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Metadata Tagging Jobs in California (NOW HIRING)

Technical Writer/Editor III

Poway, CA · On-site

$73K - $128K/yr

Author, edit, and manage structured S1000D data modules within CSDB environments, applying information codes, metadata tagging, publication modules, and content reuse strategies. * Apply ASD-STE100 ...

Author, edit, and manage structured S1000D data modules within CSDB environments, applying information codes, metadata tagging, publication modules, and content reuse strategies. * Apply ASD-STE100 ...

Ensure VOD content is cataloged and published on time, including metadata, tagging, and closed captioning. Nice to Have: * Background in internal corporate communications, engineering all-hands, or ...

Ability to apply proper metadata tagging and digital asset management practices. * Experience operating professional-grade cameras, lighting, and video equipment. * Ability to deliver files in ...

Ability to apply proper metadata tagging and digital asset management practices. * Experience operating professional-grade cameras, lighting, and video equipment. * Ability to deliver files in ...

Ability to apply proper metadata tagging and digital asset management practices. * Experience operating professional-grade cameras, lighting, and video equipment. * Ability to deliver files in ...

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Metadata Tagging information

What are the key skills and qualifications needed to thrive as a Metadata Tagging Specialist, and why are they important?

To thrive as a Metadata Tagging Specialist, you need a solid understanding of information organization, taxonomy standards, and attention to detail, often supported by a degree in library science, information management, or a related field. Familiarity with metadata management tools, content management systems (CMS), and standards like Dublin Core or schema.org is typically required. Strong analytical thinking, organizational skills, and the ability to communicate clearly with content creators make someone stand out in this role. These skills ensure that digital assets are accurately categorized and easily retrievable, enhancing discoverability and workflow efficiency.

What is metadata tagging?

Metadata tagging is the process of assigning descriptive information, or 'tags,' to digital content to make it easier to organize, search, and retrieve. These tags can include keywords, categories, dates, authors, and other relevant data points. Accurate metadata tagging improves the discoverability of content in databases, websites, and digital libraries, supporting better information management. It's a crucial task for industries dealing with large volumes of digital assets, such as media, publishing, and e-commerce.

What are some common challenges faced by professionals in metadata tagging, and how can they be addressed?

One of the main challenges in metadata tagging is ensuring consistency and accuracy across large volumes of digital assets, especially when multiple team members are involved. Discrepancies can lead to difficulties in asset retrieval and negatively impact workflows. Adopting standardized metadata schemas, using controlled vocabularies, and regularly reviewing tagging practices can help mitigate these issues. Collaboration with content creators and IT teams is also essential to align tagging strategies with organizational goals and technical requirements.
What cities in California are hiring for Metadata Tagging jobs? Cities in California with the most Metadata Tagging job openings:

Senior Clinical BA Pharma

Cloud think technologies LLC

Foster City, CA • On-site

$107K - $139K/yr

Contractor

Re-posted 13 days ago


Job description

Looking for around 15 – 20 years of overall experience, someone who can lead and drive the entire project

A Senior Software Lead Business Analyst is needed to play a crucial role in connecting business requirements to technical solutions. 

This role involves engaging with stakeholders to gather and analyze requirements, transforming them into actionable functional specifications. 

Responsibilities include evaluating existing processes, offering solutions to drive business value, and ensuring project success under tight timelines.

1. Pharma & Lab Knowledge

Understanding of pharmaceutical development, lab operations, and instruments (e.g., HPLC, LIMS, ELN, EMPOWER).

2. Data Integration

Experience with Tetrascience platform, APIs, and building/managing ETL/data pipelines.

3. Ontology & Standards

Familiarity with Allotrope Ontology, semantic data modelling, and metadata tagging.

4. Data Science Collaboration

Ability to interpret business needs into data requirements; basic grasp of data science tools and workflows.

5. Business Analysis (BA) Fundamentals

Proficiency in requirement gathering, stakeholder management, and documenting business processes.