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Data Curator Jobs in Seattle, WA (NOW HIRING)

Waymo

Senior Software Engineer, Model Lifecycle

Kirkland, WA · Hybrid

$139K - $183K/yr

Build towards an automated, unified data flywheel -- a datagen and ingestion solution that seamlessly connects data curation to model training. * Develop infrastructure for Perception-wide model ...

Ai2

Research Scientist, Robotics

Seattle, WA · On-site

Preferred : • Research experience in related areas like large-scale multi-node training, training dynamics, efficiency, data curation, and multimodal model debugging, post-training methods, among ...

Ai2

Research Scientist, Robotics

Seattle, WA · On-site

Preferred : • Research experience in related areas like large-scale multi-node training, training dynamics, efficiency, data curation, and multimodal model debugging, post-training methods, among ...

Ai2

Research Scientist, Robotics

Seattle, WA · On-site

Preferred : • Research experience in related areas like large-scale multi-node training, training dynamics, efficiency, data curation, and multimodal model debugging, post-training methods, among ...

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Data Curator information

See Seattle, WA salary details

$29K

$82.7K

$136K

How much do data curator jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data curator in Seattle, WA is $82,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $107,000.00 per year, depending on experience, location, and employer.

What does a data curator do?

A Data Curator is responsible for collecting, organizing, and maintaining datasets to ensure they are accurate, accessible, and usable for analysis. They work with data scientists, analysts, and other stakeholders to standardize metadata, establish data governance policies, and improve data quality. Data Curators often clean and enrich datasets, manage data repositories, and ensure compliance with regulatory standards. Their role is essential in making data more discoverable and valuable for decision-making and research.

What does a typical day look like for a data curator, and who do they usually collaborate with?

A typical day for a Data Curator involves collecting, organizing, and annotating datasets, maintaining data integrity, and updating records to comply with quality standards. Data Curators frequently work alongside data analysts, researchers, and IT professionals to ensure data is properly structured and easily accessible for various projects. You may also interact with data stewards or subject matter experts to validate metadata or resolve inconsistencies. Collaboration and communication are integral to the role, as you help bridge technical teams and end users, ensuring that data systems meet the evolving needs of the organization.

What are the key skills and qualifications needed to thrive in the data curator position, and why are they important?

Success as a Data Curator requires strong analytical abilities, attention to detail, and a background in information management, data science, or a related field. Familiarity with data management tools, metadata standards (such as Dublin Core), and systems like relational databases and data repositories is highly advantageous, and certifications in data governance or data management can be beneficial. Excellent organizational skills, effective communication, and a collaborative mindset are key soft skills for this role. Mastery of these skills ensures data assets are accurately cataloged, accessible, and usable for stakeholders, supporting effective decision-making and research outcomes.

How do you become a data curator?

To become a data curator, individuals typically need a background in data management, information science, or related fields, along with skills in data organization, metadata standards, and database tools. Gaining experience through internships or entry-level roles in data management and obtaining certifications such as Certified Data Management Professional (CDMP) can also enhance prospects.

Is a data curator a good job?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within organizations, often using tools like databases and data management software. The role can offer stable employment, opportunities for specialization, and requires skills in data analysis and attention to detail. Job satisfaction depends on individual interests in data management and the industry environment.

What are the most commonly searched types of Data Curator jobs in Seattle, WA?

The most popular types of Data Curator jobs in Seattle, WA are:

What are popular job titles related to Data Curator jobs in Seattle, WA?

For Data Curator jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Curator jobs in Seattle, WA look for?

The top searched job categories for Data Curator jobs in Seattle, WA are:

Data Curator jobs near you
Infographic showing various Data Curator job openings in Seattle, WA as of August 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $82,651 per year, or $39.7 per hour.

Principal Scientist - Data Pipeline Engineer

Seattle, WA

Adobe
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 247 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Adobeexternal

Full-time

Re-posted 14 days ago

Job description

ABOUT THE ROLE

We'relookingfor a PrincipalMLEngineer to architect and scale themultimodaldataprocessingpipelines and infrastructure behind Adobe Firefly's multimodal foundation models (image, video, audio). In this role,you'llsit at the intersection of data engineering and applied ML building distributed, GPU-accelerated systems that turn billions of raw assets into training-ready data at scale.

Your work will directlydeterminehow fast and how wellAdobemodels can learndirectlyimpactedbythe throughput and reliability of our data pipelines, and thequality of data that reaches training. This is a senior individual contributor role with broad technical influence across data, infrastructure, and modeling teams.

WHAT YOU'LL DO

OPTIMIZE DATA PROCESSING PIPELINES AT SCALE

  • Architect andoptimizelarge-scaledistributed pipelines that process billions of images, video, and audio assetsthrough ML workflowsinto training-ready data

  • Scale up inference throughput across the pipeline(batching, parallelism, hardwareutilization)to turn raw collected data into training data faster and more cheaply

  • Identifyandeliminatebottlenecks across ingestion, processing, and delivery, from storage and I/O to compute scheduling

ARCHITECTSCALABLE DATA INFRASTRUCTURE

  • Design systems that reliably store, index, and serve billions of data points, each requiring substantial processingspanning large-scale databases, distributed storage, and high-throughput compute

  • Apply deepexpertisein distributed systems and frameworks such as Ray (or equivalent) to orchestrate large-scale, GPU/CPU-heavy data workloads

  • Own architecture decisionsincludingdatabase and storage choices, job scheduling, GPU clusterutilizationthat let the platform scale alongside data and model growth

DRIVE DATA CURATION FOR MODEL TRAINING

  • Bring a strong ML background,especially inference optimization for VLMs and LLMsanddatacurationfor training

  • Partner closely with modeling teams to understand what dataimprovestraining outcomes, and translate that into pipeline and curation requirements

  • Operate as a hands-on technical leader who bridges data engineering and applied ML

WHAT YOU NEED TO SUCCEED

  • 10+ years of experience in data engineering, ML infrastructure, or distributed systems, including work at large scale (billions of records or assets)

  • Strong software engineering background, with hands-onexpertisein distributed systems and frameworks such as Ray, Spark, or equivalent large-scaledataprocessing frameworks

  • Proficiencyin Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java) with strong debugging skills across distributed and ML-centric runtime environments.

  • Deep knowledge of databases and storage systems at scalesuch asdata lakes, indexing, and retrieval across billions of data points

  • Strong ML background, particularlyexpertiseinoptimizingGPU inference pipelines for VLMs, LLMs, or other large models (batching, quantization, serving, throughput/latency tradeoffs)

  • Experience with data curation for model training:understanding what makes data valuable for training generative or multimodal models, not just how to move it efficiently

  • Comfortoperatingacross the full stack, from low-level systems and GPU optimization to higher-level data strategy and curation decisions

  • Ability to communicate clearly and partner effectively across data, infrastructure, and modeling teams

  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $206,300 -- $388,000 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $268,000 - $388,000 In Washington, the pay range for this position is $247,200 - $357,900

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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Benefits

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