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Part Time Python Ai Jobs (NOW HIRING)

Inform the candidate that they must not have any other part-time or full-time employment while ... Python development experience and ability to guide teams with reference implementations. • ...

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience building production-grade software in Python, TypeScript, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience building production-grade software in Python, TypeScript, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience building production-grade software in Python, TypeScript, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience building production-grade software in Python, TypeScript, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 2+ years of experience building production-grade software in Python, TypeScript, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... Our mission is to help develop high-quality AI technologies by combining real-world expertise from ...

Showing results 21-40

Part Time Python Ai information

See salary details

$13

$58

$86

How much do part time python ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for part time python ai in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Part Time Python Ai vs Part Time Data Analyst?

AspectPart Time Python AiPart Time Data Analyst
Required SkillsPython programming, AI/ML concepts, data manipulationData analysis, Excel, SQL, statistical skills
Work EnvironmentTech companies, startups, remote optionsBusiness, finance, healthcare sectors, often office-based
CertificationsPython certifications, AI/ML coursesData analysis certifications, SQL, Excel courses

Part Time Python Ai roles focus on developing AI models and programming in Python, often in tech environments. In contrast, Part Time Data Analyst roles emphasize analyzing data sets, generating reports, and supporting business decisions. Both roles require technical skills but differ in their core focus and industry applications.

More about Part Time Python Ai jobs

What are the most commonly searched types of Python Ai jobs?

The most popular types of Python Ai jobs are:

Infographic showing various Part Time Python Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Java AI Architect

Conflux Systems

Texarkana, TX • On-site

$70/hr

Full-time, Part-time

Posted 5 days ago


Job description

Visa not allowed.
  • CPT EAD
  • Stem - OPT
  • OPT EAD
  • FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

  • Atos has stringent compliance and security requirements that all employees are expected to adhere to.
  • Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
  • Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

  • Client Name: Digital Practice - Internal Customer
  • Posman ID: POSMAN_127590
  • Position ID: 30390692
  • Job Posting ID: ATGTJP00102507
  • Role/Skills: Java EE, React JS, MSGithub Copilot
  • Rate: $70/hr.
  • Location: Remote
  • Duration: 6 months
  • Job Description: See below:

Must Have Technical/Functional Skills:
• Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance.
• Hands-on experience designing/building agent-based approaches and autonomous workflows.
• Strong expertise in Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design.
• Strong Python development experience and ability to guide teams with reference implementations.
• Experience with RAG, vector databases, and cloud deployments.
• Practical experience with GitHub Copilot adoption patterns including guardrails, prompt library management, extensions, and metrics
Preferred / Nice to Have
• Experience designing enterprise adoption frameworks for Copilot/AI with change management and champion models.
• Experience building Copilot-led accelerators for engineering productivity and rapid prototyping.
• Knowledge of AI governance requirements and productionization practices.
Roles & Responsibilities
1) Architecture & Strategy (AI / Agentic AI)
• Define the overall solution architecture for enterprise agentic AI programs and create the target-state roadmap
• Establish AI architecture standards, reference patterns, and governance guidelines for adoption at scale.
• Design architecture across LLMs/frameworks, vector databases, and cloud deployments, including Responsible AI practices.
2) Autonomous Agent Design & Orchestration (Copilot-led)
• Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
• Define a framework for prompt libraries, guardrails, extensions/integrations, and productivity metric tracking for Copilot adopt
• Drive repeatable implementation approach and best practices for Copilot-based engineering interventions and productivity tracking
• Enable Copilot-driven acceleration from design artifacts (e.g., Figma requirement sheets) to boilerplate code and supporting assets, where applicable.
• Establish patterns for agent-assisted testing and a roadmap toward autonomous testing where feasible (e.g., test case generation, script automation, regression maintenance).
3) Prompt Engineering Excellence
• Own enterprise prompt strategy including Zero-shot / Few-shot / Chain-of-Thought prompting techniques and prompt governance.
• Create reusable prompt frameworks/cookbooks, templates, and standards for consistent outcomes across teams.
4) RAG + Model/Tool Orchestration (Python-led)
• Architect and govern RAG pipelines, knowledge grounding approaches, and multi-turn agent orchestration using frameworks such as LangChain (or equivalent).
• Provide hands-on guidance for implementation in Python, including reference implementations and integration patterns.