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Welocalize, Inc. is seeking detail-oriented Data Annotators in Indonesia to review diverse data and apply precise labels and descriptions according to project guidelines.
Strong written English, careful observation, and the ability to work independently while maintaining high accuracy are essential. Prior annotation experience and familiarity with tools like Label Studio are a plus.
We are seeking detail-oriented individuals to join our AI data annotation projects. As a Data Annotator, you will be responsible for reviewing different types of data, identifying key information, and creating accurate labels and descriptions in accordance with established project guidelines.
This opportunity is ideal for individuals with strong observational skills, good written English proficiency, and the ability to work independently while maintaining high standards of accuracy and consistency.
Project Name: Cursa
Compensation: US$3.5/hour
Examine and annotate different forms of content, such as videos, images, and text, following project-specific instructions.
Recognize and categorize objects, movements, activities, events, and other relevant information within the assigned data.
Produce detailed, well-organized, and accurate written descriptions of the content being reviewed.
Maintain a high level of accuracy and consistency across all annotation tasks.
Flag ambiguous, unusual, or inconsistent data for further clarification or review.
Adhere to established annotation guidelines, workflows, and quality requirements.
Incorporate feedback from quality reviews to continuously improve annotation performance.
Required Skills:
Good command of written English, with the ability to communicate observations clearly and precisely.
Strong attention to detail and the ability to notice subtle differences in visual or written content.
Ability to understand and consistently follow detailed instructions and annotation standards.
Good analytical and problem-solving skills when reviewing and interpreting information.
Effective time management and organizational skills, with the ability to complete tasks independently.
Basic computer literacy and confidence using web-based applications and digital tools.
Preferred Qualifications:
Prior involvement in data annotation, data labeling, transcription, content moderation, or quality control activities.
General understanding of AI development, machine learning, or data preparation processes.
Familiarity with data annotation software or platforms, such as Label Studio or similar tools.