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Library Associate Jobs in Hartford, WI (NOW HIRING)

Pwc

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

As an Associate, you will focus on learning and contributing to projects while developing your ... libraries like Scikit-Learn for data analysis - Engaging in complex data analysis and pattern ...

Pwc

AI Engineer

Milwaukee, WI · On-site

$55K - $187K/yr

As a Senior Associate, you will leverage your skills to analyze complex problems, mentor others ... and machine learning libraries - Excelling in complex data analysis and data modeling ...

BluePearl

Urgent Care Veterinarian

Port Washington, WI · On-site

Our full-time associates are provided: * 401(k) with employer match, Parental Leave and Fertility ... BluePearl Library - FREE access to 2,000+ veterinary and health science journals. * * BluePearl ...

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All JobsLibrary Associate JobsLibrary Associate Jobs in Hartford, WI

Library Associate information

See Hartford, WI salary details

$10

$22

$36

How much do library associate jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for library associate in Hartford, WI is $22.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $26.25 per hour, depending on experience, location, and employer.

What is a library associate?

Library Associates are staff members who assist with the daily operations of a library. They help patrons locate materials, check out and return books, organize resources, and may assist with library programs or events. Library Associates often provide customer service, answer basic reference questions, and support librarians in maintaining an organized and welcoming environment. Their responsibilities can vary depending on the size and type of library, but they play a vital role in ensuring smooth library operations.

What are the key skills and qualifications needed to thrive as a library associate, and why are they important?

To thrive as a Library Associate, you need strong organizational skills, attention to detail, and typically a high school diploma or equivalent, with some positions preferring library science coursework. Familiarity with library management systems, cataloging software, and basic computer applications is usually required. Excellent customer service, communication, and problem-solving skills help you effectively assist patrons and support library operations. These abilities are vital for maintaining an organized, accessible library environment and ensuring a positive user experience.

What are some common challenges library associates face when assisting patrons, and how can they effectively address them?

Library Associates frequently encounter challenges such as helping patrons locate specific materials, assisting with technology (like printers or public computers), and managing multiple requests during busy periods. To address these challenges effectively, it's important to develop strong communication and problem-solving skills, stay up-to-date with library catalog systems, and remain patient and resourceful when guiding patrons. Collaborating closely with librarians and other staff members also ensures that patrons receive comprehensive support and that workloads are balanced during peak times.

What is the difference between Library Associate vs Library Technician?

AspectLibrary AssociateLibrary Technician
Required CredentialsHigh school diploma or equivalent; some roles may prefer post-secondary educationAssociate degree in library technology or related field
Work EnvironmentPublic, academic, or special libraries; customer service focusSimilar environments with more technical and cataloging responsibilities
Employer UsageCommonly employed in public and academic libraries for assisting patronsOften involved in cataloging, shelving, and technical support tasks
Search & Comparison IntentYesYes

The main difference between a Library Associate and a Library Technician lies in their educational requirements and technical responsibilities. Library Associates typically have a high school diploma and focus on customer service and daily library operations. In contrast, Library Technicians usually hold an associate degree and handle more technical tasks like cataloging and collection management. Both roles are vital in library settings, but Library Technicians often require more specialized training and perform more technical duties.

Can you get a job at a library with no experience?

Library associate positions often do not require prior experience, as on-the-job training is typically provided. Employers may look for strong customer service skills, organizational abilities, and a willingness to learn, making it possible for entry-level candidates to qualify. Some libraries may prefer or require a high school diploma or equivalent, but specific experience is usually not mandatory for starting roles.

What job categories do people searching Library Associate jobs in Hartford, WI look for?

The top searched job categories for Library Associate jobs in Hartford, WI are:

What cities near Hartford, WI are hiring for Library Associate jobs?

Cities near Hartford, WI with the most Library Associate job openings:

Library Associate jobs near you
Infographic showing various Library Associate job openings in Hartford, WI as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $46,557 per year, or $22.4 per hour.

Forward Deployed Engineer- AWS

Milwaukee, WI • On-site

Deloitte
Finance and Insurance • 10K+ employees
Learn more about Deloitteexternal

Full-time

Re-posted 26 days ago

Key responsibilities

  • Work side by side with senior client team members to prototype and deliver high-impact GenAI-enabled solutions.

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.

  • Engage with clients to identify business needs, translate high-value GenAI use cases into solutions, and lead working sessions to shape solutions.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.


Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:


Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.


Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.


Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations


The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.


You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.


Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:


Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.


Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.


Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations


The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.


You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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