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Remote Entry Level Ai Engineer Jobs in California

Mercor

MLOps Engineer - AI Trainer

San Francisco, CA · Remote

$70 - $110/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML ...

Mercor

Fraud Engineer - AI Specialist

San Francisco, CA · Remote

$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex fraud and risk engineering tasks. * Review model-generated implementations involving fraud detection ...

Sanity

Senior Software Engineer, AI Growth

San Francisco, CA · On-site +1

$144K - $190K/yr

Sanity MCP Server - our remote MCP server, now generally available and listed as one of eight ... let AI agents interact deeply with Sanity's content platform. * Build agentic developer tools ...

Mercor

ML Systems Engineer - AI Trainer

San Francisco, CA · Remote

$70 - $110/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML ...

Single Grain

AI Automation Engineer

Los Angeles, CA · Remote

We are fully remote, and we operate as an AI-native team: every role at Single Grain is expected to ... We're hiring an AI Automation Engineer to find inefficiencies across the company and eliminate them ...

1mind

AI System Engineer

San Francisco, CA · On-site +1

$175K - $250K/yr

... for an AI Systems Engineer to design and build the technical foundation powering 1mind ... San Francisco preferred, open to remote (U.S.) Employment Type: Full-time [Please note that all ...

NxT Level

Senior Tools Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

Our client is looking for a Tools Programmer to join their fully remote team to build next ... Knowledge of AI programming in game environments. * Knowledge of Voxel Systems * Previous work on ...

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Remote Entry Level Ai Engineer information

What is a remote entry level AI engineer?

A Remote Entry Level AI Engineer is a professional who works from a remote location to help develop, test, and implement artificial intelligence (AI) systems and models. They typically support more experienced engineers by writing code, analyzing data, and assisting with machine learning tasks. Entry level roles often require basic programming skills (such as Python), familiarity with AI frameworks, and a passion for learning new technologies. Working remotely allows for flexibility, but it also requires good communication and self-management skills. This role is ideal for recent graduates or those transitioning to AI engineering from related fields.

What are the key skills and qualifications needed to thrive as a remote entry level AI engineer?

To thrive as a Remote Entry Level AI Engineer, you need a solid understanding of programming languages (like Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for excelling in a remote setting. These skills ensure you can contribute meaningfully to AI projects, learn quickly in a rapidly evolving field, and collaborate efficiently with distributed teams.

What are the typical collaboration methods for remote entry level AI engineers working on distributed teams?

Remote entry-level AI engineers usually collaborate with team members through a mix of video conferencing, instant messaging, and shared project management tools. You'll often participate in daily stand-ups, code reviews, and brainstorming sessions using platforms like Slack, Zoom, or Microsoft Teams. Version control systems such as GitHub or GitLab are essential for coordinating code contributions. Building strong communication skills is important, as you'll need to clearly articulate ideas and ask questions despite not being physically present with your colleagues.
What are popular job titles related to Remote Entry Level Ai Engineer jobs in California? For Remote Entry Level Ai Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Ai Engineer jobs in California look for? The top searched job categories for Remote Entry Level Ai Engineer jobs in California are:
What cities in California are hiring for Remote Entry Level Ai Engineer jobs? Cities in California with the most Remote Entry Level Ai Engineer job openings:
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Infographic showing various Remote Entry Level Ai Engineer job openings in California as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

MLOps Engineer - AI Trainer

Mercor

San Francisco, CA • Remote

$70 - $110/hr

Full-time

Re-posted 15 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: JAX Expert
Type: Contract
Compensation: $70–$110/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
  • Design challenging, domain-relevant tasks and write accurate, well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with JAX at scale.
  • Experience writing or optimizing custom GPU kernels using Pallas or Triton.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

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.


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