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Remote Computer Science Fresh Graduate 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 ...

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 ...

Deloitte

Manager - ServiceNow

Tempe, AZ · On-site +1

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

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Remote Computer Science Fresh Graduate information

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

To thrive as a Remote Computer Science Fresh Graduate, you need a solid foundation in programming languages, algorithms, and software development principles, typically supported by a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Jira, and cloud platforms is highly valued. Strong problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote work success. These skills and qualities are essential to deliver high-quality work independently, collaborate efficiently with distributed teams, and adapt quickly to new challenges in a remote environment.

What are remote computer science fresh graduates?

Remote computer science fresh graduates are individuals who have recently completed a degree in computer science and are seeking or starting entry-level positions that allow them to work from home or any location outside a traditional office. These roles typically involve tasks such as software development, web development, or IT support, and require strong technical skills gained through academic coursework or internships. Remote positions offer flexibility and the opportunity to work for companies worldwide, but may also require strong self-motivation and communication skills to collaborate effectively with distributed teams.

What are some common challenges Remote Computer Science Fresh Graduates face during their first year, and how can they overcome them?

Remote Computer Science Fresh Graduates often encounter challenges like adapting to distributed team communication, managing time effectively without in-person supervision, and bridging the gap between academic knowledge and practical coding tasks. To overcome these, it's helpful to proactively seek feedback, participate in virtual team meetings, and utilize collaboration tools like Slack or GitHub. Building a strong routine, asking questions early, and leveraging mentorship opportunities can also make the transition smoother and support your long-term growth.
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Remote Computer Science Fresh Graduate 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 11 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