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Remote Research Director Jobs in San Rafael, CA (NOW HIRING)

Figma

Director, Research - AI Evals

San Francisco, CA · On-site +1

The Figma Research team is hiring an Director, Research - AI Evals to own how we measure the quality of Figma's AI-powered experiences. As Figma ships more AI capabilities across our products, the ...

Nourish

Research Associate

San Francisco, CA · On-site +1

This role is full-time and open to NYC-based or remote candidates. Our office is located in ... Manuscript writing experience is a plus. * You're self-directed and fast-orienting -- You get up to ...

YO AI Labs

Design Expert - Remote

San Francisco, CA · On-site +1

$30 - $70/hr

Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted ... Product design, UX/UI, design systems, component libraries, research, and usability. No formal ...

CopilotIQ

Medical Director

San Francisco, CA · Remote

The Medical Director provides day-to-day clinical oversight of our remote care programs, guiding ... Review and recommend updates to clinical guidelines based on new research and evolving standards of ...

InsightRX

Account Director

San Francisco, CA · Remote

This is a remote position , open to candidates based anywhere in the U.S. who are comfortable ... researchers predict drug response and optimize dosing to improve patient outcomes. Our mission is ...

OpenAI

Account Director, GSIs & Consulting

San Francisco, CA · On-site +1

$189K - $240K/yr

... researchers, engineers, and solution strategists to bring these capabilities to market. * You'll be ... We are open to US-based remote candidates. In this role, you'll: * Manage a small number of ...

Danaher

Global Strategic Account Director

San Francisco, CA · Remote

$150K - $180K/yr

... research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva ... remote. What you will do: * Develop and lead strategy, partnerships and teams supporting Cytiva ...

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All JobsResearch JobsRemote Research Director JobsRemote Research Director Jobs in San Rafael, CA

Remote Research Director information

See San Rafael, CA salary details

$64.1K

$213.3K

$256.9K

How much do remote research director jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote research director in San Rafael, CA is $213,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,000.00 and $255,300.00 per year, depending on experience, location, and employer.

What does a remote research director do?

A Remote Research Director leads and manages research projects and teams from a remote location. Their responsibilities include designing research strategies, overseeing data collection and analysis, and ensuring research objectives are met. They coordinate with stakeholders, manage budgets, and ensure the quality and integrity of research outputs. Working remotely, they utilize digital collaboration tools to communicate effectively with their teams and clients.

How does a remote research director effectively manage and collaborate with distributed research teams?

A Remote Research Director typically leverages digital collaboration tools such as project management platforms, video conferencing, and shared document repositories to coordinate research activities across different locations. Regular virtual meetings, clear communication protocols, and well-defined project milestones help maintain team alignment and productivity. While managing remote teams can present challenges like time zone differences and fostering team cohesion, successful directors prioritize transparent communication and support professional development to build an engaged, high-performing team. This collaborative approach ensures research objectives are met efficiently, even in a fully remote environment.

What are the key skills and qualifications needed to thrive as a remote research director, and why are they important?

To thrive as a Remote Research Director, you need advanced expertise in research methodologies, data analysis, project management, and typically a graduate degree in a relevant field. Familiarity with statistical software (such as SPSS or R), collaborative platforms, and data visualization tools is crucial. Exceptional leadership, communication, and strategic thinking skills set outstanding candidates apart, especially in a virtual environment. These abilities ensure effective oversight of research projects, cohesive remote teamwork, and impactful, data-driven decision-making.

What is the difference between Remote Research Director vs Remote Data Analyst?

AspectRemote Research DirectorRemote Data Analyst
Required CredentialsAdvanced degrees in research, management experienceBachelor's or master's in data analysis, statistics
Work EnvironmentLeads research teams, strategic planningAnalyzes data sets, reports findings
Employer & Industry UsageResearch firms, corporations, academiaBusiness, marketing, healthcare sectors
Common Search & ComparisonStrategic research roles, leadershipData analysis, reporting roles

The Remote Research Director focuses on leading research initiatives and managing teams, requiring advanced degrees and strategic oversight. In contrast, a Remote Data Analyst primarily analyzes data sets to generate insights, often with a background in statistics. Both roles are vital in data-driven industries but differ in scope, responsibilities, and required experience.

