Data Annotator - Part time/Student

Job Description

Q collects many terabytes of data on a daily basis which already accumulates to petabytes of data. The challenge of the Data Optimization Lead is to make sure the data is clean and of high quality, understand the gaps in our datasets and guide our data collection operations to collect what we need. Finally, you will be defining the company's validations sets to meet the product's success goals.

Responsibilities:

• Data Labeling & Annotation: Accurately label and annotate various types of data based on predefined guidelines and requirements.
• Quality Assurance: Ensure the quality and consistency of annotated data by following established protocols and guidelines.
• Workflow Efficiency: Work efficiently to meet productivity targets while maintaining high standards of accuracy and precision in data annotation.
• Documentation: Maintain detailed records and documentation of annotated data, including any exceptions or issues encountered during the annotation process.
  
  

• Attention to Detail: Strong attention to detail and ability to consistently deliver high-quality annotated data.
• Familiarity with Annotation Tools and Reporting Tools: Proficiency in using annotation tools and platforms for labeling various data types and reporting tools such as spreadsheets, docs and messaging apps.
• Understanding of Guidelines: Ability to adhere to labeling guidelines and instructions provided for different annotation tasks.
• Adaptability: Capability to adapt to changing annotation requirements and workflows.
• Team Player: Collaborative mindset and willingness to work within a team-oriented environment.
• Knowledge of Google suite/MS suite tools (Excel/Sheets, Docs, Email,etc.)
• SQL and Basic Python - Advantage