QA Analyst Jobs in USA with Visa Sponsorship
QA Analyst roles are among the more consistently sponsored positions in tech, with employers regularly filing H-1B visa and E-3 visa petitions for candidates with a bachelor's degree in computer science, information systems, or a related field. Most roles qualify as specialty occupations, making visa approval straightforward for qualified applicants. For detailed occupation requirements, see the O*NET profile.
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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 1,062+ QA Analyst jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a QA Analyst
Target companies with a proven H-1B filing history
Employers who have sponsored QA Analysts before understand the process and are less likely to back out. DOL disclosure data shows consistent filings for QA roles at mid-size software companies and large enterprises alike.
Frame your degree as directly relevant to the role
USCIS requires a specific degree-to-role connection for specialty occupation approval. A computer science, information systems, or software engineering degree maps cleanly to QA Analyst work, which strengthens the petition considerably.
Highlight automation testing skills in your application
QA Analysts with experience in Selenium, Cypress, or similar automation frameworks are in higher demand and command stronger sponsorship interest. Automation-heavy roles are harder to fill locally, which motivates employers to sponsor.
Address sponsorship early but professionally in outreach
Bringing up visa requirements in the first message can derail conversations. Wait until there is genuine interest from the employer, then ask directly whether they have sponsored similar roles before.
Prioritize roles specifying a degree requirement, not just a preference
If a job listing says a degree is preferred rather than required, USCIS may not classify it as a specialty occupation. Roles that explicitly require a bachelor's in a specific field are far safer bets for sponsorship approval.
Use Migrate Mate to filter for visa-sponsoring QA roles
Not every QA Analyst job listing makes sponsorship status clear. Migrate Mate surfaces roles from employers actively willing to sponsor, saving you from applying to positions where sponsorship was never a realistic option.
QA Analyst jobs are hiring across the US. Find yours.
Find QA Analyst JobsFrequently Asked Questions
Does a QA Analyst role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS generally accepts QA Analyst positions as specialty occupations when the employer requires a bachelor's degree in computer science, information systems, or a related technical field. Roles that accept any degree or have no specific educational requirement can face a higher bar. The strength of the petition depends heavily on how the employer frames the job description.
What degree do I need for a QA Analyst visa sponsorship?
A bachelor's degree in computer science, information systems, software engineering, or a closely related field gives you the strongest foundation for sponsorship. Some employers accept degrees in mathematics or electrical engineering if combined with relevant coursework. A degree in an unrelated field, such as business or communications, may not support a specialty occupation petition without additional technical credentials.
Are QA Analyst roles commonly sponsored on the E-3 visa for Australians?
Yes. QA Analyst is one of the more frequently sponsored technical roles for E-3 applicants. Because the E-3 has no lottery and a far lower usage rate than available slots, Australian QA professionals can pursue sponsorship without the randomness of the H-1B cap. The process is faster and more predictable, with approval largely dependent on meeting the specialty occupation and degree requirements.
How do I find QA Analyst jobs that are open to visa sponsorship?
Most general job boards don't filter by sponsorship willingness, so you end up screening dozens of roles manually. Migrate Mate is built specifically for international candidates and surfaces QA Analyst positions from employers who are open to sponsoring. Browsing there cuts out the guesswork and lets you focus on applications that have a realistic path to a visa.
Can I switch employers mid-H-1B if I'm working as a QA Analyst?
Yes. H-1B portability allows you to change employers while your new employer files a transfer petition, as long as your original H-1B was approved and you've maintained valid status. You can start working for the new employer as soon as the transfer petition is filed, not after approval. It's worth confirming the new role also qualifies as a specialty occupation before making the move.
What is the prevailing wage requirement for sponsored QA Analyst jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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