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Part Time Artificial Intelligence Finance Jobs (NOW HIRING)

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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 Sep 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 is a part time artificial intelligence finance?

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?

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.

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.

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.

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Infographic showing various Part Time Artificial Intelligence Finance job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $42,427 per year, or $20.4 per hour.

Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions

San Diego, CA • On-site

University of San Diego
Colleges, Universities, and Professional Schools • 501 - 1,000 employees

$40 - $44/hr

Full-time, Part-time

Re-posted 17 days ago


University Of San Diego rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions

Apply now Posting #: 5037
Position Status: Faculty, Part-time temporary
Location: San Diego
Position Type: Faculty, Continuing Education

Position Title & Department:

Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions Posting #

5037

University Description:

The University of San Diego, a contemporary and engaged Contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity's urgent challenges.

Detailed Description:

The University of San Diego, Professional and Continuing Education is looking for an adjunct faculty member to teach and/or develop online classes in our Artificial Intelligence for Business Solutions program.  The program will consist of eight 1-unit courses. These courses are offered in the online self-paced format and students have 6 months to complete it.  Each of these eight courses will be four weeks in length.

The University of San Diego is committed to enriching the educational experience it offers through the diversity of its faculty, administrators, and staff members. The college seeks to recruit and support a broadly diverse team who will contribute to the college's excellence, diversity of viewpoints and experiences, embrace concepts of equity and inclusiveness and support the equal rights of all people by advancing the understanding and appreciation of differences including age, race, gender, ability, religious convictions, socio-economic status, ethnic heritage, or sexual orientation.

While we appreciate your interest in employment with the University of San Diego, applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for any position.

Job Duties and Responsibilities:

Teaching responsibilities include teaching, assessing student progress in meeting the learning objectives through formal and informal assessment, holding office hours, meeting required deadlines for submitting grades, attendance, and other information, as requested, and adhering to safety procedures and departmental standards.  Development responsibilities include working with the Learning Design Team to create and develop the course in our learning management system while meeting agreed upon deliverable dates.

Work Mode: This position is entirely remote.

Work Schedule: Online as Needed

Special Conditions of Employment:

Effective June 1, 2023, based on CDC guidance, the University strongly encourages all campus members to stay up to date with Influenza and COVID-19 vaccination recommendations.  For more regarding information USD's COVID-19 protocols, please visit sandiego.edu/onward.

Background check:  Successful completion of a pre-employment background check.

Job Requirements:

Required Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. (Such as mathematics; with an emphasis on algorithms, data structures, and programming languages like Python.)  Working knowledge of generative AI techniques, such as GANs and VAEs is a plus.  A minimum of two (2) years of full-time professional experience in these areas is required.

Preferred Qualifications:

Prior experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineer, Data Analysis preferred.

Experience with the Canvas learning management system is a plus.

Posting Salary:

$40-44/hour

The salary range provided in this posting reflects what we reasonably expect to pay for this position.  Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.

Special Application Instructions:

Resume and Cover Letter Required

Click the 'Apply Now' button to complete our online application. In addition, please upload a cover letter and resume to your application profile for the hiring managers' review. 

Contact: Andrew Drotos, adrotos@SanDiego.edu

If you have any technical questions or difficulties please contact the Employment Services Team at jobs@sandiego.edu.

Additional Details:

Note: External job postings will be up for at least five days. After that time, applications will be reviewed by the hiring manager/committee throughout the posting period. A candidate may be selected at any time which could then close this posting on a date earlier than listed.
The University of San Diego is an equal opportunity employer committed to diversity and inclusion and is especially interested in candidates who can contribute to the diversity and excellence of the campus community.
The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.

Advertised: August 08, 2024 Pacific Daylight Time
Applications close:

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