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Remote Ai Coding Jobs in Ohio (NOW HIRING)

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We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to ... Document workflows, methodologies, and code for reproducibility and knowledge sharing.

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Remote Ai Coding information

What is remote AI coding?

Remote AI coding refers to the practice of developing and deploying artificial intelligence models and applications from a remote location, rather than working onsite at a company’s office. Remote AI coders use programming languages like Python, machine learning frameworks, and cloud platforms to create solutions such as chatbots, recommendation systems, and data analysis tools. This role allows professionals to collaborate with teams and clients across the globe using online communication and version control tools. Remote AI coding offers flexibility, access to a wider range of job opportunities, and the ability to work from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a Remote AI Coding professional, and why are they important?

To thrive as a Remote AI Coding professional, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Git, and cloud platforms (e.g., AWS, Google Cloud) is typically required, along with certifications in AI or data science as a plus. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for collaborating remotely and managing independent tasks. These competencies enable efficient project delivery, innovation, and effective teamwork in a distributed work environment.

What is the difference between Remote Ai Coding vs Data Scientist?

AspectRemote Ai CodingData Scientist
Required CredentialsProgramming skills, AI/ML knowledge, sometimes certificationsStatistics, programming, often advanced degrees
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries
Industry UsageTech, AI startups, software firmsFinance, healthcare, tech, research
Common Search/ComparisonYesNo

Remote Ai Coding involves developing AI algorithms and models primarily through programming, often in a remote setting within tech-focused companies. Data Scientists analyze data to extract insights, requiring statistical expertise and often working across various industries. While both roles may work remotely, Remote Ai Coding is more specialized in AI development, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges faced by remote AI coding professionals, and how can they be overcome?

Remote AI coding professionals often encounter challenges such as collaborating across time zones, maintaining clear communication with team members, and managing complex projects without in-person oversight. To overcome these, it's important to establish regular check-ins using collaboration tools like Slack or Zoom, document code and project updates thoroughly, and leverage version control systems such as Git. Proactively communicating progress and blockers helps ensure alignment and smooth teamwork, even when working remotely.
What are the most commonly searched types of Ai Coding jobs in Ohio? The most popular types of Ai Coding jobs in Ohio are:
What are popular job titles related to Remote Ai Coding jobs in Ohio? For Remote Ai Coding jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Ai Coding jobs in Ohio look for? The top searched job categories for Remote Ai Coding jobs in Ohio are:
What cities in Ohio are hiring for Remote Ai Coding jobs? Cities in Ohio with the most Remote Ai Coding job openings:
Remote Ai Coding jobs near you
Application Security Engineer, AI & Automation

Application Security Engineer, AI & Automation

Aquent

Canton, OH • On-site, Remote

$90 - $92/hr

Temporary

Posted 28 days ago

Job description

Placement Type:
Temporary
Salary:
$90-92 Hourly
$92 / hourly as W2
Start Date:
Aug 3, 2026
Application Security Engineer, AI & Automation
Remote
$92 / hourly as W2
About the Role
About the Role
Are you an Application Security engineer who loves to build and automate? Our established Financial client is looking for a Senior AppSec Engineer to help us redefine how we defend our software ecosystem. In this role, you won't just juggle SCA, SAST, and DAST alerts-you will engineer the AI-driven automation that triages them. You will sit at the intersection of traditional AppSec, Software Supply Chain Security, and Frontier AI, helping us evaluate, implement, and secure AI-assisted developer tooling.
If you want to move past manual spreadsheet tracking and instead build cutting-edge, LLM-powered security workflows, we want to talk to you.
What You'll Do (Responsibilities)
  • AI & Automation Engineering: Test, implement, and optimize application security tooling that leverages frontier LLMs for vulnerability identification, code reasoning, triage acceleration, and automated remediation.
  • Modern Triage & Incident Response: Provide unified triage coverage across SCA, SAST, and DAST findings. Lead the rapid assessment and routing of threat intelligence escalations and critical patch events (PatchNow).
  • Software Supply Chain Defense: Strengthen open-source dependency selection, package intake, and SBOM visibility. Build guardrails to detect malicious packages and enforce security policies across developer pipelines.
  • Secure Developer Workflows: Assess and secure developer environments, including IDEs, plugins/extensions, package managers, and AI coding assistants against malicious code and unsafe configurations.
  • AI Governance Support: Help execute technical proofs-of-value, data handling reviews, and model output evaluations required to safely onboard new AI capabilities across the enterprise.
What You Bring (Qualifications)
  • Experience: 3+ years of hands-on experience in Application Security, with deep familiarity across the vulnerability lifecycle (SCA, SAST, DAST, and manual verification).
  • Automation Mindset: Strong engineering fundamentals with scripting languages (e.g., Python, Go), APIs, CI/CD pipelines (e.g., GitHub Actions, GitLab CI), and developer tool integrations.
  • AI Curiosity: Practical familiarity or hands-on experimentation with frontier models (LLMs), AI coding assistants (e.g., Copilot), prompt engineering, or AI orchestration frameworks.
  • Supply Chain Knowledge: Experience securing software supply chains, package managers, and third-party dependencies against modern attack vectors.
  • Communication: Ability to translate complex cryptographic or technical vulnerabilities into clear, actionable remediation guidance for software engineering teams.
Bonus Points For:
  • Contributions to open-source security tools or AI/LLM security projects (e.g., OWASP Top 10 for LLMs).
  • Experience building custom integrations or LLM agents to automate security analyst workflows.

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