Engineering Technician Jobs at Snorkel AI with Visa Sponsorship
Engineering Technician jobs at Snorkel AI sit at the intersection of hardware, lab operations, and production support, where the company builds data-centric AI infrastructure. The company has a track record of sponsoring international talent for this function, making it a realistic target if you're on a work visa.
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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 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.
See all Engineering Technician Jobs at Snorkel AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Technician Jobs at Snorkel AI.
Get Access To All JobsTips for Finding Engineering Technician Jobs at Snorkel AI
Align your resume to lab and hardware workflows
Snorkel AI's Engineering Technician roles focus on equipment setup, testing pipelines, and supporting ML infrastructure. Tailor your resume to highlight hands-on lab work, hardware debugging, or production support rather than software development credentials.
Confirm TN eligibility before applying
If you're a Canadian or Mexican citizen, TN visa classification covers Engineering Technicians under specific occupational categories. Verify your degree and job description align with DOL's TN qualifying criteria before the offer stage to avoid delays at the border.
Time your F-1 OPT application around Snorkel AI's hiring cycles
USCIS recommends filing your OPT application up to 90 days before your program end date. If Snorkel AI is actively posting Engineering Technician roles, initiate your OPT paperwork early so authorization is in hand when you receive an offer.
Ask about H-1B filing timelines during the offer stage
H-1B cap-subject petitions are filed in April for an October 1 start. If you receive an offer outside that window, clarify whether Snorkel AI will file for the next cap season or bridge you on OPT or another status in the interim.
Use Migrate Mate to track open Engineering Technician roles
Snorkel AI posts Engineering Technician positions across different teams and locations. Use Migrate Mate to filter for currently open roles that align with your visa type and target specific openings before they close.
Document specialized certifications before interviews
Snorkel AI operates in a highly technical environment where credentials in equipment calibration, electrical systems, or hardware testing carry weight. Gather certifications and evidence of hands-on project outcomes before your technical interview to support both the role fit and any H-1B specialty occupation filing.
Frequently Asked Questions
Does Snorkel AI sponsor H-1B visas for Engineering Technicians?
Yes, Snorkel AI has sponsored H-1B visas for Engineering Technician roles. H-1B sponsorship requires the position to qualify as a specialty occupation, meaning the role must typically require a bachelor's degree or higher in a specific technical field. Because Engineering Technician work at an AI infrastructure company often involves specialized hardware and systems knowledge, these roles can meet that threshold, but the specific job description matters.
How do I apply for Engineering Technician jobs at Snorkel AI?
You can find open Engineering Technician positions at Snorkel AI through Migrate Mate, which surfaces roles filtered by visa sponsorship eligibility. Once you identify a relevant opening, apply directly through Snorkel AI's careers page. Tailor your application to the specific team, whether that's lab operations, hardware testing, or production infrastructure, since responsibilities vary across postings.
Which visa types are commonly used for Engineering Technician roles at Snorkel AI?
Snorkel AI sponsors H-1B visas and supports F-1 OPT for Engineering Technician roles. Canadian and Mexican nationals may also qualify under the TN visa category if the role and their credentials align with DOL's engineering technician occupational criteria. The right visa type depends on your nationality, educational background, and where you are in your job search timeline.
What qualifications does Snorkel AI expect for Engineering Technician roles?
Snorkel AI typically looks for candidates with hands-on experience in hardware setup, equipment testing, or lab operations in a technology environment. A degree in electrical engineering, computer engineering, or a closely related technical field strengthens your candidacy and supports any H-1B specialty occupation determination. Certifications in relevant hardware systems or prior work in an AI or data infrastructure setting can differentiate your application.
How do I plan my timeline if I need visa sponsorship for this role?
If you're on F-1 OPT, file with USCIS up to 90 days before your program end date to avoid gaps. For H-1B, cap-subject petitions are filed in April each year for an October 1 start, so an offer before April gives you the most direct path. Confirm Snorkel AI's willingness to file before you accept an offer, and clarify how they handle bridging employment if your authorization expires before the H-1B start date.