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Remote Rf Optimization Engineer Jobs in Los Angeles, CA

YO AI Labs

GPU Programmer - Remote

Los Angeles, CA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... You will apply your expertise in GPU programming, performance optimization, and C++ development to ...

YO AI Labs

GPU Programming Expert - Remote

Los Angeles, CA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... You will apply your expertise in GPU programming, performance optimization, and C++ development to ...

YO AI Labs

Backend Developer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

YO AI Labs

Frontend Developer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

Single Grain

Forward Deployed Marketer - SEO

Los Angeles, CA · Remote

$100K - $150K/yr

Coordinate writers, developers, analysts, and strategists with clear acceptance criteria. * Measure ... Work model and compensation This is a fully remote, full-time role. The compensation range is $100 ...

Future Engineers, LLC

Sr. Software Engineer

Burbank, CA · Remote

$80 - $120/hr

Platform optimization and load time optimization * Ability to interface with front-end developers ... This is a remote position and anticipated to be 10-20 hours per week. Only US-based developers will ...

YO AI Labs

AI Trainer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

Turnblock.io

Technical Lead Remote (Web3)

Los Angeles, CA · Remote

$100K - $250K/yr

... engineers and a Technical Product Manager. * Oversee the design, implementation, and optimization ... Fully Remote Work Environment * Opportunities for Career Growth * Collaborative Team of Top-Tier ...

YO AI Labs

AI Technical Trainer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

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Showing results 21-40

All JobsRf Optimization Engineer JobsRemote Rf Optimization Engineer JobsRemote Rf Optimization Engineer Jobs in Los Angeles, CA

Remote Rf Optimization Engineer information

See Los Angeles, CA salary details

$39.9K

$126.8K

$197.2K

How much do remote rf optimization engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote rf optimization engineer in Los Angeles, CA is $126,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $149,800.00 per year, depending on experience, location, and employer.

What is a remote RF optimization engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

What are the key skills and qualifications needed to thrive as a remote RF optimization engineer, and why are they important?

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by remote RF optimization engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What are popular job titles related to Remote Rf Optimization Engineer jobs in Los Angeles, CA?

For Remote Rf Optimization Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Remote Rf Optimization Engineer jobs in Los Angeles, CA look for?

The top searched job categories for Remote Rf Optimization Engineer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Remote Rf Optimization Engineer jobs?

Cities near Los Angeles, CA with the most Remote Rf Optimization Engineer job openings:

Remote Rf Optimization Engineer jobs near you

Full Stack Software Engineer - Remote

YO AI Labs

Los Angeles, CA • Remote

$80 - $120/hr

Full-time

Posted 8 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.