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Remote Masters Computer Science Jobs in Arizona (NOW HIRING)

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 ...

Danaher

IT Project Manager - Remote

Phoenix, AZ · On-site +1

$120K - $160K/yr

Bachelor's degree in computer science or related field or equivalent experience * Proven track ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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 ...

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Remote Masters Computer Science information

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

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

Can I work remotely with a computer science degree?

Remote Masters Computer Science roles are common in the tech industry, allowing professionals to work from anywhere with a reliable internet connection. These jobs often require skills in programming, software development, or data analysis, and may involve collaboration tools like Git or Slack. Many employers offer flexible schedules and remote work options for qualified candidates.

What jobs pay 4000 a week without a degree?

Remote Masters Computer Science professionals can potentially earn $4,000 a week through high-demand roles such as freelance software developers, cybersecurity consultants, or data engineers, especially with specialized skills in programming, cloud computing, or machine learning. These roles often require strong technical expertise, experience, and sometimes certifications, and may involve project-based or contract work that offers high earning potential without a formal degree.

What jobs can you do with a masters in computer science?

A master's in computer science qualifies individuals for roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and machine learning engineer. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

How can I make $100,000 a year working from home?

Remote Masters in Computer Science can achieve a $100,000 annual income by gaining specialized skills in software development, data science, or cybersecurity, and obtaining relevant certifications. Building a strong portfolio, freelancing, or working for established companies with remote roles can also help reach this income level, especially with experience and advanced technical expertise.

What are some common challenges faced by students in a remote Master's in Computer Science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What is a Remote Masters in Computer Science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.
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Remote Masters Computer Science jobs near you
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Tucson, AZ • Remote

$50 - $90/hr

Part-time

Posted 12 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.

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