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Remote Search Quality Rater Jobs in California (NOW HIRING)

GR0

Director, Paid Search

Los Angeles, CA · Remote

$130K - $140K/yr

Maintain SOPs and QA, plan capacity ahead of crunch, and bring data and recommendations (not just ... Proven leadership of high-performing teams, including remote or offshore contributors * Sharp ...

GR0

Director, Paid Search

Los Angeles, CA · On-site +1

$130K - $140K/yr

Maintain SOPs and QA, plan capacity ahead of crunch, and bring data and recommendations (not just ... Proven leadership of high-performing teams, including remote or offshore contributors * Sharp ...

ClosedWon, Inc.

As a Quality Analyst, you will enrich leads for our clients and ensure that quality is on par with ... Tomorrow, we will build a Sales Coach AI that accelerates the rate of human connections.

TEKsystems

Remote Ontologist

San Francisco, CA · Remote

$65/hr

... search, and knowledge representation needs. * Collaborate with Stakeholders: Partner with project ... schedule and meet quality standards. Required Qualifications * Experience designing and ...

New

LinkedIn

Senior Manager- AI Search Analytics

Sunnyvale, CA · On-site +1

$138K - $225K/yr

This role is based in either San Francisco, Sunnyvale, Mountain View, New York, Chicago or Remote ... quality assessment and business impact modeling where traditional analytics approaches are ...

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All JobsSearch Quality Rater JobsRemote Search Quality Rater JobsRemote Search Quality Rater Jobs in California

Remote Search Quality Rater information

What are some common challenges Remote Search Quality Raters face when evaluating search engine results?

Remote Search Quality Raters often encounter challenges such as interpreting ambiguous queries, staying updated on evolving search guidelines, and ensuring consistency across diverse types of content. Since raters work independently and remotely, time management and self-motivation are crucial to maintain productivity. Additionally, balancing speed with accuracy is essential, as raters are expected to meet quality benchmarks while handling a variety of tasks each day.

What are Remote Search Quality Raters?

Remote Search Quality Raters are individuals hired to evaluate the quality and relevance of search engine results. They work from home, typically on a flexible schedule, and use specific guidelines provided by search engine companies to assess whether search results meet user needs. Their feedback helps improve search algorithms and overall user experience. This role does not involve coding or direct interaction with users, but rather focuses on analyzing and rating search queries, web pages, and advertisements.

What are the key skills and qualifications needed to thrive as a Remote Search Quality Rater, and why are they important?

To excel as a Remote Search Quality Rater, you need strong analytical skills, attention to detail, and proficiency in web research, typically requiring at least a high school diploma or equivalent. Familiarity with search engines, web browsers, and company-specific rating guidelines is crucial, as well as the ability to quickly learn proprietary evaluation platforms. Excellent communication, time management, and self-motivation are important soft skills for meeting productivity targets while working independently. These competencies ensure accurate and consistent evaluations, which are critical for improving search engine algorithms and user experience.
What are the most commonly searched types of Search Quality Rater jobs in California? The most popular types of Search Quality Rater jobs in California are:
What are popular job titles related to Remote Search Quality Rater jobs in California? For Remote Search Quality Rater jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Search Quality Rater jobs in California look for? The top searched job categories for Remote Search Quality Rater jobs in California are:
What cities in California are hiring for Remote Search Quality Rater jobs? Cities in California with the most Remote Search Quality Rater job openings:
Remote Search Quality Rater jobs near you
Infographic showing various Remote Search Quality Rater job openings in California as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.
Senior Software Engineer (Search / Retrieval)

Senior Software Engineer (Search / Retrieval)

Workato

Palo Alto, CA • On-site, Remote

$144K - $189K/yr

Full-time

Re-posted 9 days ago

Job description

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an "enterprise startup to bet your career on"

  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

Responsibilities

We are looking for an exceptional Senior Software Engineer (Search / Retrieval) to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You'll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be responsible to:

  • Lead the development of advanced our search cluster that can scale to millions of documents across customers and data sources

  • Deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback.

  • Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval.

  • Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing.

  • Drive improvements in query construction, indexing and search performance

  • Be up-to-date with the latest improvements in search and indexing technologies

  • Collaborate with product and applied research teams to translate user needs into data-informed search innovations

  • Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack.

RequirementsQualifications / Experience / Technical Skills

  • Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.

  • 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields

  • Strong proficiency in Python

  • Hands-on experience with search engines (Opensearch or Elasticsearch)

  • Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)

  • Experience with text processing, NLP, and relevance tuning

  • Experience with relevance evaluation metrics (NDCG, MRR, MAP)

  • Experience with large-scale distributed systems

  • Strong analytical and problem-solving skills

Soft Skills / Personal Characteristics

  • Strong communication abilities to explain technical concepts

  • Collaborative mindset for cross-functional team work

  • Detail-oriented with strong focus on quality

  • Self-motivated and able to work independently

  • Passion for solving complex search problems

(REQ ID: 2272)