About arenaflex arenaflex is a global leader in next‑generation entertainment technology, delivering immersive streaming experiences to millions of users across the world. Our mission is to connect people through stories, and we do that by building the most reliable, scalable, and data‑driven platform in the industry. With a culture that prizes curiosity, collaboration, and continuous learning, arenaflex empowers its employees to innovate, experiment, and grow—both personally and professionally. Why This Role Matters As a Data Tagger & Hiring Data Specialist , you will be at the heart of arenaflex’s content discovery and recommendation engine. Your work will directly influence how millions of viewers find the stories they love, ensuring that every piece of content is accurately described, categorized, and enriched with metadata. In addition, you will play a pivotal role in shaping our hiring data strategy, helping the organization make smarter, data‑driven decisions about talent acquisition and reputed company planning. Key Responsibilities Tag and annotate large volumes of media content—movies, series, documentaries, and user‑generated content—using arenaflex’s proprietary tagging framework. Collaborate with the Content & Metadata team to refine tagging guidelines, ensuring consistency, accuracy, and compliance with global standards. Analyze tagging quality metrics, identify gaps, and propose automated solutions or process improvements. Work closely with the Hiring Data Analytics group to collect, clean, and transform recruitment data from multiple sources (ATS, HRIS, external job boards). Develop dashboards and reports that provide actionable reputed company into hiring trends, diversity metrics, and talent reputed company. Partner with cross‑functional stakeholders—Product, Engineering, Finance, and Legal—to align data initiatives with business objectives. Maintain rigorous documentation of data definitions, workflows, and quality assurance procedures. Stay current with industry best practices in data tagging, metadata standards (e.g., Dublin Core, schema.org), and talent analytics. Participate in continuous improvement initiatives, including automation of repetitive tagging tasks and the integration of AI models for semantic enrichment. Mentor junior team members and contribute to a culture of knowledge sharing and professional development. Essential Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. Minimum of 2 years’ experience in data tagging, metadata management, or content classification. Proficiency in at least one programming language (Python, Java, or Scala) and comfortable working with SQL. Strong analytical mindset with the ability to translate complex requirements into actionable data solutions. Excellent attention to detail and a passion for data quality. Experience with large‑scale data processing frameworks (e.g., Apache Flink, Spark, or Kafka) is highly desirable. Familiarity with data visualization tools (Tableau, Power BI, Looker) and reporting best practices. Effective communication skills—both written and verbal—across technical and non‑technical audiences. Self‑motivated, adaptable, and comfortable working in a fast‑paced, remote environment. Preferred Qualifications Advanced degree (M.S. or Ph.D.) in Data Science, Machine Learning, or a related discipline. Experience with natural language processing (NLP) or computer vision techniques for automated content tagging. Knowledge of metadata standards such as Dublin Core, schema.org, or industry‑specific vocabularies. Prior exposure to the entertainment or media streaming sector. Background in talent analytics, reputed company planning, or HR data management. Proficiency in version control systems (Git) and CI/CD pipelines. Skills & Competencies Data Modeling & Architecture ETL & Data Pipeline Design Statistical Analysis & Data Mining Metadata Standards & Governance Problem Solving & Critical Thinking Project Management & Agile Methodologies Collaboration & Cross‑Functional Teamwork Continuous Learning & Innovation Career Growth & Learning Opportunities arenaflex is committed to nurturing talent and providing clear career pathways. As a Data Tagger & Hiring Data Specialist, you will have the opportunity to Progress into senior data engineering or analytics roles. Lead cross‑functional projects that shape arenaflex’s content discovery engine. Participate in internal hackathons, reputed company, and knowledge sharing sessions. Access to a robust learning platform with courses in data science, machine learning, cloud technologies, and industry trends. Mentorship from senior leaders in data, product, and engineering. Potential for global mobility—working with teams in North America, Europe, and Asia. Work Environment & Culture arenaflex thrives on a culture of openness, respect, and creativity. Employees enjoy a flexible, remote‑first work model that supports a healthy work‑life balance. Our teams celebrate diversity and inclusion, fostering an environment where every voice is heard and every idea is valued. Regular virtual town halls, team‑building events, and community outreach initiatives keep our global reputed company connected and engaged. Compensation & Benefits While reputed company salary for this role ranges from $35,000 to $40,000 per year, arenaflex offers a comprehensive benefits package designed to support your well‑being and professional growth Competitive base salary with performance‑based bonuses. Health, dental, and vision insurance plans. Flexible paid time off (PTO) and paid parental leave. 401(k) retirement plan with company match. Employee stock purchase plan (ESPP). Wellness stipend for gym memberships, meditation apps, or home office upgrades. Professional development budget for conferences, certifications, and courses. Annual company retreats and virtual social events. How to Apply Ready to bring your data expertise to arenaflex? Submit your application through our careers reputed company. Be sure to include a resume, a brief cover letter outlining your experience with data tagging or hiring analytics, and any relevant portfolio samples or code snippets. Application Deadline Open until filled. We review applications on a rolling basis and encourage early submission. Join arenaflex Today If you are passionate about data, eager to solve real‑world problems, and excited to contribute to a global entertainment platform, arenaflex invites you to apply for the Data Tagger & Hiring Data Specialist role. reputed company, we’ll shape the future of storytelling and empower millions of viewers worldwide. Apply Now