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Remote Healthcare Software Developer Jobs in California

YO AI Labs

AI Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI Software Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI Software Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

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All JobsHealthcare Software Developer JobsRemote Healthcare Software Developer JobsRemote Healthcare Software Developer Jobs in California

Remote Healthcare Software Developer information

What is a remote healthcare software developer?

Remote healthcare software developers are professionals who design, build, and maintain software applications used in the healthcare industry, such as electronic health records, telemedicine platforms, and patient management systems, while working from a location outside of a traditional office setting. They collaborate with medical professionals and IT teams to ensure the software meets industry regulations and user needs. Their work helps improve patient care, streamline healthcare processes, and ensure data security and privacy. Remote positions allow these developers to contribute from anywhere, often using collaboration tools and secure access to healthcare networks.

What are the key skills and qualifications needed to thrive as a remote healthcare software developer?

To thrive as a Remote Healthcare Software Developer, you need strong programming skills (such as Python, Java, or .NET), experience with healthcare data standards (like HL7 or FHIR), and a degree in computer science or a related field. Familiarity with EMR/EHR systems, HIPAA compliance, and cloud platforms (such as AWS or Azure) is commonly required, along with relevant certifications like Certified Professional in Healthcare Information and Management Systems (CPHIMS). Excellent problem-solving abilities, proactive communication, and self-motivation are standout soft skills for remote collaboration and understanding complex healthcare workflows. These competencies are crucial to building secure, compliant, and reliable solutions that meet the unique demands of the healthcare industry while working effectively in a distributed team environment.

What are some common challenges faced by remote healthcare software developers, and how can they be addressed?

Remote healthcare software developers often encounter challenges such as maintaining effective communication with cross-functional teams (like clinicians, QA, and product managers) due to differing time zones and workflows. Additionally, ensuring compliance with healthcare regulations (such as HIPAA) and managing sensitive patient data securely can add complexity to development tasks. To address these challenges, it's important to establish clear communication channels, participate in regular virtual meetings, and stay updated on regulatory requirements. Leveraging secure development tools and following best practices for remote collaboration can also help maintain productivity and data integrity.

What is the difference between Remote Healthcare Software Developer vs Remote Healthcare Application Tester?

AspectRemote Healthcare Software DeveloperRemote Healthcare Application Tester
CredentialsProgramming certifications, healthcare IT knowledgeTesting certifications, QA training
Work EnvironmentDeveloping and coding healthcare software remotelyTesting and validating healthcare applications remotely
Employer & Industry UsageHealthcare tech companies, hospitals, telemedicine providersHealthcare software firms, QA service providers
Search & Comparison IntentBuilding healthcare software remotelyTesting healthcare apps remotely

Remote Healthcare Software Developers focus on designing and coding healthcare applications, while Remote Healthcare Application Testers specialize in validating and ensuring the quality of these applications. Both roles are essential in healthcare tech, often working together remotely to deliver reliable healthcare solutions.

What are the most commonly searched types of Healthcare Software Developer jobs in California?

The most popular types of Healthcare Software Developer jobs in California are:

What are popular job titles related to Remote Healthcare Software Developer jobs in California?

For Remote Healthcare Software Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Software Developer jobs in California look for?

The top searched job categories for Remote Healthcare Software Developer jobs in California are:

What cities in California are hiring for Remote Healthcare Software Developer jobs?

Cities in California with the most Remote Healthcare Software Developer job openings:

Remote Healthcare Software Developer jobs near you
Infographic showing various Remote Healthcare Software Developer job openings in California as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI Software Engineer - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 18 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.