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Remote Coffee Machine Technician Jobs (NOW HIRING)

ManTech International

Remote Support Technician

Mclean, VA · On-site +1

$66K - $109K/yr

MANTECH seeks a motivated, career-oriented, and customer-focused Remote Support Technician to join ... Occasionally move about inside the office to access file cabinets, office machinery, or to ...

ManTech International

Remote Support Technician

Mclean, VA · On-site +1

$75K - $125K/yr

MANTECH seeks a motivated, career-oriented, and customer-focused Remote Support Technician to join ... Occasionally move about inside the office to access file cabinets, office machinery, or to ...

Tormach Inc

Field Service Technician

Madison, WI · Remote

... REMOTE open position for a Field Service Tech! We are a 100% employee-owned CNC Machine Tool ... Position Overview The Field Service Technician supportsTormach customers through onsite ...

ProMach

Field Service Technician-Remote

Charlotte, NC · On-site +1

Our field service team specializes in keeping our machine performance strong. Our team is dedicated ... We are seeking a remote Field Service Technician to join our aftermarket team with our NJM brand.

Sbdinc

$67K - $108K/yr

Field Service Technician - Industrial Bandsaws - Remote Pennsylvania, US Come build your career. It ... Utilize SFDC to collect and maintain data about products, machines, materials, end users, and ...

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Remote Coffee Machine Technician information

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$15

$24

$34

How much do remote coffee machine technician jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote coffee machine technician in the United States is $24.58, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $29.09 per hour, depending on experience, location, and employer.

What is a Remote Coffee Machine Technician?

A Remote Coffee Machine Technician is a professional who diagnoses, troubleshoots, and sometimes repairs coffee machines from a remote location, often using digital tools or providing guidance to on-site personnel. They may assist customers and businesses via phone, video calls, or specialized software to resolve issues without needing to be physically present. This role often involves strong technical knowledge of coffee machine models, excellent communication skills, and the ability to walk users through repairs. In some cases, they may remotely monitor machine performance and schedule maintenance before problems occur. This job is ideal for those with technical aptitude and a passion for customer service.

What are the key skills and qualifications needed to thrive as a Remote Coffee Machine Technician, and why are they important?

To thrive as a Remote Coffee Machine Technician, you need strong mechanical and electrical troubleshooting skills, experience with coffee machine maintenance, and relevant technical certifications such as HVAC or appliance repair. Familiarity with diagnostic software, remote support tools, and manufacturer-specific maintenance systems is often required. Excellent problem-solving abilities, clear communication, and customer service skills help technicians effectively guide clients and resolve issues remotely. These skills are vital for delivering efficient, high-quality support that minimizes downtime and ensures client satisfaction in a remote work environment.

What is the difference between Remote Coffee Machine Technician vs On-site Coffee Machine Technician?

AspectRemote Coffee Machine TechnicianOn-site Coffee Machine Technician
CertificationsTechnical certifications in coffee equipment and troubleshootingSame as remote, often requiring hands-on training
Work EnvironmentRemote diagnostics, virtual support, remote troubleshootingPhysical repair, installation, and maintenance at client locations
Employer & Industry UsageService providers, coffee equipment companies offering remote supportCoffee shops, restaurants, and commercial clients requiring on-site service

The main difference between a Remote Coffee Machine Technician and an On-site Coffee Machine Technician lies in their work environment. Remote technicians diagnose and troubleshoot issues virtually, while on-site technicians perform physical repairs and maintenance at client locations. Both roles require similar certifications and industry knowledge, but their daily tasks and work settings differ significantly.

What are some common challenges faced by Remote Coffee Machine Technicians, and how are they typically addressed?

Remote Coffee Machine Technicians often encounter challenges such as troubleshooting complex equipment issues without being physically present, guiding clients through repairs over video or phone calls, and coordinating with on-site staff for parts replacement. To address these, technicians rely heavily on clear communication, detailed documentation, and remote diagnostic tools. Many employers also provide ongoing training and access to virtual support teams to help technicians resolve issues efficiently and maintain high customer satisfaction.
More about Remote Coffee Machine Technician jobs
What cities are hiring for Remote Coffee Machine Technician jobs? Cities with the most Remote Coffee Machine Technician job openings:
What are the most commonly searched types of Coffee Machine Technician jobs? The most popular types of Coffee Machine Technician jobs are:
What states have the most Remote Coffee Machine Technician jobs? States with the most job openings for Remote Coffee Machine Technician jobs include:
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Remote Coffee Machine Technician jobs near you
Infographic showing various Remote Coffee Machine Technician job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $51,127 per year, or $24.6 per hour.
Machine Learning Engineer, PhD Intern (Fall)

Machine Learning Engineer, PhD Intern (Fall)

Instacart

Remote

Internship

Re-posted 15 days ago

Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

29th of 63 rated delivery companies

Job description

We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we're building the team to help push our shopping cart forward. If you're ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There's no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work-whether it's from home, an office, or your favorite coffee shop-while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
OVERVIEW
Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.
Machine learning is central to how we build intelligent shopping experiences at Instacart. We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. A few examples:
  • We build state-of-the-art models powering Search, Discovery, and Ads, combining generative AI and traditional machine learning to create best-in-class recommendations
  • We build rich product and knowledge graphs from catalog data imported from hundreds of retailers, applying them in recommendations and other user experiences
  • We redefine traditional domains across the company with AI, such as hyperpersonalized marketing and 0 → 1 meal planning products

We are looking for talented Ph.D. students to join our fast-moving ML teams and work on high-impact problems at the intersection of LLM research, large-scale ML systems, and real-world e-commerce applications.
ABOUT THE JOB
Based on your passion and background, you may choose to work in a few different areas:
  • Query understanding: Using cutting-edge AI and LLM-based techniques to understand user intent, refine queries, and support downstream retrieval and ranking.
  • Search relevance and ranking: Improving search relevance by incorporating signals from user behavior, catalog knowledge, and generative models, including hybrid retrieval and ranking systems.
  • Generative recommendations: Pushing the boundaries of where generative and traditional models intersect across retrieval and ranking systems; developing scalable feedback and reward modeling approaches for closed-loop learning (RFT).
  • LLM evaluation and AIQA systems: Building LLM-based evaluation frameworks (e.g., LLM-as-a-Judge, self-critique) to improve the quality and reliability of generative and agentic systems.
  • Low-latency and scalable LLM systems: Researching techniques to deploy LLMs in high-traffic, latency-sensitive production environments, balancing quality, cost, and latency through cascading, distillation, and selective generation.
  • Knowledge graphs: Working on graph data management and knowledge discovery over one of the world's largest grocery catalogs, and integrating structured knowledge with LLM-based reasoning and natural language interfaces.
  • Sequence modeling: Building temporal models for user behavior prediction.

ABOUT YOU
Minimum Qualifications:
  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, Golang) and algorithmic skills.
  • Solid foundations in machine learning, algorithms, or optimization
  • Curious, self-motivated, and comfortable working on open-ended problems

Preferred Qualifications:
  • Ph.D. student at a top tier university in the United States
  • Hands-on experience with generative or traditional modeling frameworks (PyTorch, Tensorflow, vLLM)
  • Prior industry or research internship in machine learning or AI
  • Interest and experience in translating research ideas into scalable production systems

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Please read more about our benefits offeringshere.
For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ
$50-$50 USD
WA
$47.50-$47.50 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$44-$44 USD
All other states
$42-$42 USD

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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