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Data Annotator
2 weeks ago
**Overview**:
**Key Responsibilities**:
- Review, annotate, and label datasets according to provided guidelines and specifications.
- Ensure consistency and accuracy in data annotation to maintain high-quality standards.
- Collaborate closely with team members to understand project requirements and tackle specific data challenges.
- Identify and report anomalies or inconsistencies in data that may impact analysis.
- Participate in regular training and feedback sessions to enhance annotation skills and techniques.
- Utilize annotation tools and software effectively to streamline the workflow.
**Technical Skills**:
- Proficiency in data annotation tools and platforms (e.g., Labelbox, Amazon Sagemaker, VGG Image Annotator).
- Familiarity with basic programming concepts and scripting languages (e.g., Python) is a plus.
- Understanding of data management and database systems.
- Capability to handle large datasets and perform data validation.
**Required Qualifications**:
- A high school diploma or equivalent; a bachelor’s degree in a relevant field is preferred.
- Previous experience in data annotation or a related role is advantageous but not mandatory.
- Strong attention to detail and a methodical approach to work.
**Skills & Experience**:
- Demonstrated experience in data annotation across various types of media (text, images, audio, etc.).
- Excellent organizational and time-management skills.
- Strong communication skills to collaborate effectively with team members.
- Problem-solving abilities to address challenges that arise during the annotation process.
This position is ideal for individuals who are detail-oriented and passionate about contributing to the advancement of machine learning technologies.