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Remote Java Sdet Jobs in Avant, OK (NOW HIRING)

Professional Engineer License * 4+ years progressive experience in design, engineering and project ... Demonstrated ability with project management software and tools (Microsoft Project or similar) for ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or ...

Showing results 21-40

Remote Java Sdet information

See Avant, OK salary details

$9

$47

$71

How much do remote java sdet jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote java sdet in Avant, OK is $47.57, according to ZipRecruiter salary data. Most workers in this role earn between $43.46 and $56.15 per hour, depending on experience, location, and employer.

What is a remote Java SDET?

A Remote Java SDET (Software Development Engineer in Test) is a software professional who specializes in creating automated tests and ensuring the quality of applications developed in Java, while working remotely. They design, develop, and maintain automated test scripts, often collaborating with developers and QA teams to identify issues and improve software reliability. SDETs typically have strong programming skills in Java, experience with testing frameworks, and knowledge of test automation tools. Their goal is to streamline testing processes and help deliver high-quality software products.

How do remote Java SDETs typically collaborate with development and QA teams despite working from different locations?

Remote Java SDETs commonly use collaboration tools such as Slack, Jira, and GitHub to communicate and coordinate with both development and quality assurance teams. They participate in virtual stand-ups, code reviews, and sprint planning meetings to stay aligned on project goals and testing priorities. Regular communication and clear documentation are essential, as is proactively sharing test results and raising potential issues early. This remote structure encourages independence but also requires strong teamwork and self-management skills.

What is the difference between Remote Java Sdet vs Remote Java Developer?

AspectRemote Java SdetRemote Java Developer
Primary RoleSoftware testing and automationApplication development and coding
Skills RequiredTest automation, scripting, QA toolsJava programming, software design
CertificationsISTQB, automation tools certificationsJava certifications, coding credentials
Work EnvironmentTesting teams, QA departmentsDevelopment teams, software projects

Remote Java Sdet focuses on testing and automation, ensuring software quality, while Remote Java Developer is centered on building and coding applications. Both roles often require Java skills, but their daily tasks and objectives differ significantly.

What are the key skills and qualifications needed to thrive as a remote Java SDET?

To thrive as a Remote Java SDET, you need strong programming skills in Java, solid understanding of software testing principles, and typically a degree in computer science or related field. Experience with automated testing frameworks (like Selenium or TestNG), CI/CD tools, and version control systems such as Git is usually required. Exceptional analytical thinking, problem-solving, and clear communication are crucial soft skills for collaborating with distributed teams and troubleshooting remotely. These abilities ensure the delivery of robust, high-quality software through effective automation and seamless teamwork in a remote work environment.
Infographic showing various Remote Java Sdet job openings in Avant, OK as of August 2026, with employment types broken down into 3% Internship, 80% Full Time, 3% Part Time, and 14% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $98,951 per year, or $47.6 per hour.

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Tulsa, OK • Remote

$50 - $90/hr

Part-time

Re-posted 13 days ago


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.