Job Details Available rate: $75/hr on W2 (without benefits) About R Systems R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet. Company Link Key Responsibilities: • Design and maintaintaxonomies, ontologies, and metadata schemasthat organize structured and unstructured data across domains. • Collaborate with data scientists, ML engineers, and domain experts to buildlabeling systemsthat enhance AI/ML model training, especially in supervised and semi-supervised learning workflows. • Curate and normalize datasets using consistent classification logic to improvedata quality, interpretability, and retrieval. • Lead efforts to align taxonomy strategies withbusiness and product goals, including search optimization, knowledge graphs, and recommender systems. • Applynatural language processing (NLP)andsemantic analysistechniques to categorize content and refine metadata models • Evaluate and integrate 3rd-party ontologies and taxonomies where appropriate • Supporthuman-in-the-loop labeling workflows, guidelines, and quality control processes. Required Qualifications • Bachelor's or Master s degree inLibrary Science, Information Architecture, Linguistics, Data Science, or a related field. • 3+ years of experience intaxonomy/ontology development, data classification, or metadata design. • Working knowledge ofPython,SQL, and data tools (e.g., Pandas, Jupyter, NLP libraries). • Familiarity withtaxonomy management tools(e.g., PoolParty, TopBraid, Synaptica) and version control systems (Git) • Experience working withmachine learning datasets, tagging schemes, or annotation workflows. • Strong attention to detail and logical consistency. • Excellent communication skills to collaborate with both technical and non-technical teams. Preferred Qualifications • Experience withknowledge graphs,embedding models, orsemantic search. • Background intaxonomy for e-commerce, finance, healthcare, or media. • Familiarity withlabeling toolslike Label Studio, Prodigy, or Snorkel. Why Join R Systems? • Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp. • Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community. • Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands. • Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path. • E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills. • Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment. If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you! R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits. Employers have access to artificial intelligence language tools ( AI ) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity. Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity. • Dice Id: rsystems • Position Id: Taxonomy