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Weekend Artificial Intelligence Machine Learning Jobs in Orem, UT

... Artificial Intelligence across the organization. This individual will work closely with data ... Familiarity with data science and machine learning concepts. * Strong analytical and problem ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... machine learning applications * Develop and maintain data ingestion processes to bring data from ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... Artificial Intelligence across the organization. This individual will work closely with data ... Familiarity with data science and machine learning concepts. * Strong analytical and problem ...

... Artificial Intelligence across the organization. This individual will work closely with data ... Familiarity with data science and machine learning concepts. * Strong analytical and problem ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Data Engineer

Provo, UT

$108K - $130K/yr

... machine learning applications * Develop and maintain data ingestion processes to bring data from ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... machine learning applications * Develop and maintain data ingestion processes to bring data from ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Artificial Intelligence & Emerging Technology * Support AI governance--policies, standards, and ... Research and advise on legal and regulatory issues arising from AI and machine learning -- IRC § ...

Posted today

Artificial Intelligence & Emerging Technology * Support AI governance--policies, standards, and ... Research and advise on legal and regulatory issues arising from AI and machine learning -- IRC § ...

Posted today

Sr. Platform Engineer - Data Infrastructure

Lehi, UT · On-site

$101K - $138K/yr

... machine learning * Experience with Kubernetes * Experience with GCP * A background in operations ... At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a ...

AI & Innovation Intern

Sandy, UT · On-site

$14.25 - $19/hr

... artificial intelligence, emerging technology, and innovation. * Familiarity with ChatGPT, Claude, or other AI tools. * Strong problem-solving and communication skills. * Comfortable learning new ...

Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Utilizing more than 46 trillion data points, sophisticated machine learning and artificial intelligence ("AI") models, Pattern optimizes and automates key levers of ecommerce growth for global brands ...

Showing results 41-60

Weekend Artificial Intelligence Machine Learning information

See Orem, UT salary details

$12

$22

$42

How much do weekend artificial intelligence machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for weekend artificial intelligence machine learning in Orem, UT is $22.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $24.23 per hour, depending on experience, location, and employer.

What is the difference between Weekend Artificial Intelligence Machine Learning vs Data Scientist?

AspectWeekend Artificial Intelligence Machine LearningData Scientist
Required CredentialsRelevant certifications in AI/ML, programming skillsDegree in Data Science, Statistics, or related fields
Work EnvironmentPart-time, project-based, flexible hoursFull-time, office or remote, collaborative teams
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonOften compared for AI/ML roles with flexible schedulesBroader data analysis roles, often full-time

Weekend Artificial Intelligence Machine Learning roles focus on part-time, flexible projects requiring AI/ML skills and certifications, often in tech environments. Data Scientists typically work full-time in data analysis, requiring advanced degrees and broader industry applications. Both roles involve data handling but differ in work hours, environment, and career scope.

What is a weekend artificial intelligence machine learning job?

Weekend Artificial Intelligence Machine Learning jobs are positions that allow professionals to work specifically on weekends, focusing on tasks related to AI and machine learning. These roles can involve data analysis, model development, algorithm optimization, or supporting AI projects, often in a part-time or contract capacity. They are ideal for individuals seeking flexible work schedules or those wanting to gain experience in AI/ML outside of traditional weekday hours. Such positions are available in various industries, including tech, healthcare, finance, and more.

What are some common challenges faced by professionals working in a weekend artificial intelligence machine learning role?

Professionals in weekend AI/ML roles often face the challenge of balancing project deadlines with limited working hours, which requires strong time management and prioritization skills. Collaboration can also be more complex, as team members may work on different schedules, making clear communication and documentation especially important. Additionally, staying updated with rapidly evolving AI/ML tools and frameworks can be demanding, so dedicating time for continuous learning is essential. Despite these challenges, weekend roles can offer flexibility and the opportunity to work on cutting-edge projects while accommodating other commitments.

What are the key skills and qualifications needed to thrive as a weekend artificial intelligence machine learning specialist?