What are the most commonly searched types of Remote Research jobs in San Rafael, CA?

The most popular types of Remote Research jobs in San Rafael, CA are:

What job categories do people searching Remote Research Director jobs in San Rafael, CA look for?

The top searched job categories for Remote Research Director jobs in San Rafael, CA are:

What cities near San Rafael, CA are hiring for Remote Research Director jobs?

Cities near San Rafael, CA with the most Remote Research Director job openings:

Remote Research Director jobs near you
Infographic showing various Remote Research Director job openings in San Rafael, CA as of June 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $213,266 per year, or $102.5 per hour.

Director, Research - AI Evals

Figma

San Francisco, CA • On-site, Remote

Full-time

Re-posted 25 days ago

Key responsibilities

  • Own AI evaluation methods and operations for Figma's AI-powered experiences, including defining quality dimensions and designing measurement approaches

  • Build and maintain evaluation frameworks, rubrics, datasets, and quality standards, combining human and automated/model-based evaluation methods

  • Partner with engineering to establish repeatable evaluation pipelines and regression testing to integrate evaluation into AI feature development and deployment

Job description

The Figma Research team is hiring an Director, Research - AI Evals to own how we measure the quality of Figma's AI-powered experiences. As Figma ships more AI capabilities across our products, the question "is this really good?" has never mattered more - and answering it rigorously is what this role exists to do. You'll define what "good" means for our AI features, build the frameworks and quality bars to measure it, and turn that into trusted signal that product teams rely on to decide what to ship.

The ideal candidate brings deep, hands-on experience evaluating AI/LLM-powered products - blending human evaluation with automated, model-based approaches - along with the product instinct and communication skills to make evaluation genuinely useful. Partnering with Product, Design, Engineering, and Data Science, you'll sit upstream of nearly every AI shipping decision at Figma and directly shape the quality of features used by millions of people.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

  • Own AI evaluation methods and operations for Figma's AI-powered experiences - define quality dimensions, design how we measure them, and turn results into decision-ready signal
  • Build and maintain evaluation frameworks, rubrics, golden datasets, and quality bars, combining human evaluation with automated/model-based approaches (e.g., LLM-as-judge) where appropriate
  • Partner with engineering to stand up repeatable, reproducible evaluation pipelines and regression testing, so evaluation is a routine part of how AI features are built and shipped
  • Produce clear readouts and dashboards that let stakeholders confidently make go/no-go and prioritization decisions
  • Socialize a shared definition of quality so evaluation standards are adopted across teams rather than re-invented - and advocate for evaluation as a strategic partner in the product process
  • Manage a small team to execute our AI evals in partnership with contractors, internal staff, and/or LLMs

We'd love to hear from you if you have:

  • 10+ years of experience in product, research, applied research, or a closely related field, including 2+ years of management experience
  • Direct, hands-on experience owning the evaluation of AI/LLM-powered products
  • Expertise designing and running AI evaluation - human evaluation programs, rubric and benchmark/golden-dataset construction, inter-rater reliability - and sound judgment about when and how to apply automated/model-based approaches (e.g., LLM-as-judge), including their limitations
  • Strength across both qualitative and quantitative methods, comfort with data and metrics, and the ability to reason about model behavior
  • Demonstrated success in identifying the riskiest assumptions behind an ambiguous quality question, prioritizing them, and designing right-sized evaluation to build confidence
  • A proven track record of gaining buy-in from executive and cross-disciplinary stakeholders - transcending methodology to articulate a larger user story and the "so what" to inspire action

While it's not required, it's an added plus if you also have:

  • Experience building or co-building automated evaluation pipelines and regression testing in partnership with engineering, or familiarity with eval tooling (e.g., Braintrust, LangSmith, DeepEval, or equivalents)
  • Experience standing up a new function, practice, or discipline from scratch
  • 2+ years in product design, user-centric product management, data science, product development, and/or front-end engineering
  • A familiarity and depth of experience using Figma's products
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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