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Remote Prototype Vehicle Test Driver Jobs (NOW HIRING)

Mondo

Full Stack Prototype Engineer

Manhattan, NY · Remote

Remote OR Hybrid NYC- either OK (EST working hours) Start Date Is: ASAP Duration: (contract, perm ... Write, rigorously test, and refine complex prompts and retrieval pipelines. You are expected to ...

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Remote Prototype Vehicle Test Driver information

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$15

$26

$50

How much do remote prototype vehicle test driver jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for remote prototype vehicle test driver in the United States is $26.11, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $27.64 per hour, depending on experience, location, and employer.

What are some unique challenges faced by Remote Prototype Vehicle Test Drivers, and how can they be managed?

Remote Prototype Vehicle Test Drivers often work with cutting-edge technology and unreleased vehicle models, which means dealing with unexpected software or mechanical issues is common. Communication with engineering teams is frequently done virtually, so maintaining detailed logs and providing clear feedback is crucial. Managing confidentiality and adhering to strict safety protocols are also essential aspects of the job. Building strong remote teamwork skills and staying adaptable to rapidly changing test scenarios can help drivers succeed in this unique environment.

What are Remote Prototype Vehicle Test Drivers?

Remote Prototype Vehicle Test Drivers are professionals who test experimental or pre-production vehicles, often working from remote locations or on closed test tracks. Their main role is to evaluate vehicle performance, identify issues, and provide feedback to engineers and designers before a vehicle goes to the mass market. They may conduct tests on handling, safety, electronics, and more, often documenting their findings in detailed reports. This position requires a high level of driving skill, technical knowledge, and attention to detail.

What is the difference between Remote Prototype Vehicle Test Driver vs Remote Vehicle Operator?

AspectRemote Prototype Vehicle Test DriverRemote Vehicle Operator
CredentialsDriving licenses, technical knowledgeDriving licenses, operational training
Work EnvironmentTesting labs, prototype vehicles, remote setupsRemote control centers, simulation platforms
Industry UsageAutomotive R&D, testing new prototypesAutonomous vehicle operation, fleet management

The Remote Prototype Vehicle Test Driver focuses on testing new vehicle prototypes, often in controlled environments, requiring technical driving skills. The Remote Vehicle Operator manages remote control systems for vehicles, typically in autonomous vehicle operations, emphasizing remote operation skills. Both roles involve vehicle handling but differ in environment and specific responsibilities.

What are the key skills and qualifications needed to thrive as a Remote Prototype Vehicle Test Driver, and why are they important?

To thrive as a Remote Prototype Vehicle Test Driver, you need a valid driver's license, a clean driving record, advanced driving skills, and a solid understanding of vehicle systems and mechanics. Familiarity with data logging equipment, vehicle diagnostics software, and sometimes certifications like ASE or specialized automotive training are typically required. Excellent attention to detail, strong communication, and the ability to follow precise instructions distinguish top performers in this role. These skills ensure accurate data collection, safe operation of experimental vehicles, and effective feedback for engineering teams during vehicle development.
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Remote Prototype Vehicle Test Driver jobs near you
Infographic showing various Remote Prototype Vehicle Test Driver job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $54,312 per year, or $26.1 per hour.
Full Stack Prototype Engineer

Full Stack Prototype Engineer

Mondo

Manhattan, NY • Remote

Contractor

Medical, Dental, Vision, Retirement

Posted 13 days ago

Job description

Job Title: Full Stack Prototype Engineer Location-Type: Remote OR Hybrid NYC- either OK (EST working hours) Start Date Is: ASAP Duration: (contract, perm, etc) 3 Month Contract (Can extend or potentially convert to FTE) Compensation Range: 70-90$/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Not eligible for Visa sponsorship Job Description:

We're seeking a highly skilled and inventive Software Engineer to join the New A.I. Products & Platforms mission at one of our top clients. This pivotal team is dedicated to building and deploying the next generation of reader-facing, A.I.-driven experiences for one of the world's most reputable and trusted news organizations.

