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Machine Learning Part Time Jobs in California (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist, Mid

San Diego, CA · On-site

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Machine Learning Part Time information

See California salary details

$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:
Machine Learning Part Time jobs near you

Machine Learning Software Engineer (Part-Time | $80 -$120/hr)

Call For Referral

San Francisco, CA • Remote

$80 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Software Engineer (Part-Time | $80 –$120/hr)

Join to apply for the Machine Learning Software Engineer (Part-Time | $80 –$120/hr) role at Call For Referral.

Get AI-powered advice on this job and more exclusive features. This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: $80.00/hr - $120.00/hr

About the Role

At Mercor, we’re building the talent engine that helps leading labs and research organizations move AI forward. Our newest initiative focuses on benchmarking and improving model performance and training speed across real machine learning workloads.

If you’re an early-career Machine Learning Engineer or an ML-focused graduate student/PhD who values innovation, rigor, and meaningful impact, we’d love to meet you.

This is a remote, asynchronous, part-time opportunity ideal for individuals who thrive on clear structure and measurable outcomes.

What to Expect
  • Schedule: Remote and asynchronous — set your own working hours
  • Commitment: ~20 hours per week
  • Duration: Through December 22nd, with potential extension into 2026
What You’ll Do
  • Draft detailed natural-language plans and code implementations for machine learning tasks
  • Convert novel ML problems into agent-executable tasks for reinforcement learning environments
  • Identify failure modes and apply golden patches to LLM-generated trajectories for ML tasks
What You’ll Bring
  • Experience: 0–2 years as a Machine Learning Engineer or graduate-level experience in Computer Science, ML, or related coursework
  • Required Skills: Familiarity with ML libraries: TensorFlow, XGBoost, scikit-learn, etc.; experience with model training, data preparation, and evaluation
  • Bonus: Contributions to ML benchmarks or open-source ML tooling
Compensation & Terms
  • Rate: $80–$120 per hour (based on experience and region)
  • Payments: Weekly via Stripe Connect
How to Apply
  • Complete the System Design Session (< 30 minutes)
  • Fill out the Machine Learning Engineer Screen (< 5 minutes)

⚡ PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity. ⚡

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