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Remote Micro Mobility Jobs (NOW HIRING)

eNett

Sr. Staff AI/ML Engineer

Boston, MA · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

eNett

Sr. Staff AI/ML Engineer

Portland, ME · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

LJB

Roadway Design Engineer

Charlotte, NC · On-site +1

$90K - $125K/yr

We are open to fully remote candidates who are located in North Carolina. Annual Compensation: $90 ... Micro Station, Geopak, and OpenRoads Designer (ORD) design software experience preferred. LJB ...

WEX

Sr. Staff AI/ML Engineer

Boston, MA · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

WEX

Sr. Staff AI/ML Engineer

Portland, ME · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

WEX

Sr. Staff AI/ML Engineer

Seattle, WA · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

WEX

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

eNett

Sr. Staff AI/ML Engineer

Dallas, TX · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

eNett

Sr. Staff AI/ML Engineer

Seattle, WA · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

eNett

Sr. Staff AI/ML Engineer

San Francisco, CA · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

WEX

Sr. Staff AI/ML Engineer

Dallas, TX · On-site +1

$220K - $255K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Build and expose AI functionality via RESTful APIs and micro-services architectures. * Champion ...

GRID Alternatives

Commercial Design Engineer

$80K - $85K/yr

... mobility options; workforce training and service-learning opportunities; and low-income solar ... Remote within the U.S, preferably west coast * Produce complete design packages for utility and AHJ ...

Hanger, Inc.

Cloud Security Engineer V

$57 - $76.25/hr

... of mobility and freedom. Could This Be For You? The Cloud Security Engineer V - remote is ... Architect and implement cloud-native security controls including network segmentation, micro ...

WEX

Staff Software Development Engineer, Web

OR · On-site +1

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Build and evolve shared component libraries and design-system assets used across multiple Mobility ...

WEX, Inc.

Staff Software Development Engineer, Web

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Build and evolve shared component libraries and design-system assets used across multiple Mobility ...

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Remote Micro Mobility information

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$29

$69

$92

How much do remote micro mobility jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for remote micro mobility in the United States is $69.11, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $80.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Micro Mobility Operations Specialist, and why are they important?

To thrive as a Remote Micro Mobility Operations Specialist, you need strong analytical abilities, logistical coordination skills, and familiarity with fleet management best practices, typically supported by relevant experience or a background in transportation or logistics. Proficiency with fleet management software, GPS tracking systems, and remote monitoring tools is essential. Excellent communication, problem-solving, and adaptability are key soft skills for collaborating with distributed teams and responding to dynamic operational challenges. These skills and qualities are crucial for ensuring efficient fleet operations, quick issue resolution, and a seamless user experience in the evolving micro mobility industry.

What are the main challenges faced by professionals working in remote micro mobility roles, and how can they be addressed?

Professionals in remote micro mobility roles often face challenges such as coordinating with distributed teams, managing real-time data from fleets across various locations, and troubleshooting operational issues without being physically present. Effective communication and leveraging technology platforms for fleet monitoring are essential for overcoming these obstacles. Regular virtual check-ins, strong documentation practices, and using remote diagnostic tools can help streamline operations and ensure efficient collaboration with both on-site and remote colleagues.

What is the difference between Remote Micro Mobility vs Remote Electric Vehicle Technician?

AspectRemote Micro MobilityRemote Electric Vehicle Technician
CredentialsBasic certifications in micro mobility devices, safety trainingCertifications in electric vehicle repair, electrical systems
Work EnvironmentFieldwork, customer locations, micro mobility hubsRemote diagnostics, online support, occasional on-site repairs
Industry UsageShared scooters, e-bikes, micro mobility servicesElectric vehicle maintenance, repair shops, fleet management

Remote Micro Mobility roles focus on operating, maintaining, and supporting micro mobility devices like e-scooters and e-bikes, often involving fieldwork. Remote Electric Vehicle Technicians specialize in repairing and servicing electric vehicles, typically requiring advanced electrical certifications. While both roles involve electric mobility, their work environments and skill requirements differ significantly.

What are remote micro mobility jobs?

Remote micro mobility jobs involve managing, supporting, or analyzing micro mobility services—such as e-scooters, e-bikes, and shared bicycles—from a location outside of the actual deployment area, often from home or a central office. These roles can include fleet management, customer support, data analysis, software development, and remote monitoring of devices. The goal is to ensure the smooth operation, safety, and efficiency of micro mobility services in various cities or regions. As the industry grows, remote roles are becoming more common, allowing companies to leverage global talent and operate more efficiently.
Infographic showing various Remote Micro Mobility job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $143,749 per year, or $69.1 per hour.

Sr. Staff AI/ML Engineer

eNett

Boston, MA • On-site, Remote

$220K - $255K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Job Description
Location:This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.

Team:AI Platform Engineering, WEX Inc.

About WEX and the AI Platform Team

At WEX, we're transforming how businesses operate by embedding advanced AI into our global payments and mobility platforms. The AI Engineering team enables product development groups across WEX to build, deploy, and scale AI-powered experiences quickly and safely. We're cloud-first, automation-driven, and passionate about building systems that make AI a core part of our products-reliably, securely, and at scale.

If you're excited by Large Language Models, Agentic AI systems, MLOps, and cutting-edge production pipelines-and you thrive in fast-moving teams where innovation meets real-world impact-this is the role for you.

What You'll Do

  • Lead the design, implementation, and production deployment of machine learning and AI-driven systems-including LLM-based and agentic applications.

  • Partner with AI platform and product engineering teams to integrate advanced AI capabilities into WEX's enterprise systems.

  • Design and maintain ML pipelines, from data ingestion to model deployment, ensuring scalability, observability, and reusability across teams.

  • Build and expose AI functionality via RESTful APIs and micro-services architectures.

  • Champion engineering best practices: CI/CD, infrastructure-as-code, testing automation, and continuous improvement.

  • Contribute to architectural decisions with a focus on security, compliance, and performance-especially in regulated industries such as payments and healthcare.

  • Collaborate cross-functionally with data scientists, ML engineers, and business stakeholders to align technical solutions with strategic goals.

What You'll Bring

  • 12+ years of professional software or ML engineering experience, with a track record of deploying production-grade AI systems.

  • Proficiency in Python and key machine learning frameworks (PyTorch, TensorFlow, or similar).

  • Strong working knowledge of core libraries (NumPy, Pandas, scikit-learn) and LLM development frameworks (LangChain, ADK, or similar).

  • Experience with cloud platforms (AWS preferred; Azure or GCP also valuable) and Infrastructure-as-Code tools like Terraform.

  • Deep familiarity with CI/CD pipelines and DevOps practices using GitHub Actions or similar platforms.

  • Demonstrated ability to operate in agile, collaborative, high-trust teams.

  • Bachelor's degree in Computer Science, Engineering, or a related discipline (Master's preferred).

  • Bonus: Experience in financial systems, data compliance, or building multi-tenant Agentic AI applications.

Why Join WEX

You'll work within a lean, high-impact engineering group that values curiosity, autonomy, and real-world problem-solving. We move fast but balance innovation with responsibility-because AI at WEX touches millions of businesses and end users.

Join us to help evolve intelligent systems that change how enterprises move money and make decisions.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $220,000.00 - $255,800.00

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