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Accelerated Reader Jobs in California (NOW HIRING)

TCWGlobal

Senior Technical Writer

San Francisco, CA · Remote

$60 - $75/hr

In this role, you will accelerate the delivery of clear, accurate, publication-ready developer ... If you're comfortable reading code, testing APIs, working in GitHub and Markdown, and partnering ...

TCWGlobal

Senior Technical Writer

San Francisco, CA · Remote

$60 - $75/hr

In this role, you will accelerate the delivery of clear, accurate, publication-ready developer ... If you're comfortable reading code, testing APIs, working in GitHub and Markdown, and partnering ...

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All JobsAccelerated Reader JobsAccelerated Reader Jobs in California

Accelerated Reader information

See California salary details

$11

$19

$32

How much do accelerated reader jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for accelerated reader in California is $19.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $21.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Accelerated Reader position, and why are they important?

To excel as an Accelerated Reader program facilitator, you need a background in education or literacy support, strong reading comprehension skills, and familiarity with youth learning strategies. Proficiency in using the Accelerated Reader (AR) software and data-tracking systems is essential for monitoring student progress. Patience, encouragement, and strong communication abilities are vital soft skills, helping students feel supported and motivated. These skills ensure students' reading development is effectively tracked and nurtured, maximizing literacy outcomes in classroom or library settings.

What is an Accelerated Reader job?

An Accelerated Reader job typically involves managing and supporting the Accelerated Reader (AR) program in a school or library setting. Responsibilities may include assisting students with book selection, administering quizzes, tracking reading progress, and encouraging literacy development. This role often requires strong organizational skills, familiarity with AR software, and a passion for promoting reading engagement.

What are the typical responsibilities of someone working with the Accelerated Reader program?

Professionals managing the Accelerated Reader program typically administer reading assessments, guide students in selecting appropriate books, and monitor reading progress through regular software reports. They collaborate closely with teachers and librarians to align reading activities with curriculum goals and provide individualized support to students who need extra assistance. Daily tasks often include setting reading targets, organizing recognition activities, and troubleshooting technical issues that arise with the AR platform. This role is pivotal in fostering a positive reading culture and ensuring students achieve measurable literacy milestones.

What are popular job titles related to Accelerated Reader jobs in California? For Accelerated Reader jobs in California, the most frequently searched job titles are:
What job categories do people searching Accelerated Reader jobs in California look for? The top searched job categories for Accelerated Reader jobs in California are:
What cities in California are hiring for Accelerated Reader jobs? Cities in California with the most Accelerated Reader job openings:
Accelerated Reader jobs near you
Senior Software Engineer, Vector Index Research

Senior Software Engineer, Vector Index Research

Zilliz

Redwood City, CA • On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.


The Vector Index team focuses on building the core vector retrieval capabilities behind Milvus, Zilliz Cloud, and Vector Lakebase. We work on making similarity search over massive embedding datasets faster, more accurate, and more cost-efficient, while continuously advancing ANN algorithms, index structures, quantization, compression, recall optimization, CPU/GPU acceleration, and high-performance retrieval frameworks.

This role sits at the intersection of research and engineering. You will read papers, evaluate new algorithms, build prototypes, and turn promising ideas into production-grade vector indexing and retrieval systems. We are looking for engineers who enjoy research, but also have strong engineering fundamentals, performance optimization skills, and engineering taste.

What you'll do:
  • Research, evaluate, and implement new vector indexing and retrieval algorithms for Milvus, Zilliz Cloud, and Vector Lakebase
  • Read papers and track emerging work in vector search, ANN algorithms, index structures, quantization, compression, reranking, GPU acceleration, and AI retrieval systems
  • Build high-performance vector indexing components, including index building, query paths, vector preprocessing, quantization, compression, memory layout, and CPU/GPU acceleration
  • Optimize vector retrieval performance across latency, throughput, recall, memory usage, index build time, and cost efficiency
  • Design benchmarks and evaluation frameworks to compare algorithms and implementations under real data scale, real query patterns, and real AI workloads
  • Debug and solve complex performance issues across algorithm implementation, CPU/GPU execution, SIMD/vectorization, memory access, concurrency, and I/O
  • Turn research prototypes into maintainable, testable, and evolvable production-grade indexing capabilities
  • Use AI tools across the research and engineering workflow, including paper analysis, prototype generation, code implementation, testing, benchmarking, documentation, and performance analysis
What we're looking for:
  • 3+ years of experience in vector search, ANN algorithms, search systems, high-performance computing, or performance-critical systems
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
  • Strong C++ or Rust programming ability and solid engineering fundamentals
  • Experience with vector similarity search, ANN algorithms, index structures, quantization, compression, reranking, or high-performance retrieval systems is a strong plus
  • Strong interest in research-driven engineering: reading papers, evaluating tradeoffs, building prototypes, and turning ideas into production systems
  • Experience with performance optimization and systematic debugging is a strong plus, especially around CPU/GPU execution, SIMD, memory layout, concurrency, I/O, or large-scale data processing
  • Interest in using AI tools to improve research, coding, testing, benchmarking, documentation, and performance analysis
How we operate:
  • Research-driven, production-focused: We track frontier algorithms, but care most about whether they work under real data scale, real query patterns, and real production constraints
  • Extreme performance: We care about every memory access, every query path, and every tradeoff between recall and latency
  • AI-first engineering: We actively use AI to accelerate paper reading, prototyping, coding, testing, documentation, and performance analysis, but human judgment and engineering taste still matter most
  • Fast and pragmatic: We work on hard vector indexing and retrieval problems, but we ship them into Milvus, Zilliz Cloud, and Vector Lakebase
  • Open source by default: Milvus is a core part of our engineering culture, and strong indexing capabilities should stand up to public design, code, and community usage
Benefits:
  • Competitive compensation (cash + equity)
  • Regular bonus and equity refresh opportunities
  • Medical, dental, and vision insurance
  • Paid time off, including vacation, sick leave, and global reset/wellbeing days
  • Generous 401(k) and regional retirement plans
$175,000 - $250,000 a year

Zilliz is an Equal Opportunity Employer and welcomes people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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