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Part Time Artificial Intelligence Finance information

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How much do part time artificial intelligence finance jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for part time artificial intelligence finance in the United States is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a part-time Artificial Intelligence Finance professional?

As a part-time Artificial Intelligence Finance professional, you will likely work on projects such as developing predictive financial models, automating data analysis processes, and supporting the implementation of AI tools for risk assessment or fraud detection. Your responsibilities may include collaborating with data scientists, finance analysts, and IT teams to refine algorithms and ensure data accuracy. The role often requires flexible problem-solving and the ability to manage multiple tasks within limited hours, making time management a key aspect of success.

Which 3 jobs will survive AI?

In the context of Part Time Artificial Intelligence Finance roles, jobs that require complex judgment, emotional intelligence, and specialized financial expertise are more likely to survive AI automation. These include financial analysts who interpret data, financial advisors providing personalized advice, and compliance officers ensuring regulatory adherence. Such roles often involve critical thinking and human interaction that AI cannot fully replicate.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and specialized certifications. These roles usually involve leadership, strategic planning, and the development of complex AI systems, and they are among the highest-paying jobs in the tech industry.

What's the easiest AI job to get?

Entry-level roles in artificial intelligence, such as AI data labeler or junior AI technician, are generally the easiest AI jobs to obtain. These positions often require basic understanding of AI concepts, familiarity with data annotation tools, and sometimes a relevant certification or training course. They typically have lower experience requirements compared to advanced AI research or development roles.

What is the difference between Part Time Artificial Intelligence Finance vs Part Time Data Analyst?

AspectPart Time Artificial Intelligence FinancePart Time Data Analyst
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI toolsDegree in Statistics, Mathematics, or related fields; proficiency in data analysis software
Work EnvironmentFinancial firms, tech companies, or consulting agenciesCorporate offices, financial institutions, or research organizations
Industry UsageFinance, Fintech, AI developmentBusiness, finance, marketing, research
Common Search/ComparisonPart Time Artificial Intelligence Finance vs Part Time Data Analyst

While both roles involve data handling, Part Time Artificial Intelligence Finance focuses on applying AI techniques to financial data, whereas Part Time Data Analyst primarily analyzes data to support business decisions. The credentials overlap in analytical skills, but AI finance roles require additional knowledge of AI tools and finance-specific applications.

What is a Part Time Artificial Intelligence Finance job?

A Part Time Artificial Intelligence Finance job involves working with financial data and systems using AI tools and techniques, but on a reduced or flexible schedule instead of full time. Professionals in this role might develop or implement AI models to automate financial analysis, detect fraud, optimize investments, or improve decision-making processes. These positions are ideal for those with expertise in both finance and AI technologies who are looking for flexible work arrangements. Common employers include banks, fintech companies, investment firms, and consultancies integrating AI into financial operations.

What are the key skills and qualifications needed to thrive as a Part Time Artificial Intelligence Finance professional, and why are they important?

To thrive as a Part Time Artificial Intelligence Finance professional, you need a solid background in finance, data analysis, and a working understanding of AI concepts, often supported by a degree in finance, economics, computer science, or a related field. Familiarity with financial modeling software, data analytics tools like Python or R, and machine learning platforms such as TensorFlow or Scikit-learn is typically required. Strong problem-solving, communication, and adaptability are essential soft skills for interpreting data and translating insights to financial strategies. These combined skills enable professionals to leverage AI effectively for data-driven decision-making and competitive advantage in the financial sector.

Which 5 jobs will survive AI?

Jobs in artificial intelligence finance, such as financial analysts, quantitative analysts, and risk managers, are likely to persist as they require complex decision-making, domain expertise, and understanding of financial regulations. Roles involving strategic planning, client relationship management, and regulatory compliance are also less susceptible to automation. These positions often require advanced skills, certifications, and human judgment that AI cannot fully replicate.
More about Part Time Artificial Intelligence Finance jobs
What cities are hiring for Part Time Artificial Intelligence Finance jobs? Cities with the most Part Time Artificial Intelligence Finance job openings:
What are the most commonly searched types of Artificial Intelligence Finance jobs? The most popular types of Artificial Intelligence Finance jobs are:
What states have the most Part Time Artificial Intelligence Finance jobs? States with the most job openings for Part Time Artificial Intelligence Finance jobs include:
What job categories do people searching Part Time Artificial Intelligence Finance jobs look for? The top searched job categories for Part Time Artificial Intelligence Finance jobs are:
Part Time Artificial Intelligence Finance jobs near you
Infographic showing various Part Time Artificial Intelligence Finance job openings in the United States as of June 2026, with employment types broken down into 8% Full Time, 91% Part Time, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $42,427 per year, or $20.4 per hour.
Part-time Instructor - Data Analytics, Artificial Intelligence & Business Technology

Part-time Instructor - Data Analytics, Artificial Intelligence & Business Technology

