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Metadata Library Jobs in Fremont, CA (NOW HIRING)

CYNET SYSTEMS

Digital Events Producer

Santa Clara, CA · On-site

$55 - $57/hr

Manage speaker intake, content submissions, and asset reviews; maintain a content library for all recorded sessions. * Ensure VOD content is cataloged and published on time, including metadata ...

Jobless

Preclinical Program Coordinator

San Jose, CA · On-site

$90 - $120/hr

Our OGAP ® platform is the world's largest, cancer specific, membrane protein library, directly ... Support consistent use of document naming conventions, metadata, document status fields, and ...

New

MOST

Preclinical Program Coordinator

San Jose, CA · On-site

$35 - $45/hr

Our OGAP platform is the world's largest, cancer specific, membrane protein library, directly ... Support consistent use of document naming conventions, metadata, document status fields, and ...

MOST

Preclinical Program Coordinator

San Jose, CA · On-site

$35 - $45/hr

Our OGAP ® platform is the world's largest, cancer specific, membrane protein library, directly ... Support consistent use of document naming conventions, metadata, document status fields, and ...

Merge Labs

Scientific Data Engineer

San Francisco, CA · On-site

$185K - $225K/yr

Our work spans reusable analysis libraries, data models, workflow infrastructure, and tools for ... Define data models for raw data, experimental metadata, derived results, and analysis provenance ...

Agility Robotics

CAD Administrator

Fremont, CA

Organize and maintain CAD libraries About You * 10-15 years of hands-on experience with Creo/ Windchill, including practical ownership of vault structure, workflows, permissions, metadata, custom ...

Agility Robotics

CAD Administrator

Fremont, CA · On-site +1

Organize and maintain CAD libraries About You * 10-15 years of hands-on experience with Creo/ Windchill, including practical ownership of vault structure, workflows, permissions, metadata, custom ...

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All JobsMetadata Library JobsMetadata Library Jobs in Fremont, CA

Metadata Library information

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How much do metadata library jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for metadata library in Fremont, CA is $20.45, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.17 per hour, depending on experience, location, and employer.

What is a metadata librarian?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

What skills and qualifications are needed to thrive as a metadata librarian?

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.

What are common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

What are popular job titles related to Metadata Library jobs in Fremont, CA?

For Metadata Library jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Metadata Library jobs in Fremont, CA look for?

The top searched job categories for Metadata Library jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Metadata Library jobs?

Cities near Fremont, CA with the most Metadata Library job openings:

Metadata Library jobs near you
Infographic showing various Metadata Library job openings in Fremont, CA as of August 2026, with employment types broken down into 61% Full Time, 22% Part Time, 5% Temporary, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,537 per year, or $20.5 per hour.

Software Engineer, Research Data Platform

Anthropic

San Francisco, CA

$134K - $162K/yr

Full-time

Posted 17 days ago

Job description

About the role

The Research Data Platform team builds the tools that Anthropic's researchers use every day to manage, query, and analyze the data that goes into training and evaluating frontier models. We power the internal applications researchers rely on to monitor RL runs, explore finetuning datasets, and understand what's happening inside their experiments.

We're looking for engineers who love working directly with users and who excel at building data products - the pipelines that move data out of training runs into queryable storage, and the APIs, libraries, and services researchers use to manage and explore it. This role sits closer to the research workflow than a typical data infrastructure position: you'll often embed with research teams, build ML-specific tooling alongside them, and leverage what our Data Infrastructure team has already built rather than reinventing it.

We do not require prior ML or AI training experience. If you enjoy working closely with technical users, learning new domains quickly, and building tools people actually want to use, you'll pick up the research context fast.

Responsibilities
  • Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
  • Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
  • Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
  • Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
  • Collaborate with adjacent teams to build on existing systems rather than reinventing them
You may be a good fit if you
  • Have significant software engineering experience, particularly building data-intensive applications or internal tooling
  • Enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted
  • Are results-oriented, with a bias towards flexibility and impact
  • Pick up slack, even if it goes outside your job description
  • Want to learn more about machine learning research
  • Care about the societal impacts of your work
Strong candidates may also have experience with
  • Large-scale ETL, columnar storage formats, and query engines (e.g., Spark, BigQuery, DuckDB, Parquet)
  • High-volume time series data - ingestion, storage, and efficient querying
  • Data cataloging, lineage, or metadata management systems
  • ML experiment tracking or metrics platforms
  • Working in environments where engineers partner closely with quantitative users - research labs, trading firms, observability or analytics startups
  • Complex data visualization and full-stack web application development

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