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Part Time Ai Automation Jobs (NOW HIRING)

AGG

Security Automation Intern

Atlanta, GA · On-site

... AI-driven security, and Zero Trust principles. This part-time internship is ideal for students or ... and automation in a legal-industry context. The intern will assist with incident response ...

C10 Labs

Enterprise AI Venture Fellow

Cambridge, MA · On-site

$100 - $150/hr

Studio Employment Type: Part Time Location: Cambridge Compensation: $100.00 - $150.00 / hour ... Strong interest in AI, enterprise software, SaaS, automation, startups, or venture creation

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How much do part time ai automation jobs pay per year?

As of Jun 8, 2026, the average yearly pay for part time ai automation in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time AI Automation Specialist, and why are they important?

To thrive as a Part Time AI Automation Specialist, you need a solid understanding of programming languages (such as Python), automation frameworks, and basic knowledge of AI concepts, often supported by relevant coursework or certifications. Familiarity with automation tools like UiPath, Zapier, or TensorFlow, as well as experience with cloud platforms and APIs, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you design efficient workflows and collaborate across teams. These competencies are essential for optimizing processes, reducing manual work, and ensuring reliable automation solutions in a flexible work arrangement.

What are some common challenges faced in a part-time AI automation role, and how can they be managed?

Part-time AI automation professionals often face challenges such as managing time effectively across multiple projects, staying updated with rapidly evolving technologies, and ensuring seamless integration of automation tools within existing workflows. To address these, it's important to maintain clear communication with the full-time team, prioritize tasks, and make use of collaborative project management tools. Regularly scheduling check-ins and leveraging online learning resources can also help part-time workers stay current and aligned with organizational goals.

How much can I make from AI automation?

In AI automation roles, such as those involving developing or managing automation tools, salaries can range from $50,000 to over $120,000 annually depending on experience, skills, and location. Part-time positions typically pay hourly, often between $20 and $50 per hour, with higher rates for specialized skills like machine learning or programming. Earnings can increase with certifications and proficiency in automation platforms like UiPath or Automation Anywhere.

What are part time AI automation jobs?

Part time AI automation jobs involve using artificial intelligence tools and technologies to automate tasks or processes, typically on a flexible or reduced-hour schedule. These roles can include responsibilities like developing automation scripts, maintaining AI-powered systems, or assisting with data analysis. Part time positions are ideal for students, freelancers, or professionals seeking work-life balance while contributing to AI projects. Employers value candidates with programming, data handling, and problem-solving skills, though some positions also offer entry-level opportunities with on-the-job training.
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Part Time Ai Automation jobs near you

Financial planning & analysis (FP&A) AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Posted 19 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 highly analytical and forward-thinking FP&A AI Expert to join our finance team. This role blends traditional financial planning and analysis with advanced AI-driven insights, enabling data-backed strategic decision-making. The ideal candidate will bring strong financial acumen alongside hands-on experience leveraging AI tools and data models to enhance forecasting accuracy, automate reporting, and uncover actionable insights.
Requirements
Key Responsibilities:
  • Lead the budgeting, forecasting, and variance analysis processes across business units, ensuring accuracy, transparency, and alignment with organizational goals.
  • Develop dynamic financial models that incorporate AI/ML techniques to improve forecast precision and identify trends, risks, and opportunities.
  • Perform detailed variance analysis (actual vs. budget/forecast), providing clear explanations and actionable recommendations to senior leadership.
  • Design and implement long-range planning frameworks, including multi-year financial projections and strategic roadmaps.
  • Build scenario models to evaluate the financial impact of business decisions, market changes, and operational strategies.
  • Define, monitor, and refine key performance indicators (KPIs) that align with business objectives and drive performance accountability.
  • Develop AI-powered dashboards and reporting tools for real-time KPI tracking and decision support.
  • Collaborate cross-functionally with finance, operations, product, and data teams to integrate financial insights into business strategies.
  • Automate repetitive FP&A processes using AI tools, improving efficiency and reducing manual effort.
  • Translate complex financial data into clear, concise insights for stakeholders, including senior management and executives.

Required Skills & Qualifications:
  • Bachelor's degree in Finance, Accounting, Economics, Data Science, or a related field; MBA/CA/CFA is a plus.
  • 3-8 years of experience in FP&A, financial modeling, or corporate finance.
  • Strong expertise in budgeting, forecasting, and variance analysis.
  • Proven experience in long-range planning and scenario modeling.
  • Ability to define and track KPIs that drive business performance.
  • Familiarity with AI/ML applications in finance, including predictive analytics and automation tools.
  • Advanced proficiency in Excel and financial modeling; experience with tools like Python, SQL, Power BI, or Tableau is highly desirable.
  • Strong analytical thinking and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to present insights to non-finance stakeholders.

Preferred Qualifications:
  • Experience working with AI-driven financial planning platforms or enterprise planning tools (e.g., Anaplan, Adaptive Insights).
  • Knowledge of data visualization and dashboarding best practices.
  • Exposure to automation tools and scripting for finance processes.

What Success Looks Like:
  • Improved forecasting accuracy through AI-driven models.
  • Streamlined budgeting and reporting processes with reduced manual intervention.
  • Clear visibility into business performance through well-defined KPIs and dashboards.
  • Strategic insights that directly influence business decisions and growth.

Apply