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Snorkel Jobs (NOW HIRING)

Snorkel AI

Senior/Staff FDE - CUA

New York, NY · On-site +1

$76K - $93K/yr

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 ...

Snorkel AI

Staff HR Business Partner

San Francisco, CA · Hybrid

About This Role We're looking for a Staff HR Business Partner to build and own the people strategy for Snorkel's Data as a Service (DaaS) organization. This role is hybrid ( 3 days/week in office) in ...

Snorkel AI

Head of Technical Recruiting

New York, NY

$170K - $300K/yr

About the Role Snorkel AI is looking for a Head of Technical Recruiting to build and lead the technical recruiting engine that will support our next stage of growth. This leader will own the strategy ...

Snorkel AI

Software Engineer - Security

New York, NY · On-site +1

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 ...

Snorkel AI

Head of Data Quality

New York, NY

About the Role Snorkel AI is hiring a Head of Data Quality to build and own the quality system at the heart of our Data-as-a-Service business . This role is hybrid ( 3 days/week in office) in San ...

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How much do snorkel jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for snorkel in the United States is $25.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $30.53 per hour, depending on experience, location, and employer.

What is a snorkel?

A Snorkel job typically refers to a role involving snorkeling activities, such as guiding tours, assisting marine research, or ensuring safety in underwater excursions. Responsibilities may include educating participants, maintaining equipment, and monitoring marine environments. These jobs are common in tourism, conservation, and scientific research settings, often requiring strong swimming skills and knowledge of marine life.

What are the typical daily responsibilities of a snorkel guide or instructor?

A Snorkel Guide or Instructor typically starts their day by preparing equipment, conducting safety briefings, and overseeing group fits for masks, fins, and snorkels. Throughout the excursion, they monitor participants in the water, provide basic instruction, identify interesting marine life, and respond to any safety concerns. Guides also maintain equipment and record tour details after each trip. Working closely with other guides and boat crew members, they ensure a safe and enjoyable experience for all guests.

What are the key skills and qualifications needed to thrive in the snorkel position, and why are they important?

To succeed as a Snorkel Guide or Instructor, you need strong swimming abilities, knowledge of marine safety, and certification in first aid or lifeguarding. Familiarity with snorkeling equipment, local marine ecosystems, and PADI or similar certifications are typically required. Excellent communication, patience, and leadership skills help to ensure guest safety and create a positive experience. These competencies are vital to protect clients, maintain safety standards, and deliver high-quality guided snorkeling activities.

Is snorkeling a job?

Snorkeling can be a job when performed professionally, such as a snorkeling guide, instructor, or tour operator. These roles typically require knowledge of safety procedures, environmental awareness, and sometimes certifications, and often involve working outdoors in aquatic environments.
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Snorkel jobs near you
Infographic showing various Snorkel job openings in the United States as of August 2026, with employment types broken down into 43% Full Time, 43% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $53,531 per year, or $25.7 per hour.

Senior/Staff FDE - CUA

Snorkel AI

New York, NY • On-site, Remote

$76K - $93K/yr

Full-time

Posted 9 days ago

Job description

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
Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives.
In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance.
You will work across the full delivery lifecycle-from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.
Main Responsibilities
Computer Use Agents, Data, and Evaluation
  • Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces
  • Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
  • Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
  • Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
  • Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
  • Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
  • Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents
Forward Deployed Engineering & Customer Partnership
  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment
Technical Leadership & Scale
  • Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices
  • Define and improve technical standards for agent task design, environment reliability, evaluation, and delivery
  • Partner with DaaS Engineering, Research, and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging agentic-AI, computer-use, evaluation, and data-curation techniques and assess their applicability to customer problems
What We're Looking For
  • 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role
  • Strong Python skills and experience building reliable production software, data, or ML systems
  • Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA)
  • Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions
  • Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards)
  • Experience building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools
  • Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack
  • Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery
  • Strong technical communication skills and experience working directly with customers or cross-functional stakeholders
  • Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions
Preferred Qualifications
  • Experience developing agent benchmarks, task suites, or simulators
  • Experience with multimodal models, visual grounding, or evaluating agents that interact with graphical user interfaces
  • Experience with repo-scale agentic coding tasks, agent tool protocols & interop, or productized browser/computer-use agents
  • Experience building data pipelines for fine-tuning, reinforcement learning, preference optimization, benchmarking, or model evaluation
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly
Compensation
The base salary range for this position is $180,000-$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.
All offers also include equity in the form of employee stock options, as well as benefits.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role
$180,000-$320,000 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.

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