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Remote Grubhub Delivery Driver Jobs (NOW HIRING)

Driver AI Inc.

Software Engineer - Backend

Austin, TX · On-site +1

$175K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As such, we take advantage of that which startups can excel: delivery speed, flexibility, and ... Remote or Austin, TX About the Role Our core innovation, the Driver Transpiler, treats software ...

Driver AI Inc.

Software Engineer - Backend

Austin, TX · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As such, we take advantage of that which startups can excel: delivery speed, flexibility, and ... Remote or Austin, TX About the Role Our core innovation, the Driver Transpiler, treats software ...

The Bergaila Companies

Remote Field Operator

Spring, TX · On-site +1

Valid driver's license and ability to pass any required background checks Ready to bring your field ... Apply now through Brooke to join a project delivering impactful results in the oil and gas industry!

The Bergaila Companies

Remote Field Operator

Valid driver's license and ability to pass any required background checks Ready to bring your field ... Apply now through Brooke to join a project delivering impactful results in the oil and gas industry!

Olé Mexican Foods, Inc.

Company Route Driver

$19 - $24.50/hr

Knowledge of DSD (Direct store Delivery) to Grocery stores including Chains and Independents ... Punctual and reliable. " This not a remote or hybrid position.

Driver AI Inc.

Applied Data Scientist, LLM Evaluation

Austin, TX · On-site +1

$175K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Driver builds the context layer for employees and AI agents alike to use in developing software ... Remote or Austin, Tx Our value is directly tied to the quality of our content at scale. The ...

ASPCA

REMOTE - Contingent Animal Relocation Driver

$25/hr

This is a remote position within the United States that requires travel as outlined below ... delivering the truck for maintenance.  Temporary Role Details: * This is a temporary, contingent ...

Cresta

Event Marketing Manager - East

OR · On-site +1

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... brand, deliver memorable experiences, and drive business results. Reporting to the Sr. Field ... a remote environment. * Lunches and dinners included for in-office employees via Grubhub ...

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Remote Grubhub Delivery Driver information

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How much do remote grubhub delivery driver jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote grubhub delivery driver in the United States is $18.45, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.19 per hour, depending on experience, location, and employer.

What is a remote Grubhub delivery driver?

A Remote Grubhub Delivery Driver is an independent contractor who delivers food orders from local restaurants to customers using their own vehicle. While the term 'remote' typically refers to working from home, in this context it means that drivers can choose their own locations and schedules, accepting delivery requests via the Grubhub app. Drivers are responsible for picking up orders at restaurants and delivering them promptly to customers' addresses. They earn money through base pay, tips, and occasional bonuses. This role offers flexibility and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote Grubhub delivery driver?

To thrive as a Remote Grubhub Delivery Driver, you need a valid driver’s license, a reliable vehicle, a clean driving record, and familiarity with local geography. Proficiency in using the Grubhub driver app, GPS navigation systems, and smartphone communication tools is essential. Strong time management, customer service, and problem-solving skills help drivers stand out in this role. These skills ensure timely, accurate deliveries and positive customer interactions, which are critical for driver ratings and overall success.

What are some common challenges faced by remote Grubhub delivery drivers and how can they be managed?

Remote Grubhub delivery drivers often face challenges such as navigating unfamiliar neighborhoods, managing variable order volumes during peak hours, and dealing with inclement weather. To succeed, drivers should use reliable GPS apps, plan efficient routes, and maintain open communication with both customers and Grubhub support. Staying organized and keeping a flexible schedule can also help drivers adapt to changing conditions and maximize their earnings.

What is the difference between Remote Grubhub Delivery Driver vs DoorDash Delivery Driver?

AspectRemote Grubhub Delivery DriverDoorDash Delivery Driver
Work EnvironmentPrimarily independent, flexible delivery from restaurants to customers, often using personal vehiclesSimilar independent delivery work, often using personal vehicles, with flexible hours
Required CredentialsValid driver’s license, vehicle insurance, background checkValid driver’s license, vehicle insurance, background check
Employer & Industry UsagePart of food delivery industry, partnered with restaurants and platforms like GrubhubPart of food delivery industry, partnered with restaurants and platforms like DoorDash

The main difference between a Remote Grubhub Delivery Driver and a DoorDash Delivery Driver lies in the platform they work for. Both roles require similar credentials, work environments, and industry usage, focusing on independent food delivery using personal vehicles. The choice often depends on the platform preference and available delivery opportunities.

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What cities are hiring for Remote Grubhub Delivery Driver jobs?

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What are the most commonly searched types of Grubhub Delivery Driver jobs?

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States with the most job openings for Remote Grubhub Delivery Driver jobs include:

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The top searched job categories for Remote Grubhub Delivery Driver jobs are:

Remote Grubhub Delivery Driver jobs near you
Infographic showing various Remote Grubhub Delivery Driver job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $38,383 per year, or $18.5 per hour.

Software Engineer - Backend

Driver AI Inc.