Columbus Technical College

Columbus, GA • On-site

Part-time

Posted 7 days ago

Job description

Columbus Technical College is looking for an individual to serve as a part-time Instructor for Data Analytics, Artificial Intelligence, and Business Technology in our Economic Development division. This position is responsible for the delivery of high-quality workforce training programs designed to prepare students, incumbent workers, military personnel, transitioning service members, and business professionals with the knowledge and skills required in today's data-driven economy.
The instructor will teach and facilitate courses across a broad spectrum of technology-related topics including Artificial Intelligence (AI) for Business, Data Analytics, Data Visualization, Business Intelligence, Digital Transformation, Microsoft Power Platform, Excel Analytics, Predictive Analytics, CompTIA certification preparation courses, and emerging technology applications. Instruction may be delivered in classroom, virtual, hybrid, or customized corporate training environments. This position is part-time/exempt.
Responsibilities:
  • Instruction and Facilitation Deliver engaging and effective instruction in assigned workforce development and economic development training programs.
  • Teach courses in areas including but not limited to:
    • Artificial Intelligence for Business & Generative AI Applications
    • Prompt Engineering
    • AI Productivity Tools
    • Data Analytics Fundamentals
    • Business Analytics & Data Visualization
    • Business Intelligence Microsoft Excel (Basic through Advanced)
    • Power BI
    • Tableau
    • Microsoft Power Platform
    • Data Storytelling
    • Dashboard Development
    • SQL Fundamentals
    • Data Management
    • Process Automation
    • Digital Transformation & Emerging Business Technologies
    • CompTIA Data+, CompTIA A+, CompTIA Network+, CompTIA Security+, CompTIA Tech+
  • Facilitate hands-on learning experiences using real-world business scenarios and datasets
  • Assess student performance through projects, assignments, demonstrations, presentations, and examinations
  • Maintain a positive and professional learning environment that promotes student engagement and success
  • Curriculum Development
  • Workforce & Industry Engagement
  • Student Support
  • Administrative Responsibilities
Minimum Qualifications:
  • Bachelor's degree in Data Analytics, Information Technology, Computer Science, Business Analytics, Information Systems, or a closely related field
  • Three (3) years of professional experience in data analytics, business intelligence, artificial intelligence, technology implementation, cybersecurity, networking, IT support, or related fields. Demonstrated proficiency in Microsoft Excel, Power BI, business analytics tools, and/or CompTIA-aligned technologies
  • Experience delivering training, instruction, presentations, or workforce development programs
Preferred Qualifications:
  • Master's degree in a related field
  • Industry certifications such as:
    • Microsoft Power BI Data Analyst
    • Associate Microsoft Certified Trainer (MCT)
    • Tableau Certification
    • Google Data Analytics Certificate
    • AWS AI Practitioner
    • Microsoft AI Certifications
    • CompTIA Data+
    • CompTIA A+
    • CompTIA Network+
    • CompTIA Security+
    • CompTIA Tech+
    • CompTIA CySA+
    • CompTIA Cloud+
    • Experience delivering customized corporate training
    • Experience working with adult learners and workforce development programs
    • Experience supporting economic development initiatives and industry partnerships

Salary/Benefits:
Pay rate is commensurate with education and experience, no benefits.
Application Deadline:
Applications accepted until June 15, 2026. Applicants must submit a Columbus Technical College employment application online and upload a cover letter, resume and copy of transcript(s) at time of application (Incomplete submissions will not be considered). **Please note: All references will be checked prior to employment offer. Post offer requirements will include a criminal background check and motor vehicle records check. **
Please note: If you are a current retiree of the State of Georgia Teachers Retirement System (TRS) or Employee's Retirement System (ERS), you must contact your retirement system prior to working for Columbus Technical College and verify your eligibility to work and the work hour limitations. Failure to comply with the retirement system's requirements may cause a delay or stoppage of your retirement pay. Upon hire, you must notify Columbus Technical College Human Resources Department of your retirement status.
Employment Policy:
Equal opportunity and decisions based on merit are fundamental values of the Technical College System of Georgia (TCSG). The TCSG State Board prohibits discrimination on the basis of an individual's age, color, disability, genetic information, national origin, race, religion, sex, or veteran status ("protected status"). No individual shall be excluded from participation in, denied the benefits of, or otherwise subjected to unlawful discrimination, harassment, or retaliation under, any TCSG program or activity because of the individual's protected status; nor shall any individual be given preferential treatment because of the individual's protected status, except the preferential treatment may be given on the basis of veteran status when appropriate under federal or state law.
Columbus Technical College is an equal opportunity employer. All employment processes and decisions, including but not limited to hiring, promotion, and tenure shall be free of ideological tests, affirmations, and oaths, including diversity statements. The basis and determining factor for such decisions should be that the individual possesses the requisite knowledge, skills, and abilities associated with the role, and is believed to have the ability to successfully perform the essential functions, responsibilities, and duties associated with the position for which the person is being considered. At the core of any such decision is ensuring the institution's ability to achieve its mission and strategic priorities in support of student success.
For nondiscrimination information, please contact:
  • Dr. Felicia Harris, Title IX Coordinator for Students - 706.641.5032, [email protected]
  • Jennifer Thompson, Title IX Coordinator for Employees - 706.649.1883, [email protected]
  • Olive Vidal-Kendall, Section 504 Coordinator (ADA/Section 504) - 706.649.1442, [email protected]

All coordinators can also be reached at Columbus Technical College, 928 Manchester Expressway, Columbus, Georgia 31904-6572.

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