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Remote Indexer Jobs in California (NOW HIRING)

TigerGraph

Software Engineer

Milpitas, CA · On-site +1

$140K - $160K/yr

This position is primarily remote, but location-based requirements may apply. If the selected ... Drive the optimization of data ingestion, indexing, and query pipelines, leading performance ...

TigerGraph

Software Engineer

Milpitas, CA · On-site +1

$140K - $160K/yr

This position is primarily remote, but location-based requirements may apply. If the selected ... Drive the optimization of data ingestion, indexing, and query pipelines, leading performance ...

TigerGraph

Software Engineer

Milpitas, CA · On-site +1

$140K - $160K/yr

This position is primarily remote, but location-based requirements may apply. If the selected ... Drive the optimization of data ingestion, indexing, and query pipelines, leading performance ...

You.com

Senior Backend Engineer

San Francisco, CA · On-site +1

$200K - $250K/yr

Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI ... This is a remote position open to candidates based anywhere in the United States. We give ...

Adventist Health

Manager, Coding (Remote)

Roseville, CA · On-site +1

$98K - $148K/yr

Conducts trend analyses to identify patterns and variations in coding practices and case-mix-index. Monitors key coding performance indicators such as discharged, not final coded (DNFC), discharged ...

BayNova LLC

Appian Developer

Newark, CA · On-site +1

... fully remote / work from home role. Job Responsibilities: * Collect tactical knowledge about ... indexes, triggers, and data structure). * Manage daily work in the Atlassian suite of applications ...

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All JobsIndexer JobsRemote Indexer JobsRemote Indexer Jobs in California

Remote Indexer information

See California salary details

$10

$18

$28

How much do remote indexer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote indexer in California is $18.98, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $25.14 per hour, depending on experience, location, and employer.

What is a remote indexer?

A Remote Indexer is responsible for organizing, tagging, and categorizing data, documents, or digital content to improve searchability and accessibility. This role often involves analyzing information, applying metadata, and ensuring consistency based on specific guidelines. Remote Indexers typically work in industries like publishing, legal services, libraries, or data management. The job requires attention to detail, familiarity with indexing standards, and the ability to work independently from home.

What does a remote indexer do?

A typical day for a Remote Indexer involves reviewing large volumes of digital or physical content, assigning relevant keywords or codes, and entering this data into organizational systems. The role is highly independent, but indexers often collaborate with content managers, librarians, or project leads to clarify criteria and ensure consistency in indexing standards. Regular team check-ins or virtual meetings are common to discuss progress and address specific challenges. Since deadlines and accuracy are critical, effective communication and responsiveness to feedback are important aspects of daily work. Over time, experienced indexers may advance to roles such as lead indexer, metadata specialist, or digital content manager.

What skills and qualifications are needed to be a remote indexer?

To thrive as a Remote Indexer, you need excellent attention to detail, strong data organization skills, and the ability to accurately categorize and summarize diverse information, often supported by a degree in library science or a related field. Familiarity with industry-standard indexing software, databases, and digital content management systems is typically required. Exceptional time management, self-motivation, and clear written communication are important soft skills for success in a remote work environment. These capabilities ensure that information is accurately organized and accessible, supporting efficient retrieval and high-quality data management.

How much do remote indexers get paid?

Remote indexers typically earn between $10 and $20 per hour, depending on experience, the complexity of the indexing tasks, and the employer. Some positions may offer project-based pay or part-time schedules, with pay rates varying accordingly.

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

The most popular types of Indexer jobs in California are:

What are popular job titles related to Remote Indexer jobs in California?

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

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

The top searched job categories for Remote Indexer jobs in California are:

What cities in California are hiring for Remote Indexer jobs?

Cities in California with the most Remote Indexer job openings:

Remote Indexer jobs near you
Infographic showing various Remote Indexer job openings in California as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% Remote job distribution, with an average salary of $39,472 per year, or $19 per hour.

Software Engineer - AI Platform (US)

genious ai

Santa Clara, CA • On-site, Remote

Full-time

PTO

Re-posted 24 days ago

Job description

About us
We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key Responsibilities
  • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
  • Integrate model training, evaluation, deployment, and monitoring into product workflows
  • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
  • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
  • Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
  • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
  • Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
  • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
  • Own critical product components and take responsibility for delivering robust, production-grade features.
  • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
  • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
  • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • Strong software engineering background with proven experience shipping production systems.
  • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
  • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
  • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
  • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
  • Experience building and scaling backend platforms, APIs, and microservices.
  • Comfortable working full-stack, from model APIs down to user-facing integrations.
  • Have shipped AI features that users actually use; production experience over theoretical knowledge.
  • Track record of building reliable products with strong attention to detail and usability.
  • Autonomous and excited about taking ownership over major initiatives.
  • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points
  • Production experience with LLMs (APIs or custom implementations) at meaningful scale.
  • Experience building agentic systems or LLM-enabled products.
  • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
  • Experience with performance optimization and high-scale document indexing systems.
  • Prior startup experience, grit, and ability to thrive in fast-moving environments.
  • Familiarity with databases and comfortable writing SQL queries.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Perks
  • Competitive Compensation
  • Unlimited PTO
  • AI Assistants for work (Coding, General Purpose, etc.)

Apply