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Part Time Python Ai Jobs (NOW HIRING)

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... Strong analytical tools proficiency (e.g., Python, SQL, Excel, or similar). * Excellent ...

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

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

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

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

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

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 is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Assess AI model outputs for accuracy, reasoning quality, and technical correctness. * Identify ...

AI Intern

Duluth, GA · On-site

... in a part-time, fast-paced environment * Experience or coursework related to AI, machine learning, data analytics, or automation * Experience with or exposure to tools such as Python, Jupyter ...

Showing results 21-40

Part Time Python Ai information

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$13

$58

$86

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

As of Sep 9, 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.

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The most popular types of Python Ai jobs are:

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The top searched job categories for Part Time Python Ai jobs are:

What other helpful pages are available for Part Time Python Ai?

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Infographic showing various Part Time Python Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Capital allocation AI Expert

Remote

$100 - $120/hr

Part-time

Re-posted 21 days ago


Job description

This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a Capital Allocation AI Expert to drive data-informed investment decisions across the organization. This role sits at the intersection of finance, strategy, and advanced analytics, focusing on optimizing how capital is deployed to maximize long-term value. You will evaluate investment opportunities, guide build vs. buy decisions, and prioritize initiatives under resource constraints using AI-driven insights and rigorous financial frameworks.
Requirements
Key Responsibilities
  • Evaluate Investment Opportunities & ROI:
    Analyze a wide range of investment opportunities, including product development, technology adoption, acquisitions, and operational improvements. Build and maintain financial models to assess ROI, IRR, NPV, and payback periods. Leverage AI and predictive analytics to enhance forecasting accuracy and scenario planning. Translate complex analyses into clear, actionable recommendations for stakeholders.
  • Build vs. Buy Decision Frameworks:
    Develop structured frameworks to assess whether capabilities should be built internally or acquired externally. Incorporate cost, time-to-market, scalability, strategic control, and risk factors into decision-making models. Use data-driven insights to quantify trade-offs and support leadership in making informed choices aligned with long-term business goals.
  • Prioritize Initiatives Under Constraints:
    Design prioritization models that balance strategic impact, financial return, and resource availability. Apply optimization techniques and AI tools to rank initiatives across competing demands. Work closely with cross-functional teams to ensure alignment between strategic priorities and execution capacity.
  • AI-Driven Decision Support:
    Implement and utilize machine learning models and decision-support systems to enhance capital allocation processes. Continuously improve data pipelines, model accuracy, and reporting capabilities. Identify opportunities to automate repetitive analysis and improve decision speed without compromising quality.
  • Stakeholder Collaboration:
    Partner with finance, product, engineering, and leadership teams to gather inputs, validate assumptions, and align on priorities. Communicate insights effectively to both technical and non-technical audiences, ensuring transparency in decision-making.
  • Performance Monitoring & Optimization:
    Track the performance of funded initiatives against projected outcomes. Conduct post-investment reviews to refine models and improve future allocation decisions. Establish feedback loops to ensure continuous improvement.

Required Skills & Qualifications
  • Bachelor's or Master's degree in Finance, Economics, Engineering, Data Science, or a related field.
  • 2-8 years of experience in capital allocation, investment analysis, strategy consulting, or a similar role.
  • Strong financial modeling skills with a deep understanding of ROI metrics (NPV, IRR, etc.).
  • Experience applying AI/ML techniques to business decision-making or forecasting.
  • Proven ability to structure and solve complex problems under uncertainty.
  • Familiarity with build vs. buy evaluation frameworks and strategic trade-off analysis.
  • Strong analytical tools proficiency (e.g., Python, SQL, Excel, or similar).
  • Excellent communication and stakeholder management skills.

Preferred Qualifications
  • Experience in high-growth or technology-driven environments.
  • Exposure to optimization algorithms or resource allocation models.
  • Background in corporate strategy, venture investing, or product prioritization.