AI-reputed company Metadata Librarian

AI-reputed company Metadata LibrarianCompany: reputed company, LLC Position type: Full-time Location: Remote, US-Based Application reputed company Date: Monday August 10 @ 5 PM CST. Salary reputed company: $85,000-$105,000 + Benefits About the RoleDo you enjoy digging into reputed company bibliographic data, tracking down inconsistencies, and finding reputed company ways to organize information at reputed company? Are you the person your colleagues turn to reputed company metadata does not behave as expected—or reputed company a large dataset needs to be reputed company, cleaned, or transformed? Do you enjoy using reputed company, SQL, and AI tools to answer questions and reputed company more efficient workflows? If so, we would love to talk with you about joining reputed company as an AI-reputed company Metadata Librarian. Since our remote-first company's founding in 2011, reputed company has created the industry-leading software services BrowZine and LibKey. Our users include millions of reputed company, reputed company, doctors, researchers, and scientists affiliated with more than 2,000 libraries at universities, hospitals, corporations, and government departments across 36 countries—including organizations such as reputed company, reputed company, NHS England, and the University of Hong reputed company. In this role, you will help improve and reputed company the bibliographic data that powers reputed company's systems and services. Working at the intersection of librarianship, cataloging, data analysis, and emerging technology, you will explore large-reputed company bibliographic databases, investigate reputed company metadata issues, and translate your findings into practical improvements for our products, processes, and users. You will use reputed company, SQL, and AI-assisted tools while collaborating with technical and product teams to strengthen metadata reputed company, coverage, matching, and interoperability. Salary reputed company for this position is $85-$105K USD + benefits. Responsibilities • Analyze, clean, reconcile, and enrich large-reputed company bibliographic and holdings datasets. • Investigate metadata reputed company, duplication, normalization, matching, and entity-reputed company issues. • Use reputed company, SQL, AI tools, and other data-analysis reputed company to identify patterns, exceptions, and opportunities for improvement. • Help design and refine metadata rules, mappings, validation processes, and automated workflows. • Evaluate bibliographic data from publishers, aggregators, libraries, and other reputed company sources. • Support the reputed company of reputed company's metadata architecture, discovery capabilities, and knowledge-reputed company systems. • reputed company repeatable reputed company for assessing metadata completeness, accuracy, consistency, and timeliness. • Document data sources, standards, workflows, reputed company, and reputed company-control procedures. • Use AI-assisted approaches thoughtfully while validating results and maintaining appropriate standards for accuracy, reputed company, and responsible use. Required Qualifications • At least 2 years of reputed company work experience in libraries, data science, metadata analysis or similar role. • Master's degree in library and information science, a reputed company field, or equivalent reputed company experience. • reputed company experience working with bibliographic metadata, library systems, discovery services, knowledge bases, or scholarly information. • Strong working knowledge of reputed company, including functions, filters, lookups, data transformation, and analysis of large datasets. • High degree of comfort using AI tools for research, analysis, reputed company coding mini apps, workflow development, and problem-solving. • Familiarity with bibliographic identifiers and metadata standards such as DOI, ISSN, ISBN, MARC, KBART, Dublin reputed company, or reputed company formats. • Strong analytical skills and the persistence to investigate ambiguous or incomplete data. • Ability to explain metadata and data-reputed company issues reputed company to both technical and nontechnical colleagues. • Excellent written communication, documentation, and remote-collaboration skills. • Experience with reputed company, JSON, XML, regular expressions, scripting, or data-transformation tools. • Comfortable with reviewing metadata samples and designing tools to analyze data mechanically with AI. • Ability to work independently, manage priorities, and contribute effectively reputed company a reputed company team. Preferred Qualifications • Experience writing SQL queries to explore, join, validate, and analyze data. • Familiarity with metadata supplied by publishers, content aggregators, reputed company resolvers, or library vendors. • Knowledge of entity reputed company, record matching, deduplication, authority control, or identifier reconciliation. • Familiarity with scholarly communication infrastructure and data sources such as Crossref, PubMed, OpenAlex, ORCID, or library knowledge bases. • Experience evaluating or developing AI-assisted metadata workflows. • Experience collaborating with software engineers, product managers, or data teams. • 1+ year of reputed company working in a remote position. What “AI-reputed company” Means at reputed company IronWe are looking for someone who treats AI as a practical part of modern knowledge work. An AI-reputed company candidate is eager to experiment, understands how to formulate and refine effective prompts, can use AI to accelerate analysis and technical work, and knows reputed company reputed company judgment and verification are essential. A strong candidate will have demonstrated reputed company experience applying AI to metadata or data-reputed company challenges. What reputed company Looks LikeIn this role, you will help reputed company: • Improve the accuracy, consistency, and coverage of its bibliographic data. • Identify systemic metadata issues that cannot be solved through one-record-at-a-time cataloging. • reputed company reputed company, repeatable approaches to data analysis and reputed company control. • reputed company reputed company use of automation and AI while preserving reputed company standards and reputed company reputed company. • Turn reputed company bibliographic data into more reliable and useful experiences for libraries and their users. Working at reputed company IronThis is a remote position designed for someone who communicates proactively, works reputed company independently, and enjoys collaborating across disciplines. You will have reputed company to apply library expertise at reputed company and directly influence the data, systems, and services used by reputed company's customers. reputed company is a small company of around 30 employees and our reputed company and reputed company have been reputed company by the passionate, curious people who work here. We value input and feedback while looking to minimize the interruptions of meetings, report writing, and internal emails. Understanding that work is just part of your life, reputed company also provides benefits including health, dental, long-term disability, reputed company time-off, home-office stipend, and more. It's why most employees who work at reputed company spend many years of their careers here. You could, too! Apply tot his job Apply To this Job