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Remote Ai Coding Jobs in New Port Richey, FL (NOW HIRING)

Frontend UI/UX Developer (Remote Opportunity)

Tampa, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... code reviews, leverage AI-assisted development tools, and contribute to application quality and ... Remote Opportunity VetsEZ is an equal opportunity employer. Qualified applicants will receive ...

Frontend UI/UX Developer (Remote Opportunity)

Tampa, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... code reviews, leverage AI-assisted development tools, and contribute to application quality and ... Remote Opportunity VetsEZ is an equal opportunity employer. Qualified applicants will receive ...

Senior .NET Developer (Remote Opportunity)

Tampa, FL · On-site +1

$51.50 - $68/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leverage AI-powered development tools to improve coding efficiency, testing, debugging, and overall ... Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a ...

Senior .NET Developer (Remote Opportunity)

Tampa, FL · On-site +1

$51.50 - $68/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leverage AI-powered development tools to improve coding efficiency, testing, debugging, and overall ... Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Worth AI, a leader in the computer software industry, is looking for a talented and experienced ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Worth AI, a leader in the computer software industry, is looking for a talented and experienced ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Security Engineer

Tampa, FL · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Worth AI, we're building technology that transforms how financial decisions are made and we're ... Participate in secure code reviews and threat modeling for new features and services * Help ...

AppSec Sales Engineer - East

Tampa, FL · Remote

$55.50 - $74.25/hr

  • Medical

... SDLC) from code to operation, including API and AI workflows. About You * Responsible for ... Work Location * Remote role, strong preference for Tampa area What You Will Have At Harness

Guidewire Developer-ClaimCenter

Tampa, FL · On-site +1

$51.50 - $68/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will design and code scalable solutions, influence architecture, and provide ... AI Prompt/Agentic Engineering * Monitoring and logging via tools like AppDynamics and Splunk

Senior Software Engineer

Tampa, FL · On-site +1

$115K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position anywhere in the USA. Meet the Team Our software engineering team develops ... We use secure coding practices, protect user privacy, and follow software development best ...

New

.NET API Developer

Lutz, FL · Remote

$115K/yr

Remote Lap of Love is a national practice dedicated exclusively to in-home end-of-life care for ... code with minimal direct supervision. In addition, Lap of Love is embracing AI tools. The ideal ...

Showing results 21-40

Remote Ai Coding information

See New Port Richey, FL salary details

$15

$19

$21

How much do remote ai coding jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote ai coding in New Port Richey, FL is $19.15, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.34 per hour, depending on experience, location, and employer.

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?

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 popular job titles related to Remote Ai Coding jobs in New Port Richey, FL?

For Remote Ai Coding jobs in New Port Richey, FL, the most frequently searched job titles are:

What cities near New Port Richey, FL are hiring for Remote Ai Coding jobs?

Cities near New Port Richey, FL with the most Remote Ai Coding job openings:

Principal Engineer (Fully REMOTE)

Waypoint Human Capital

Tampa, FL • On-site, Remote

Full-time

Posted 20 days ago


Job description

Position Title: Principal Engineer
Position Type: Full-time, Remote
Location: Tampa, FL (Preferred)
Clearance: (At Minimum) Secret
Travel: Approximately 10%
Waypoint's client is seeking a Principal Engineer to support U.S. Central Command (CENTCOM) initiatives focused on cybersecurity, platform engineering, automation, and AI-enabled capabilities. This senior-level role operates at the intersection of hands-on engineering, technical leadership, and program support, providing architectural guidance, engineering direction, and technical oversight across mission-critical environments.
The selected candidate will lead key technical efforts involving cybersecurity engineering, cloud and hybrid infrastructure, automation, data analytics, and emerging AI capabilities. This role requires a strong background in secure enterprise environments and experience supporting highly regulated federal, defense, or intelligence community programs.
Responsibilities:
Cybersecurity Engineering & Architecture
•Design and implement cybersecurity solutions across cloud, hybrid, and on-premises environments.
•Provide subject matter expertise in Zero Trust Architecture, Identity and Access Management (IAM), and system hardening.
•Support incident response, vulnerability management, and security operations activities.
•Ensure engineering solutions align with NIST 800-53, RMF, STIGs, FedRAMP principles, and contractual requirements.
Platform Engineering & Automation
•Develop and maintain automation tools and scripts supporting security operations and infrastructure management.
•Implement Infrastructure as Code (IaC) solutions and scalable platform architectures.
•Integrate security controls into CI/CD pipelines and DevSecOps workflows.
•Support cloud platform optimization and operational automation initiatives.
AI, Data Engineering & Analytics
•Develop and support data pipelines for security and operational analytics.
•Contribute to anomaly detection, reporting, and advanced analytics capabilities.
•Support integration of AI/ML-enabled features into cybersecurity and operational workflows.
•Leverage data-driven approaches to improve system performance and operational visibility.
Program Support & Technical Leadership
•Serve as a senior technical advisor supporting architecture and engineering decisions.
•Translate program requirements into actionable engineering tasks and technical solutions.
•Mentor junior engineers and provide technical leadership across project teams.
•Collaborate with program managers, stakeholders, and technical teams to drive successful delivery execution.
Operational Support & Continuous Improvement
•Analyze system performance, security metrics, and operational data to identify risks and improvement opportunities.
•Maintain technical documentation and support compliance audits and assessments.
•Identify operational inefficiencies and contribute to corrective actions and process improvements.
Required:
•U.S. Citizenship
•Bachelor's degree in Cybersecurity, Computer Science, Engineering, or related technical field (or equivalent experience)
•10+ years of experience in cybersecurity, information security, or systems engineering
•3-5 years of experience in a senior, lead, principal, or technical leadership role
•Strong experience securing enterprise systems in DoD, Federal Civilian, or Intelligence Community environments
•Experience implementing and supporting NIST 800-53, RMF, STIGs, FedRAMP controls, and compliance frameworks
•Experience supporting Authority to Operate (ATO), system accreditation, and audit activities
•Experience with Identity and Access Management (IAM), Zero Trust Architecture, and enterprise security controls
•Experience with cloud security architectures and cloud-native security services
•Experience supporting automation, Infrastructure as Code (IaC), and DevSecOps initiatives
•Familiarity with FAR/DFARS requirements and Controlled Unclassified Information (CUI) handling requirements
•AWS Security Specialty, Azure SC-100, or equivalent cloud security certification
•One or more of the following certifications: CISSP, CISM, GCIH, OSCP, GIAC, or equivalent
Desired:
•Master's degree in Cybersecurity, Computer Science, Engineering, or related field
•Experience supporting DoD, DHS, Intelligence Community (IC), Special Operations Forces (SOF), or Combatant Command programs
•Experience with DevSecOps pipelines, CI/CD automation, and Infrastructure as Code technologies
•Experience supporting continuous monitoring and audit readiness programs within RMF environments
•Experience with AI/ML integration, security analytics, and data engineering initiatives
•Familiarity with Virtual Desktop Infrastructure (VDI) environments
•Experience coordinating technical efforts across multiple programs and organizations
•Experience supporting cloud platforms such as AWS and Azure in highly regulated environments
•Experience influencing enterprise architecture decisions and technical modernization efforts within large-scale federal programs