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Library Digitization Assistant Jobs in Santa Clara, CA

Apple

CPU Implementation Engineer

Santa Clara, CA · On-site

... assist with design feasibility and power, performance, and area (PPA) trade-offs • Drive RTL-to ... memory macros, library standard cells to improve design PPA Minimum Qualifications Minimum BS ...

Apple

CPU Implementation Engineer

Santa Clara, CA · On-site

... assist with design feasibility and power, performance, and area (PPA) trade-offs • Drive RTL-to ... library standard cells to improve design PPA Minimum Qualifications Minimum BS and 3+ years of ...

Apple

CPU Implementation Engineer

Santa Clara, CA · On-site

... assist with design feasibility and power, performance, and area (PPA) trade-offs • Drive RTL-to ... library standard cells to improve design PPA Minimum Qualifications Minimum BS and 3+ years of ...

Roblox

Senior Software Engineer: Assistant

San Mateo, CA · On-site

$196K - $243K/yr

... digital experiences- all created by our global community of developers and creators. At Roblox, w ... Expertise in component-based libraries and frameworks, with a strong grasp of building performant ...

Apple

CPU Implementation Engineer

Santa Clara, CA · On-site

... assist with design feasibility and power, performance, and area (PPA) trade-offs • Drive RTL-to ... memory macros, library standard cells to improve design PPA Minimum Qualifications Minimum BS ...

Ryzen

Mammography Technologist

Palo Alto, CA

Performs quality assurance on digital equipment as assigned. Performs exams and assists ... Calculate exposure factors, assist physicians. * Prepares and set up medical supplies using aseptic ...

Tailored Brands

Sr Designer - On Call

Dublin, CA · On-site

$50 - $60/hr

Create and evolve brand guidelines, pattern libraries, design templates, etc. * Assist Creative ... Work with digital production artists to assist in high quality execution of projects * Help ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to ... Engage in building tools, libraries, or processes that are used throughout the company or in the ...

NextSense

Senior ML/Research Scientist

Mountain View, CA

$116K - $148K/yr

Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to ... Engage in building tools, libraries, or processes that are used throughout the company or in the ...

Epacenter

Design Studio Internship

East Palo Alto, CA

$25/hr

... schools, libraries, and hospitals, with room to expand into, transit hubs, and corporate ... Assistant classroom arts teachers across a variety of media including digital art, photography ...

New

Epacenter

Design Studio Internship

East Palo Alto, CA · On-site

$25/hr

... schools, libraries, and hospitals, with room to expand into, transit hubs, and corporate ... Assistant classroom arts teachers across a variety of media including digital art, photography ...

New

Osborne Company, Inc

Be Seen First

Order / Data Entry & Logistics Coordinator

Livermore, CA · On-site

$29 - $31.50/hr

... digital filing systems. * Maintain organization of our manufacturer literature ordering, cataloging, and all aspects of our literature library. * Assist with monthly reporting and ensure CRM and ...

Legence

BAS/EMS Controls Engineer

San Jose, CA · On-site

$110K - $130K/yr

... library/coordinate with estimators and management to maintain the standard library's integrity ... Design and Build graphics for HMI, front ends, dashboards and digital signage. * Use Distech GFX to ...

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All JobsLibrary Digitization JobsLibrary Digitization Assistant JobsLibrary Digitization Assistant Jobs in Santa Clara, CA

Library Digitization Assistant information

See Santa Clara, CA salary details

$10

$21

$32

How much do library digitization assistant jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for library digitization assistant in Santa Clara, CA is $21.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $24.86 per hour, depending on experience, location, and employer.

What is a library digitization assistant?

Library Digitization Assistants are staff members who help convert physical library materials, such as books, manuscripts, photographs, and other documents, into digital formats. Their duties often include scanning items, processing digital files, entering metadata, and ensuring quality control of digitized materials. They work closely with librarians and archivists to preserve valuable resources and make them more accessible to users online. This role is essential to modern libraries, as it helps expand access to collections and supports long-term preservation efforts.

What skills and qualifications are needed to be a library digitization assistant?

To thrive as a Library Digitization Assistant, you typically need attention to detail, basic library science knowledge, and experience with handling archival materials, often supported by a relevant degree or coursework. Familiarity with digital imaging equipment, content management systems, and metadata standards like Dublin Core is important, as well as experience using scanners and image editing software. Strong organizational skills, accuracy, and effective communication help you manage projects and collaborate with library staff. These skills and qualities are essential to ensure the preservation, accessibility, and accurate representation of library collections in digital formats.

What challenges do library digitization assistants face when handling fragile or rare materials?

Library Digitization Assistants often work with delicate and rare items, which requires meticulous handling to prevent damage. Common challenges include ensuring the preservation of materials during scanning, managing varying sizes and formats, and adapting to the specific handling protocols for each item. Collaborating closely with archivists and conservators is essential to maintain the integrity of the originals while achieving high-quality digital reproductions. Staying updated on best practices and using specialized equipment helps mitigate risks and ensures successful digitization.

What is the difference between Library Digitization Assistant vs Library Archivist?

AspectLibrary Digitization AssistantLibrary Archivist
CredentialsRelevant library or information science degree, technical skillsMaster's degree in library science or archival studies, specialized certifications
Work EnvironmentLibraries, digitization labs, technical settingsArchives, special collections, museums
Employer & IndustryPublic, academic, or special libraries involved in digitization projectsArchives, historical institutions, museums managing collections
Search & Comparison IntentUnderstanding roles in digitization projects, entry-level tasksManaging archival collections, preservation, and access

The Library Digitization Assistant primarily supports digitization projects by handling scanning, metadata entry, and technical tasks within library settings. In contrast, the Library Archivist manages archival collections, preservation, and access, often requiring advanced degrees and specialized knowledge. Both roles are essential in library and archival environments but differ in scope, responsibilities, and required qualifications.

