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Remote Ai Engineer Salary In Jobs in San Ramon, CA

YO AI Labs

AI Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Engineer - Remote

San Francisco, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

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 ... The estimated annual salary and variable compensation for this role is between $155,000 - $190,000 ...

Cargomatic

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ... Cargomatic is transforming the way goods move around every local node in the supply chain by ...

Tenex.AI Inc

Principal AI Engineer

San Jose, CA · On-site +1

Our team is composed of industry experts with deep experience in cybersecurity, automation and AI ... Competitive salary and benefits package. * A culture of growth and development, with opportunities ...

Fieldguide

AI Engineer

San Francisco, CA · Remote

$150K - $220K/yr

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs ... As an AI Engineer, you'll build Fieldguide's intelligence layer--agentic workflows, architectures ...

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 ...

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All JobsAi Engineer Salary In JobsRemote Ai Engineer Salary In JobsRemote Ai Engineer Salary In Jobs in San Ramon, CA

Remote Ai Engineer Salary In information

See San Ramon, CA salary details

$42.5K

$129.5K

$214K

How much do remote ai engineer salary in jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote ai engineer salary in in San Ramon, CA is $129,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $169,300.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Ai Engineer Salary In jobs in San Ramon, CA?

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

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Remote Ai Engineer Salary In jobs near you
Infographic showing various Remote Ai Engineer Salary In job openings in San Ramon, CA as of June 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $129,481 per year, or $62.3 per hour.

AI Engineer - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 13 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.