AI Data Engineer Jobs at Snorkel AI with Visa Sponsorship
AI Data Engineer jobs at Snorkel AI involve building and refining 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 visa, F-1 OPT, or TN visa 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!
As an Applied AI Engineer (Pre-Sales), you will partner closely with Sales and our AI Solution Practice Leaders during pre-sales engagements. You will lead technical discovery and solution scoping to identify high-value use cases, and develop tailored demos and pilots that demonstrate how modern GenAI and machine learning techniques can drive measurable business outcomes. You will also translate proposed solutions into clearly scoped, technically sound proposals and Statement of Works (SOWs) that set realistic expectations and position engagements for success, while collaborating with delivery teams during initial implementation. This role sits at the intersection of deep technical problem-solving and customer partnership. You will help customers unpack complex business challenges, quickly prototype solutions, and clearly communicate technical approaches to both engineering teams and senior business stakeholders. From early architecture discussions to demo development, you will play a key role in helping organizations adopt AI effectively while surfacing field insights that inform our product and research roadmap.
MAIN RESPONSIBILITIES
- Partner closely with Sales and our AI Solution Practice Leaders to shape technical strategy across active prospects, win technical evaluations, and ensure a seamless transition to post-sales delivery through structured handoff documentation and clear expectation alignment.
- Lead structured technical discovery engagements with prospects to understand business objectives, success criteria, data landscape, architectural constraints, security considerations, and organizational readiness.
- Translate discovery findings into well-defined GenAI solution architectures that demonstrate technical feasibility and business impact using internal frameworks, and complementary third-party technologies.
- Design, build and deliver bespoke demos, including evaluation pipelines, dataset strategy, retrieval-augmented generation systems, fine-tuning workflows, prompt engineering strategies, and agentic architectures tailored to specific customer use cases and senior business stakeholders.
- Author and contribute to custom proposals, including Statements of Work and RFP/RFI responses, ensuring scope clarity, architectural soundness, realistic effort estimates, and alignment with delivery capabilities.
- Systematically capture reusable patterns from bespoke demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooks.
- Annual travel up to 25%.
BASIC QUALIFICATIONS
- B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
- 5+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof-of-value engagements, and RFP responses.
- Hands-on Python experience and familiarity with the modern Gen AI stack - LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration and agent authoring tools.
- Expertise across the predictive ML stack, including classical ML (e.g., scikit-learn) and data processing frameworks (e.g., pandas, Spark).
- Ability to operate in fast-paced environments and rapidly build prototypes (ML solutions, RAG systems, prompt-based workflows, fine-tuned models, agentic systems) that demonstrate business value.
- Able to translate ambiguous business problems into testable technical approaches and measurable success criteria.
- Strong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibility.
- Experience estimating scope and producing technical content for proposals and Statements of Work.
PREFERRED QUALIFICATIONS
- Compensation range is $190K - $330K OTE. 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.
LOCATIONS
New York; San Francisco Bay Area; Austin; Dallas; Seattle; Atlanta; Nashville; Boston; Remote - US
SALARY RANGE
$190,000—$330,000 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 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!
As an Applied AI Engineer (Pre-Sales), you will partner closely with Sales and our AI Solution Practice Leaders during pre-sales engagements. You will lead technical discovery and solution scoping to identify high-value use cases, and develop tailored demos and pilots that demonstrate how modern GenAI and machine learning techniques can drive measurable business outcomes. You will also translate proposed solutions into clearly scoped, technically sound proposals and Statement of Works (SOWs) that set realistic expectations and position engagements for success, while collaborating with delivery teams during initial implementation. This role sits at the intersection of deep technical problem-solving and customer partnership. You will help customers unpack complex business challenges, quickly prototype solutions, and clearly communicate technical approaches to both engineering teams and senior business stakeholders. From early architecture discussions to demo development, you will play a key role in helping organizations adopt AI effectively while surfacing field insights that inform our product and research roadmap.
MAIN RESPONSIBILITIES
- Partner closely with Sales and our AI Solution Practice Leaders to shape technical strategy across active prospects, win technical evaluations, and ensure a seamless transition to post-sales delivery through structured handoff documentation and clear expectation alignment.
- Lead structured technical discovery engagements with prospects to understand business objectives, success criteria, data landscape, architectural constraints, security considerations, and organizational readiness.
- Translate discovery findings into well-defined GenAI solution architectures that demonstrate technical feasibility and business impact using internal frameworks, and complementary third-party technologies.
- Design, build and deliver bespoke demos, including evaluation pipelines, dataset strategy, retrieval-augmented generation systems, fine-tuning workflows, prompt engineering strategies, and agentic architectures tailored to specific customer use cases and senior business stakeholders.
- Author and contribute to custom proposals, including Statements of Work and RFP/RFI responses, ensuring scope clarity, architectural soundness, realistic effort estimates, and alignment with delivery capabilities.
- Systematically capture reusable patterns from bespoke demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooks.
- Annual travel up to 25%.
BASIC QUALIFICATIONS
- B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
- 5+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof-of-value engagements, and RFP responses.
- Hands-on Python experience and familiarity with the modern Gen AI stack - LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration and agent authoring tools.
- Expertise across the predictive ML stack, including classical ML (e.g., scikit-learn) and data processing frameworks (e.g., pandas, Spark).
- Ability to operate in fast-paced environments and rapidly build prototypes (ML solutions, RAG systems, prompt-based workflows, fine-tuned models, agentic systems) that demonstrate business value.
- Able to translate ambiguous business problems into testable technical approaches and measurable success criteria.
- Strong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibility.
- Experience estimating scope and producing technical content for proposals and Statements of Work.
PREFERRED QUALIFICATIONS
- Compensation range is $190K - $330K OTE. 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.
LOCATIONS
New York; San Francisco Bay Area; Austin; Dallas; Seattle; Atlanta; Nashville; Boston; Remote - US
SALARY RANGE
$190,000—$330,000 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.
See all AI Data Engineer Jobs at Snorkel AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer Jobs at Snorkel AI.
Get Access To All JobsTips for Finding AI Data Engineer Jobs at Snorkel AI
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.
Frequently 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.