ParallelDots Off Campus Drive Hiring As Data Tagging Executive | 2-5 LPA
ParallelDots is an artificial intelligence (AI) and machine learning (ML) company based in India. The company
specializes in developing innovative AI solutions and products that leverage natural language processing (NLP),
computer vision, and other advanced technologies.
ParallelDots is known for providing AI-driven
applications and
APIs (Application Programming Interfaces) that cater to diverse industries, including marketing, finance, and
customer support. Their offerings include sentiment analysis, language translation, image recognition, and chatbot
development tools. ParallelDots aims to empower businesses with AI capabilities, allowing them to derive
meaningful insights and enhance their operational efficiency.
| Eligibility Criteria | ||
|---|---|---|
| Job Role | Data Tagging Executive | |
| Qualification | Any Graduate | |
| Experience | Freshers | |
| Location | Remote | |
| Salary | 2-5 Lacs P.A. | |
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ParallelDots Work From Home Job – Roles & Responsibilities For Data Tagging Executive :
- Data Classification: Data Tagging Executives are responsible for categorizing and labeling data based on predefined criteria. This involves understanding the content of the data and applying appropriate tags or labels to facilitate accurate organization and retrieval.
- Quality Assurance: Ensuring the accuracy and consistency of data tagging is crucial. Data Tagging Executives may be responsible for conducting quality checks to verify that data is correctly labeled according to established standards and guidelines.
- Data Enrichment: Some roles may involve enriching data by adding additional tags or metadata to enhance its value. This could include linking related information, adding contextual details, or improving the overall data quality.
- Documentation: Data Tagging Executives often need to document the tagging processes and maintain records of tagged data. This documentation helps in tracking changes, ensuring transparency, and providing a reference for future data management activities.
- Collaboration with Teams: Collaboration with other teams, such as data management, analytics, or content creation teams, is common. Data Tagging Executives may need to communicate effectively with cross-functional teams to understand tagging requirements and ensure alignment with overall data strategies.
ParallelDots Work From Home Job – Skills Required For Data Tagging Executive
- Attention to Detail: Precision and accuracy are essential in data tagging. A Data Tagging Executive must pay close attention to details to ensure that data is categorized and labeled correctly according to established criteria.
- Analytical Skills: The ability to analyze data content and determine appropriate tags or labels is crucial. Data Tagging Executives need analytical skills to understand the context of the information and make informed decisions about how it should be tagged.
- Knowledge of Data Management Tools: Familiarity with data management tools and platforms used for tagging and categorizing data is important. Proficiency in tools that facilitate efficient data tagging contributes to the effectiveness of the role.
- Communication Skills: Effective communication is necessary for collaborating with cross-functional teams, understanding tagging requirements, and documenting processes. Clear communication ensures that data is tagged in accordance with organizational standards.
- Adaptability: As data sets and tagging requirements may vary, being adaptable is valuable. Data Tagging Executives should be able to adapt to different types of data, industry-specific requirements, and evolving tagging standards.