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About skillspath – Pioneering Immersive Experiences Through Intelligent Technology
skillspath is a global leader in creating unforgettable, technology‑driven experiences for millions of guests every year. With a heritage rooted in imagination and a relentless drive to push the boundaries of what’s possible, skillspath blends storytelling, cutting‑edge research, and advanced artificial intelligence (AI) to craft moments that delight, inspire, and surprise. Our mission is simple: to turn curiosity into wonder by delivering seamless, personalized experiences that feel magical every time.
As part of our continuous evolution, skillspath is expanding its AI‑powered data ecosystem. We are looking for enthusiastic, detail‑oriented individuals who are eager to join our remote workforce and help shape the next generation of intelligent experiences. No prior professional experience is required—just a passion for customer service, a love for innovative technology, and a willingness to learn.
Position Overview – Remote Data Entry & AI Knowledge Engineer
In this entry‑level role, you will become an essential member of the AI Knowledge Engineering team, supporting the creation, refinement, and maintenance of data pipelines that power skillspath’s AI and machine‑learning (ML) models. Working closely with data scientists, engineers, and product owners, you will help ensure that the data feeding our intelligent systems is accurate, well‑structured, and ready for large‑scale deployment. This is a fully remote position, allowing you to contribute from the comfort of your own home while becoming an integral part of the skillspath family.
Key Responsibilities
- Data Collection & Entry: Accurately input and validate raw data from a variety of sources, including text, images, video, and sensor logs, ensuring completeness and consistency.
- Data Quality Assurance: Perform routine checks, flag anomalies, and collaborate with senior team members to resolve data integrity issues.
- Support ML Model Development: Assist data scientists in preparing training datasets, labeling data, and organizing data assets for model training, evaluation, and production.
- Documentation & Knowledge Sharing: Maintain clear, up‑to‑date documentation of data schemas, processing steps, and quality metrics to facilitate cross‑functional collaboration.
- Tool & Platform Utilization: Use industry‑standard tools such as Python, SQL, Git, and cloud services (AWS, GCP) to manage data workflows and version control.
- Collaboration & Communication: Engage regularly with internal partners—including product managers, engineers, and customer support teams—to understand data requirements and translate business needs into technical specifications.
- Process Improvement: Identify opportunities to automate repetitive tasks, streamline data pipelines, and enhance overall efficiency through scripting and basic automation.
- Support Productionization: Participate in the deployment of ML models by ensuring that data inputs meet the operational standards required for real‑time inference.
Essential Qualifications
- High school diploma or equivalent; a bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field is a plus but not mandatory.
- Strong analytical mindset with an eye for detail and a commitment to data accuracy.
- Basic familiarity with programming concepts; exposure to Python or another scripting language is advantageous.
- Comfortable working with structured and unstructured data formats (e.g., CSV, JSON, images, video).
- Effective written and verbal communication skills, enabling clear articulation of data issues and collaborative problem‑solving.
- Self‑motivated, able to manage time effectively in a remote work environment, and eager to take ownership of tasks.
- Passion for technology, AI, and the mission of creating magical experiences for guests worldwide.
Preferred Qualifications & Technical Skills
- 2+ years of hands‑on experience with Python, including familiarity with data‑handling libraries such as Pandas, NumPy, or similar.
- Exposure to machine‑learning frameworks (TensorFlow, PyTorch, SparkML, MXNet, LightGBM, etc.) and an understanding of how data fuels model training.
- Experience with cloud platforms (AWS, Google Cloud Platform) and basic knowledge of services like S3, BigQuery, or Cloud Storage.
- Understanding of software development lifecycle (SDLC), quality assurance (QA) processes, and version‑control systems (GitHub, GitLab).
- Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar workflow managers.
- Knowledge of containerization (Docker) and orchestration (Kubernetes) is a strong plus.
- Experience with monitoring and logging tools (Splunk, Grafana, Plotly) for data validation and performance tracking.
- Exposure to continuous integration/continuous deployment (CI/CD) pipelines and automated testing frameworks.
- Advanced degrees (M.S. or Ph.D.) in Data Science, Computer Science, or related disciplines are desirable but not required.
Core Skills & Competencies for Success
- Problem‑Solving: Ability to dissect complex data challenges, propose logical solutions, and iterate quickly.
- Collaboration: Strong team player who can build relationships across diverse functional groups, from engineers to product owners.
- Adaptability: Comfortable navigating a fast‑paced, ever‑changing environment where priorities shift based on business needs.
- Attention to Detail: Meticulous approach to data entry and validation, ensuring high‑quality inputs for downstream AI models.
- Learning Agility: Eagerness to acquire new technical skills, adopt emerging tools, and stay current with AI/ML trends.
- Customer‑Centric Mindset: Understanding that every data point ultimately contributes to a better guest experience.
Learning & Development Opportunities
skillspath invests heavily in the growth of its people. As a Data Entry & AI Knowledge Engineer, you will have access to:
- Structured onboarding programs that cover data fundamentals, cloud basics, and AI concepts.
- Mentorship from senior data scientists and ML engineers who will guide your technical development.
- Online learning platforms (Coursera, Udacity, Pluralsight) with funded courses in Python, cloud computing, and machine learning.
- Regular internal “Tech Talk” sessions where teams share breakthroughs, best practices, and emerging research.
- Opportunities to transition into more advanced roles such as Data Analyst, ML Engineer, or Product Specialist as you gain experience.
Compensation, Perks & Benefits
While specific salary ranges will be discussed during the interview process, skillspath offers a competitive compensation package that includes:
- Base salary aligned with market standards for entry‑level remote positions.
- Performance‑based bonuses tied to project milestones and data quality metrics.
- Comprehensive health, dental, and vision coverage.
- Retirement savings plan with company matching contributions.
- Generous paid time off, including holidays and personal days.
- Flexible work hours and a fully remote work model, enabling work‑life balance.
- Technology stipend for home office setup (monitor, ergonomic chair, high‑speed internet).
- Access to exclusive skillspath experiences, virtual events, and community‑building activities.
Work Environment & Culture at skillspath
skillspath prides itself on a culture that celebrates creativity, curiosity, and collaboration. Even though this role is remote, you will be part of a vibrant, inclusive community that values:
- Innovation: Employees are encouraged to experiment, share ideas, and challenge the status quo.
- Diversity & Inclusion: A workplace where every voice is heard, and diverse perspectives drive better outcomes.
- Transparency: Open communication channels with leadership, regular town‑hall meetings, and clear visibility into company goals.
- Well‑Being: Programs that support mental health, physical wellness, and personal development.
- Recognition: Celebrating achievements through awards, shout‑outs, and career‑advancement pathways.
Why Join skillspath?
Joining skillspath means becoming part of a legacy of imagination and a future of intelligent experiences. You will:
- Contribute directly to products that delight millions of guests worldwide.
- Gain hands‑on experience with cutting‑edge AI and cloud technologies.
- Work alongside passionate professionals who are leaders in their fields.
- Enjoy the flexibility of remote work while feeling connected to a global mission.
- Accelerate your career through continuous learning and clear advancement pathways.
How to Apply
If you are ready to embark on a rewarding journey where your curiosity meets cutting‑edge technology, we invite you to submit your application today. Click the link below to begin the process. We look forward to welcoming you to the skillspath family!
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