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Indexing Jobs in California (NOW HIRING)

You.com

Senior Search Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

Design and Implement Scalable Indexing Systems: Architect, prototype, and maintain efficient, robust, and distributed indexing pipelines for web-scale data. * Advance Search Retrieval/Ranking:

Quizlet, Inc

Sr Backend Engineer

San Francisco, CA · On-site

$167K - $219K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own index design - mappings, analyzers, sharding strategy, and lifecycle management - balancing indexing throughput, query latency, and storage cost. * Build and operate the infrastructure for hybrid ...

You.com

Senior Search Engineer

San Francisco, CA · On-site +1

$190K - $260K/yr

  • Medical

  • Retirement

  • PTO

Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large ...

De Circle

Odos - Integrations

San Francisco, CA · On-site +1

$122K - $164K/yr

You'll also contribute to performance tuning of our indexing backend and support the ongoing evolution of our routing system. What You'll Do * Lead new protocol integrations from scoping to ...

Sonsoft Inc

Datastage Consultant

Agoura Hills, CA · On-site

Hands on Knowledge on Teradata Concepts - Primary Index, Partitioned Primary Index, Secondary Index , Join Index and Compression Techniques * Understand the Concept of Locking Mechanisms in Teradata

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How much do indexing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for indexing in California is $18.77, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.11 per hour, depending on experience, location, and employer.

What is indexing and what does an indexer do?

Indexing is the process of creating organized listings or databases to help users quickly locate information within books, articles, databases, or digital content. An indexer analyzes text or data and identifies key topics, names, and concepts, then creates an index or tagging system that makes retrieval easy and efficient. Indexers may work with printed publications, library catalogs, databases, or online platforms, and their work is crucial for effective information management and discovery.

What are the key skills and qualifications needed to thrive as an indexer, and why are they important?

To thrive as an Indexer, you need strong attention to detail, excellent language and analytical skills, and typically a background in library science or information management. Familiarity with indexing software (such as CINDEX or SKY Index), taxonomies, and metadata standards is often required. Strong organizational abilities, time management, and the capacity to interpret complex information are essential soft skills. These competencies ensure the creation of accurate, user-friendly indexes that enhance information retrieval and usability for end users.

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

Indexing professionals often encounter challenges such as managing large volumes of data, maintaining accuracy under tight deadlines, and adapting to evolving indexing standards or software. To address these, it’s important to develop strong organizational skills, stay updated with industry guidelines, and become proficient in the latest indexing tools. Regular communication with editors and subject matter experts also helps ensure that the index meets the needs of the target audience and maintains high quality.

What is the difference between Indexing vs Cataloging?

AspectIndexingCataloging
CredentialsTypically requires library science or information science degreesOften requires similar degrees, with emphasis on classification systems
Work EnvironmentLibraries, archives, digital databasesLibraries, museums, archives, digital repositories
PurposeOrganize information for quick retrievalCreate detailed records for identification and classification
Common UsageIndexing is used for search optimization and quick accessCataloging is used for detailed record-keeping and classification

Indexing and cataloging are related but distinct roles in information management. Indexing focuses on creating searchable entries for quick retrieval, while cataloging involves detailed classification and record creation for comprehensive organization. Both are essential in library and information sciences, often overlapping in skills and environment.

How do you become an indexer?

To become an indexer, you typically need strong reading and organizational skills, attention to detail, and familiarity with indexing software or tools. Many indexers gain experience through training programs, online courses, or by working in related fields such as editing or publishing. Building a portfolio and joining professional associations can also help establish credibility in the field.

What are the most commonly searched types of Indexing jobs in California?

The most popular types of Indexing jobs in California are:

What are popular job titles related to Indexing jobs in California?

For Indexing jobs in California, the most frequently searched job titles are:

What job categories do people searching Indexing jobs in California look for?

The top searched job categories for Indexing jobs in California are:

What cities in California are hiring for Indexing jobs?

Cities in California with the most Indexing job openings:

Indexing jobs near you
Infographic showing various Indexing job openings in California as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $39,035 per year, or $18.8 per hour.

Senior Search Engineer

You.com

San Francisco, CA • On-site, Remote

$123K - $169K/yr

Full-time

Re-posted 17 days ago

Job description

You.com is an AI Infrastructure company and designed to empower customers with the highest quality search and AI tools. At You.com, we are on a mission to create the most helpful search engine in the world-one that prioritizes transparency, privacy, and user control.

We're building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At You.com, you'll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you're ready to make a difference and help us revolutionize the way people search and work, we'd love to have you join us!

About the Role

As a Search Engineer at You.com, you will blend deep analytical thinking with practical engineering skills to investigate, develop, and implement novel solutions for our search indexing systems. Your work will focus on advancing the core technology that powers our search engine, ensuring that our index is comprehensive, up-to-date, and optimized for speed and relevance. You will collaborate closely with cross-functional teams to translate complex research into practical, scalable applications.

This is a remote position open to candidates based in the United States. We also have co-working spaces in the San Francisco Bay Area and New York.

Responsibilities

  • Design and Implement Scalable Indexing Systems: Architect, prototype, and maintain efficient, robust, and distributed indexing pipelines for web-scale data.
  • Advance Search Retrieval/Ranking: Research and apply state-of-the-art methods (NLP, ranking, ML) to improve index quality, freshness, and retrieval performance.
  • Collaborate Across Teams: Work closely with data engineers, ML engineers, and product teams to integrate novel features and user signals into the search systems.
  • Profound love for Speed and Efficiency: Profile and optimize indexing workflows for low latency and high throughput.
  • Evaluate and Benchmark: Define success metrics, run experiments, and analyze results to guide development and measure impact.
  • Stay Current: Keep up with the latest research in information retrieval, large language models, and distributed systems-bringing fresh ideas to You.com's search stack.

Qualifications

  • Proven experience in search indexing, information retrieval, or large-scale data systems.
  • Strong programming skills in Rust/ C++ (for high performance) and Python
  • Solid understanding of algorithms, data structures, and distributed systems.
  • Experience with experimental design, prototyping, and translating research into production.
  • Excellent analytical, problem-solving, and communication skills.
  • Practical experience equivalent or equal to a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Apply