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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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 since 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!
About The Role
In this role, you will build and lead our forward-deployed engineering (FDE) team, working directly with leading labs and enterprises to scope, build and deliver high quality datasets to support their most critical AI initiatives.
You’ll lead a team that will own quality in the end-to-end data pipeline. This will include working with customers to define what “good” data looks like to implement the relevant workflows in their platform. You will design innovative ML approaches to enhance human-in-the-loop (HITL) techniques and improve the efficiency of data generation and review processes. Your team will own systems and tools that enable consistent, scalable, and high-quality data delivery to our customers. Sitting at the critical intersection of data engineering, ML engineering, operations, and customer engagement—leading scoping and preselling efforts. You'll also partner closely with the Snorkel delivery team and cross-functional stakeholders to define quality standards, develop measurement frameworks, drive ML-based workflows to improve data pipelines and unblock projects through technical innovation. As the founding member, you’ll also roll up your sleeves to define and own the workflows and processes that are needed to deliver exceptional data at scale.
Main Responsibilities
- Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
- Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact.
- Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling and data generation, quality estimation, and data-centric feedback loops that guide human input
- Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows
- Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps
- Collaborate cross-functionally with research and engineering teams to innovate, develop, and productionize HITL data generation methods, advanced quality techniques, and improve internal delivery tooling
- Drive continuous improvement by developing reusable workflows, surfacing operational insights, and enabling the organization to scale faster while maintaining high quality
What We’re Looking For
- 10+ years of experience in applied data or ML engineering roles, including 5+ years leading high-performing technical teams in hands-on management capacity
- Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows.
- Proven track record of managing technical field teams in fast-paced, delivery-focused environments with competing priorities
- Experience as a player-coach—comfortable being hands-on while supporting and scaling the team
- Proven ability to thrive in fast-paced, ambiguous environments with cross-functional stakeholders
- Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
- Bonus: experience working with data annotation workflows or internal tooling for data delivery orgs
Why Join Snorkel AI?
At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to found a function and have a broad, lasting impact across the company.
The base salary range for this role is $268,800 to $403,200. This position is also eligible for variable compensation and equity in the form of stock options, with final compensation determined based on factors such as experience, skills, qualifications, and location. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $268,800—$403,000 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.
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 since 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!
About The Role
In this role, you will build and lead our forward-deployed engineering (FDE) team, working directly with leading labs and enterprises to scope, build and deliver high quality datasets to support their most critical AI initiatives.
You’ll lead a team that will own quality in the end-to-end data pipeline. This will include working with customers to define what “good” data looks like to implement the relevant workflows in their platform. You will design innovative ML approaches to enhance human-in-the-loop (HITL) techniques and improve the efficiency of data generation and review processes. Your team will own systems and tools that enable consistent, scalable, and high-quality data delivery to our customers. Sitting at the critical intersection of data engineering, ML engineering, operations, and customer engagement—leading scoping and preselling efforts. You'll also partner closely with the Snorkel delivery team and cross-functional stakeholders to define quality standards, develop measurement frameworks, drive ML-based workflows to improve data pipelines and unblock projects through technical innovation. As the founding member, you’ll also roll up your sleeves to define and own the workflows and processes that are needed to deliver exceptional data at scale.
Main Responsibilities
- Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
- Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact.
- Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling and data generation, quality estimation, and data-centric feedback loops that guide human input
- Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows
- Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps
- Collaborate cross-functionally with research and engineering teams to innovate, develop, and productionize HITL data generation methods, advanced quality techniques, and improve internal delivery tooling
- Drive continuous improvement by developing reusable workflows, surfacing operational insights, and enabling the organization to scale faster while maintaining high quality
What We’re Looking For
- 10+ years of experience in applied data or ML engineering roles, including 5+ years leading high-performing technical teams in hands-on management capacity
- Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows.
- Proven track record of managing technical field teams in fast-paced, delivery-focused environments with competing priorities
- Experience as a player-coach—comfortable being hands-on while supporting and scaling the team
- Proven ability to thrive in fast-paced, ambiguous environments with cross-functional stakeholders
- Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
- Bonus: experience working with data annotation workflows or internal tooling for data delivery orgs
Why Join Snorkel AI?
At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to found a function and have a broad, lasting impact across the company.
The base salary range for this role is $268,800 to $403,200. This position is also eligible for variable compensation and equity in the form of stock options, with final compensation determined based on factors such as experience, skills, qualifications, and location. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Salary range(s) for this role $268,800—$403,000 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.