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Trainee Computer Science Artificial Intelligence Jobs in Berkeley, CA

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

... data science, and computer science to help us develop a software framework for designing and ... artificial intelligence approaches using the data. Successful candidates will continue into ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site

$90K - $140K/yr

... data science, and computer science to help us develop a software framework for designing and ... artificial intelligence approaches using the data. Successful candidates will continue into ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Genmo

Research Scientist (diffusion)

San Francisco, CA · On-site

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML ...

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Trainee Computer Science Artificial Intelligence information

See Berkeley, CA salary details

$32.4K

$46.5K

$70.4K

How much do trainee computer science artificial intelligence jobs pay per year?

As of Aug 8, 2026, the average yearly pay for trainee computer science artificial intelligence in Berkeley, CA is $46,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,700.00 and $51,400.00 per year, depending on experience, location, and employer.

How do I get a job in artificial intelligence with no experience?

To get a trainee computer science artificial intelligence position with no experience, focus on building foundational skills in programming languages like Python, learn key AI concepts such as machine learning and neural networks, and complete online courses or certifications. Gaining practical experience through personal projects, internships, or contributing to open-source AI initiatives can also improve your chances.

Is artificial intelligence taking entry-level computer science jobs?

Artificial intelligence is transforming many entry-level computer science roles by automating tasks such as data analysis, coding, and testing. However, entry-level positions still require foundational skills in programming, algorithms, and problem-solving, and AI often creates new opportunities rather than replacing all jobs at this level.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for an artificial intelligence (AI) job, as it covers programming, algorithms, and data structures essential for AI roles. Additional skills in machine learning, deep learning, and experience with tools like Python, TensorFlow, or PyTorch can improve job prospects in AI positions such as AI engineer or data scientist.
What cities near Berkeley, CA are hiring for Trainee Computer Science Artificial Intelligence jobs? Cities near Berkeley, CA with the most Trainee Computer Science Artificial Intelligence job openings:
Trainee Computer Science Artificial Intelligence jobs near you

Symbolic AI Specialist - Fully Remote | Upto $80/hr

Mercor

San Francisco, CA • Remote

$80/hr

Full-time

Re-posted 7 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Automated CS Planning PhDs & Domain Experts — Zion (Arches)
Type: Contract
Compensation: $55–$80/hour
Location: Remote

Role Responsibilities

  • Develop high-quality data for state-of-the-art large language models by creating complex problems in your domain.
  • Evaluate and improve AI model performance through rigorous problem-solving and data analysis.
  • Collaborate with AI research teams to enhance the quality and applicability of training data.
  • Work independently and asynchronously to meet project deadlines and goals.
  • Provide expert insights into automated planning and symbolic AI to inform future AI innovations.

Qualifications

Must-Have

  • PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research.
  • Focus on automated planning / symbolic AI.
  • High attention to detail.
  • Exceptional written and verbal communication skills.

Interview Process

  • Complete a short interview and task (20–30 mins).
  • Paid for up to 1 hour of onboarding time including videos if hired.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.