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Entry Level Airbnb Customer Service Jobs (NOW HIRING)

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If you are a motivated individual with a passion for client services, we encourage you to apply. Please note that this is an entry-level position, so no prior experience is required. However, strong ...

Be Seen First

If you are a motivated individual with a passion for client services, we encourage you to apply. Please note that this is an entry-level position, so no prior experience is required. However, strong ...

Be Seen First

We are seeking a highly motivated and detail-oriented Entry Level Operations Assistant to join our ... Customer Support: * Respond to internal and external inquiries in a timely and professional manner.

Be Seen First

We are seeking a highly motivated and detail-oriented Entry Level Operations Assistant to join our ... Customer Support: * Respond to internal and external inquiries in a timely and professional manner.

We work to improve both the supply and demand side of Airbnb's Stays, Experiences and Services ... partnerships, customer support and more. The Difference You Will Make: As an Engineer on the ...

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... Our internal customer teams deliver systems used by product engineers across backend, web, and ...

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Entry Level Airbnb Customer Service information

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$9

$18

$26

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

As of Jun 12, 2026, the average hourly pay for entry level airbnb customer service in the United States is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Airbnb Customer Service vs Entry Level Hotel Front Desk Agent?

AspectEntry Level Airbnb Customer ServiceEntry Level Hotel Front Desk Agent
Required CredentialsHigh school diploma or equivalent; customer service skillsHigh school diploma or equivalent; customer service skills
Work EnvironmentRemote or flexible; online communication with guestsOn-site at hotel; face-to-face guest interaction
Industry UsageShort-term rentals, sharing economy platformsHospitality, hotel industry
Common Search/ComparisonYesYes

Both roles require strong customer service skills and similar credentials. The main difference lies in the work environment: Airbnb customer service is often remote and online, while hotel front desk agents work on-site at hotels. Industry-wise, Airbnb roles are tied to the sharing economy, whereas hotel front desk positions are part of traditional hospitality. Understanding these differences helps job seekers choose the best fit for their skills and preferences.

More about Entry Level Airbnb Customer Service jobs
What cities are hiring for Entry Level Airbnb Customer Service jobs? Cities with the most Entry Level Airbnb Customer Service job openings:
What are the most commonly searched types of Airbnb Customer Service jobs? The most popular types of Airbnb Customer Service jobs are:
What states have the most Entry Level Airbnb Customer Service jobs? States with the most job openings for Entry Level Airbnb Customer Service jobs include:
Infographic showing various Entry Level Airbnb Customer Service job openings in the United States as of June 2026, with employment types broken down into 17% Locum Tenens, 8% Internship, 42% As Needed, 8% Temporary, 17% Contract, and 8% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,098 per year, or $18.8 per hour.
Machine Learning Engineer, Customer Support Engineering

Machine Learning Engineer, Customer Support Engineering

Airbnb

Remote

$162K - $186K/yr

Full-time

Posted 22 days ago


Airbnb rating

5.8

Company rating: 5.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

16th of 21 rated holiday rentals


Job description

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
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 Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.
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:
  • Champion 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 or Master's degree w/ 3+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field - or equivalent industry experience
  • Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks
  • Experience building Agentic AI systems - including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar)
  • Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices
  • Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and 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.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$162,000-$186,000 USD