Snorkel AI logo
Snorkel AI Posted 30+ days ago

Research Scientist - Human-AI Systems

Location

New York

Hybrid

Contract

Permanent

Full-time

Salary

$200–375k

Gross per year

Experience

Not specified

Job summary

Responsibilities

We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input.

  • Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation.
  • Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communicate…
  • Partner with engineering, data operation, domain experts, and customers to turn research prototypes into reliable production workflows.
  • Work directly with domain experts to design and test workflows that help them author, review, and refine data and environments.
  • Work cross-functionally with data operations, product, and engineering to surface research findings that inform the company roadmap.

What they're looking for

  • Strong research background in AI, machine learning, NLP, LLMs, or related fields, with experience developing and evaluating new methods.
  • Experience building environments for AI agents in automated research, computer use, coding, or professional domain workflows.
  • Experience with one or more of synthetic data generation, human in the loop workflows, reinforcement learning, agent environments, or model evaluation.
  • Strong experimental design skills, including defining hypotheses and conducting ablations.
  • Experience with software engineering best practices (e.g., clean coding, modular design, version control).

Read the full job posting

This summary is written by Tokn from the original posting. Only the posting published by Snorkel AI is authoritative. Request a removal

job-boards.greenhouse.io ↗