H-1B Visa QA Analyst Jobs
QA Analyst roles qualify for H-1B sponsorship when the position requires a bachelor's degree in computer science, information systems, or a related field. Employers file a Labor Condition Application with DOL before petitioning USCIS, and most QA hires target the April cap-subject filing window. Software testing, automation frameworks, and SDLC expertise are the credentials that move applications forward.
See All QA Analyst JobsOverview
Showing 5 of 836+ QA Analyst jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 836+ QA Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new QA Analyst roles.
Get Access To All JobsINTRODUCTION
We design Spotify’s consumer experience—end-to-end, moment-to-moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
To power the best audio network in the world by enabling creators and content distributors to deliver their content frictionlessly and equip Spotify teams with the richest possible catalog. That’s what the Content Platform team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users worldwide, bringing the music and audio they love to the devices, apps and platforms they use every day.
The Annotation Platform Ops team works alongside Product and Engineering teams at the heart of the Content Platform R&D studio to develop rich, interconnected datasets that enable delightful consumer experiences through a fusion of machine and human expertise. We focus on use cases across all of Spotify’s domains - Music, Podcasts, and Audiobooks.
ROLE AND RESPONSIBILITIES
We are seeking an Annotation QA Analyst to help create a broad collection of labeled datasets that Content Platform teams use to train, evaluate, and better understand models and systems. This is an exciting opportunity to work at the center of ML and AI-driven development.
- Review annotated data to ensure it meets Spotify’s quality standards and policies, prioritizing work based on business needs
- Deliver high-quality, timely results for Product and Engineering teams using established QA frameworks and metrics such as agreement rates and consensus
- Handle complex edge cases, helping define ground truth and reduce ambiguity across datasets
- Identify patterns, insights, and areas for improvement, and communicate findings clearly to both technical and non-technical partners
- Contribute to feedback loops between annotation teams, R&D collaborators, and content policy experts to improve workflows and outputs
- Help develop and refine annotation guidelines, supporting annotator training and continuous improvement
- Collaborate closely with teammates across multiple projects and domains
BASIC QUALIFICATIONS
- You have experience working with annotation, data quality, or QA processes in ML/AI environments
- You’re familiar with LLM or AI-driven annotation workflows and human-in-the-loop systems
- You’re comfortable reviewing large-scale datasets across different modalities such as text, audio, images, or video
- You care about quality and consistency, and bring a structured approach to evaluating data
- You communicate clearly and can explain complex ideas in a simple, accessible way
- You collaborate well with cross-functional partners in fast-moving environments
- You have a solid understanding of the machine learning lifecycle, from data collection to deployment
- You’re comfortable working with emerging AI tools and agent workflows
- You bring curiosity and interest in music, podcasts, or audiobooks
- You have familiarity with SQL or music metadata standards (nice to have)
LOCATION
This role is based in New York.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
COMPENSATION
The United States base range for this position is $82,921.00 - $118,459.00 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
OUR GLOBAL BENEFITS
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - for all new parents.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
INTRODUCTION
We design Spotify’s consumer experience—end-to-end, moment-to-moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
To power the best audio network in the world by enabling creators and content distributors to deliver their content frictionlessly and equip Spotify teams with the richest possible catalog. That’s what the Content Platform team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users worldwide, bringing the music and audio they love to the devices, apps and platforms they use every day.
The Annotation Platform Ops team works alongside Product and Engineering teams at the heart of the Content Platform R&D studio to develop rich, interconnected datasets that enable delightful consumer experiences through a fusion of machine and human expertise. We focus on use cases across all of Spotify’s domains - Music, Podcasts, and Audiobooks.
ROLE AND RESPONSIBILITIES
We are seeking an Annotation QA Analyst to help create a broad collection of labeled datasets that Content Platform teams use to train, evaluate, and better understand models and systems. This is an exciting opportunity to work at the center of ML and AI-driven development.
