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Remote Python Ai Jobs in North Canton, OH (NOW HIRING)

Aug 3, 2026 Vulnerability Management Engineer Remote $92 / hourly as W2 About the Role Join our ... Ability to write scripts or utilize APIs (Python, PowerShell, SQL, or Power Query) to automate ...

Remote Python Ai information

See North Canton, OH salary details

$11

$52

$76

How much do remote python ai jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for remote python ai in North Canton, OH is $52.19, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $59.28 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

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

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What cities near North Canton, OH are hiring for Remote Python Ai jobs? Cities near North Canton, OH with the most Remote Python Ai job openings:
Application Security Engineer, AI & Automation

Application Security Engineer, AI & Automation

Aquent

Canton, OH • On-site, Remote

$90 - $92/hr

Temporary

Posted 29 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.