AI Data Engineer Jobs at Snorkel AI with Visa Sponsorship
Snorkel AI hires AI Data Engineers to build and refine the data pipelines that power programmatic labeling and foundation model development. The company has a track record of sponsoring work visas for technical roles, making it a viable target if you're on H-1B, F-1 OPT, or TN status.
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Get Access To All JobsAbout 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!
About the Role
Snorkel AI is hiring Frontier AI Solutions Engineers who will partner with leading AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines technical depth with strong presales instincts. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, demonstrating Snorkel's capabilities through research-driven engagements.
You'll work at the critical intersection of research, technical strategy, and customer partnership. This includes scoping training data needs, designing RL environments and tasks, developing evaluation frameworks, probing model behavior and failure modes, and translating customer research objectives into actionable technical plans. You'll develop technical specifications, analyze frontier model failure modes, and serve as a thought partner to customer research teams throughout the sales cycle and into early delivery phases.
Main Responsibilities
- Partner with frontier AI research labs to design datasets and environments that improve model performance
- Lead technical conversations with customer researchers to understand model capabilities, failure modes, data requirements, and success criteria
- Probe model behavior through systematic evaluation to uncover weaknesses and identify high-impact data interventions
- Design evaluation frameworks, calibration processes, and quality rubrics that establish measurable project success metrics
- Develop technical specifications for data projects that balance research rigor with operational feasibility
- Serve as thought partner to customer research teams throughout the sales cycle, building trust and credibility
- Stay current on frontier AI research, RL environment design, post-training techniques, and evaluation methodologies
Preferred Qualifications
- Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments
- Experience in applied ML research, data science, or research-intensive technical roles with customer-facing or collaborative research experience
- Proficiency in Python and familiarity with ML frameworks and LLM APIs
- Excellent communication skills — ability to deliver technical presentations and explain complex concepts to diverse audiences
- Familiarity with data curation workflows, synthetic data generation, LLM-as-a-Judge, or evaluation framework design
- Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration
- B.S. in Computer Science, Machine Learning, or related field with 4+ years of experience in AI/ML solutions engineering or technical customer-facing roles
Compensation
- Salary Range: $172,000 - $300,000 USD for Tier 1 locations of San Francisco Bay Area and New York City
All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
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 own technical data workflows and be a founding member of the technical DaaS team.
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 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!
About the Role
Snorkel AI is hiring Frontier AI Solutions Engineers who will partner with leading AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines technical depth with strong presales instincts. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, demonstrating Snorkel's capabilities through research-driven engagements.
You'll work at the critical intersection of research, technical strategy, and customer partnership. This includes scoping training data needs, designing RL environments and tasks, developing evaluation frameworks, probing model behavior and failure modes, and translating customer research objectives into actionable technical plans. You'll develop technical specifications, analyze frontier model failure modes, and serve as a thought partner to customer research teams throughout the sales cycle and into early delivery phases.
Main Responsibilities
- Partner with frontier AI research labs to design datasets and environments that improve model performance
- Lead technical conversations with customer researchers to understand model capabilities, failure modes, data requirements, and success criteria
- Probe model behavior through systematic evaluation to uncover weaknesses and identify high-impact data interventions
- Design evaluation frameworks, calibration processes, and quality rubrics that establish measurable project success metrics
- Develop technical specifications for data projects that balance research rigor with operational feasibility
- Serve as thought partner to customer research teams throughout the sales cycle, building trust and credibility
- Stay current on frontier AI research, RL environment design, post-training techniques, and evaluation methodologies
Preferred Qualifications
- Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments
- Experience in applied ML research, data science, or research-intensive technical roles with customer-facing or collaborative research experience
- Proficiency in Python and familiarity with ML frameworks and LLM APIs
- Excellent communication skills — ability to deliver technical presentations and explain complex concepts to diverse audiences
- Familiarity with data curation workflows, synthetic data generation, LLM-as-a-Judge, or evaluation framework design
- Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration
- B.S. in Computer Science, Machine Learning, or related field with 4+ years of experience in AI/ML solutions engineering or technical customer-facing roles
Compensation
- Salary Range: $172,000 - $300,000 USD for Tier 1 locations of San Francisco Bay Area and New York City
All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
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 own technical data workflows and be a founding member of the technical DaaS team.