- Review annotated data to ensure it meets Spotify’s quality standards and policies, prioritizing work based on business needs
- Deliver high-quality, timely results for Product and Engineering teams using established QA frameworks and metrics such as agreement rates and consensus
- Handle complex edge cases, helping define ground truth and reduce ambiguity across datasets
- Identify patterns, insights, and areas for improvement, and communicate findings clearly to both technical and non-technical partners
- Contribute to feedback loops between annotation teams, R&D collaborators, and content policy experts to improve workflows and outputs
- Help develop and refine annotation guidelines, supporting annotator training and continuous improvement
- Collaborate closely with teammates across multiple projects and domains
BASIC QUALIFICATIONS
- You have experience working with annotation, data quality, or QA processes in ML/AI environments
- You’re familiar with LLM or AI-driven annotation workflows and human-in-the-loop systems
- You’re comfortable reviewing large-scale datasets across different modalities such as text, audio, images, or video
- You care about quality and consistency, and bring a structured approach to evaluating data
- You communicate clearly and can explain complex ideas in a simple, accessible way
- You collaborate well with cross-functional partners in fast-moving environments
- You have a solid understanding of the machine learning lifecycle, from data collection to deployment
- You’re comfortable working with emerging AI tools and agent workflows
- You bring curiosity and interest in music, podcasts, or audiobooks
- You have familiarity with SQL or music metadata standards (nice to have)
LOCATION
This role is based in New York.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
COMPENSATION
The United States base range for this position is $82,921.00 - $118,459.00 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
OUR GLOBAL BENEFITS
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - for all new parents.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
See all 836+ QA Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new QA Analyst roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a QA Analyst
Map your degree to specialty occupation
USCIS requires QA Analyst roles to demonstrate that a specific bachelor's degree is a normal requirement for entry. Pull your job description against O*NET's profile for Quality Assurance Analysts to confirm the degree-field alignment before applying.
Target E-Verify enrolled employers early
Only E-Verify enrolled employers can sponsor H-1B cap-subject petitions. Filter your search for companies with active E-Verify participation so you're not pursuing offers from employers who can't file.
Verify prevailing wage before negotiating salary
Your employer's LCA must certify wages at or above the DOL prevailing wage for your role and location. Run your job title and zip code through OFLC Wage Search before finalizing any offer, so you're not negotiating below the floor.
Use Migrate Mate to find H-1B filing employers
Search QA Analyst roles on Migrate Mate to see verified LCA filing history by employer and location. You can identify which companies have active H-1B sponsorship patterns for testing and quality roles before you apply.
Document automation skills in specialty occupation terms
RFEs on QA Analyst petitions often challenge whether the role truly requires a degree. Gather job postings, internal role descriptions, and org charts that show your position sits within a structured engineering or software development hierarchy.
QA Analyst jobs are hiring across the US. Find yours.
Find QA Analyst JobsQA Analyst H-1B Visa: Frequently Asked Questions
Does a QA Analyst role qualify as a specialty occupation for H-1B purposes?
Yes, if the position requires a bachelor's degree in a specific field like computer science, information systems, or software engineering as a normal minimum requirement. Generic QA roles that accept any degree or substitute experience freely are harder to qualify. The stronger your job description ties the role to a specific technical discipline, the cleaner the specialty occupation argument is for USCIS.
How do I find QA Analyst employers who actively sponsor H-1B visas?
Migrate Mate shows verified LCA filing history by employer and job category, so you can see which companies have sponsored H-1B workers in QA and software testing roles. Focusing on employers with a track record of filing for this specific occupation reduces the risk of pursuing offers from companies unfamiliar with the sponsorship process.
Can I switch QA Analyst employers on H-1B without losing my status?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as they file a new I-129 petition on your behalf, as long as your previous H-1B was approved, you've been maintaining valid status, and the new role is in the same or a related specialty occupation. You don't need to wait for the new petition to be approved before starting.
What wage level should a QA Analyst H-1B petition be filed at?
DOL assigns wage levels one through four based on experience, supervision, and complexity. Most entry-level QA Analyst roles are filed at Level I or II. Mid-level positions with independent judgment and cross-functional ownership typically fall at Level II or III. Your employer determines the level, but you can cross-check it against OFLC Wage Search data for your occupation code and work location.
What happens to my H-1B status if my QA Analyst role shifts to full remote work in a different state?
A material change in worksite location requires your employer to file an amended H-1B petition with USCIS and obtain a new LCA certified for the new work location before you begin working there. Short-term travel under 60 workdays in a year may fall under DOL short-term placement rules, but a permanent remote move to a new state triggers the full amendment process.
See which QA Analyst employers are hiring and sponsoring visas right now.
Search QA Analyst Jobs