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Airbnb Translation Jobs (NOW HIRING)

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

... AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ... Experience in translation is an added bonus * Hands-on experience building and experimenting with ...

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

... AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ... Experience in translation is an added bonus * Hands-on experience building and experimenting with ...

AI Automation Lead

San Francisco, CA · Hybrid

$175K - $225K/yr

Serve as a trusted translator between business problems and technical solutions; partner with ... Airbnb, Lyft, Doordash) or high-growth startup strongly preferred. * Business partnership: Proven ...

AI Research Scientist

San Francisco, CA · On-site

$150K - $350K/yr

... AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ... Experience in translation is an added bonus * Hands-on experience building and experimenting with ...

AI Automation Lead

San Francisco, CA · On-site

$175K - $225K/yr

Serve as a trusted translator between business problems and technical solutions; partner with ... Airbnb, Lyft, Doordash) or high-growth startup strongly preferred. * Business partnership: Proven ...

We manage 30+ high-performing vacation rentals with an average guest rating of 4.93+ (translation ... Familiarity with Airbnb, Vrbo, or short-term rental management systems. * Proven attention to ...

AI Automation Lead

San Francisco, CA · Hybrid

$175K - $225K/yr

Serve as a trusted translator between business problems and technical solutions; partner with ... Airbnb, Lyft, Doordash) or high-growth startup strongly preferred. * Business partnership: Proven ...

Airbnb Translation information

See salary details

$27.5K

$57.2K

$87.5K

How much do airbnb translation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for airbnb translation in the United States is $57,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in Airbnb Translation?

Daily tasks for professionals in Airbnb Translation often include translating property descriptions, guest communications, house rules, and support documentation between languages to ensure clarity and consistency for users worldwide. You may also review automated translations for accuracy, localize content to fit cultural nuances, and collaborate with hosts, customer service teams, or localization managers. Additionally, staying updated on platform changes and terminology is important to maintain translation quality. These tasks help create a seamless experience for hosts and guests from diverse backgrounds.

Is it hard to get hired by Airbnb?

Getting hired for an Airbnb translation role can be competitive, often requiring strong language skills, cultural knowledge, and relevant experience. Candidates typically go through multiple interview stages, including language assessments and situational questions, to demonstrate their suitability for the position.

What are the key skills and qualifications needed to thrive in the Airbnb Translation position, and why are they important?

To excel in Airbnb Translation, you need fluency in at least two languages, strong grammar and writing abilities, and a solid understanding of hospitality terminology. Familiarity with translation management systems, CAT tools (like SDL Trados or MemoQ), and possibly certification from recognized translation bodies (such as ATA or ITI) are valuable. Excellent attention to detail, cultural sensitivity, and strong communication skills help set top performers apart. These competencies ensure accurate, contextually appropriate translations that enhance guest experiences and facilitate smooth host-guest communication.

How to translate on Airbnb?

To translate on Airbnb as a translator or host, you can add multiple language descriptions to your listings or use the platform's automatic translation feature. Ensuring your profile and listings are accurately translated can improve visibility and guest communication. Familiarity with translation tools and maintaining high language proficiency are beneficial for this role.

What is the 80/20 rule for Airbnb?

The 80/20 rule in the context of Airbnb refers to the idea that roughly 80% of bookings or revenue often come from 20% of hosts or listings. For Airbnb hosts and those involved in translation or communication, focusing on high-impact tasks or key listings can improve efficiency and results.

What is an Airbnb Translation job?

An Airbnb Translation job involves translating listings, guest messages, and other content on Airbnb into different languages to ensure clear communication between hosts and guests. This role helps improve the guest experience by eliminating language barriers. Translators may also assist with localizing content to fit cultural preferences and nuances. The job can be freelance or in-house, depending on the company’s needs. Fluency in multiple languages and familiarity with Airbnb's platform are essential for success in this role.

Can I work remotely for Airbnb?

Airbnb offers remote work opportunities for certain roles, including positions related to translation and customer support. These jobs often require strong communication skills, language proficiency, and the ability to work independently in a virtual environment. Availability of remote positions depends on the specific role and company needs.
Infographic showing various Airbnb Translation job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 73% Full Time, 4% Part Time, 14% Temporary, 7% Contract, and 1% Nights. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $57,200 per year, or $27.5 per hour.

AI Research Scientist

Collate

San Francisco, CA • On-site, Remote

$150K - $350K/yr

Full-time

Posted 10 days ago


Job description

About Collate
 
Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market.
 
Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders.
 
We’re an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale.
 
 
About the Role
 
We’re looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products.
 
This is not a pure research role. At Collate, research is directly tied to deployment. You’ll work side by side with engineers, product, and Life science  experts to ensure that breakthroughs in the lab become real solutions in the world.
What You’ll Do
  • What You’ll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning.
  • Prototype and validate AI capabilities that expand Collate’s product roadmap.
  • Collaborate with engineering, product, and design to bring research into production.
  • Develop evaluation frameworks to measure safety, reliability, and fairness.
  • Share findings with the broader AI community through publications and open collaboration.
  • Help shape the long-term research agenda at Collate.
What We’re Looking For
  • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience.
  • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science. 
  • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation.
  • Experience in translation is an added bonus
  • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow).
  • Ability to bridge theory and practice — from new research ideas to real-world deployments.
  • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities.
  • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.
  • Excitement to work in an early-stage environment where you help define not just the research, but the product and company direction.
Why Join Collate?
 
Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes.
 
Ownership: Shape both our product experience and our engineering culture from the start.
 
Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders.
 
Upside: Join a company early enough to have meaningful equity and career-defining impact.
 
The base salary range for this role is $150,000–$350,000 USD annually, depending on experience and level (Tier 1, San Francisco)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.