Director, Research - Evaluation & Training
Snorkel AI is hiring a Director, Research - Evaluation & Training in New York and San Francisco, United States. It pays $275k-$425k a year and Level rates it ; you can apply on Snorkel AI.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- Some of the work can be done remotely, according to the posting.
- The posting mentions LLMs, AI evaluation and machine learning among its tools and skills.
- Level classes it as a lead role.
- Snorkel AI has 44 other open roles on Level.
AI in this role
Lead a team of researchers focused on AI data evaluation, error analysis, and benchmark generation for frontier AI.
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!
ABOUT THE ROLE
We're looking for a manager to lead a team of researchers to focus on data evaluation, error analysis and data valuation methods to predict model performance. This team is responsible for showcasing the value and quality of Snorkel’s data for model training and evaluation, understanding where today's frontier models fall short, and turning that understanding into a point of view on what benchmarks and datasets these models will benefit from.
You and your team will be responsible for Snorkel’s data design flywheel by analyzing model failures, finding capability and skill gaps in current models, suggesting the next benchmarks to invest in and then proving the value of this data for our customers.
MAIN RESPONSIBILITIES
- Own a multi-quarter roadmap centered on novel evaluation, error analysis, and data valuation techniques
- Synthesize and share trends from model-failure analysis and benchmarking into recommendations on the datasets the community should focus on and the ones Snorkel should invest in — making this team a primary input to the company's data strategy.
- Focus on data valuation techniques that quantify how Snorkel data meaningfully improves model performance
- Lead and grow a team of researchers, setting a high bar for quality, rigor and speed of execution
- Act as the primary bridge between the team's findings and Product, GTM, and our customers
PREFERRED QUALIFICATIONS
- 7+ years in applied AI, ML, or research roles, with 4+ years managing technical teams.
- A leader who has repeatedly turned research and analysis into business outcomes, and who instinctively connects technical findings to market and customer needs.
- Strong business and market judgment in the AI/ML space — you understand the competitive and frontier-lab landscape and can prioritize accordingly.
- Technically conversant and credible: enough depth in LLM evaluation, benchmarking, and model behavior analysis to set direction, judge experimental quality, and pressure-test results — without needing to be the deepest technical expert in the room.
- A nose for trends: able to look across many evaluation results and failure cases and extract the signal that should drive what gets built next.
- Excellent communication and storytelling skills, with the ability to make technical results legible and persuasive to non-research audiences.
- Familiarity with data valuation or data attribution research is a strong plus.
- Bonus: experience working with frontier labs, public benchmarks, or commercial AI data/eval products.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role$275,000—$425,000 USDBe 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.
How we rate this
Director, Research - Evaluation & Training at Snorkel AI rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where error analysis was part of your work. What did you do?
- Walk me through how you've used LLMs in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Evaluation, Machine learning, Team Management, Error Analysis, and LLMs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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