ZipRecruiter

Log In

2

Ai Engineer Remote Internship Jobs in California

YO AI Labs

AI Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Twenty80 LLC

AI Engineer

San Mateo, CA · Remote

... AI Engineers (Enterprise) to help design, build, and deploy production-grade generative AI ... Remote-friendly within the United States * Preference for candidates located near major East or ...

YO AI Labs

AI/ML Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI/ML Software Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

TEKsystems

AI Engineer

San Diego, CA · Remote

$50 - $58/hr

Remote AI/ML Software Engineer, Generative AI Are you passionate about building Generative AI systems that move beyond prototypes and create real business impact? A leading healthcare technology ...

YO AI Labs

Backend Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

Backend Engineer - Remote

San Francisco, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

Backend Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

Backend Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

Cargomatic

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

AI Engineer - Agentic Automation Location ... Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ...

Arize AI

Forward Deployed AI Engineer, West

San Francisco, CA · On-site +1

$155K - $190K/yr

While we are a remote-first company, the nature of this role requires candidates to be based in the ... ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating ...

previous pagenext page

Showing results 21-40

All JobsAi Engineer JobsAi Engineer Remote Internship JobsAi Engineer Remote Internship Jobs in California

Ai Engineer Remote Internship information

What is an AI Engineer remote internship?

An AI Engineer Remote Internship is a temporary, often entry-level position that allows students or recent graduates to gain practical experience working with artificial intelligence technologies while working remotely. Interns typically assist in developing, testing, and deploying machine learning models, as well as collaborating with teams on data analysis and AI-based solutions. Remote internships provide flexibility, allowing interns to work from any location while still gaining valuable industry experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an AI Engineer remote intern?

To thrive as an AI Engineer Remote Intern, you need a solid foundation in computer science, machine learning principles, and programming languages like Python, often demonstrated through relevant coursework or projects. Familiarity with tools such as TensorFlow, PyTorch, version control systems (e.g., Git), and cloud platforms like AWS or Google Cloud is typically expected. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These abilities enable interns to contribute meaningfully to AI projects, learn quickly, and collaborate efficiently despite the challenges of remote work.

How does an AI Engineer remote internship typically structure mentorship and collaboration given the virtual work environment?

Remote AI Engineer internships often use a combination of regular video check-ins, code reviews, and collaborative tools like GitHub and Slack to facilitate mentorship and teamwork. Interns are usually paired with a dedicated mentor or participate in a small project team, ensuring ongoing support and feedback despite the physical distance. Effective communication and proactive engagement are crucial, as interns may need to reach out regularly for guidance and share progress updates. This structure helps interns gain hands-on experience, develop problem-solving skills, and build professional relationships in a remote setting.

What are popular job titles related to Ai Engineer Remote Internship jobs in California?

For Ai Engineer Remote Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Remote Internship jobs in California look for?

The top searched job categories for Ai Engineer Remote Internship jobs in California are:

What cities in California are hiring for Ai Engineer Remote Internship jobs?

Cities in California with the most Ai Engineer Remote Internship job openings:

Ai Engineer Remote Internship jobs near you

AI Software Engineer - Remote

YO AI Labs

San Jose, CA • Remote

$80 - $120/hr

Full-time

Posted 11 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.