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Director Research Job Jobs (NOW HIRING)

Director, Research

$140K - $160K/yr

The Director, Research serves as the strategic and operational leader for all research initiatives at WorldatWork. This role drives the vision, methodology, and execution of both market research and ...

Director, Research Services - Remote About Pulse Labs Pulse Labs, backed by Google and Amazon, is a leading UX research firm at the forefront of product development. Our mission is to deliver ...

Senior Director, Research

New York, NY · On-site

$195K - $275K/yr

Position Summary The Senior Director of Research is a key member of the senior leadership team of the Center on Global Energy Policy (CGEP) at Columbia University's School of International and Public ...

Director, Research Finance

Chestnut Hill, MA · On-site

$172K - $215K/yr

The University is seeking an experienced and collaborative Director of Research Finance to lead and strengthen the institution's post-award research financial operations. Reporting to the Associate ...

The Director, Research Systems provides strategic, operational, and handson technical leadership for Research Informatics systems that support drug discovery at Gilead. This role is accountable for ...

Posting Details Position Information Fiscal Year 2025-2026 Position Title Director, Research IT Classification Title Assistant Director of Computing Services Department Research IT Posting Number ...

Prepares research financial reports for the Executive director, Finance manager, Joint policy board, and executive committee.Functioning at a highly strategic level, provides leadership and guidance ...

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Showing results 1-20

Director Research Job information

See salary details

$57.5K

$191.3K

$230.5K

How much do director research job jobs pay per year?

As of Jun 12, 2026, the average yearly pay for director research job in the United States is $191,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $229,000.00 per year, depending on experience, location, and employer.

What is the difference between Director Research Job vs Research Manager?

AspectDirector Research JobResearch Manager
ResponsibilitiesOversees multiple research projects, sets strategic research goals, manages research teamsManages specific research projects, coordinates research activities, reports findings
Required CredentialsBachelor's or Master's in relevant field, extensive research experience, leadership skillsBachelor's or Master's in relevant field, research experience, project management skills
Work EnvironmentCorporate, academic, or industry research departmentsResearch labs, corporate R&D teams, academic research groups

The main difference between a Director Research Job and a Research Manager is the scope of responsibilities. Directors focus on strategic oversight and leadership across multiple projects, while Research Managers handle day-to-day project management. Both roles require similar credentials and work in comparable environments, but the Director role involves higher-level planning and team leadership.

More about Director Research Job jobs
What cities are hiring for Director Research Job jobs? Cities with the most Director Research Job job openings:
What are the most commonly searched types of Research Job jobs? The most popular types of Research Job jobs are:
What states have the most Director Research Job jobs? States with the most job openings for Director Research Job jobs include:
Infographic showing various Director Research Job job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, 3% Hybrid, and 15% Remote job distribution, with an average salary of $191,320 per year, or $92 per hour.
Director, Applied AI Research

Director, Applied AI Research

Snorkel AI

San Francisco, CA

Other

Posted 2 days ago


Job description

Snorkel AI came out of the Stanford AI lab and is built on the principle that data development is the core of AI. For years, we have pioneered data-centric methods that power the world's most sophisticated AI implementations from top enterprises to frontier AI labs. We are looking for a Senior Manager of Research to lead a team focused on data-centric research.

About the Role

You will be responsible for developing cutting-edge human-in-the-loop systems that move beyond labeling to guiding experts on complex, multi-step tasks. From rapidly prototyping and testing methods with 1000s of users to innovating core data-centric methods, you will have the opportunity to lead how data that powers the next generation of frontier models is created and curated.

Main Responsibilities
  • Team Building & Leadership: Recruit for and lead a team of applied researchers, setting the team's culture and setting a high standard for quality and velocity
  • The Research-to-Product Bridge: Act as the primary link between Research, Product, and Engineering. You will oversee the development of experimental POCs to improve workflow efficiencies and ensure these innovations are successfully hardened and integrated into the platform
  • Frontier Data Research: Collaborate with academic and industry-leading AI labs to define the data-centric techniques that will help power the next generation of foundation models.
  • Strategic Roadmapping: Anticipate the next bottlenecks in the AI data (e.g., automated RLHF, agentic evaluation, or specialized model alignment) and pivot the team to develop the programmatic solutions that address them
  • Operational Excellence: Partner with the Operations team to validate research-driven workflows in real-world production environments, ensuring they scale across diverse and complex domain-specific tasks.
What We're Looking For
  • 5+ years of experience in applied AI, research or machine learning roles, with at least 4+ years of experience managing technical teams
  • A player coach who is willing to be hands-on with coding, research, customer-facing engagements
  • A proven track record of thriving in fast-paced, ambiguous environments, comfortable managing competing priorities across cross-functional stakeholders in Product, Engineering, and GTM
  • Enjoys solving real-world problems in the data space and bridging research and production
  • Strong, practical experience working with LLMs, agentic workflow
  • Bonus: Experience with data annotation workflows and/or building internal tooling for them