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Virtual Reference Library Jobs in Forsyth County, GA

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Virtual Reference Library information

See Forsyth County, GA salary details

$60.4K

$63.1K

$65.4K

How much do virtual reference library jobs pay per year?

As of Sep 14, 2026, the average yearly pay for virtual reference library in Forsyth County, GA is $63,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $63,100.00 per year, depending on experience, location, and employer.

What is a virtual reference library?

A Virtual Reference Library is an online collection of reference materials such as encyclopedias, dictionaries, guides, and databases that can be accessed remotely via the internet. It is designed to help users find reliable information quickly without needing to visit a physical library. Virtual Reference Libraries are commonly used by students, researchers, and the general public for research, homework, and general knowledge inquiries. Many libraries and educational institutions subscribe to these services to provide convenient, 24/7 access to authoritative resources.

What are the key skills and qualifications needed to thrive as a virtual reference librarian?

To thrive as a Virtual Reference Librarian, you need a strong background in information science, research skills, and a library science degree or equivalent experience. Familiarity with online databases, digital catalog systems, and virtual communication platforms is essential for providing remote assistance. Excellent interpersonal communication, problem-solving abilities, and adaptability are key soft skills that enhance user engagement and support. These competencies ensure accurate information delivery and effective user support in a digital environment.

How does a virtual reference librarian typically collaborate with other library staff and departments while working remotely?

As a Virtual Reference Librarian, collaboration with colleagues is essential and primarily takes place through digital platforms such as email, chat, and video conferencing tools. You may regularly coordinate with subject specialists, technical services, and IT staff to resolve patron inquiries, develop instructional materials, or update digital resources. Effective communication and timely information sharing are key to ensuring consistent and high-quality service to patrons. Virtual team meetings and shared project management tools help maintain alignment and foster a supportive remote work environment.

What is the difference between Virtual Reference Library vs Library Technician?

AspectVirtual Reference LibraryLibrary Technician
Required CredentialsMLS or MLIS degree often preferredAssociate's degree in library technology or related field
Work EnvironmentOnline platforms, remote workPhysical library settings, on-site
Employer & Industry UsageLibraries, educational institutions, online info servicesPublic, academic, or special libraries
Common Search & Comparison IntentUnderstanding roles in digital info servicesJob responsibilities and qualifications

Virtual Reference Library professionals primarily provide online information assistance, often working remotely, while Library Technicians work in physical library environments assisting with daily operations. Both roles support library services but differ in work setting and required credentials.

What are popular job titles related to Virtual Reference Library jobs in Forsyth County, GA?

For Virtual Reference Library jobs in Forsyth County, GA, the most frequently searched job titles are:

What job categories do people searching Virtual Reference Library jobs in Forsyth County, GA look for?

The top searched job categories for Virtual Reference Library jobs in Forsyth County, GA are:

What cities near Forsyth County, GA are hiring for Virtual Reference Library jobs?

Cities near Forsyth County, GA with the most Virtual Reference Library job openings:

Infographic showing various Virtual Reference Library job openings in Forsyth County, GA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 55% Physical, 2% Hybrid, and 43% Remote job distribution, with an average salary of $63,115 per year, or $30.3 per hour.

