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Remote Quality Assurance Engineer

Remote / Online - Candidates ideally in
Fremont, Alameda County, California, 94536, USA
Listing for: Worky
Remote/Work from Home position
Listed on 2026-08-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), AI QA / Validation Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Who We Are - Motivated by Purpose. Powered by Clinical Expertise.

Founded in 1983, we’re a clinically-driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.

Excellence starts with our people.

WE OFFER

  • A competitive compensation package
  • Benefits include healthcare, vision, and dental insurance
  • A generous 401(k) match
  • Paid vacation, PTO, and holidays
  • Growth and training opportunities
  • An award-winning remote work environment

POSITION OVERVIEW

Quality Assurance Engineer is a corporate function within the Engineering organization responsible for the quality, reliability, and release-readiness of software products built on modern technologies, including cloud-native applications hosted on Microsoft Azure and AI/ML-enabled features.

Roles:

  • Primary role is testing software applications created or updated by the Application Development team.
  • Conduct structured peer and code reviews of test artifacts to ensure adherence to standards and best practices.
  • Design, create, and maintain realistic and compliant test data sets, including synthetic data for healthcare (PHI-safe) scenarios.
  • Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation.

Major Responsibilities or Assigned Duties:

  • Participate in the test management lifecycle, including test planning, execution tracking, defect management and reporting.
  • Provide input on release readiness criteria to Engineering and Product stakeholders.
  • Maintain the regression suite after every release.
  • Develop and maintain automated test suites in Python (e.g., pytest) and JavaScript/Node.js, integrated into CI/CD pipelines.
  • Write and review complex SQL queries, joins, and aggregations to validate data accuracy, completeness, and reconciliation across systems.
  • Validate data flows across source systems, transformation layers, and reporting/consumption layers.
  • Ensure test data supports both functional automation and AI/ML / RAG evaluation needs.
  • Design and execute test strategies for AI/ML and Retrieval-Augmented Generation (RAG) pipelines and AI-assisted features, including retrieval accuracy, grounding, hallucination, output quality, bias/safety, and drift (regression) checks.
  • Build and maintain automated evaluation harnesses and datasets for AI/ML features, including prompt/response scoring and metric tracking.
  • Validate applications, APIs, and test environments deployed on on-prem data center, Microsoft Azure, including Azure-hosted services, data stores, and CI/CD pipelines.
  • Read and interpret React / Node.js / Python / Cold Fusion source code, pull requests, and technical designs to identify testable conditions, edge cases, and regression risk.
  • Write detailed test cases and test plans that trace directly to code paths, business rules, and acceptance criteria.
  • Partner with developers during code review to flag insufficient test coverage, untested branches, and high-risk changes before merge.
  • Perform post-deployment validation to confirm application, API, and AI feature stability in production.
  • Investigate production defects and data issues, perform root cause analysis, and drive resolution with Engineering.
Requirements

Skills and Experience:

  • 5+ years of experience in automated software testing
  • 5+ years of experience in manual software testing
  • 5+ years of experience in component-level testing
  • 5+ years of experience in end-to-end testing
  • At least 5 years of experience in SQL
  • At least 3 years of experience in React
  • At least 3 years of experience in Node.js
  • At least 3 years of experience with Python source code in Git Lab
  • At least 2 years of experience testing AI/ML
  • At least 2 years of experience evaluating AI/ML
  • At least 2 years of experience testing Retrieval-Augmented Generation (RAG)
  • At least 2 years of experience testing generative AI features
  • At least 2 years of experience testing workloads on Microsoft Azure

Education:

  • High School Diploma required
  • Bachelor’s degree (Advantage)
Work Environment:

Ability to sit at a desk,utilize a computer, telephone, and other basic office equipment is required. This role is…

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