Human-in-the-Loop Data Labeler
7 days ago
About Reading
Reading is a leader in the field of data annotation. We are seeking a highly skilled Human-in-the-Loop Data Labeler to join our team.
Job Description
In this role, you will be responsible for manually labeling data items for our clients in the data annotation space.
Responsibilities
- Manually label data items to ensure accuracy and reliability.
- Verify the accuracy and reliability of data sets.
- Create targeted sets to evaluate and improve judgment quality.
- Annotate search results based on how well they satisfy user needs.
- Verify annotated data and correct any errors.
- Maintain records of completed work.
- Ensure consistency in data labeling.
- Provide feedback to improve data labeling processes.
- Collaborate with team members to meet project objectives.
- Analyze test results to identify areas of weakness and make recommendations for improvement.
Requirements
- A bachelor's or master's degree.
- Fresh graduate in bachelor's degree in English Language/TESL is a plus.
- Excellent understanding in US English. Someone who used to study and live in US is a plus.
- 1-2 years of working experiences in annotation, data analyst OR content moderator is a plus.
- Experience with data labeling and categorizing.
- A keen eye for detail to ensure accuracy in labeling.
- Strong research skills to analyze the possible intents behind user search queries.
- Ability to manage time effectively and meet deadlines.
- Ability to analyze data and follow complex instructions.
- Ability to aggregate and analyze data in Excel.
- Listening to content and transcribing the content (Listening, Speaking, Reading, Writing).
- Understanding of the domain relevant to the annotation project (Ex: Audio, Text annotation, speech recognition, Natural language Processing) is preferred.
- Experience with annotation tools and platforms is preferred.
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