Snorkel AI Visa Sponsorship Jobs USA
Snorkel AI is a data-centric AI company building tools that help organizations programmatically label and manage training data. It operates in a competitive corner of the AI infrastructure space and has a track record of sponsoring skilled international talent, making it a credible option for H-1B visa and OPT holders in AI and machine learning roles.
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About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
ROLE AND RESPONSIBILITIES
As a Staff Backend Engineer at Snorkel, you will set the long-term technical direction and strategy for our Expert Contributor (EC) Platform. You will be responsible for defining and driving complex, multi-quarter architectural initiatives that ensure our services are innovative, scalable, and resilient. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models.
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Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.
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Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.
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Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.
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Prototype, optimize, and maintain scalable services to power complex data user management pipelines.
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Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.
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Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline.
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Build proactively with empathy for both customers and subject matter experts using our tools.
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Mentor and guide Senior and Mid-level engineers on technical design, best practices, and project execution across multiple teams.
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Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling.
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Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.
BASIC QUALIFICATIONS
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8+ years of software engineering experience developing performant, intuitive, and scalable web application architectures and 2+ years working at a Staff level or equivalent.
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Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
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Expertise designing REST for internal services and developers.
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Experience developing and shipping enterprise software products, specifically those focused on data collection, or machine learning applications.
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Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact.
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Ability to work in a fast-paced environment with strong technical communication skills.
PREFERRED QUALIFICATIONS
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Experience in hyper-growth startup environments or scaling engineering orgs.
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Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn.
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Prior experience as a Tech Lead Manager (TLM) or equivalent role with a focus on cross-functional technical leadership and mentorship.
Work Schedule
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
Salary Range
$240,000 - $270,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Roles at Snorkel AI
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Get Access To All JobsTips for Finding Snorkel AI Visa Sponsorship Jobs USA
Target AI and ML engineering roles first
Snorkel AI's core product sits at the intersection of machine learning and data labeling infrastructure. Roles in model development, ML engineering, and AI research are the most natural fit for sponsored positions, so prioritize those when applying.
Understand what Snorkel AI actually builds
Snorkel AI's platform focuses on programmatic data labeling and foundation model fine-tuning. Demonstrating fluency with weak supervision, LLM fine-tuning, or training data pipelines in your application signals you're genuinely aligned with the company's technical direction.
Look for OPT-friendly roles if you're on F-1
Snorkel AI has sponsored F-1 OPT workers, which means it's accustomed to supporting international students in STEM roles. If you're on OPT, flag your timeline early so the team can plan around potential STEM extension or H-1B transition needs.
Search verified sponsors before applying broadly
Not every AI startup is set up to sponsor visas. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you focus your energy on companies like Snorkel AI that have an established process for international hires.
Prepare for a technical-first interview process
Snorkel AI hires deeply technical candidates for its AI infrastructure product. Expect system design, ML fundamentals, and possibly domain-specific questions about data labeling or model training. Strong technical performance matters as much as cultural fit.
Engage with Snorkel AI's research and product community
Snorkel AI has roots in Stanford AI research and maintains a presence in the academic and enterprise AI communities. Engaging with their published work or open-source tools before applying can help you stand out in a technically competitive candidate pool.
Frequently Asked Questions
Does Snorkel AI sponsor H-1B visas?
Yes, Snorkel AI sponsors H-1B visas. The company has a track record of supporting international hires in technical roles, particularly in AI and machine learning. If you're targeting an H-1B sponsorship, focus on engineering and research positions, which align most closely with Snorkel AI's core product development needs.
What visa types does Snorkel AI sponsor?
Snorkel AI sponsors H-1B visas and supports F-1 OPT workers, including those in STEM fields who may need OPT extensions. The company has also sponsored TN visas, making it accessible to qualified Canadian and Mexican nationals. Its sponsorship activity is concentrated in technical and AI-focused roles rather than generalist positions.
Which roles or departments at Snorkel AI are most likely to receive visa sponsorship?
Sponsorship at Snorkel AI is most common in technical roles, particularly machine learning engineering, AI research, and software engineering focused on data infrastructure. Given the company's product focus on programmatic data labeling and foundation model tooling, candidates with hands-on ML or LLM experience are the strongest fit for sponsored positions.
How do I find open visa-sponsored roles at Snorkel AI?
The most reliable approach is to use Migrate Mate, which filters job listings by verified sponsorship history so you can see roles at companies like Snorkel AI that have an established track record of supporting international candidates. This saves time compared to applying broadly and hoping sponsorship is available on a case-by-case basis.
How do I approach the application timeline if I need H-1B sponsorship at Snorkel AI?
H-1B sponsorship involves USCIS filing deadlines tied to the annual lottery, with registrations typically opening in March and the fiscal year starting October 1. If you're on OPT, start conversations with Snorkel AI's recruiting team well before your work authorization expires so there's enough runway to file on time. Being transparent about your timeline from the first interview helps avoid last-minute complications.