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Weekend Artificial Intelligence Machine Learning Jobs in Dallas, TX

Danta Technologies

Gen AI Engineer

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

The ideal candidate will leverage their expertise in Artificial Intelligence, Machine Learning, and Deep Learning to drive insights and innovation from customer and marketing data. You will work ...

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All JobsArtificial Intelligence Machine Learning JobsWeekend Artificial Intelligence Machine Learning JobsWeekend Artificial Intelligence Machine Learning Jobs in Dallas, TX

Weekend Artificial Intelligence Machine Learning information

See Dallas, TX salary details

$13

$26

$48

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

As of Aug 17, 2026, the average hourly pay for weekend artificial intelligence machine learning in Dallas, TX is $26.06, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $27.60 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 Dallas, TX?

The most popular types of Artificial Intelligence Machine Learning jobs in Dallas, TX are:

What are popular job titles related to Weekend Artificial Intelligence Machine Learning jobs in Dallas, TX?

For Weekend Artificial Intelligence Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Weekend Artificial Intelligence Machine Learning jobs in Dallas, TX look for?

The top searched job categories for Weekend Artificial Intelligence Machine Learning jobs in Dallas, TX are:

Weekend Artificial Intelligence Machine Learning jobs near you

JAVA Developer_ W2 Role_ Local to TX

Wise Equation Solutions Inc.

Plano, TX • On-site

$49 - $63.50/hr

Other

Posted 25 days ago

Job description

Position Title: Java Developer

Location: Plano, TX (5 days Onsite)

5 java openings
Tech Stack - Java, SpringBoot, AWS, Kafka, Terraform knowledge, Copilot exp is plus & preferred AWS certification

Candidate should be strong on AWS

coding will be included in interview

Required qualifications, capabilities, and skills:

  • Formal training or certification in software engineering concepts and 4 plus years applied experience.
  • Handson practical experience delivering system design, application development, testing, and operational stability.
  • Advanced in Java/J2EE, Spring Boot.
  • Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Indepth knowledge of the financial services industry and their IT systems.
  • Practical cloud native experience.

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