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Remote Wireless Research Engineer Jobs in California

talentpluto

Research Engineer

San Francisco, CA · On-site +1

$140K - $250K/yr

Location: Remote (United States) Work Model: Remote Industry: AI training data infrastructure ... As a Research Engineer, you will build the automated systems that verify and assure data quality so ...

Mercor

ML Research Engineer - PhD

San Francisco, CA · Remote

$75 - $90/hr

Remote Commitment: 20+ hours/week Role Responsibilities * Attempt open-ended machine learning research tasks under a fixed time and compute budget. * Work independently in a sandboxed Linux ...

Tilda Research

We are based in India and USA and this position will be fully remote, working from home. You will ... world-class engineers, data scientists and clinical operations experts to reimagine the ...

Mercor

Network Engineer - Data Annotation

San Francisco, CA · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Proficiency in Wi-Fi/wireless technologies, including Cisco WLC , Aruba , Meraki , 802.1X/RADIUS ...

New

Mercor

Network Support Engineer - AI Trainer

San Diego, CA · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Proficiency in Wi-Fi/wireless technologies, including Cisco WLC , Aruba , Meraki , 802.1X/RADIUS ...

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Remote Wireless Research Engineer information

What does a remote wireless research engineer do?

A Remote Wireless Research Engineer is responsible for studying, designing, and developing new wireless communication technologies, often while working remotely. They analyze wireless signal protocols, optimize network performance, and contribute to advancements in areas such as 5G, IoT, or Wi-Fi. Their work may include running simulations, developing prototypes, and collaborating with other engineers to solve complex technical problems. These engineers play a key role in improving the reliability, speed, and security of wireless networks, enabling better connectivity for devices and users.

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

To excel as a Remote Wireless Research Engineer, a strong background in wireless communication principles, signal processing, and a degree in electrical engineering or a related field are essential. Familiarity with technical tools such as MATLAB, Python, wireless simulation platforms, and knowledge of protocols like 5G or Wi-Fi, as well as relevant certifications (e.g., CWNA), are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills distinguish top performers in this role. These competencies are vital for advancing wireless technology solutions, conducting independent research, and collaborating efficiently with distributed teams.

What are some common challenges faced by a remote wireless research engineer, and how can they be addressed?

One common challenge for Remote Wireless Research Engineers is ensuring effective collaboration with multidisciplinary teams while working remotely. Since much of the research involves coordination with hardware, software, and network specialists, clear communication and proactive updates are essential. Additionally, staying current with rapidly evolving wireless technologies and standards can be demanding, so regularly participating in virtual conferences and training is beneficial. Adopting collaborative tools and establishing routine check-ins helps maintain alignment and drive successful project outcomes.

What is the difference between Remote Wireless Research Engineer vs Wireless Systems Engineer?

AspectRemote Wireless Research EngineerWireless Systems Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science; knowledge of wireless protocolsBachelor's or Master's in Electrical Engineering, Computer Science; expertise in wireless systems
Work EnvironmentResearch labs, remote collaboration, R&D teamsDesign, testing, and deployment in labs or field
Employer & Industry UsageTech companies, research institutions, telecom firmsTelecom providers, hardware manufacturers, network providers
Search & Comparison IntentResearch, innovation, wireless protocol developmentSystem design, deployment, network optimization

The Remote Wireless Research Engineer focuses on developing new wireless technologies and protocols in research settings, often working remotely. In contrast, the Wireless Systems Engineer applies wireless knowledge to design, implement, and optimize wireless networks and systems. Both roles require similar educational backgrounds and industry experience but differ in their primary focus—research versus practical deployment.

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

The most popular types of Wireless Research Engineer jobs in California are:

What cities in California are hiring for Remote Wireless Research Engineer jobs?

Cities in California with the most Remote Wireless Research Engineer job openings:

Remote Wireless Research Engineer jobs near you

Research Engineer

talentpluto

San Francisco, CA • On-site, Remote

$140K - $250K/yr

Full-time

Re-posted 6 days ago

Job description

Location: Remote (United States)
Work Model: Remote
Industry: AI training data infrastructure
Compensation: $140K-$250K base, plus equity
About the Company
Our partner is a YC-backed company building a new kind of marketplace in the AI training data space. Rather than operating as a labor marketplace, they provide infrastructure that lets data producers transform their existing data into formats AI labs want and sell it directly to those labs. This democratized model unlocks far more high-value data sources, and the team is growing quickly to keep up with demand.
The Opportunity
This is the company's top hiring priority and a genuinely hard research problem. Because data flows through a decentralized marketplace, ensuring quality at scale is the single biggest bottleneck to growth. As a Research Engineer, you will build the automated systems that verify and assure data quality so that suppliers consistently deliver excellent data to buyers.
You will start by digging into the data manually to understand failure modes, then design systems to automate quality checks at scale, combining rule-based approaches with AI for fuzzier cases and human-in-the-loop review where it makes sense. This is fundamentally a research role focused on building automated systems, not manual QA.
Responsibilities
  • Identify data quality issues including inconsistencies, formatting problems, and ingestion challenges
  • Perform initial manual data quality review to deeply understand failure modes
  • Build systems to automate quality checks at scale using rule-based and AI-driven approaches
  • Design hybrid systems that balance automation with human-in-the-loop review where appropriate
  • Continuously improve verification methods as the data landscape and AI tooling evolve
Requirements
  • Deeply technical, with a strong learning slope and the ability to ramp quickly in a fast-moving field
  • Background in AI/ML engineering, or software engineering at an AI-focused company with visible data ingestion and processing experience
  • Ability to reason about likely data quality problems from first principles
  • Comfortable owning ambiguous, open-ended problems end to end
  • Comfortable working in person, full-time, in a San Francisco office
  • Bonus: experience working with noisy or unstructured data, or judgment on when to use automation versus human-in-the-loop review

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