We are specifically looking for a "prototyper " — an engineer who possesses the ability to move with speed, build and ship tangible, high-quality products, and demonstrates a genuine, intuitive sense for what constitutes an excellent and engaging user experience. This role sits at the critical intersection of applied artificial intelligence and consumer product development. Your mission will be to transform emerging A.I. capabilities—including sophisticated language models, content embeddings, and semantic search techniques—into meaningful features that significantly enhance how readers Client, understand, and engage more deeply with our comprehensive and diverse content. It is crucial that you thrive within an organizational context characterized by a strong culture of editorial judgment, independence, and trust. This context is fundamental and will heavily shape the definition of "good " and "responsible " product development within this role. Candidates must have a proven track record of shipping production-ready features, a robust command of the modern web stack, and essential, real-world, hands-on experience building and deploying with Large Language Models (LLMs) in a production environment.

Key Responsibilities

  • Rapid Prototyping and Production Deployment: Lead the prototyping, iteration, and deployment of sophisticated reader experiences powered by LLMs and content embeddings. This work will be conducted collaboratively with fellow engineers and a diverse group of cross-functional peers (including product managers and designers) from early concept stages through to full production release.
  • Full-Stack Development: Execute development across the entire application stack, utilizing robust Node.js/TypeScript for the backend services, React for dynamic and responsive front ends, and integrating advanced A.I. capabilities seamlessly across both layers.
  • Net-New A.I. Feature Integration: Build entirely new A.I. features and integrate them carefully into existing systems and APIs. A key component of this will be exercising sound judgment in determining when to build a component from scratch versus cleanly wiring together and leveraging established infrastructure.
  • Prompt Engineering as a Core Discipline: Write, rigorously test, and refine complex prompts and retrieval pipelines. You are expected to treat prompt engineering not as a minor task but as a first-class engineering discipline, vital for the success of A.I.-powered features.
  • Data-Driven Iteration: Thoroughly instrument all new features with comprehensive evaluations, crucial engagement signals, and detailed performance monitoring. Actively utilize this data to drive continuous improvement and optimization of the features.
  • Cross-Functional Collaboration: Work in close partnership with product managers, UX designers, journalists, and senior engineers to effectively translate complex editorial and journalistic goals into viable, high-quality working products.
  • Shaping Best Practices: Actively contribute to developing and maintaining shared organizational practices around feature evaluation, responsible A.I. usage, and defining what "good " product development looks like within an organization where editorial judgment and institutional independence are paramount and non-negotiable.

Minimum Requirements

  • Experience: 5-8 years of demonstrated, hands-on software engineering experience with a clear and established ability to ship impactful, consumer-facing features.
  • LLM Production Experience: Essential, hands-on experience building with Large Language Models within a real product context—going significantly beyond mere side projects or proof-of-concepts.
  • Full-Stack Command: Strong fundamental knowledge of the full web stack: demonstrated proficiency with Node.js or TypeScript on the backend and deep experience with React on the front end.
  • Technical Adaptability: Comfort and confidence navigating and contributing to unfamiliar or complex codebases and effectively working within established, often large-scale, backend infrastructure.
  • Product Instinct: A strong, innate product instinct; the ability to consistently think first and foremost about the end-user experience, not simply the technical implementation details.

Preferred Qualifications

  • System Integration Versatility: Experience working across both "greenfield " product development (building entirely new systems) and the challenging but rewarding integration with legacy systems or third-party APIs.
  • Python Proficiency: Additional backend experience in Python, particularly for building robust data pipelines, machine learning model integrations, or other data-intensive tasks.
  • Search and Personalization Expertise: Specific experience with advanced concepts such as semantic search, embedding-based retrieval systems, or sophisticated content personalization platforms.
  • Agentic Software Development: Experience building "agentic " software—systems where models are designed to plan, take actions, or operate across multiple, sequential steps; in this area, the complexity of the systems you've built matters more than mere professional tenure.
  • Evaluation and Testing Frameworks: Familiarity with evaluation frameworks tailored for A.I. features or significant experience with A/B testing methodologies in the context of machine learning applications.
  • Trust-Sensitive Product Background: A professional background working in complex, highly trust-sensitive product environments where deep editorial or institutional judgment fundamentally shapes the product development and release process.
  • Curiosity and Passion: A strong curiosity about the field of journalism and a genuine interest in the evolving future of how people consume and interact with information.