AI Training Specialist
Label and categorize text, images, and video data for AI model training
As an AI Training Specialist, you will label and categorize data such as text, images, and short videos according to detailed project guidelines. You will review and verify data for accuracy, consistency, and completeness, identifying and flagging errors or unclear information. Your work ensures high-quality annotated datasets that directly support how AI models learn to recognize patterns accurately.
Why This Role?
Direct contribution to improving AI model accuracy through precise data annotation
Key Responsibilities
- Label and categorize text, images, and short videos based on project guidelines
- Review and verify data for accuracy, consistency, and completeness
- Identify and flag errors, inconsistencies, or unclear data in annotations
- Follow detailed annotation instructions to ensure high-quality results
- Meet productivity and accuracy goals within project timelines
- Maintain confidentiality and adhere to data security standards
Requirements
- Ability to follow detailed annotation instructions accurately
- Strong attention to detail for data labeling and verification
- Capacity to maintain consistency and accuracy under productivity goals
- Understanding of data confidentiality and security standards
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from NoDesk
Original description from NoDesk
As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately. Your main responsibilities will include: Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines Reviewing and verifying data for accuracy, consistency, and completeness Identifying and flagging any errors, inconsistencies, or unclear data Following clear annotation instructions to ensure high-quality results Meeting productivity and accuracy goals within project timelines Maintaining confidentiality and adhering to all data security standards Requirements:
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