About the job Data Labelling Specialist (Pooling)
Company Overview
Catalyst BPX, Inc. is a dynamic and innovative Business Process Outsourcing (BPO) company focused on delivering high-quality services across various industries. We specialize in customer experience, data management, and process optimization, leveraging cutting-edge technology to meet our clients' evolving needs. Our mission is to be the BPO that customers need, eliminate weak processes, and make accountability a standard in business process management.
Position Overview
The Customer Service/Data Labeling Specialist will be responsible for providing exceptional customer service while managing and processing data labeling tasks for our client in the business and productivity software industry. This role is integral to ensuring the accuracy and efficiency of data labeling operations, which are critical to the success of our client’s artificial intelligence and machine learning initiatives.
Key Responsibilities
- Customer Service:
Serve as the primary point of contact for customer inquiries related to data labeling services.
Provide timely, accurate, and effective communication with customers, ensuring a high level of customer satisfaction.
Resolve customer issues and escalations by collaborating with internal teams and ensuring that client expectations are met or exceeded.
Document and track all customer interactions and feedback in the company’s CRM system.
- Data Labeling:
Perform data labeling tasks such as tagging, classification, moderation, annotation, processing, and review of datasets in accordance with project requirements.
Ensure data accuracy by meticulously following labeling guidelines and instructions provided by the client.
Conduct quality checks and revisions on labeled data to ensure consistency and correctness.
Collaborate with the client’s technical teams to understand project-specific data labeling needs and requirements.
Identify and communicate potential improvements in labeling processes to enhance efficiency and accuracy.
- Process Improvement:
Actively participate in process reviews and provide insights to improve the data labeling workflow.
Support the development and implementation of best practices and standard operating procedures (SOPs) for data labeling tasks.
Contribute to training sessions and knowledge-sharing activities to elevate the team's capabilities.
Qualifications
- Education:
Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field preferred.
Equivalent work experience in data labeling, AI, or machine learning projects may be considered.
- Experience:
Minimum of 1-2 years of experience in a customer service role, preferably in a tech or data-driven environment.
Experience in data labeling, annotation, or moderation tasks within AI/ML projects is highly desirable.
- Skills:
Strong understanding of AI and machine learning concepts, particularly related to data labeling and annotation.
Proficiency in using data labeling tools and software.
Excellent communication skills, both written and verbal, with a customer-centric mindset.
Ability to work independently and as part of a team in a fast-paced environment.
Detail-oriented with strong analytical and problem-solving abilities.
Familiarity with CRM systems and data management practices.
- Behavioral Competencies:
Strong organizational skills and the ability to manage multiple tasks simultaneously.
Adaptability and a proactive approach to handling challenges.
Commitment to continuous learning and professional development.