Austin, TX • On-site, Remote

$175K - $275K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 24 days ago

Job description

Software Engineer - Backend
Introduction
At Driver, we're building systems that turn source code into human language. The tech stack includes a core compiler-like engine, a heavily asynchronous/distributed backend server, and a frontend web application that provides a rich user experience. As a backend engineer, you will help scale and extend our backend, build new product functionality, and make sound architectural decisions that keep pace with a fast-growing system.
About Driver
We're an early-stage startup backed by Y Combinator and Google Ventures that combines first principles technical approaches and applied LLM expertise to tackle context engineering at scale. Driver builds the context layer for employees and AI agents alike to use in developing software.
Working at Driver
Driver is an early-stage but fast-growing startup. As such, we take advantage of that which startups can excel: delivery speed, flexibility, and enjoying working with a close-knit team.
Organizational and engineering values at Driver include first-principles thinking, correct by construction, writing things down, experimentation and iteration, pragmatism, commitment to effective communication and transparency, autonomy, and ambition.
Job Overview
Title: Software Engineer - Backend
Location: Remote or Austin, TX
About the Role
Our core innovation, the Driver Transpiler, treats software explanation as a compilation problem. Instead of emitting machine code, it emits human language.
The transpiler generates human language content at large volumes and highly variable levels of abstraction and requires significant asynchronous task orchestration due to the high volume of highly constrained LLM inference calls to external APIs.
Major established components of our backend today include the data model to support the compiler's content generation and coordination with codebase assets in version control system (VCS) providers like GitHub, containerized deployment in a distributed cloud service, and an internal API layer consumed by both our frontend and external integrations, and an MCP server that delivers our computed content to AI agents.
Key cross-functional interactions include coordinating with the transpiler team on data model and task orchestration, working with the DevOps and infrastructure team on distributed deployment and job execution, and collaborating with the frontend and product team on APIs and customer-facing MCP interfaces.
Key Responsibilities
  • Core backend work:
    • Contribute to building an efficient and scalable backend data model.
    • Build and maintain critical backend integrations (e.g., VCS providers).
    • Build and maintain the backend web server.
    • Design, build, and maintain internal APIs for our web application.
    • Build and maintain backend APIs for our Model Context Protocol (MCP) products.
    • Build foundations that scale.
  • Interface with the transpiler team on:
    • Efficient data model for transpiler content.
    • Asynchronous and distributed implementation for transpiler task orchestration.
  • Bring strong architectural instincts to the team:
    • Identify and address scalability, correctness, and maintainability risks early.
    • Write clean, well-structured code that is readable by both humans and LLMs.
    • Distinguish robust tests from fragile ones; build systems that are easy to verify.
  • Embrace AI-assisted development:
    • Use agentic coding tools as a core part of your workflow to accelerate delivery.
    • Apply your architectural judgment to validate, guide, and extend AI-generated code.
  • Interface with the frontend team on:
    • Co-design the internal API for the FE and important interface contracts.
    • The best way to model data communicated between BE and FE.
  • Interface with the DevOps/Infrastructure team on:
    • Distributed task orchestration implementation.
    • Container and distributed job implementation.
  • Communicate effectively with team members and across key team interfaces.
Qualifications
Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Experience: Minimum 3 - 5 years as a backend engineer. 7+ years experience preferred.
Required Technical Skills
  • Experience building and scaling backend systems, with a strong grasp of distributed systems fundamentals (queuing, consistency trade-offs, async task orchestration).
  • Proficient in Python; experience with at least one statically typed language (e.g., Rust, Go, Java, C++) and a strong grasp of data-structure-oriented design - you think carefully about types, contracts, and correctness, not just getting code to run.
  • Strong API design instincts: knows how to define clean, stable interfaces and contracts that are easy to consume and hard to misuse.
  • Strong experience with asynchronous programming paradigms.
  • Strong understanding of data model design, particularly for relational databases.
  • Strong instincts for architecture: knows what good looks like, can identify fragile code and tests before they become problems.
  • Experience building monitoring, logging, and testing in larger backend systems.
  • Experience building and maintaining REST APIs at scale.
  • Experience with task orchestration and distributed job queue technologies.
  • Actively embraces AI-assisted development - uses agentic coding tools as a productivity multiplier and is energized by, not resistant to, this shift in how software is built.

Preferred and Nice-to-Have Technical Skills
  • Experience building MCP-style service interfaces.
  • Experience with containerization and container orchestration (Docker, Kubernetes).
  • Experience with identity and access management (IdM) systems and integrations.
  • Experience working with LLM model APIs and agent toolchains; understanding of how context flows through an agentic system.
Why Join Driver
You'll work on technology at the intersection of language theory, compiler design, and generative AI, building systems that expand how both humans and machines understand code.
You'll also have an outsized impact: this is a core product role in a fast-growing company, where the things you build will directly shape how engineers and AI collaborate in the next decade.
Benefits
  • Competitive Compensation Packages - Cash & Equity
  • Flexible Work Culture
  • Unlimited Time Off + 12 Paid Company Holidays
  • Insurance - Health, Dental, & Vision
  • Life Insurance & FSA Accounts
  • 401(k) Retirement Accounts - Traditional, Roth, or Both
  • Quarterly Team Offsites

Driver is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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