Machine Learning Engineer II, GenAI Evaluation Framework

Sandy Springs, GA • On-site

Cox Automotive
Automobile Dealers • 5 - 10K employees

$92K - $153K/yr

Full-time

PTO

Posted 4 days ago


Cox Automotive rating

7.7

Company rating: 7.7 out of 10

Based on 145 frontline employees who took The Breakroom Quiz


Job description

About the AI Accelerator
The AI Accelerator drives AI innovation across Cox Automotive. The team builds proof-of-concept agents, ships reusable AI components, sets evaluation and governance standards, and partners with product teams to bring AI into production.
About the Role
Cox Automotive is hiring a Machine Learning Engineer II to own and build the GenAI Evaluation Framework (GEF), the shared capability that measures whether AI agents running in production meet quality standards. This is a builder-owner role. You own GEF as an internal product, which means you set the roadmap, decide what ships and what gets retired, and sequence which teams onboard. You also write the evaluators, pipelines, and reference implementations yourself.
The framework already exists and has been proved in one production implementation with the Virtual Contact Assistant. The current work is turning that implementation into a product other teams adopt on its merits, since adoption across business units is voluntary. You will have the direct support of the Director of Machine Learning and AI on prioritization and executive alignment, and full latitude on the technical and product decisions inside GEF.
What You Will Own
  • GEF product roadmap. Shared accountability with AI leaders of what ships next, what to generalize from the first production implementation, and what to deprecate. You help to maintain the roadmap and the reasoning behind it.
  • Enablement queue. You sequence which product teams onboard, when, and against what success criteria, and you negotiate that sequence with the teams involved.
  • Framework build. You implement and maintain LLM-as-judge, rule-based, and statistical evaluators, and calibrate them against human-labeled baselines.
  • Evaluation pipelines. You build and operate the pipelines that score agent traffic on a schedule and publish results to dashboards and the Cox Agent Registry.
  • Golden datasets. You work with product teams and subject matter experts to assemble, version, and maintain the datasets evaluation depends on.
  • Onboarding and adoption. You integrate GEF into adopting teams' agents, debug failures, and write the documentation and reference implementations that let the next team self-serve.
  • Quality reporting. You publish framework adoption, agent quality health, and cost-per-quality metrics each month, and supply the audit trails and evaluation evidence governance reviews require.
  • Agent instrumentation. You help add tracing and logging to agent workflows and integrate evaluation checks into CI and deployment pipelines.

What Success Looks Like in Year One
  • Three to four product teams onboarded to GEF, with golden datasets curated and evaluators calibrated against human baselines.
  • A published GEF roadmap that adopting teams and leadership both plan against.
  • Framework capability a new team can adopt from documentation and reference implementations without direct support.
  • Quality health published per registered agent in the Cox Agent Registry, on a monthly cadence, without manual assembly.
  • Pipelines that run reliably, with monitoring and runbooks that let someone else operate them.

Who You Will Work With
Inside the AI Accelerator: the engineers building GEF, the team embedded with the Virtual Contact Assistant pilot, and the broader CADS data science group.
Across Cox Automotive: engineering and product teams at VinSolutions, Autotrader, Manheim, Dealertrack, and other business units as they onboard, plus Platform Engineering, Architecture, Enterprise AI, Security, and FinOps.
Required Qualifications
  • Two or more years of professional machine learning engineering experience with a Bachelor's Degree, OR up to two years combined with a Master's Degree in a quantitative field.
  • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
  • Must currently live within a commutable distance to Atlanta to be considered.
  • Experience owning the direction of a technical product, internal tool, library, or platform used by other teams. Formal product ownership is welcome, and so is having been the de facto owner of something other engineers depended on.
  • Ability to maintain a roadmap, set priorities among competing requests, and explain the tradeoffs to both engineers and product stakeholders.
  • Strong Python, with working habits around testing, version control, code review, and continuous integration.
  • Hands-on experience building with large language models, including prompting, API integration, retrieval, or agent frameworks.
  • Working knowledge of measurement concepts such as sampling, inter-rater agreement, precision and recall, or comparative testing.
  • Experience with cloud services, ideally AWS, and with building data pipelines.
  • Strong written communication, including documentation, roadmap updates, and reporting to senior stakeholders.

Preferred Qualifications
  • Formal product ownership or technical product management experience for developer tools, infrastructure, or ML platforms.
  • Experience with evaluation tooling such as DeepEval, AWS Bedrock AgentCore Evaluations, Langfuse, or RAGAS.
  • Experience in a federated organization where adoption is voluntary and the product must win on merit.
  • Experience with observability and tracing tools such as OpenTelemetry or Datadog.
  • Exposure to model risk, AI governance, or work in a regulated environment.
  • Prior work at the intersection of data science teams and product or platform engineering.

USD 92,300.00 - 153,900.00 per year
Compensation:
Compensation includes a base salary in the range of $92,300.00 - $153,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US