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How much do remote internship iot jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote internship iot in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a remote internship in IoT?

A Remote Internship in IoT (Internet of Things) is a work experience program where interns contribute to IoT projects and tasks from a remote location, typically from their home, rather than physically attending an office. These internships allow students or recent graduates to gain practical skills in designing, programming, and managing IoT devices and systems while collaborating with teams online. Remote IoT interns often work on tasks such as developing software for smart devices, analyzing sensor data, or assisting in device connectivity and security. The flexibility of remote internships can help participants balance other commitments and access global opportunities.

What are the key skills and qualifications needed to thrive as a remote IoT intern?

To thrive as a Remote IoT Intern, you need a solid understanding of programming (such as Python or C++), basic electronics, and networking concepts, often supported by coursework or relevant project experience. Familiarity with IoT platforms (like Arduino or Raspberry Pi), cloud services (AWS IoT), and version control systems (Git) is typically expected. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for this role. These abilities help ensure you can contribute to projects, troubleshoot issues independently, and collaborate effectively in a distributed team environment.

What are some common challenges faced by interns during a remote IoT internship, and how can they be addressed?

Remote IoT internships often present challenges such as limited access to physical hardware, communication barriers with team members, and difficulty in troubleshooting device issues from afar. To overcome these, interns are encouraged to use IoT simulation tools, actively participate in virtual meetings, and document their work clearly for feedback. Building strong communication habits and seeking mentorship from experienced team members can also help interns stay engaged and successfully contribute to projects.
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Remote Internship Iot jobs near you
Infographic showing various Remote Internship Iot job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Junior / Mid-Level Full-Stack Platform Engineer (Remote)

Austin, TX • Remote

Urrly
See more jobs at Urrlyexternal

$90K - $130K/yr

Full-time

Re-posted 13 days ago

Job description

Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.

Junior / Mid-Level Full-Stack Platform Engineer

Location: Remote/distributed in the United States; Austin / San Antonio preferred

Company: Confidential biometric health technology company

Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles

Opportunity

We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.

This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.

The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.

Why People Lean In
  • Real platform work in biometric health technology, not toy internal tools.
  • Direct exposure to AI-forward infrastructure, data pipelines, APIs, and SDKs.
  • Mentorship from senior technical leaders while still owning meaningful build work.
  • A lean startup environment where strong early-career engineers can grow quickly.
  • Remote/distributed setup, with Austin / San Antonio preferred but not required.
  • $90,000-$130,000 base salary for the right early-career or junior/mid-level profile, with additional flexibility for exceptional profiles.
What You Will Do
  • Build and improve full-stack platform features across frontend, backend, APIs, SDKs, and data systems.
  • Write Python- or Go-backed services and work with JavaScript or TypeScript on product-facing surfaces.
  • Support data pipelines and platform workflows that connect biometric data, enterprise systems, and AI-facing infrastructure.
  • Collaborate with senior engineers on architecture, implementation, deployment, and technical tradeoffs.
  • Ship clean, reliable code in a compliance-aware environment.
  • Debug production-adjacent issues, reason through data flow, and improve the platform over time.
  • Move quickly without waiting for every detail to be prescribed.
What You Bring
  • Hands-on full-stack software engineering experience from a professional role, internship, startup, open-source work, or substantial shipped project.
  • Strong Python or Go skills.
  • Experience building backend services, APIs, SDKs, or data pipelines.
  • Practical frontend experience, especially JavaScript or TypeScript.
  • Solid fundamentals in Git, testing, debugging, deployment, interfaces, and data flow.
  • Comfort working in a lean startup where priorities move quickly.
  • Ability to communicate tradeoffs clearly and learn from senior engineers.
  • Willingness to complete a live coding assessment.

Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.

Nice To Have
  • Depth across both Python and Go.
  • AI/ML, AI tooling, data infrastructure, or model-facing platform exposure.
  • Health tech, wearables, biometric data, IoT, or device-connected software experience.
  • HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience.
  • Austin, San Antonio, or broader Texas location.
  • Strong science, engineering, computer science, or systems-oriented background.
What Success Looks Like
  • You learn the existing platform quickly and start shipping useful work.
  • You can own well-scoped full-stack, API, SDK, backend, or data-pipeline tasks from definition through deployment.
  • You ask good questions, communicate tradeoffs, and avoid getting stuck quietly.
  • You write code that is simple, testable, and maintainable.
  • You grow quickly with mentorship while still taking real ownership.
  • You bring curiosity about AI-enabled engineering without needing to be a pure AI researcher.
Additional Details

This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.

The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.

Equal Opportunity Statement

Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.

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