What are popular job titles related to Library Digitization Assistant jobs in Santa Clara, CA?

For Library Digitization Assistant jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Library Digitization Assistant jobs in Santa Clara, CA look for?

The top searched job categories for Library Digitization Assistant jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Library Digitization Assistant jobs?

Cities near Santa Clara, CA with the most Library Digitization Assistant job openings:

Library Digitization Assistant jobs near you
Infographic showing various Library Digitization Assistant job openings in Santa Clara, CA as of June 2026, with employment types broken down into 5% As Needed, 2% Full Time, 88% Part Time, and 5% Temporary. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $45,637 per year, or $21.9 per hour.

AI & Machine Learning Engineer I

Gen Digital Inc

Mountain View, CA • On-site

$176K - $191K/yr

Full-time

Re-posted 13 days ago

Job description

About Gen:
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.
Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We're always looking for smart, fearless and high-impact talent who see AI as a teammate - leveraging it to move faster and deliver meaningful results.
When you're part of Gen, you'll have the flexibility, tools and support to do your best work and grow your career - from flexible working options and time off to competitive pay, benefits and well-being programs.
At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You'll work with people who back each other, respect each other and understand that our differences are a competitive advantage.
If this sounds like you, we'd love you to be part of Gen.
About the Role:
Our team is a core part of Gen's AI transformation. We build machine learning solutions that improve customer growth, retention, personalization, pricing, recommendations, billing success, and long-term customer value.
We are looking for a hands-on AI / Machine Learning Engineer I to build models, analyze customer and product data, evaluate experiments, and help deploy practical ML solutions. You will own well-scoped projects and collaborate with experienced team members and cross-functional partners.
Experience with recommender systems, uplift modeling, contextual bandits, pricing, or lifecycle personalization is a plus.
Key Responsibilities:
  • Applied ML ownership: Own well-defined machine learning projects from data exploration and model development through validation, deployment, and iteration.
  • Model development: Build and improve predictive, recommendation, ranking, segmentation, uplift, and customer-value models for customer personalization and decisioning.
  • Data and feature development: Prepare datasets, define modeling targets, develop features, and ensure data quality for training and evaluation.
  • Experimentation and measurement: Design and analyze A/B tests, holdouts, and offline evaluations to measure model performance and business impact.
  • Deployment and collaboration: Work with engineering, product, analytics, and business partners to integrate models into production and improve them based on results and feedback.
  • AI-first development: Use AI coding assistants, automation, and reusable tools to improve the speed, quality, and consistency of modeling and analytical workflows.

About You:
  • Degree requirements are flexible. A technical degree in Computer Science, Data Science, Statistics, Mathematics, Operations Research, Economics, Engineering, or a related field is helpful, but equivalent practical experience is equally valued. A Master's or PhD in a quantitative field is a plus, but not required.
  • Applied ML and model development: Two or more years of professional experience in applied machine learning, data science, ML engineering, applied statistics, or a related field, including experience building and evaluating models with real-world data.
  • Data analytics: Experience analyzing behavioral, transactional, product, marketing, or customer data and translating findings into practical insights or recommendations.
  • Experimentation: Experience defining success metrics, analyzing experiments, evaluating model performance, and interpreting business impact.
  • Collaborative delivery: Experience working with engineering, product, analytics, or business partners to deploy or apply data-driven solutions.
  • Relevant specialization: Experience with personalization, recommendation, ranking, uplift modeling, causal inference, contextual bandits, pricing, or lifecycle decisioning is a plus.
  • Machine learning and modeling: Strong Python skills and practical knowledge of supervised learning, model selection, hyperparameter tuning, evaluation, and performance analysis.
  • Data processing and feature engineering: Strong SQL skills and experience using platforms such as BigQuery, Spark, or similar tools for data extraction, cleaning, preprocessing, exploration, and feature development.
  • Analytics and experimentation: Strong analytical and statistical reasoning, including A/B testing, holdout design, statistical significance, incrementally, and business-impact measurement.
  • Technical tools and workflows: Familiarity with common ML libraries, cloud data or ML platforms, version control, and AI-assisted development tools.
  • Ownership mindset: Takes responsibility for assigned work, follows through on commitments, and proactively addresses issues.
  • Business-impact orientation: Connects modeling and analysis to customer experience and measurable outcomes.
  • AI-first builder mindset: Enjoys modeling, analyzing, automating, and shipping while using AI tools to improve productivity and quality.
  • Growth mindset: Learns quickly, seeks feedback, and continuously develops technical and business knowledge.
  • Clear, collaborative communication: Communicates ideas, assumptions, results, and challenges effectively with technical and non-technical partners.

What's Next:
Our hiring process includes four stages:
1. Video Introduction: Submit a brief video introducing yourself, your work, and your most relevant experience.
2. Recruiter Interview: Meet with a Technical Recruiter to discuss your background and walk through the interview process.
3. Technical Interview: Demonstrate your applied machine learning, analytical, and technical capabilities.
4. Hiring Manager Interview: Meet with the hiring manager to discuss your background and fit for the role.
5. Final Interview: Meet with our AI leadership for a final assessment.

Apply