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Remote Manual Testing Insurance Domain Jobs in Texas

Analyze business requirements, user stories, and acceptance criteria to create and execute manual ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Analyze business requirements, user stories, and acceptance criteria to create and execute manual ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Analyze business requirements, user stories, and acceptance criteria to create and execute manual ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... Remote-VA, Richardson, Texas Details Kemper is one of the nation's leading specialized insurers ... Unit testing and integration testing * Version control systems (e.g. Git) * RESTful APIs and ...

DevOps Engineer - REMOTE

San Antonio, TX · Remote

$120K - $130K/yr

... testing, and production environments * Support CI/CD architectures across multi-tenancy cloud ... Author and maintain heavy documentation for the infrastructure/integration manual * Provide Linux ...

DevOps Engineer - REMOTE

San Antonio, TX · On-site +1

$120K - $130K/yr

... testing, and production environments * Support CI/CD architectures across multi-tenancy cloud ... Author and maintain heavy documentation for the infrastructure/integration manual * Provide Linux ...

Remote M365 Engineer

West Lake Hills, TX · On-site +1

$55 - $60/hr

You are eligible for medical, dental, vision insurance benefits, 401K, and monetary bonuses Top ... Email Domain MX records on their own. 4) Ability to interact with customers. Why choose Addison ...

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Remote Manual Testing Insurance Domain information

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.

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AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Arlington, TX • Remote

$50 - $90/hr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.