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Entry Level Airbnb Customer Support Jobs (NOW HIRING)

Customer Support Specialist

Lehi, UT · On-site

$17 - $22.75/hr

... Airbnb, and Uber. Our marketplace is already flourishing in all 50 states and we're just getting ... support articles and through creating new customer success materials * Assist in mapping and ...

Customer Support Specialist

Lehi, UT

$17 - $22.75/hr

... Airbnb, and Uber. Our marketplace is already flourishing in all 50 states and we're just getting ... support articles and through creating new customer success materials * Assist in mapping and ...

Customer Support Specialist

Lehi, UT

$17 - $22.75/hr

... Airbnb, and Uber. Our marketplace is already flourishing in all 50 states and we're just getting ... support articles and through creating new customer success materials * Assist in mapping and ...

Provide both in-person and remote technical support to our customers. Assist with a wide range of ... Entry-level Tier 1 role supporting low- to medium-complexity issues. • Works under general ...

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Customer Support Technician

Jacksonville, FL · On-site

$17 - $23.25/hr

FDOT Job 2220 Customer Support Technician, Entry Level PR980346-R196880 Client: Florida Department of Transportation (FDOT) Work Location: FDOT Jacksonville Office Contract Duration:ASAP - June 30 ...

Customer Support Representative (Entry-Level) Company: Evo Marketing Industry: Residential Pest Control Employment Type: Hourly, Full-Time or Part-Time About Evo Marketing Evo Marketing supports ...

Customer Support Specialist

Orlando, FL · On-site

$16.75 - $22.75/hr

Customer Support Specialist (Entry-Level) Orlando, FL (On-Site - 5 Days/Week) Must have: 0-2 years of B2B customer service experience (retail, hospitality, call center, or SaaS) to be considered.

Customer Support Technician

Tallahassee, FL · On-site

$17.25 - $23.50/hr

Customer Support Technician Location: FL- Boca Raton Contract position Onsite Position Position ... Effective under pressure, with strong organizational and time-management skills. Entry-level Tier 1 ...

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Entry Level Airbnb Customer Support information

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$12

$19

$28

How much do entry level airbnb customer support jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for entry level airbnb customer support in the United States is $19.20, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.91 per hour, depending on experience, location, and employer.

Is Airbnb support a good first job?

Airbnb customer support roles are often suitable for entry-level candidates, offering opportunities to develop communication, problem-solving, and technical skills. These positions typically require basic computer proficiency and may involve shift work, making them accessible for those starting their careers in customer service.

What is the difference between Entry Level Airbnb Customer Support vs Entry Level Hospitality Customer Service?

AspectEntry Level Airbnb Customer SupportEntry Level Hospitality Customer Service
Required CredentialsHigh school diploma or equivalent; customer service skillsHigh school diploma or equivalent; communication skills
Work EnvironmentRemote or office-based; online platform interactionHotel, resort, or restaurant settings; face-to-face interaction
Employer & Industry UsageAirbnb, online rental platformHotels, resorts, hospitality industry
Search & Comparison IntentEntry level Airbnb support rolesEntry level hospitality support roles

Both roles involve customer service skills and similar credentials, but Airbnb Customer Support focuses on online platform assistance, while Hospitality Customer Service involves direct guest interactions in physical settings. The choice depends on whether you prefer remote work or in-person service in the hospitality industry.

What qualifications do you need for Airbnb support?

Entry level Airbnb customer support roles typically require strong communication skills, basic computer proficiency, and the ability to handle customer inquiries professionally. A high school diploma or equivalent is usually sufficient, and familiarity with the Airbnb platform or customer service tools can be beneficial.

How hard is it to get hired at Airbnb?

Entry level Airbnb customer support roles typically require good communication skills, problem-solving ability, and familiarity with online platforms. The hiring process often involves an application, interview, and sometimes a skills assessment, with competition varying based on location and experience level.

What is the average salary for Airbnb support?

The average salary for an entry-level Airbnb customer support representative typically ranges from $30,000 to $45,000 per year, depending on location and experience. These roles often require strong communication skills and familiarity with customer service tools but may not require prior industry experience.
More about Entry Level Airbnb Customer Support jobs
What cities are hiring for Entry Level Airbnb Customer Support jobs? Cities with the most Entry Level Airbnb Customer Support job openings:
What are the most commonly searched types of Airbnb Customer Support jobs? The most popular types of Airbnb Customer Support jobs are:
What states have the most Entry Level Airbnb Customer Support jobs? States with the most job openings for Entry Level Airbnb Customer Support jobs include:
Infographic showing various Entry Level Airbnb Customer Support job openings in the United States as of July 2026, with employment types broken down into 11% Full Time, 1% Part Time, 1% Contract, 83% Nights, and 4% Summer. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $39,926 per year, or $19.2 per hour.
Staff Machine Learning Engineer, Community Support Engineering

Staff Machine Learning Engineer, Community Support Engineering

Airbnb

San Francisco, CA • On-site, Remote

Other

Posted 19 days ago


Airbnb rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

16th of 21 rated holiday rentals


Job description

The Community You Will Join:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. 

The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. 

The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.

The Difference You Will Make:

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. 

You will build and leverage cutting edge AI technologies to transform Airbnb's customer service by delivering personalized, easy-to-use and proactive customer service experience. 

Many of the initiatives you'll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.

A Typical Day: 

  • Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
  • Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
  • Learn and share the latest AI/ML technologies with the team.

Your Expertise:

  • PhD/Master's degree, preferably in CS, or equivalent experience
  • 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems
  • Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
  • Experience with LLM driven chatbot and Agentic AI products would be a big plus
  • Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.


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