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Remote Biomedical Engineer Jobs in California (NOW HIRING)

$100K - $135K/yr

Provide on-site and remote technical support, training, and troubleshooting. Technical Interface ... S.) in Mechanical Engineering, Biomedical Engineering, Chemical Engineering, Manufacturing ...

AI/ML Engineer - Remote

San Francisco, CA ยท Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

AI/ML Engineer - Remote

Los Angeles, CA ยท Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Showing results 21-40

Remote Biomedical Engineer information

See California salary details

$40.5K

$93.6K

$138.2K

How much do remote biomedical engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote biomedical engineer in California is $93,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $114,500.00 per year, depending on experience, location, and employer.

What is a remote biomedical engineer?

A Remote Biomedical Engineer designs, develops, and maintains medical devices and healthcare technology while working from a remote location. They collaborate with healthcare professionals, manufacturers, and research teams to ensure the safety and efficiency of biomedical equipment. Responsibilities may include troubleshooting medical devices, conducting virtual testing, and ensuring regulatory compliance. Remote Biomedical Engineers use digital tools to analyze data, provide technical support, and contribute to advancements in healthcare technology. This role requires strong problem-solving skills, technical expertise, and effective communication to work with cross-functional teams remotely.

What are the key skills and qualifications needed to thrive as a remote biomedical engineer?

To thrive as a Remote Biomedical Engineer, you need a degree in biomedical engineering or a related field along with solid analytical, problem-solving, and project management skills. Familiarity with CAD software, medical device regulations (such as FDA or ISO standards), and experience with remote collaboration tools are highly beneficial. Excellent written and verbal communication, self-motivation, and adaptability are critical soft skills for working effectively without direct supervision. These abilities enable successful design, troubleshooting, and support of biomedical devices while collaborating remotely across multidisciplinary teams and meeting regulatory requirements.

What are the main challenges faced by remote biomedical engineers, and how can they be addressed?

Remote biomedical engineers often encounter challenges such as limited hands-on access to equipment, coordinating with geographically dispersed teams, and ensuring effective communication with stakeholders. To address these, engineers rely on virtual collaboration platforms, detailed documentation processes, and proactive engagement with both technical and non-technical colleagues. It's important to develop strong time-management habits and seek regular feedback to stay aligned with project goals. As remote work becomes more common, employers are increasingly providing advanced digital tools and resources to help remote biomedical engineers stay productive and connected.

What are the most commonly searched types of Biomedical Engineer jobs in California?

The most popular types of Biomedical Engineer jobs in California are:

What cities in California are hiring for Remote Biomedical Engineer jobs?

Cities in California with the most Remote Biomedical Engineer job openings:

Infographic showing various Remote Biomedical Engineer job openings in California as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $93,566 per year, or $45 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

San Francisco, CA โ€ข Remote

$100 - $200/hr

Part-time

Posted 23 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.