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Remote Python Ai Jobs in Kannapolis, NC (NOW HIRING)

Quora

AI Automation Engineer -Remote

Charlotte, NC · On-site +1

$202K - $234K/yr

... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

NSS

Machine Learning Engineer

Concord, NC · Remote

... AI/ML solutions and data pipelines. Things we really need * Proficiency in Python and .NET (C# ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

NSS

Machine Learning Engineer

Concord, NC · Remote

... AI/ML solutions and data pipelines. Things we really need * Proficiency in Python and .NET (C# ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

Strategic Staffing Solutions

Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

Charlotte, NC (Hybrid/Remote) Work Setting: Preference for Hybrid but open to fully remote but they ... Design, develop, and maintain Python-based services, Lambda functions, and data pipelines.

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Remote Python Ai information

See Kannapolis, NC salary details

$13

$57

$84

How much do remote python ai jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for remote python ai in Kannapolis, NC is $57.70, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $65.53 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 are popular job titles related to Remote Python Ai jobs in Kannapolis, NC? For Remote Python Ai jobs in Kannapolis, NC, the most frequently searched job titles are:
What job categories do people searching Remote Python Ai jobs in Kannapolis, NC look for? The top searched job categories for Remote Python Ai jobs in Kannapolis, NC are:
What cities near Kannapolis, NC are hiring for Remote Python Ai jobs? Cities near Kannapolis, NC with the most Remote Python Ai job openings:
Remote Python Ai jobs near you
Infographic showing various Remote Python Ai job openings in Kannapolis, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $120,012 per year, or $57.7 per hour.
Python/GenAI Solutions Architect (USA, Remote)

Python/GenAI Solutions Architect (USA, Remote)

Provectus

Concord, NC • Remote

Full-time

Posted 11 days ago

Job description

What You’ll Do:
  • Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs.
  • Implement and optimize RAG systems for production use cases.
  • Design and build LLM-based and agentic AI solutions that address real client business challenges.
  • Own the technical direction of client engagements from discovery through delivery.
  • Support presales: discovery calls, technical proposals, scoping, and client-facing demos.
  • Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice.
  • Mentor engineers, lead code reviews, and share knowledge across the team.
  • Build and maintain strong relationships with key client stakeholders as a trusted technical advisor.
What You’ll Bring:
Mindset
  • Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure.
  • Already using AI tools in your daily workflow (Claude Code, Copilot, or similar).
  • Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you.
  • B2+ English, comfortable collaborating across distributed, multicultural teams.
Presales & Client Engagement
  • Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget.
  • Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks.
  • Experience with cost estimation and cloud architecture cost optimization.
Python, AI & Cloud
  • 7+ years building and running production systems, not only demos and POCs.
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
  • Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization.
  • Experience building RESTful APIs with FastAPI, Django REST, or Flask.
  • Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL.
  • Strong testing practices: pytest, mocking, and integration tests for AI systems.
  • Experience with Docker and Kubernetes.
  • Hands-on experience building production LLM-based applications and agentic workflows.
  • Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock).
  • Experience building and optimizing RAG systems.
  • Understanding of LLM evaluation techniques and quality assurance approaches.
  • Experience deploying and maintaining AI/ML models in production environments.
  • Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered.
  • Experience with React/Vue.
  • AWS and Claude Code Certifications.

Nice to Have

  • Experience with Streamlit or Gradio for AI prototyping.
  • Modern Python tooling (ruff, uv, pyproject.toml, pyright).
  • CI/CD pipeline experience (GitHub Actions, GitLab CI).
  • Experience in an additional language (Go, Node.js, or Rust).
  • Front-end experience.
What We Offer:
  • Opportunity to work with cutting-edge AI and cloud solutions.
  • Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications.
  • Career growth: a clear path toward SA or beyond  — we actively develop our engineers.
  • Access to the latest AI tools and premium subscriptions.
  • Remote with flexible hours.
  • Unlimited Vacation policy.
  • Generous health, vision, and dental insurance.
  • 401(K) matching plan.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.