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Remote Computer Science Volunteer Jobs in Arizona

Agile Defense

Data Scientist - A365

Fort Huachuca, AZ · On-site +1

$85K - $95K/yr

Remote Clearance Level: Secret, Must Have Clearance to Start Required Certification(s): One of the ... Education and Background Bachelor's in computer science, Cybersecurity, Data Science, Information ...

Agile Defense

$85K - $95K/yr

Remote Clearance Level: Secret, Must Have Clearance to Start Required Certification(s): One of the ... Education and Background Bachelor's in computer science, Cybersecurity, Data Science, Information ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

Overview This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to ... Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ...

Transact Campus

Senior Software Engineer

Scottsdale, AZ · Remote

$158K - $170K/yr

Position is fully remote reporting to office in Scottsdale, AZ. Job Requirements: Must have a Bachelor's degree in Computer Science or related field of study and 5 years of experience in software ...

USAA

Software Engineer I

Phoenix, AZ · On-site +1

Will accept a Bachelor's degree in Computer Science, Computer Software, Computer Engineering ... volunteer hours, and various wellness programs. Additionally, our career path planning and ...

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Remote Computer Science Volunteer information

What is the difference between Remote Computer Science Volunteer vs Remote Software Developer?

AspectRemote Computer Science VolunteerRemote Software Developer
Required credentialsOften no formal certifications; focus on skills and passionTypically requires a degree or certifications in software development
Work environmentNon-profit projects, open-source, or educational initiativesCommercial or client-based projects, startups, or established companies
Employer and industry usageNon-profit organizations, open-source communities, educational programsTech companies, startups, corporate clients
Common search and comparison intentUnderstanding volunteer opportunities in CSFinding remote software development jobs

Remote Computer Science Volunteers typically work on non-profit or open-source projects without formal certifications, focusing on community impact. In contrast, remote software developers usually work on commercial projects requiring specific technical credentials. Both roles involve remote work but differ in purpose, environment, and employer type.

How do Remote Computer Science Volunteers typically collaborate with team members and project stakeholders?

As a Remote Computer Science Volunteer, you’ll often work with a distributed team using online collaboration tools such as Slack, GitHub, and project management platforms like Trello or Asana. Communication is key, as you’ll need to coordinate with fellow volunteers, project managers, and sometimes end users to clarify requirements, share progress, and review code. Regular virtual meetings and asynchronous updates help maintain project momentum. This collaborative environment not only enhances teamwork but also exposes you to a variety of work styles and technical challenges.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Volunteer, and why are they important?

To thrive as a Remote Computer Science Volunteer, you need a solid understanding of programming languages, algorithms, and software development principles, often supported by formal education or relevant coursework. Familiarity with collaboration tools like GitHub, project management platforms, and virtual meeting software is typically required. Strong communication, self-motivation, and teamwork skills help volunteers effectively contribute and coordinate with diverse, remote teams. These skills and qualities are important for delivering impactful technical solutions and maintaining productivity in a virtual environment.

What are remote computer science volunteers?

Remote computer science volunteers are individuals who offer their technical skills and knowledge in computer science to assist organizations, nonprofits, or educational programs from a distance, typically via the internet. They may contribute to projects such as coding, software development, website maintenance, technical support, or teaching programming skills. Volunteering remotely allows these individuals to support causes they care about without needing to be physically present, making it accessible for people from different locations. This role often requires strong communication, self-motivation, and a willingness to collaborate online.
What are the most commonly searched types of Computer Science Volunteer jobs in Arizona? The most popular types of Computer Science Volunteer jobs in Arizona are:
What are popular job titles related to Remote Computer Science Volunteer jobs in Arizona? For Remote Computer Science Volunteer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Volunteer jobs in Arizona look for? The top searched job categories for Remote Computer Science Volunteer jobs in Arizona are:
What cities in Arizona are hiring for Remote Computer Science Volunteer jobs? Cities in Arizona with the most Remote Computer Science Volunteer job openings:
Remote Computer Science Volunteer jobs near you
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Mesa, AZ • Remote

$50 - $90/hr

Part-time

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.

Apply