About Worksphere
At worksphere, we are redefining how people discover, create, and enjoy content in a world that never stops moving. With a global community of millions of users across more than 190 countries, we deliver personalized entertainment experiences on a wide array of devices. Our mission is simple: connect people to the stories that matter most to them. To achieve this, we invest heavily in data science, machine learning, and cutting‑edge technology, building a platform that scales to billions of interactions every day.
We are a culture of curiosity, collaboration, and continuous learning. Whether you’re a seasoned engineer, a creative storyteller, or a data enthusiast, you’ll find a place at worksphere where your ideas can shape the future of entertainment.
Why Join Worksphere?
- Work remotely from anywhere in the United States (or globally, with occasional on‑site visits).
- Competitive salary range of $35,000–$40,000 per year, with performance‑based adjustments.
- Comprehensive benefits package: health, dental, vision, mental‑health support, 401(k) with company match, equity program, paid time off, and flexible work arrangements.
- Access to continuous learning resources, mentorship programs, and internal tech talks.
- Inclusive, diverse, and supportive work environment that celebrates individuality and teamwork.
Position Overview
We are seeking a highly motivated Data Tagger & Hiring Data Entry Specialist to join our dynamic remote team. In this role, you will be responsible for accurately tagging and categorizing large volumes of content, ensuring that our recommendation algorithms have the clean, high‑quality data they need to deliver personalized experiences to millions of users worldwide.
You will collaborate closely with data engineers, product managers, and machine‑learning scientists to refine data pipelines, troubleshoot data quality issues, and contribute to the continuous improvement of our content catalog.
Key Responsibilities
- Perform meticulous data tagging and metadata entry for new and existing content, ensuring consistency and adherence to internal standards.
- Validate and audit data quality, identifying anomalies and working with cross‑functional teams to resolve discrepancies.
- Maintain and update tagging guidelines, documentation, and best‑practice playbooks.
- Assist in the development and optimization of automated data pipelines that ingest, transform, and store content metadata.
- Collaborate with data scientists to provide clean, well‑structured data for training recommendation models.
- Participate in regular cross‑team meetings, providing insights and feedback on data quality and tagging processes.
- Stay current with industry trends in data management, metadata standards, and content classification.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
- Minimum of 2 years of experience in data entry, data tagging, or a similar role within a tech or media environment.
- Strong command of at least one programming language (Python, Java, or Scala) and proficiency in SQL.
- Experience working with large, distributed data systems (e.g., Hadoop, Spark, Flink).
- Excellent attention to detail, with a proven track record of delivering high‑quality work under tight deadlines.
- Strong analytical and problem‑solving skills, with the ability to translate complex requirements into actionable tasks.
- Effective communication skills, both written and verbal, and a collaborative mindset.
- Self‑motivated and comfortable working independently in a fast‑paced, evolving environment.
Preferred Qualifications
- Experience with metadata standards such as Dublin Core, Schema.org, or industry‑specific tagging frameworks.
- Familiarity with machine‑learning pipelines and an understanding of how data quality impacts model performance.
- Knowledge of content licensing, rights management, and compliance requirements.
- Experience in a startup or high‑growth tech company, with a demonstrated ability to adapt to change.
- Fluency in multiple languages, enhancing the global reach of our content catalog.
Skills & Competencies
- Data Integrity & Quality Assurance
- Metadata Management & Tagging
- SQL & Relational Database Design
- Python/Java/Scala Programming
- Distributed Computing (Spark, Flink, Hadoop)
- Problem‑Solving & Analytical Thinking
- Cross‑Functional Collaboration
- Time Management & Prioritization
- Adaptability & Continuous Learning
Career Growth & Learning Opportunities
At worksphere, we believe in nurturing talent and providing clear career pathways. As a Data Tagger, you will have the opportunity to:
- Progress into senior data roles such as Data Engineer, Data Analyst, or Machine‑Learning Engineer.
- Lead projects that shape the future of our recommendation engine.
- Attend internal and external conferences, workshops, and hackathons.
- Participate in mentorship programs, pairing with senior engineers and product leaders.
- Contribute to open‑source projects and industry standards.
Work Environment & Company Culture
Our culture is built on the principles of transparency, respect, and innovation. We encourage:
- Open communication across all levels.
- Experimentation and calculated risk‑taking.
- Work‑life balance, with flexible hours and remote work options.
- Diversity and inclusion initiatives that celebrate different perspectives.
- Community outreach and volunteer opportunities.
Compensation & Benefits
While the base salary for this role ranges from $35,000 to $40,000 annually, worksphere offers a comprehensive benefits package that includes:
- Health, dental, and vision insurance.
- Mental‑health and wellness programs.
- 401(k) retirement plan with company match.
- Equity participation program.
- Paid time off: 35 days for full‑time hourly employees, with additional days for salaried staff.
- Flexible spending accounts and wellness reimbursement.
- Family‑friendly policies, including parental leave and childcare support.
- Professional development stipend and tuition reimbursement.
How to Apply
Ready to join a team that’s shaping the future of entertainment? Submit your application through our careers portal:
- Complete the online application form.
- Attach your resume, cover letter, and any relevant certifications.
- Provide a recent passport‑size photo and a copy of your degree certificate.
- Submit your application and await a response from our hiring team.
We look forward to learning how your skills and passion align with the mission of worksphere. Apply today and help us bring stories to life for millions around the globe.
Interview Preparation
Our interview process focuses on both technical aptitude and cultural fit. Be prepared to discuss:
- Your experience with data tagging and quality assurance.
- Specific projects where you improved data pipelines.
- How you handle ambiguity and changing priorities.
- Examples of teamwork and cross‑functional collaboration.
- Situations where you identified and resolved data anomalies.
We’re excited to meet you and explore how you can contribute to the next chapter of worksphere’s growth.