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Part Time Remote Machine Learning Jobs in California

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Type: Part-Time (20-30 hours/week) Intended Start Date : ASAP Pay : $30/hr About Think ... Editing textbooks and other learning materials. Qualifications * Bachelor's degree in Mathematics ...

Cinematic AI Specialist

Burbank, CA ยท On-site +1

$55 - $75/hr

Familiarity with diffusion models, generative video, multimodal AI tools, or machine learning ... Remote instruction and project-based learning * Collaborative creative environment New York Film ...

Adjunct/Part Time Faculty (Fixed Term) Grade: NE15 Position Summary We are looking for energetic ... Remote work options for locations outside of the United States are not permitted. CLCnon-credit ...

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Part Time Remote Machine Learning information

What is a part time remote machine learning job?

Part time remote machine learning jobs are positions where professionals work on machine learning projects or tasks for a limited number of hours per week, and do so from a location outside the traditional office environment, often from home. These roles typically involve developing, testing, or deploying machine learning models, analyzing data, and collaborating with teams online. They are ideal for people seeking flexibility, such as students, freelancers, or individuals balancing other commitments, while contributing to projects in fields like AI, data science, or analytics.

How do part time remote machine learning roles typically structure collaboration and communication with the rest of the team?

Part-time remote machine learning professionals often collaborate with teams using digital tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular check-ins, virtual stand-ups, and shared documentation ensure alignment on project goals and timelines despite differing work hours. Clear communication and proactive updates are important, as team members may be dispersed across time zones and working non-overlapping schedules. Flexibility and self-motivation are key to staying connected and contributing effectively in this distributed work environment.

What are the key skills and qualifications needed to thrive as a part time remote machine learning professional, and why are they important?

To thrive as a Part Time Remote Machine Learning professional, you need a strong grasp of mathematics, statistics, programming (commonly Python), and a relevant educational background such as a degree in computer science or a related field. Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch) and version control systems like Git is typically required. Excellent time management, self-motivation, and clear communication skills are crucial for navigating remote collaboration and project deadlines. These skills ensure that you can independently deliver high-quality ML solutions while effectively contributing to distributed teams.

What is the difference between Part Time Remote Machine Learning vs Part Time Remote Data Scientist?

AspectPart Time Remote Machine LearningPart Time Remote Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, collaborative teams, project-focused
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research
Common Search IntentPart Time Remote Machine Learning jobs, freelance ML rolesPart Time Remote Data Scientist jobs, freelance data roles

Part Time Remote Machine Learning roles focus on developing algorithms and models, often requiring programming and ML frameworks. Part Time Remote Data Scientist positions involve analyzing data, creating insights, and may include statistical analysis. Both roles are remote and flexible but differ in core responsibilities and skill sets.

What are the most commonly searched types of Remote Machine Learning jobs in California?

The most popular types of Remote Machine Learning jobs in California are:

What are popular job titles related to Part Time Remote Machine Learning jobs in California?

For Part Time Remote Machine Learning jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Part Time Remote Machine Learning jobs?

Cities in California with the most Part Time Remote Machine Learning job openings:

Infographic showing various Part Time Remote Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Research Scientist

GroupSolver

San Diego, CA โ€ข On-site, Remote

Part-time

Re-posted 6 hours ago


Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.
Employment Type: PART_TIME