4 days ago. Applications are no longer accepted.

Job description

NAVA Software solutions is looking for a AI Solutions Architect
Details:
AI Solution Architect - Insurance Domain (Azure & AWS)
Location: Remote
Duration: 12 months
Role Overview
As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions tailored for the insurance industry. You will work closely with cross-functional teams including data scientists, engineers, actuaries, and business leaders to transform business strategy into secure, scalable, and cost-effective AI architectures.
Key Responsibilities
AI Strategy & Use Case Development
  • Identify and prioritize AI/ML use cases across the insurance value chain: Underwriting, pricing, claims fraud detection, customer segmentation, policy recommendation engines, and chatbots.
  • Partner with business stakeholders (e.g., actuaries, underwriters, claims analysts) to define impactful AI-driven solutions that enhance decision-making and operational efficiency.
Architecture & Design
  • Design resilient, scalable, and cloud-agnostic AI/ML architectures using Azure and AWS.
  • Build and manage data ingestion and transformation pipelines using Azure Data Factory and AWS Glue.
  • Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow.
Technical Leadership
  • Lead design reviews, technical workshops, and blueprint sessions.
  • Mentor engineers and data scientists in best practices for model development, deployment, and cloud-native AI.
Solution Development
  • Implement NLP, computer vision, and deep learning solutions using Azure Cognitive Services, AWS Comprehend, Rekognition, and Bedrock.
  • Develop microservices/APIs (Python, FastAPI) for real-time inference and batch scoring.
  • Work with frameworks like TensorFlow, PyTorch, and Scikit-learn.
Integration with Insurance Systems
  • Ensure seamless integration with core insurance platforms: Policy Administration, Claims Management, Billing, CRM (e.g., Guidewire, Duck Creek, Salesforce).
  • Collaborate with enterprise architects to align AI with broader IT modernization initiatives.

Deployment & Operations
  • Containerize models using Docker, deploy via Kubernetes (AKS/EKS).
  • Implement CI/CD automation (Azure DevOps, AWS CodePipeline) and observability (CloudWatch, Prometheus, Azure Monitor).
Governance & Security
  • Enforce cloud security and data compliance using IAM, VNet, KMS, and encryption protocols.
  • Leverage Azure Responsible AI and AWS SageMaker Clarify for explainability, fairness, and auditability.
Stakeholder Engagement
  • Present technical architectures and value propositions to C-level executives, claims directors, and underwriting heads.
  • Serve as the bridge between business needs and AI/ML capabilities.
Required Qualifications
Experience:
  • 8-10 years in AI/ML and software/system architecture.
  • 5+ years in solution/technical leadership roles.

Education:
  • Bachelor's in Computer Science, Data Science, or Engineering.
  • Master's or PhD in AI/ML preferred.

Cloud Expertise:
  • Azure: Azure ML, Cognitive Services, Data Factory, Databricks, Cosmos DB
  • AWS: SageMaker, Comprehend, Rekognition, Glue, Redshift, DynamoDB

Tools & Frameworks:
  • Languages: Python (mandatory), Java or C++
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Big Data & Streaming: Spark, Kafka, Hadoop
  • MLOps/DevOps: Kubernetes (AKS/EKS), Docker, MLflow, Kubeflow, CI/CD pipelines
Preferred Qualifications
  • Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty
  • Advanced AI Expertise: Generative AI (Azure OpenAI, ChatGPT, AWS Bedrock), Prompt Engineering, Agentic AI
  • Community & Research: Contributions to open-source projects or AI/ML publications
  • Soft Skills: Strong communication, stakeholder management, and strategic thinking. Team leadership and mentoring
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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