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Weekend Artificial Intelligence Machine Learning Jobs in Texas

AI Solutions Architect

San Antonio, TX

$56.75 - $74.75/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

AI Solutions Architect

Dallas, TX

$62.25 - $82/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

AI Solutions Architect

Austin, TX

$62.50 - $82.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

AI Solutions Architect

Houston, TX

$60.25 - $79.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... If you are passionate about artificial intelligence, data-driven solutions, and continuously ...

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Showing results 1-20

Weekend Artificial Intelligence Machine Learning information

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 are Weekend Artificial Intelligence Machine Learning jobs?

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, and why are they important?

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 Texas? The most popular types of Artificial Intelligence Machine Learning jobs in Texas are:
What cities in Texas are hiring for Weekend Artificial Intelligence Machine Learning jobs? Cities in Texas with the most Weekend Artificial Intelligence Machine Learning job openings:
Artificial Intelligence/Machine Learning

Artificial Intelligence/Machine Learning

Estaff LLC

Austin, TX

Other

Posted 16 days ago


Job description

We are looking for an Artificial Intelligence/Machine Learning (AI) Risk Officer who is a local candidate in Austin, TX, for a 100% On-site position

Will only accept LOCAL candidates for this position; anyone else will be rejected.

Will be responsible for governance, oversight, and risk mitigation for the design, deployment, procurement, and use of artificial intelligence (AI), machine learning, and advanced analytics. This individual ensures that AI-enabled systems used in regulatory, scientific, enforcement, and administrative functions operate in a manner that is lawful, ethical, secure, transparent, and aligned with public-sector values, environmental justice principles, and statutory mission. This individual serves as an expert on AI risk and governance, advises agency leadership, and collaborates closely with legal, cybersecurity, data, procurement, and program leadership to enable responsible innovation while safeguarding public trust.

Minimum Requirements:

Years

Required/Preferred

Experience

5

Required

Designing, implementing, and maintaining a comprehensive enterprise AI risk management and governance framework. Establishing policies, standards, and approval processes governing AI and advanced analytics use cases.

5

Required

Leading or co-chairing an internal AI Governance Council, which reviewed, prioritized, and approved AI initiatives. Ensuring consistent lifecycle oversight for AI systems from concept and procurement through deployment and retirement.

5

Required

Identifying, assessing, monitoring, and mitigating AI-related risks including algorithmic bias, model drift, explainability, data quality issues, cybersecurity vulnerabilities, operational risk, legal exposure and reputational risk.

5

Required

Oversight of AI risk assessments, model impact assessments, and control testing activities. Establishing escalation, incident response, and remediation protocols for AI-related issues.

5

Required

Partnering with Legal, Privacy, Records Management, and Compliance teams to ensure AI systems comply with Texas state laws, federal regulations, public records requirements, privacy protections, and civil rights obligations.

5

Required

Monitoring emerging AI-related laws, regulations, and standards and assessing their impact on agency operations. Serve as a senior advisor to executive leadership on AI governance, risk, and regulatory readiness.

5

Required

Championing ethical AI principles, including fairness, accountability, transparency, human oversight, and explainability.

5

Required

Ensuring AI use does not result in unfair or opaque regulatory outcomes, particularly in permitting, inspections, and enforcement.

5

Required

Supporting mechanisms for public transparency and defensibility where AI contributes to regulatory decisions.

5

Required

Collaborating closely with the Information Resources Manager, Deputy Director of Information Resources, Chief Data Officer, Chief Information Security Officer, and program area Directors.

5

Required

Influencing enterprise technology and data strategy by embedding AI risk considerations into planning and investment decisions.

5

Required

Acting as a trusted executive partner, balancing innovation enablement with responsible risk management.

5

Preferred

Developing and delivering executive and workforce training on responsible AI use and risk awareness.

5

Preferred

Promoting a culture of ethical, risk-aware innovation across scientific, regulatory, and administrative teams.

5

Preferred

Providing guidance to program teams on acceptable and prohibited uses of AI technologies.


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About Estaff

Sourced by ZipRecruiter

We have been the most trusted Technical Recruiting Partner for companies in Austin, Central Texas and nationwide for over 10 years. Are you looking to hire? The process of Placing Ads and reviewing hundreds of resumes is tedious, time consuming and may be impossible to get done with your already busy schedule. Well, worry no more! The experts at Estaff LLC offer over 50 years of recruiting experience to give you the fastest access to the most qualified resumes meeting your requirements. Our helpful, knowledgeable team can help you understand what you are looking for and have you fully staffed in no time. Find out how important experience and quality service are when hiring a technical recruiter for your Direct, Contract or Contract-to-Hire positions. Give us a call today and be on your way to finding the perfect fit for your company or click the button below and tell us what you are looking for and how we can contact you. We will do an analysis and call you to discuss your requirements in detail.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Austin, TX, US

Year founded

2008

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