To thrive as a Weekend Artificial Intelligence Machine Learning Specialist, you need a solid background in mathematics, statistics, and programming, typically with a degree in computer science or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools and cloud platforms, are often required along with relevant certifications. Strong problem-solving abilities, time management, and effective communication skills help professionals excel during limited weekend hours. These competencies ensure that complex AI/ML tasks are efficiently addressed and projects move forward even within a condensed work schedule.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Orem, UT? The most popular types of Artificial Intelligence Machine Learning jobs in Orem, UT are:
What are popular job titles related to Weekend Artificial Intelligence Machine Learning jobs in Orem, UT? For Weekend Artificial Intelligence Machine Learning jobs in Orem, UT, the most frequently searched job titles are:

Director Cybersecurity, Data Privacy, & Compliance

Breeze Airways

Cottonwood Heights, UT • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Breeze Airways rating

5.9

Company rating: 5.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

21st of 26 rated airlines


Job description

Breeze is hiring- join us!

The Director Cybersecurity, Data Privacy, & Compliance leads the enterprise cybersecurity, data privacy, and data governance programs while ensuring regulatory compliance across all operational and commercial functions of Breeze Airways. This role defines and executes the organization's information security strategy, establishes and matures the enterprise data privacy and governance framework, ensures compliance with applicable federal, state, and international privacy regulations (including CCPA/CPRA, state privacy laws, and GDPR where applicable), and oversees aviation-specific regulatory compliance obligations related to data and technology (including DOT, TSA, and FAA requirements). The Director also provides strategic oversight for responsible AI/ML governance as the organization adopts emerging technologies. This responsibility extends into all business units within the organization including airport systems, maintenance and engineering, inflight, aircraft, safety, commercial, back office, infrastructure, and cloud.

