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Library Digitization Assistant Jobs in New Lenox, IL

NuMark Credit Union

Social Media Intern

Warrenville, IL

$15.50 - $20/hr

Contribute to developing strategies that grow audience engagement * Assist in coordinating social ... Maintain content calendars and help organize digital asset libraries * Stay current on social media ...

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Angular Developer

Chicago, IL · On-site

$56.50 - $69/hr

Experience with data visualization libraries (e.g., D3.js, Chart.js, Highcharts, ECharts ... Reply services include Consulting, System Integration and Digital Services. The base compensation ...

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Angular Developer

Chicago, IL

$56.50 - $69/hr

Experience with data visualization libraries (e.g., D3.js, Chart.js, Highcharts, ECharts ... Reply services include Consulting, System Integration and Digital Services. The base compensation ...

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Angular Developer

Chicago, IL · On-site

$56.50 - $69/hr

Experience with data visualization libraries (e.g., D3.js, Chart.js, Highcharts, ECharts ... Reply services include Consulting, System Integration and Digital Services. The base compensation ...

Echo Global Logistics

RPA Developer

Chicago, IL · On-site +1

$73K - $107K/yr

... digital workforce using a Robotic Process Automation tool ... In this role, you will build and maintain software robots that will assist in the automation of key ...

United Airlines, Inc.

Sr Conversation Designer

Chicago, IL · On-site

$105K - $112K/yr

... arcorss voice, digital chat, and messaging. They will design intuitive, empathic, and highly ... pattern libraries * Stay ahead of emerging design trends (such as generative AI prompting vs ...

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All JobsLibrary Digitization JobsLibrary Digitization Assistant JobsLibrary Digitization Assistant Jobs in New Lenox, IL

Library Digitization Assistant information

See New Lenox, IL salary details

$9

$19

$27

How much do library digitization assistant jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for library digitization assistant in New Lenox, IL is $19.01, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.54 per hour, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Library Digitization Assistant jobs in New Lenox, IL? For Library Digitization Assistant jobs in New Lenox, IL, the most frequently searched job titles are:
What job categories do people searching Library Digitization Assistant jobs in New Lenox, IL look for? The top searched job categories for Library Digitization Assistant jobs in New Lenox, IL are:
What cities near New Lenox, IL are hiring for Library Digitization Assistant jobs? Cities near New Lenox, IL with the most Library Digitization Assistant job openings:
Library Digitization Assistant jobs near you
Infographic showing various Library Digitization Assistant job openings in New Lenox, IL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $39,533 per year, or $19 per hour.

Assistant Scientist - AI for Autonomous Synthesis and Multimodal Characterization

Argonne National Laboratory

Lemont, IL • On-site

Full-time

Re-posted 3 days ago

Job description

The Center for Nanoscale Materials (CNM) and the Advanced Photon Source (APS) at Argonne National Laboratory invite applications for a joint Assistant Scientist position focused on developing and applying artificial intelligence (AI) and machine learning (ML) methods for the autonomous, self-driving synthesis of nanoscale and quantum materials.
This is an exciting opportunity to help shape a new generation of closed-loop, AI-enabled experimental workflows that tightly integrate synthesis within situ and operando x-ray, electron, and optical characterization. The successful candidate will help bridge CNM's world-class capabilities in nanofabrication and chemical synthesis with APS's leading synchrotron measurement tools, enabling adaptive and autonomous exploration of complex materials design spaces.
In this role, you will lead a research program centered on AI-driven autonomous synthesis, including:
  • Active learning and Bayesian optimization over synthesis parameters such as precursors, temperature, sequences, and pressure
  • Generative and inverse-design models for materials discovery
  • Closed-loop feedback frameworks that use in situ/operando scattering, spectroscopy, and imaging to guide synthesis in real time
  • AI-enabled analysis of high-throughput, multimodal experimental data with uncertainty quantification
  • Integration of edge computing, high-performance computing (HPC), and scientific data infrastructure to support scalable, user-facing autonomous workflows across CNM synthesis platforms and APS beamlines

This position is a joint appointment between the Theory and Modeling Group at CNM and the Computational Science and AI Group (CAI) at APS. The successful candidate will have access to Argonne's exceptional ecosystem of facilities and expertise, including the upgraded APS, CNM's advanced synthesis and characterization capabilities, and leadership-class computing resources at the Argonne Leadership Computing Facility.
Key Responsibilities
  • Lead and develop a research program in AI-enabled autonomous materials synthesis
  • Design and implement closed-loop experimental workflows that integrate synthesis, characterization, and decision-making
  • Develop and apply AI/ML methods for active learning, optimization, inverse design, and experiment planning
  • Build analysis tools for multimodal, high-throughput experimental data, including real-time or near-real-time processing
  • Collaborate closely with scientists across materials synthesis, characterization, beamline science, theory, and computing
  • Contribute to the development of scalable computational and data workflows spanning edge, beamline, and HPC environments
  • Publish in peer-reviewed journals, present at scientific meetings, and help shape future directions in autonomous materials research

Position Requirements
  • Ph.D. in physical chemistry, inorganic chemistry, computational materials science, chemical engineering, or a related field, along with 3-6 years of postdoctoral research experience
  • A strong understanding of nanomaterials synthesis and/or in situ/operando x-ray characterization (including scattering, spectroscopy, or imaging), with demonstrated experience connecting the two
  • Proven experience developing and applying AI/ML methods to autonomous experimentation, closed-loop optimization, active learning, or inverse design
  • A strong publication record demonstrating innovation in AI/ML for materials synthesis, synchrotron experiments, or a closely related area
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • Experience with optimization and active-learning libraries such as BoTorch, GPyTorch, or scikit-learn
  • Strong programming skills, especially in Python, including integration with experimental control systems or lab-automation frameworks
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred Qualifications
  • Experimental control and orchestration frameworks such as ROS, Bluesky, or EPICS
  • Laboratory automation and robotic synthesis platforms
  • Generative models, reinforcement learning, or agentic AI approaches for materials discovery and experiment planning
  • Multimodal data fusion and real-time data reduction for synchrotron or nanoscale experiments
  • High-performance computing (HPC), edge-to-HPC workflows, and scientific data infrastructure
  • Digital twins, physics-informed machine learning, or simulation-augmented experiment design
  • Excellent written and verbal communication skills, with the ability to work effectively in a highly collaborative, multidisciplinary environment

Application Materials
Please upload the following as part of your application:
  • Curriculum Vitae (CV)
  • Cover Letter

RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent
Job Family
Research Development (RD)
Job Profile
Materials/Ceramics/Metallurgical 2
Worker Type
Regular
Time Type
Full time
The expected hiring range for this position is $94,486.00 - $147,398.94.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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