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Remote Python Ai Jobs in Jonesboro, GA (NOW HIRING)

Data Platform Engineer

Atlanta, GA ยท Remote

$117K - $140K/yr

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

Atlanta, GA ยท On-site +1

$110K - $132K/yr

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 ...

At Worth AI, we're building technology that transforms how financial decisions are made and we're ... Scripting experience (Python or bash) for automation and tooling * Exposure to compliance ...

Senior IT Support Technician

Atlanta, GA ยท On-site +1

$50K - $75K/yr

... AI tools to improve efficiency and problem solving. * Ability to thrive in a remote work ... Scripting or automation experience using PowerShell, Bash, Python, Google Apps Script, or Power ...

New

This role is remote with the expectation that candidates are based near one of the following Voya ... Familiarity withAI Security Posture Management (AI-SPM)andMLOpssecurityis a strong plus as Voya ...

Site Reliability Engineer

Atlanta, GA ยท On-site +1

$54.75 - $72.75/hr

Globally remote role The role We deploy and run OpenStack, Kubernetes, storage solutions, and open ... Python software development experience * Operational experience in Linux environments * Experience ...

Showing results 41-60

Remote Python Ai information

See Jonesboro, GA salary details

$12

$54

$80

How much do remote python ai jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote python ai in Jonesboro, GA is $54.81, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $62.26 per hour, depending on experience, location, and employer.

What remote jobs can you get with Remote Python Ai?

Remote Python AI skills can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI research scientist. These positions often involve developing AI models, working with Python libraries like TensorFlow or PyTorch, and can be performed on flexible schedules from anywhere with internet access.

What skills and qualifications are needed to thrive as a remote Python AI developer?

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 is a remote Python AI job?

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 Jonesboro, GA are hiring for Remote Python Ai jobs? Cities near Jonesboro, GA with the most Remote Python Ai job openings:

Senior DevOps Engineer, Infrastructure & Reliability

Worth AI

Atlanta, GA โ€ข Remote

$133K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Worth AI, a leader in the computer software industry, is looking for a Senior DevOps Engineer to join our Infrastructure team with a singular mission: to make our systems faster, more reliable, and more resilient while making life dramatically easier for engineers shipping software.

This is a hands-on build role. You will spend most of your time writing Terraform, tuning Kubernetes workloads, automating things that are currently manual, and shipping infrastructure changes to production. You'll join a small platform team with an established roadmap and existing patterns, and a strong voice in how the work gets built.

  • Implement scalable Infrastructure-as-Code patterns using tools like Terraform to standardize cloud provisioning and reduce configuration drift.
  • Own and evolve our Kubernetes platform (EKS or self-managed), ensuring workloads are secure, scalable, and resilient by default.
  • Optimize CI/CD pipelines to improve deployment frequency, reduce lead time, and increase confidence in releases.
  • Design and enforce secure networking, IAM, and secrets management strategies across environments.
  • Improve observability by refining metrics, logs, and tracing using tools like DataDog, ensuring actionable insight into system health.
  • Optimize cloud cost efficiency through rightsizing, autoscaling strategies, and architectural improvements.
  • Implement disaster recovery planning, backup strategies, and multi-region resilience initiatives.
  • Refactor brittle or manually managed infrastructure into automated, testable, and reproducible systems.
  • Introduce new infrastructure tooling or architectural shifts and drive adoption through documentation, workshops, and hands-on support.
  • Partner with engineering teams to eliminate friction in CI/CD, deployments, and cloud environments.
  • Communicate technical trade-offs clearly across engineering and product stakeholders, balancing speed with safety.
Technology Stack
  • Cloud & Infrastructure: AWS (EKS, RDS, MSK, S3, Lambda, IAM, VPC)
    Containerization & Orchestration: Kubernetes, ArgoCD
    Infrastructure-as-Code: Terraform
    CI/CD: GitHub Actions
    Monitoring & Observability: DataDog
    Data & Messaging: PostgreSQL, Kafka, Redis
    Languages (as needed): Bash, Python, TypeScript, JavaScript

Requirements

  • 8+ years in DevOps, SRE, or infrastructure engineering.
  • Proven experience designing and operating production Kubernetes environments at scale.
  • Deep hands-on expertise with AWS infrastructure and cloud networking.
  • Strong experience building and maintaining Terraform modules across large cloud environments.
  • Demonstrated ownership of CI/CD systems and measurable improvement of DORA metrics.
  • Experience leading incident response processes and driving meaningful postmortem outcomes.
  • Strong understanding of distributed systems, event-driven architectures (Kafka), and database performance (PostgreSQL).
  • Proven ability to modernize legacy infrastructure and eliminate manual operational toil.
  • Track record of taking a scoped infrastructure project from an ambiguous starting point to production without needing daily direction.
  • Demonstrated ability to build trust across teams while raising the reliability bar.
Success Metrics
  • System Reliability: Maintain or exceed defined SLO/SLA targets with reduced incident frequency and duration.
  • Infrastructure Stability: Reduce production incidents caused by misconfiguration, manual processes, or infrastructure drift.
  • Operational Efficiency: Increase the percentage of infrastructure managed through code and automation.
  • Cost Optimization: Improve cloud cost efficiency without sacrificing reliability or performance.
Bonus Points (Nice to Have)
  • Experience coding applications
  • Experience operating high-throughput Kafka clusters (MSK or self-managed).
  • Strong background in database performance tuning (PostgreSQL, Redis).
  • Experience implementing autoscaling strategies for high-traffic systems.
  • Familiarity with service mesh technologies.
  • Experience building internal developer platforms (IDP).
  • Background in security best practices (zero-trust networking, policy-as-code).
  • Experience with multi-region or globally distributed systems.
  • Experience introducing platform-wide reliability frameworks (SLOs, error budgets, chaos testing).

All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance
  • Flexible Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Remote
  • Hybrid work (for Orlando Associates)
  • Free Food & Snacks (Orlando)
  • Wellness Resources