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Remote Computer Science Apprenticeship Jobs in California

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

Decision Scientist II, Mobile

Santa Monica, CA ยท On-site +1

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Remote BigID SME

Los Angeles, CA ยท On-site +1

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Bachelor's degree in Computer Science, Information Security, or related field, or equivalent ...

Remote BigID SME

Los Angeles, CA ยท Remote

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Bachelor's degree in Computer Science, Information Security, or related field, or equivalent ...

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... B.S. in Computer Science or a related field, or equivalent professional experience * Proficiency ...

Showing results 21-40

Remote Computer Science Apprenticeship information

What is a remote computer science apprenticeship?

A Remote Computer Science Apprenticeship is a structured training program that allows individuals to learn computer science skills and gain real-world experience while working from a location outside of a traditional office, usually from home. Apprentices work under the guidance of experienced mentors, participate in projects, and develop both technical and soft skills relevant to the field. This model offers flexibility and accessibility, making it possible for people from various backgrounds or locations to enter the tech industry. Apprenticeships typically combine hands-on work with coursework or online learning, preparing participants for full-time roles in software development, IT, or related fields.

What are the key skills and qualifications needed to thrive as a remote computer science apprentice?

To thrive as a Remote Computer Science Apprentice, you need a foundational understanding of programming languages, algorithms, and data structures, often supported by coursework or relevant certifications. Familiarity with code collaboration tools like Git, integrated development environments (IDEs), and basic cloud services is typically expected. Strong problem-solving, self-motivation, and effective communication are crucial soft skills, especially when working remotely. These abilities ensure you can learn efficiently, contribute to projects, and collaborate with mentors and teams in a distributed work environment.

What are the main challenges faced by remote computer science apprentices, and how can they be addressed?

Remote computer science apprenticeships often come with unique challenges such as limited face-to-face interaction, difficulty in accessing immediate support, and the need for self-discipline in managing time and tasks. To address these, it's important to proactively communicate with mentors through scheduled video meetings, participate in online team discussions, and utilize project management tools to stay organized. Seeking feedback regularly and engaging with online communities can also help bridge the gap and create a supportive learning environment.

What is the difference between Remote Computer Science Apprenticeship vs Remote Software Developer?

AspectRemote Computer Science ApprenticeshipRemote Software Developer
Required CredentialsTypically no prior experience, some programs accept beginnersOften requires a degree or proven coding skills
Work EnvironmentTraining-focused, mentorship, learning phaseProject-focused, independent coding tasks
Employer & Industry UsageUsed by tech companies for entry-level trainingUsed by companies for ongoing development roles

The Remote Computer Science Apprenticeship is designed for beginners entering the tech industry, emphasizing training and mentorship. In contrast, a Remote Software Developer role involves applying skills to real projects, often requiring prior knowledge. While apprenticeships focus on learning, software developer positions are more about executing development tasks remotely.

What are the most commonly searched types of Computer Science Apprenticeship jobs in California?

The most popular types of Computer Science Apprenticeship jobs in California are:

What are popular job titles related to Remote Computer Science Apprenticeship jobs in California?

For Remote Computer Science Apprenticeship jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Apprenticeship jobs in California look for?

The top searched job categories for Remote Computer Science Apprenticeship jobs in California are:

What cities in California are hiring for Remote Computer Science Apprenticeship jobs?

Cities in California with the most Remote Computer Science Apprenticeship job openings:

AI Research Expert - Fully Remote | Upto $145/hr

Mercor

San Francisco, CA โ€ข Remote

$145/hr

Full-time

Posted 13 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: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)
Type: Contract
Compensation: $110–$145/hour
Location: Remote

Role Responsibilities

  • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
  • Review complex machine learning research for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in Machine Learning, Computer Science, AI, or a closely related field.
  • Published at least one main conference paper at ICML, NeurIPS, or ICLR.
  • Strong preference for candidates with 2+ publications at these venues.
  • Demonstrated experience conducting original ML research.

Preferred

  • Expertise in Reinforcement Learning (RL).
  • Experience with Meta-Learning.
  • Knowledge of Recursive Self-Improvement.
  • Familiarity with AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).

Start Date

  • Urgent; initial data/results expected Monday / Tuesday 27th July.

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.