Position: Senior Taxonomy Analyst (English & Spanish Roles Available)
Location: Remote from LATAM
Contract Type: Full-time (Vendor)
Time Zone Alignment: CT
About In All MediaWe are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. From design to deployment, we deliver customized solutions by connecting global talent with innovative client projects. Our model allows you to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.
Project OverviewThe project focuses on scaling and refining data taxonomy operations for international employment data. The main objective is to optimize data classification models to ensure job listings and resumes are accurately cataloged, cleaned, and localized. We are currently hiring for two separate tracks for this project: one dedicated to English language operations and another dedicated to Spanish language operations. As a Senior Taxonomy Analyst, you will bridge the gap between raw, unstructured career data and highly optimized, localized market assets to drive global data accuracy.
Key Responsibilities- Taxonomy Operations: Support daily taxonomy operations by labeling, annotating, and classifying complex job and resume data.
- Data Standardization: Standardize job titles and accurately map occupations across core global datasets.
- Quality Assurance: Review and validate metadata to optimize overall taxonomy quality, ensuring all outputs remain accurate and highly consistent.
- Cleanup & Localization: Perform data cleanup and localization workflows specifically tailored for global markets while strictly adhering to data labeling guidelines.
- Data Evaluation: Process and evaluate high-volume datasets using strong pattern recognition skills and sharp attention to detail.
- Language Fluency: Native-level fluency in English (for the English-operating role) OR native-level fluency in Spanish (for the Spanish-operating role).
- Taxonomy Experience: Prior proven experience in data taxonomy, metadata management, or content classification.
- Data Labeling & Validation: Strong hands-on experience in data labeling/annotation, data validation, and reviewing high-volume datasets.
- Analytical Rigor: Exceptional analytical skills, sharp attention to detail, strong pattern recognition, and the ability to exercise sound judgment under specific framework guidelines.
- Localization Expertise: Direct experience working with localization workflows or multilingual content systems.
- Domain Expertise: Direct knowledge of HR (Human Resources) systems, talent acquisition, or job taxonomy structures.
- Data Tools: Basic familiarity with SQL (Structured Query Language), advanced Excel, or Google Sheets for data manipulation.
- AI & LLM Tools: Hands-on exposure to Large Language Models (LLMs) and generative AI tools such as ChatGPT, Gemini, or Claude for data augmentation or classification.
- Geographic Market Knowledge: Specific market knowledge of global English regions such as Ireland, India, the United Arab Emirates (UAE), Australia, or Singapore is highly preferred.
This role is 100% remote from LATAM and requires consistent alignment and overlap with teams operating within the Central Time (CT) zone. Flexibility is expected to accommodate key ceremonies, stand-ups, and collaborative sessions within standard Austin business hours.
LanguageAll internal workflows, documentation, and specific operational deliverables will be conducted primarily in the language of the chosen track (English or Spanish).
Skills Required
- Native-level fluency in English OR native-level fluency in Spanish
- Prior proven experience in data taxonomy, metadata management, or content classification
- Hands-on experience in data labeling/annotation, data validation, and reviewing high-volume datasets
- Exceptional analytical skills, attention to detail, and strong pattern recognition
- Experience working with localization workflows or multilingual content systems
- Ability to work remotely from LATAM with consistent overlap to Central Time (CT)
- Direct knowledge of HR systems, talent acquisition, or job taxonomy structures
- Familiarity with SQL
- Advanced Excel or Google Sheets for data manipulation
- Hands-on exposure to LLMs and generative AI tools (ChatGPT, Gemini, Claude)
- Specific market knowledge of regions such as Ireland, India, UAE, Australia, or Singapore
What We Do
In All Media is a cutting-edge technology and innovation consulting organization, facilitating digital transformation in multiple industries. We have partnered with top-tier organizations such as NBCUniversal, Sony DADC, Aclara Technologies, and Dun & Bradstreet, among other leading companies worldwide. In All Media harnesses the collaborative synergy of all our international talent pool using Agile methodologies, to deliver excellence efficiently and with the utmost quality. At In All Media, we believe in diversity and autonomy. Our new model brings together a global managed community, with experts guiding and managing talented engineers; working to bring together the best talent in the world, regardless of where they are. We are not only evolving in terms of technology, but also in terms of In All Media as a re-imagined technology consultancy in step with the Fourth Industrial Revolution. Our community of 200+ experts and engineers are very motivated by different challenges in their field, and apply continuous learning to stay ahead of the curve in their expertise on new developments and innovative technologies. Our delivery model is based on Agile, On-site, and Near Shore capabilities to maximize team integration and provide the best value to our clients. We partner holistically with our clients in the co-creation of services and products, and follow streamlined Agile processes throughout. This makes In All Media a truly global company driven by a community of dedicated, talented individuals self-organizing into multi-disciplinary teams, producing the best possible output for our world-class clients. We're hiring! Email us your CV: [email protected] Contact Us: [email protected]









