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Weekend Artificial Intelligence Machine Learning Jobs in Utah

TSMG

AI/ML Data Contributor

Salt Lake City, UT

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. * 3+ years of professional experience in Machine Learning Engineering ...

Crew Career Center

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. * 3+ years of professional experience in Machine Learning Engineering ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. * 3+ years of professional experience in Machine Learning Engineering ...

Roseman

Research Associate

South Jordan, UT · On-site

Develop, implement, and evaluate artificial intelligence (AI) and data science applications for ... Experience with machine learning, predictive modeling, natural language processing, or other AI ...

Smule

Director of Engineering

Salt Lake City, UT · On-site

Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field. * Experience building AI-powered consumer features, deep learning systems, recommendation ...

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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 Utah? The most popular types of Artificial Intelligence Machine Learning jobs in Utah are:
What are popular job titles related to Weekend Artificial Intelligence Machine Learning jobs in Utah? For Weekend Artificial Intelligence Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Weekend Artificial Intelligence Machine Learning jobs in Utah look for? The top searched job categories for Weekend Artificial Intelligence Machine Learning jobs in Utah are:
What cities in Utah are hiring for Weekend Artificial Intelligence Machine Learning jobs? Cities in Utah with the most Weekend Artificial Intelligence Machine Learning job openings:
Weekend Artificial Intelligence Machine Learning jobs near you

AI/ML Data Contributor

TSMG

Salt Lake City, UT

Part-time

Re-posted 21 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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