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Machine Learning Part Time Jobs in California (NOW HIRING)

We're leveraging the latest advances in machine learning, NLP, and artificial intelligence to build ... Hours are flexible and this position is open for both part time and full time schedule. The ...

Must be willing and capable of learning the Serrano language. * Demonstrated commitment to students ... Constantly operates a computer and other office productivity machinery, such as a calculator, copy ...

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Machine Learning Part Time information

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$25.2K

$42K

$86.8K

How much do machine learning part time jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning part time in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What is a Machine Learning Part Time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the Machine Learning Part Time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What are popular job titles related to Machine Learning Part Time jobs in California? For Machine Learning Part Time jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in California look for? The top searched job categories for Machine Learning Part Time jobs in California are:
What cities in California are hiring for Machine Learning Part Time jobs? Cities in California with the most Machine Learning Part Time job openings:
Operations Associate - Part Time (Hollywood, LA)

Operations Associate - Part Time (Hollywood, LA)

Serve Robotics

Los Angeles, CA โ€ข On-site

$22/hr

Part-time

Posted 20 days ago

Be an early applicant


Job description

At Serve Robotics, weโ€™re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. Itโ€™s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. Weโ€™re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

JOB OVERVIEW

As an Operations Associate, youโ€™ll play a key role in ensuring the smooth and reliable performance of our autonomous delivery robots. While our robots are designed to operate independently, there are times when they need a helping handโ€”whether itโ€™s navigating around unexpected obstacles, dealing with technical issues, or responding to environmental challenges. Thatโ€™s where you come in.

In this hands-on role, youโ€™ll assist robots in the field, perform light maintenance tasks like cleaning sensors, and help ensure that deliveries are completed safely and on time. Your quick problem-solving and on-the-ground support will help minimize service interruptions and protect valuable equipment. Youโ€™ll also document incidents and share observations that directly contribute to the ongoing improvement of our technology and operations.

Youโ€™ll collaborate closely with teams across operations, engineering, and customer supportโ€”helping to manage robot deployments, escalate technical issues, and support safety and training initiatives.

JOB DUTIES

  • Maintain field readiness by supporting robots, ensuring timely response, coordination, and order fulfillment as business needs arise.

  • Assist in deployment processes in line with deployment expectations, including preparation, inspection, cleaning and placement of robots.

  • Track, document, and close escalation tickets while maintaining clear communication, constant updates, records, and supporting documentation.

  • Operate company vehicles safely to facilitate the movement, recovery, or repositioning of robotic units as needed.

  • Prioritize safety by adhering to company safety standards, escalating critical events appropriately, and ensuring personal well-being.

  • Manage end-of-shift recovery by securing, charging, sanitizing, and accounting for all robotic assets and associated equipment.

  • Ensure proper handling, maintenance, and storage of all company-issued tools, devices, and protective gear.

EXPERIENCE, QUALIFICATIONS, & SKILLS

Required Experience, Qualifications, and Skills

  • Valid drivers license

  • Comfortable driving mid-size utility vehicles as needed

  • Capable of lifting and maneuvering items weighing up to 50 pounds

  • Demonstrated ability to engage with customers in a professional setting

  • Willingness and ability to work flexible hours, including nights, weekends, and holidays, as operations require

Preferred Experience, Qualifications, and Skills

  • Experience with Jira

  • 1 year of experience in last-mile delivery, robotics, or customer-facing industries, with direct customer-facing (field or service-based) experience

  • Experience using work communication tools (ie. Slack)

  • Strong organizational, collaboration, and problem-solving skills.

Additional Information

  • Physical demands include walking/biking several miles per day and handling equipment.

  • Safety compliance: Adherence to PPE rules, strict cell phone protocols, and dress codes (high-visibility vests, safe footwear) is mandated.

  • Operations Associates must be prepared to perform duties in various weather conditions, including inclement weather.

  • This role requires the safe operation of company vehicles or e-bikes for work-related purposes. Employees must be able to perform driving duties safely and in accordance with company policies and applicable laws, with or without reasonable accommodation.