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Remote Code Review Jobs in Santa Clara, CA (NOW HIRING)

YO AI Labs

AI/ML Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Experience with rigorous code reviews and software engineering best practices . * Experience working effectively in remote or cross-functional teams. Hiring Process * Submit an application and ...

VIVA USA INC

AI Workflow Engineer

San Jose, CA · On-site +1

Remote AI Workflow Engineer (Silicon Engineering Productivity) Overview We are seeking a contract ... code review o debug assistance o project tracking o engineering reporting • Build proof-of ...

Fortinet

Principal AI Security Engineer

Sunnyvale, CA · On-site +1

Work closely with development teams, conduct code reviews, perform AI Red Teaming assessments, to ... Remote or hybrid arrangements are not available for this role. About Our Team: Join our team, known ...

CoorsTek

AI Deployment Engineer

Fremont, CA · On-site +1

Salary range is subject to location, as this role can be remote. Roles and Responsibilities ... Review and validate AI-generated code for correctness, security, maintainability, performance, and ...

New

CoorsTek

AI Deployment Engineer

San Jose, CA · On-site +1

Salary range is subject to location, as this role can be remote. Roles and Responsibilities ... Review and validate AI-generated code for correctness, security, maintainability, performance, and ...

New

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All JobsCode Review JobsRemote Code Review JobsRemote Code Review Jobs in Santa Clara, CA

Remote Code Review information

What is a remote code review?

A remote code review is the process of examining and evaluating someone’s code from a different location, often using online tools or platforms. This allows software developers to review code changes, suggest improvements, and detect bugs without being physically present with the author. Remote code reviews help ensure code quality, maintain consistency, and foster collaboration within distributed teams. Tools like GitHub, GitLab, and Bitbucket are commonly used to facilitate remote code reviews through features like pull requests and inline comments.

What are the main challenges faced by professionals in remote code review roles, and how can they be addressed?

One of the main challenges in remote code review roles is effective communication—conveying feedback clearly and constructively without face-to-face interaction. Additionally, understanding the context of code changes and ensuring consistency with team standards can be harder when working remotely. These challenges can be addressed by establishing clear review guidelines, utilizing collaborative tools like code review platforms, and maintaining regular virtual check-ins with the development team. Building strong documentation and participating in team discussions also help remote code reviewers stay aligned with project goals.

What are the key skills and qualifications needed to thrive as a remote code reviewer, and why are they important?

To thrive as a Remote Code Reviewer, you need expert knowledge of programming languages, software development best practices, and extensive experience with code review processes. Familiarity with version control systems like Git and code review tools such as GitHub, GitLab, or Bitbucket is typically required. Strong attention to detail, effective written communication, and the ability to provide constructive feedback are crucial soft skills in this role. These skills ensure code quality, foster team collaboration, and help maintain reliable and maintainable software in distributed work environments.

What is the difference between Remote Code Review vs Remote Software Developer?

AspectRemote Code ReviewRemote Software Developer
Required CredentialsKnowledge of coding standards, version control, and code analysis toolsProgramming skills, relevant certifications, and development experience
Work EnvironmentPrimarily reviewing code remotely, often as part of a team or projectDesigning, coding, testing, and deploying software remotely
Employer & Industry UsageTech companies, software firms, open-source projectsTech companies, startups, enterprise software firms
Search & Comparison IntentUnderstanding roles related to code quality and review processesRoles involving software development and programming tasks

Remote Code Review focuses on evaluating and improving code written by developers, requiring knowledge of coding standards and review tools. Remote Software Developers actively create and implement software solutions, requiring programming expertise. Both roles are common in tech industries and often collaborate, but they differ in responsibilities and skill sets.

What are the most commonly searched types of Code Review jobs in Santa Clara, CA?

The most popular types of Code Review jobs in Santa Clara, CA are:

What are popular job titles related to Remote Code Review jobs in Santa Clara, CA?

For Remote Code Review jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Code Review jobs in Santa Clara, CA look for?

The top searched job categories for Remote Code Review jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Code Review jobs?

Cities near Santa Clara, CA with the most Remote Code Review job openings:

Remote Code Review jobs near you
Infographic showing various Remote Code Review job openings in Santa Clara, CA as of July 2026, with employment types broken down into 37% Full Time, 42% Part Time, and 21% Contract. Highlights an 100% Remote job distribution.

Full Stack Software Engineer - Remote

YO AI Labs

San Jose, CA • Remote

$80 - $120/hr

Full-time

Posted 11 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.