As a Data Annotator, you will annotate and label data, ensure quality through rigorous QC processes, collaborate with teams, and manage documentation.
Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals.
Roles and Responsibilities:
- Annotate and label various types of data (e.g., text, images) according to specified guidelines and requirements.
- Ensure high-quality annotations and data labeling that meet accuracy and consistency standards through rigorous Quality Control processes.
- Develop and implement Quality Control measures and procedures for annotated data.
- Collaborate with the data science and engineering teams to understand annotation requirements and contribute to the improvement of annotation processes.
- Work efficiently to meet deadlines while maintaining the quality and accuracy of annotated data.
- Report issues or inconsistencies in the data and suggest improvements in annotation guidelines or tools.
- Maintain proper documentation and records of annotated data and processes.
Qualification/Requirements:
- Proven experience in data annotation, preferably in a QC-focused role.
- Strong attention to detail and ability to maintain accuracy in annotation tasks.
- Familiarity with annotation tools and software.
- Excellent understanding of annotation guidelines and specifications.
- Ability to communicate effectively and provide clear feedback to annotation teams.
- Strong organizational skills and the ability to manage time effectively to meet QC deadlines.
- Analytical mindset and problem-solving skills to identify and address QC issues effectively.
- Having good hands-on experience in SQL and Python is a plus.
Only those candidates can apply who:
- Are available for the work from home job.
- Are available immediately.
- Have relevant skills and interests.
Top Skills
AI
Ml
Python
SQL
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