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Remote Ai Engineer Salary In Jobs in California (NOW HIRING)

Scout AI

Senior AI Engineer

Sunnyvale, CA · On-site +1

$122K - $168K/yr

The Role We're looking for a Senior or Staff AI Engineer to join the Fury Orchestration Team with a ... In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees. US Salary ...

NxT Level

Lead AI Engineer

San Francisco, CA · Remote

Remote / Flexible Employment Type: Full-time Focus: AI Agents, Enterprise Legal Tech, Contract ... Work directly with the founding team in a focused, high-impact product group * Architect, develop ...

NxT Level

Lead AI Engineer

San Francisco, CA · Remote

Remote / Flexible Employment Type: Full-time Focus: AI Agents, Enterprise Legal Tech, Contract ... Work directly with the founding team in a focused, high-impact product group * Architect, develop ...

Jade Global

Software AI Engineer

San Jose, CA · Remote

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key ... Participate in the full software development lifecycle, including testing, deployment, and ...

Transform Co

AI Engineer II (REMOTE)

Los Angeles, CA · Remote

$105K - $143K/yr

As an AI Engineer II, you will play a key role in transforming how we automate and optimize business processes. Leveraging self-service agent-building tools including low-code/no-code platforms and ...

New

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... Strong proficiency in Python; experience with Golang is a plus * Experience building and operating ...

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... Strong proficiency in Python; experience with Golang is a plus * Experience building and operating ...

Brain Gain Recruiting

Explainable AI Engineer

Palo Alto, CA · Remote

$122K - $165K/yr

Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts. We have built ... This is a remote position. USA, Nationwide. * You will have an opportunity to start as a contractor ...

Elicit

AI Engineer

Oakland, CA · On-site +1

Elicit radically increases the amount of good reasoning in the world. * For experts, Elicit pushes ... Compensation For all roles at Elicit, we use a data-backed compensation framework to keep salaries ...

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Remote Ai Engineer Salary In information

What is the difference between Remote Ai Engineer Salary In vs Data Scientist?

RoleAverage Salary RangeRequired CredentialsWork Environment
Remote Ai Engineer$80,000 - $140,000Bachelor's or higher in CS, AI, or related fields; experience with ML frameworksRemote, tech companies, startups
Data Scientist$75,000 - $135,000Bachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis toolsRemote, finance, tech, healthcare industries

Both roles require strong technical credentials and often similar work environments, but salaries for Remote Ai Engineers tend to be slightly higher due to specialized AI development skills. Understanding these differences can help job seekers target the right roles and salary expectations.

Can you work remotely as a remote AI engineer?

Yes, many AI engineering roles are available as remote positions, especially those focused on software development, data analysis, and machine learning model deployment. Remote AI engineers typically need strong programming skills in languages like Python, experience with cloud platforms, and effective communication tools to collaborate with teams. Availability of remote work depends on the employer and specific job requirements.

How much do remote AI engineers make?

Remote AI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch may command higher salaries. Compensation can also include benefits such as bonuses, stock options, and flexible schedules.

Is a remote AI engineer a high paying job?

Remote AI engineers typically earn high salaries due to the specialized skills required in machine learning, deep learning, and programming with tools like Python and TensorFlow. Compensation varies based on experience, location, and company, but generally, AI engineering is considered a well-paying role in the tech industry.

What are the most commonly searched types of Ai Engineer Salary In jobs in California?

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

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

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

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Remote Ai Engineer Salary In jobs near you
Infographic showing various Remote Ai Engineer Salary In job openings in California as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior AI Engineer

Scout AI

Sunnyvale, CA • On-site, Remote

$122K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Job description

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work.
The Role
We're looking for a Senior or Staff AI Engineer to join the Fury Orchestration Team with a deep passion for developing and deploying multimodal foundation models that power autonomous teams of robots. Your work will directly influence how our system reasons, plans, remembers and coordinates across multiple robots to accomplish long-horizon missions. Depending on your background and interests, you'll contribute across the stack: model training and evaluation, reinforcement learning, evaluation and simulation, reasoning and memory architectures, multi-agent coordination, and edge inference optimization. Expect to rapidly prototype ideas against rigorous evaluations, test ideas on real robotic mission rollouts, and break new ground as we create the first robotic foundation model for defense.
We're a startup. You'll be moving fast, context-switching daily, and helping define the culture and process as we go. You'll have substantial ownership, influence over technical direction, and the opportunity to help build the future of autonomous defense systems from the ground up.
Responsibilities
  • Design, train, and evaluate multimodal foundation models that enable multi-robot mission execution
  • Drive model development decisions including model architectures, data mixtures, curriculum design, and training recipes informed by rigorous experimentation
  • Curate and generate large-scale training datasets from both synthetic and real-world data engines
  • Develop memory, communication, planning, and tool-use capabilities for AI agents operating across teams of robots
  • Be obsessed with evaluation: design benchmarks, metrics, and testing methodologies that enable rapid iteration across the team
  • Build and improve simulation environments targeted for synthetic data generation, evaluation, and reinforcement learning
  • Translate foundational research into deployable, real-time perception and decision-making systems
  • Collaborate across engineering, robotics, and mission teams to integrate AI systems with onboard autonomy stacks
  • Conduct field trials and mission operations to validate system performance e under real-world constraints

Qualifications
  • 6+ years of hands-on experience building and deploying AI models, including 2+ years working with multimodal models or agentic AI systems
  • Proficiency in Python, PyTorch, and modern machine learning infrastructure
  • Experience training, finetuning, and evaluating large-scale deep learning models using distributed compute infrastructure
  • Demonstrated experience improving model performance through data curation, training strategy, evaluation design, and rigorous experimentation
  • Solid grasp of modern model training techniques including SFT, DPO, RLVR
  • Demonstrated ability to take research from prototype to product in fast-moving environments
  • BS, MS, or PhD in Computer Science, Engineering, Mathematics, Physics, or related technical field, or equivalent practical experience. Advanced graduate research in AI, robotics, or machine learning is a plus
  • Bonus: Experience building closed-loop simulation, evaluation, or reinforcement learning environments for agentic or physical AI systems
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities
  • Passion about defense of the United States and its allies
  • May be expected to obtain and hold a U.S. Top Secret security clearance

Why Join Scout
  • Work on the world's most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines
  • Be a core part of a team building the first defense-specific robotic foundation model
  • Collaborate with some of the top engineers in autonomy, AI, and national security
  • See your work deployed on real systems
  • Help define the future of intelligent defense systems
  • Backed by Draper Associates, Booz Allen Ventures, and other top investors

Benefits
  • Competitive compensation package including base salary and bonus
  • Meaningful equity
  • Premium medical, dental, and vision plans with $0 paycheck contribution
  • Competitive PTO and company holiday calendar
  • Catered lunch daily and fully stocked kitchen
  • EV charging
  • Relocation assistance (depending on role eligibility)

The stated salary range below represents an estimated base pay only and reflects consideration of multiple compensation factors. Final salary offers may differ depending on factors including, but not limited to, relevant experience or training background, specialized skills, and business needs. Most full-time positions also include highly competitive equity awards, which form part of Scout AI's overall compensation package. In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees.
US Salary Range
$200,000-$400,000 USD

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