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Remote Co Op Computer Science Jobs in Ohio (NOW HIRING)

Statheros

Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Cerence Inc.

D. preferred) in computer science, electrical engineering, or a related field.* Exceptional ... Remote - Germanytime type: Full timeposted on: Posted 22 Days Agotime left to apply: End Date:

Binary Defense

INTERNSHIP - Threat Hunter - REMOTE

Stow, OH · Remote

$13.75 - $18.25/hr

Currently pursuing a bachelor's degree or master's degree in Cybersecurity, Computer Science, or ... remote friendly work environment, as well as training opportunities to expand your skill set (to ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Berkley

Underwriting Specialist

Cincinnati, OH · Remote

... co-op, rental properties and fine dining restaurants. We are a team of seasoned underwriting and ... all times #LI-Remote Education * Bachelor's Degree or equivalent job-related experience ...

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Remote Co Op Computer Science information

How do Remote Co-Op Computer Science roles typically facilitate mentorship and team collaboration despite the virtual setting?

Remote Co-Op Computer Science positions often leverage various collaboration tools such as Slack, Microsoft Teams, and Zoom to foster communication and mentorship. You'll participate in regular virtual stand-ups, code reviews, and project meetings, ensuring you stay connected with your team and receive guidance from senior engineers. Many companies assign a dedicated mentor or buddy to help you navigate both technical challenges and company culture. This structure allows you to build relationships, gain feedback, and make meaningful contributions without being onsite.

What is a Remote Co-Op in Computer Science?

A Remote Co-Op in Computer Science is a paid or unpaid work placement that allows students to gain real-world experience in their field while working from a location outside the traditional office, such as their home. These positions are typically part of a college or university's cooperative education program, blending academic learning with practical work experience. Students work on software development, data analysis, or IT projects under the supervision of professionals, helping them build technical skills and professional networks. Remote Co-Ops offer flexibility and can connect students with companies outside their local area, broadening their career opportunities.

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

To thrive as a Remote Co-Op Computer Science student, you need a solid grasp of programming fundamentals, data structures, algorithms, and typically be pursuing or have completed coursework toward a computer science degree. Familiarity with version control systems like Git, collaborative platforms such as GitHub or Jira, and exposure to coding languages like Python, Java, or C++ are commonly expected. Strong communication, self-motivation, and time management are essential soft skills for remote teamwork and independent learning. These skills ensure you can effectively contribute to projects, adapt to remote workflows, and maximize your experiential learning.

What is the difference between Remote Co Op Computer Science vs Remote Software Intern?

AspectRemote Co Op Computer ScienceRemote Software Intern
CredentialsTypically enrolled in a computer science program, may require coursework or enrollment verificationUsually students pursuing a degree in computer science or related field, may need proof of enrollment
Work EnvironmentRemote, collaborative team settings, often part-time during academic termsRemote, project-based tasks, often part-time or summer internships
Employer & Industry UsageUsed by tech companies, startups, and corporations for student talent pipelinesCommonly offered by tech firms, startups, and software companies for skill development

Both roles are designed for students gaining practical experience in computer science. The main difference lies in the stage of education and the program structure: Co Op positions are typically part of a formal cooperative education program, while Software Internships are often summer or short-term roles. Both provide valuable industry exposure and skill development in remote settings.

What are popular job titles related to Remote Co Op Computer Science jobs in Ohio? For Remote Co Op Computer Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Co Op Computer Science jobs in Ohio look for? The top searched job categories for Remote Co Op Computer Science jobs in Ohio are:
What cities in Ohio are hiring for Remote Co Op Computer Science jobs? Cities in Ohio with the most Remote Co Op Computer Science job openings:
Remote Co Op Computer Science jobs near you
Infographic showing various Remote Co Op Computer Science job openings in Ohio as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Columbus, OH • 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.

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