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Remote Auto Jobs in Texas (NOW HIRING)

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Remote Auto information

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$14

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$35

How much do remote auto jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote auto in Texas is $25.78, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $30.91 per hour, depending on experience, location, and employer.

What are remote auto jobs?

Remote auto jobs refer to roles within the automotive industry that can be performed from a remote location, often from home. These positions can include customer service representatives, auto insurance claims adjusters, technical support specialists, and automotive sales consultants. With advancements in technology, many automotive tasks that previously required on-site presence can now be managed online or over the phone. These jobs offer flexibility and allow employees to support customers, sales, or operations without being physically present at a dealership or office.

What is the difference between Remote Auto vs Remote Customer Service Representative?

AspectRemote AutoRemote Customer Service Representative
Required CredentialsDriver's license, auto industry knowledgeHigh school diploma, communication skills
Work EnvironmentAuto-related tasks, vehicle inspections, remote communicationCustomer support, phone/email/chat interactions
Employer & Industry UsageAuto dealerships, repair shops, insurance companiesRetail, tech companies, service providers
Common Search & Comparison IntentUnderstanding auto-related remote rolesCustomer support roles in remote settings

Remote Auto roles focus on vehicle-related tasks, requiring auto knowledge and sometimes a driver's license, often within the auto industry. Remote Customer Service Representatives handle customer inquiries across various industries, emphasizing communication skills. While both are remote positions, they serve different functions and industries, making it important to choose based on your skills and career goals.

What are the key skills and qualifications needed to thrive as a Remote Automotive Customer Service Representative, and why are they important?

To thrive as a Remote Automotive Customer Service Representative, you need strong customer service skills, knowledge of automotive products or services, and typically a high school diploma or equivalent. Familiarity with CRM software, call center platforms, and online communication tools is often required. Excellent communication, problem-solving, and organizational skills help you excel when addressing customer inquiries remotely. These abilities are crucial for delivering efficient support, ensuring customer satisfaction, and maintaining a positive brand reputation in a virtual environment.

What are some common challenges faced by professionals in remote automotive roles, and how can they be managed?

Professionals working in remote automotive roles often encounter challenges such as coordinating with on-site teams, accessing diagnostic tools, and maintaining clear communication with clients or colleagues. These challenges can be managed by developing strong digital communication skills, utilizing remote diagnostic software, and proactively scheduling regular check-ins with team members. Building a reliable workflow and leveraging cloud-based data sharing can also help ensure efficiency and accuracy when working away from a physical location.
What are the most commonly searched types of Auto jobs in Texas? The most popular types of Auto jobs in Texas are:
What cities in Texas are hiring for Remote Auto jobs? Cities in Texas with the most Remote Auto job openings:
Remote Auto jobs near you
Infographic showing various Remote Auto job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 4% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $53,628 per year, or $25.8 per hour.

Senior Software Engineer, Operation Platforms

Bot Auto

Houston, TX • Remote

$117K - $154K/yr

Other

Posted 8 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

We are seeking a highly skilled and motivated Senior Software Engineer, Operation Platforms to architect and build the platforms that run Bot Auto's autonomous trucking operations. Our Operation Platforms builds the intelligence and automation behind fleet scheduling, fleet management, fleet maintenance, mission control, remote assistance, IoT platform, business intelligence, and operational efficiency. Together, these platforms form a cyber-physical operating system that turns commercial freight into executable, monitored, and reconciled work. In this role, you will design the core object models, state machines, and services that coordinate Loads, Legs, Missions, and Trips across digital and physical domains, with clear authority boundaries, deterministic foundations, and room for agentic automation on top. As a hands-on technical leader, you will build operator-facing tools and backend services that move our fleet safely and efficiently in real-world commercial operations.

Key Responsibilities
  • Architect and build the core operation platforms - scheduler, dispatcher, vehicle console, ATC, and TMS - and the services that coordinate them.
  • Design durable object models, state machines, and lifecycle logic for the system's core entities (Load, Leg, Mission, Trip) and the structured events that connect them (e.g., execution impact events, mission closeout packages).
  • Establish clear authority boundaries between applications (a source-of-authority model), keeping the deterministic core reliable, traceable, and auditable while enabling probabilistic, agent-assisted automation on top.
  • Build real-time operator tooling and role-based views for dispatchers, remote assistants, technicians, and fleet managers - covering monitoring, mission control, exception handling, and remote assistance.
  • Develop backend services, APIs, and event-driven integrations that connect digital planning with the physical fleet, including the vehicle console at the edge.
  • Ensure safety-relevant workflows (e.g., launch authorization and dual-clearance, recovery and physical-takeover handoff) are correct, observable, and resilient.
  • Partner with autonomy, operations, product, and physical-layer teams to translate real operational workflows into dependable software.
  • Drive engineering excellence through system design, code quality, testing, observability, and mentorship.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
  • 5+ years of software engineering experience building backend services and/or full-stack applications in production
  • Strong software development skills in one or more languages: Python, Go, Java, or JavaScript/TypeScript
  • Experience designing distributed systems, data models, state machines, or workflow/lifecycle-driven applications
  • Solid understanding of APIs, databases, and event-driven architectures
Preferred Qualifications
  • Experience with operations-critical, mission-control, logistics, fleet management, TMS, dispatch/scheduling, or marketplace systems
  • Experience building real-time systems and operator-facing tools (live dashboards, command-and-control)
  • Familiarity with event-driven and streaming platforms (NATS, Kafka, MQTT, etc.) and modern frontend frameworks (React, TypeScript)
  • Experience with cloud platforms (AWS), containerization (Docker), and Kubernetes
  • Exposure to LLM/agentic automation and human-in-the-loop systems
  • Interest in autonomous systems, robotics, or cyber-physical systems
  • Strong product sense and the ability to collaborate closely with operations teams

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