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.
See all 31+ AI Data Engineer at Snorkel AI jobs
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Get Access To All JobsTips for Finding AI Data Engineer Jobs at Snorkel AI Jobs
Tailor your portfolio to programmatic labeling
Snorkel AI's core product is data-centric AI, so highlight projects involving weak supervision, label functions, or large-scale dataset curation. Generic data pipeline work reads as background noise; labeling-specific experience reads as a direct match.
Verify your OPT cap-gap coverage before accepting
If you're on F-1 OPT and your EAD expires before October 1, confirm your employer files the H-1B petition before the April 1 filing window opens. Cap-gap protection only kicks in if you're already in a valid OPT period when USCIS receives the petition.
Ask directly about the sponsorship timeline during interviews
For H-1B transfers from another employer, ask Snorkel AI's recruiting team whether they file portability transfers before your current petition is approved. The answer tells you whether you can start immediately or must wait, which affects your resignation timing.
Use DOL LCA data to benchmark your compensation expectations
Before negotiating an offer, search the DOL's OFLC disclosure database for AI Data Engineer LCA filings in Snorkel AI's primary work locations. Prevailing wage levels set the floor, and understanding which wage level they've historically certified helps you know what offer range to expect.
Target Snorkel AI roles through Migrate Mate
Filter open AI Data Engineer positions at Snorkel AI by visa type on Migrate Mate to confirm which roles are actively open to H-1B, OPT, or TN candidates before you invest time in tailoring your application materials.
Prepare a TN documentation package if you're Canadian or Mexican
TN status for AI Data Engineer roles typically requires slotting the position under Computer Systems Analyst or Engineer. Bring a detailed offer letter specifying the qualifying title and a credentials summary to the port of entry, since CBP officers make the determination on the spot.
AI Data Engineer at Snorkel AI jobs are hiring across the US. Find yours.
Find AI Data Engineer at Snorkel AI JobsFrequently Asked Questions
Does Snorkel AI sponsor H-1B visas for AI Data Engineers?
Yes, Snorkel AI sponsors H-1B visas for AI Data Engineer roles. As an E-Verify enrolled employer in the technology sector, they participate in the H-1B cap lottery for new applicants and can also file H-1B transfers for candidates already holding an approved petition with a different employer, which allows you to start without waiting for a new lottery cycle.
How do I apply for AI Data Engineer jobs at Snorkel AI?
You can browse and apply for AI Data Engineer openings at Snorkel AI directly through Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility before applying. When you apply, tailor your resume to emphasize data labeling pipelines, large-scale dataset management, and any experience with programmatic or weak supervision frameworks, since those align directly with Snorkel AI's product focus.
Which visa types does Snorkel AI commonly use for AI Data Engineer positions?
Snorkel AI sponsors H-1B, F-1 OPT, and TN visas for AI Data Engineer roles. F-1 OPT is the most common entry point for recent graduates, with the expectation of transitioning to H-1B through the annual lottery. TN is available to Canadian and Mexican nationals whose role can be mapped to a qualifying USMCA professional category such as Computer Systems Analyst.
What qualifications does Snorkel AI expect for AI Data Engineer roles?
Snorkel AI typically looks for a bachelor's or master's degree in computer science, data engineering, or a closely related field. Practical experience with data pipeline construction, ML data infrastructure, and large-scale annotation or labeling workflows carries significant weight. Familiarity with Snorkel's own programmatic labeling methodology, or comparable weak supervision frameworks, distinguishes competitive candidates from generalist data engineers.
How do I time my H-1B application if I'm on F-1 OPT at Snorkel AI?
USCIS opens H-1B registrations each March for an October 1 start date. If you're on OPT when Snorkel AI submits your registration and your EAD would expire between April 1 and September 30, you're automatically covered by cap-gap protection, which extends your work authorization until October 1 if your petition is selected. Plan your start date at Snorkel AI to ensure your OPT is still valid before the registration window opens.
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