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Remote Node Js Jobs in Long Beach, CA (NOW HIRING)

YO AI Labs

AI Software Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

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 ...

GMV

Full Stack Software Engineer - Remote

Los Angeles, CA · On-site +1

$140K - $160K/yr

Full Stack Software Engineer US Remote Offices in LosAngeles & Houston Mid-Level Role (5+ years of experience) Compensation: $140k - $160k base + bonus + benefits * Did you ever wonder how thousands ...

PTP

Senior IVR Developer - REMOTE

CA · On-site +1

$58.25 - $77/hr

PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Senior IVR Developer to help us design and deliver CX solutions ...

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Remote Node Js information

See Long Beach, CA salary details

$11

$61

$87

How much do remote node js jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote node js in Long Beach, CA is $61.23, according to ZipRecruiter salary data. Most workers in this role earn between $51.83 and $66.97 per hour, depending on experience, location, and employer.

What is a remote Node Js?

A Remote Node.js job involves developing server-side applications and APIs using Node.js while working from a remote location. Responsibilities typically include building scalable backend systems, integrating databases, and ensuring efficient application performance. Developers collaborate with teams using online tools, version control systems like Git, and cloud platforms. Remote Node.js roles require strong JavaScript skills, knowledge of frameworks like Express.js or Nest.js, and experience with databases such as MongoDB or PostgreSQL. These positions offer flexibility in work location and schedules while allowing developers to contribute to various projects.

What does a remote Node Js do?

A typical day for a Remote Node Js developer involves writing and maintaining backend code, reviewing pull requests, participating in daily standup meetings, and collaborating with frontend developers, product managers, or QA teams via communication tools like Slack or Zoom. You may also spend time troubleshooting bugs, optimizing performance, and integrating third-party services or APIs. While the work structure offers flexibility in scheduling, most teams value regular check-ins and timely progress updates. This environment allows you to take ownership of your tasks while staying closely connected with your team to deliver high-quality, scalable products.

What are the key skills and qualifications needed to thrive in a remote Node Js position?

To thrive as a Remote Node Js developer, you need a strong command of JavaScript (ES6+), Node.js frameworks such as Express.js, and experience integrating APIs and working with databases. Familiarity with tools like Git, cloud services (e.g., AWS, Azure), and modern CI/CD pipelines is typically required, and certifications in Node.js or cloud platforms can be advantageous. Effective remote collaboration, strong communication, and self-motivation are key soft skills for excelling in a distributed team environment. These competencies are crucial for delivering scalable backend solutions, adapting to evolving technologies, and ensuring smooth teamwork across time zones.

What are popular job titles related to Remote Node Js jobs in Long Beach, CA?

For Remote Node Js jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Remote Node Js jobs in Long Beach, CA look for?

The top searched job categories for Remote Node Js jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Remote Node Js jobs?

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Remote Node Js jobs near you
Infographic showing various Remote Node Js job openings in Long Beach, CA as of July 2026, with employment types broken down into 88% Full Time, 3% Part Time, and 9% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $127,359 per year, or $61.2 per hour.

Machine Learning Engineer - Remote

YO AI Labs

Los Angeles, CA • Remote

$80 - $120/hr

Full-time

Posted 9 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.