Snorkel AI
AI & Machine LearningDirect Greenhouse career site

Forward Deployed Researcher - Data as a Service

Pay
$180,000 – $300,000 per year
Location
New York City, NY (Remote) · Hybrid
Job type
Full-time
Level
Director
Experience
4+ years
Listed
31 days ago

Skills & highlights for this role

  • ML model evaluation
  • RL environments
  • dataset design
  • frontier model benchmarking

Stated benefits & perks

  • Health
  • Dental

About the Role

Snorkel AI is hiring Forward Deployed Researchers who will partner with frontier AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines deep technical and research credibility with the ability to work directly with customer research teams. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, serving as a thought partner throughout the engagement.

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.

Forward Deployed Researchers own a technical domain. You are the person who knows where frontier models fail in it, what data moves those numbers, and what we should build next.

Main Responsibilities

  • Own a technical domain end to end: the technical bar for what we build in it, and what we build next
  • 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
  • Benchmark frontier models against our datasets to demonstrate value to customers, building or adapting evaluation harnesses as needed, and turn the results into pass-rate analysis, failure-mode breakdowns, and purchase recommendations
  • 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
  • Hold the demand shape for your domain: which labs want what, at what volume, against what bar, and where the asks are converging
  • Develop a point of view on where your domain is heading, and partner with Research on what should exist before a customer asks for it
  • 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
  • Customer-facing or collaborative research experience, or demonstrated aptitude for client engagement
  • Proficiency in Python, familiarity with ML frameworks and LLM APIs, and comfort running evaluations in containerized environments
  • 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
  • Willingness to make and state a defensible assumption when a request arrives underspecified, rather than waiting for the customer to close the gap
  • 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 research or technical roles; advanced degree preferred

Compensation

The salary range for this role is ~$180,000-$300,000 USD, depending on location, experience, and qualifications. This role may also be eligible for additional benefits, including health and dental coverage and equity grants.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role $180,000—$300,000 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.

About Snorkel

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes.

Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

Read the original posting

From Snorkel AI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Forward Deployed Researcher - Data as a Service role at Snorkel AI?

The Forward Deployed Researcher - Data as a Service posting at Snorkel AI states compensation of $180,000 – $300,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Snorkel AI's official career site.

Where is the Forward Deployed Researcher - Data as a Service job at Snorkel AI located?

Yes, this Forward Deployed Researcher - Data as a Service opening at Snorkel AI is listed as New York City, NY (Remote) (Hybrid). Always check Snorkel AI's application page for specific state eligibility or relocation policies.

What qualifications are required for Forward Deployed Researcher - Data as a Service at Snorkel AI?

For the Forward Deployed Researcher - Data as a Service role, Snorkel AI highlights 4+ years of relevant experience; experience with ML model evaluation, RL environments, dataset design, frontier model benchmarking. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Forward Deployed Researcher - Data as a Service position at Snorkel AI?

This listing links directly to Snorkel AI's Greenhouse application page. You can apply directly on Snorkel AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.