Here's what you'll do
  • Set the strategy for new technologies and information security products that will support information security requirements for the company and its customers, business partners, and vendors.
  • Establish the strategy to mitigate information security risks within the organization.
  • Collaborate closely with senior-level technology leaders to develop and plan the information security architecture strategy.
  • Lead ongoing threat and vulnerability assessments and substantive testing of information security controls.
  • Work closely with other teams, including network engineers, data engineers, software engineers, and business teams to achieve common goals.
  • Serve as the escalation point and information security expert for solution designs and technical consulting services.
  • Direct complex information security principles and requirements into business initiatives that securely drive innovation, improve customer experience, and control costs
  • Oversee and perform technology security risk assessments
  • Perform due diligence reviews and manage the remediation efforts of SOC 1/SOC 2 reports, penetration tests, and PCI audits.
  • Develop, implement, and maintain the enterprise data privacy program, including privacy policies, standards, and procedures aligned with applicable laws and regulations (CCPA/CPRA, state privacy laws, GDPR where applicable, and emerging federal privacy legislation)
  • Guide to the Data Subject Access Request (DSAR) and individual rights management process.
  • Lead Privacy Impact Assessments (PIAs) and Data Protection Impact Assessments (DPIAs) for new systems, applications, vendor engagements, and business initiatives
  • Champion privacy-by-design and privacy-by-default principles across technology, business partners and business projects.
  • Direct the organization's data breach notification and incident response process in coordination with Legal, Communications, and executive leadership, ensuring compliance with all applicable breach notification requirements.
  • Manage and deliver enterprise-wide privacy awareness training and education programs.
  • Evaluate and manage privacy risks associated with third-party vendors, business partners, and data processors through contractual controls and ongoing monitoring.
  • Establish and lead the enterprise data governance framework, including data ownership, data stewardship, and accountability models across business units.
  • Define, develop, and implement data security and governance standards including data classification, encryption, data loss prevention, data access governance for structured and unstructured data, and monitoring to prevent data-related security incidents.
  • In coordination with the data analytics team, refine data quality standards, and partner with business and technology teams to ensure data integrity across critical systems.
  • Develop and implement policies and frameworks for the responsible and ethical use of artificial intelligence and machine learning technologies across the organization.
  • Assess and manage risks related to AI/ML models, including data bias, algorithmic fairness, transparency, and explainability.
  • Ensure AI/ML initiatives comply with emerging regulatory requirements and industry best practices for responsible AI.
  • Collaborate with data science, business teams, data and software engineering, to embed governance controls into the AI/ML development lifecycle.
  • Ensure compliance with aviation-specific regulatory requirements related to data, technology, and cybersecurity, including DOT, TSA, and FAA mandates.
  • Monitor and assess the impact of evolving federal, state, and international regulations on the organization's cybersecurity, privacy, and data governance posture.
  • Create, update, and improve upon key performance indicators gauging the company's level of compliance and provide reports to leadership.
  • Maintain strong oversight of third parties and business partners to safeguard against undue risk and ensure contractual and regulatory compliance.
  • Coordinate with Legal and other departments on regulatory examinations, audits, and inquiries related to cybersecurity, data privacy, and data governance.
  • Other duties as assigned by the VP of Technology.
  • Achieve performance measures and adhere to established standards in conjunction with Breeze Aviation Group Values of Safety, Kindness, Integrity, Ingenuity and Excellence.
Here's what you'll need to be successfulMinimum Qualifications
  • 4-year degree in Computer Science, Systems Engineering, Information Technology, Management Information Systems, or a related discipline, or an additional 2+ years of training/experience in lieu of degree
  • 8+ years of experience in information security, data privacy, data governance, or a related field
  • 4+ years in a leadership role
  • 2+ years of experience developing and implementing data governance frameworks, policies, and standards.
  • 2+ years of experience with data governance tools and platforms (e.g., data catalogs, metadata management, DLP solutions)
  • 2+ years of experience with privacy management platforms and DSAR automation tools
  • Deep technical expertise in technology infrastructure, networking, cybersecurity, cloud computing, and enterprise systems architecture is a must
  • Demonstrated knowledge of data privacy regulations (e.g., CCPA/CPRA, state privacy laws, GDPR) and experience building or managing a privacy compliance program is also required
  • The Director of Cybersecurity must:
    • Be a U.S. citizen who is therefore eligible to seek a security clearance at the Secret Level
    • Serve as the primary contact for cyber-related intelligence information and cybersecurity-related activities and communications with TSA and the Cybersecurity and Infrastructure Security Agency (CISA)
    • Be accessible to TSA and CISA 24-hours a day, seven-days a week
    • Coordinate cyber and related security practices and procedures internally
    • Work with appropriate law enforcement and emergency response agencies
Preferred Qualifications
  • Industry certification in security (e.g., CISSP, CISM, CISA, and/or GIAC)
  • Industry certification in privacy (e.g., CIPP/US, CIPP/E, CIPM, CIPT)
  • Familiarity with aviation industry regulatory requirements (DOT, TSA, FAA) as they relate to data and technology
  • Experience developing AI/ML governance frameworks or responsible AI policies
  • Experience in a regulated industry (aviation, financial services, healthcare, etc.)
Skills/Talents
  • Ability to work well under pressure, prioritize projects, meet deadlines, and maintain flexibility
  • High level of integrity and ethics, able to handle sensitive and/or proprietary information with discretion and confidentiality
  • Self-starter must have a positive attitude and strong desire for success
  • Strong attention to detail, organization, and time management skills
  • Ability to translate complex regulatory and technical requirements into actionable business policies and procedures
  • Strong knowledge of privacy laws, data protection regulations, and compliance frameworks (NIST, ISO 27001, PCI DSS, SOC 2)
  • Proven leadership and managerial skills, with the ability to inspire, motivate, and develop high-performing teams.
  • Excellent oral and written communication skills, with the ability to present to executive leadership, regulators, and cross-functional teams
  • Strong analytical and problem-solving abilities, with a focus on driving continuous improvement and innovation in technology systems and processes.
  • Ability to work with individuals and teams at all levels in the organization
  • Strong stakeholder management skills with the ability to influence without direct authority across business units
  • Exemplifies Breeze's safety culture, values, and mission
Perks of the Job
  • Health, Vision and Dental
  • Health Savings Account with Breeze Employee Match
  • 401K with Breeze Employee Match
  • PTO
  • Travel on Breeze and other Airlines too!

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