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Part Time Openai Jobs in California (NOW HIRING)

Part Time Openai information

What are part time OpenAI jobs?

Part Time OpenAI jobs are positions at OpenAI that allow employees to work fewer hours than a standard full-time schedule, typically ranging from 10 to 30 hours per week. These roles may be available in various departments such as research, engineering, customer support, or operations, and can offer flexible scheduling to accommodate other commitments. Part-time employees at OpenAI may be able to contribute to projects involving advanced artificial intelligence and machine learning, while also balancing other professional or personal responsibilities.

What are the key skills and qualifications needed to thrive as a part time AI research assistant at OpenAI?

To thrive as a Part-Time AI Research Assistant at OpenAI, a strong background in computer science, machine learning, and data analysis is generally required, often supported by relevant coursework or a degree. Familiarity with Python, TensorFlow or PyTorch, and version control systems like Git is essential for technical tasks. Strong problem-solving skills, communication, and the ability to work independently are valuable soft skills in this role. These competencies enable effective support of research projects, contribute to innovative developments, and ensure efficient collaboration within the team.

How does working part-time at OpenAI typically impact collaboration and communication with full-time teams?

Part-time roles at OpenAI are structured to ensure effective integration with full-time teams, often leveraging flexible schedules and digital collaboration tools. While you may need to coordinate your hours to overlap with key meetings or project milestones, OpenAI provides strong support for remote and asynchronous work. Clear communication and proactive participation are encouraged, so establishing regular check-ins with your team can help you stay aligned and contribute meaningfully. This collaborative environment allows part-time employees to have a real impact while maintaining a flexible work-life balance.

What are the most commonly searched types of Openai jobs in California?

The most popular types of Openai jobs in California are:

What are popular job titles related to Part Time Openai jobs in California?

For Part Time Openai jobs in California, the most frequently searched job titles are:

What job categories do people searching Part Time Openai jobs in California look for?

The top searched job categories for Part Time Openai jobs in California are:

What cities in California are hiring for Part Time Openai jobs?

Cities in California with the most Part Time Openai job openings:

Infographic showing various Part Time Openai job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 78% In-person, and 22% Remote job distribution.

Machine Learning Research Scientist

GroupSolver

San Diego, CA • On-site, Remote

Part-time

Re-posted 13 days 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