Helping SME's Around The World Employ For a Fraction of the Price!
AI Training Specialist (Data Annotation)
Location
Texas
Posted
67 days ago
Salary
0
Seniority
Mid Level
Job Description
AI Training Specialist (Data Annotation)
Remote Talent
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
Job Requirements
- We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:
- This is a fully remote position, but you must be located within the United States
- Excellent attention to detail and strong organizational skills
- A reliable Internet connection and computer
- The ability to focus for extended periods and follow detailed written instructions
- Strong written communication skills in English
- Previous data annotation, labeling, or transcription experience is a plus, but not required
Benefits
- Fully remote: work from anywhere within the United States
- Full-time and part-time available
- Competitive hourly pay from $20/hr
- Training provided for all annotation tools and workflows
- Gain hands-on experience supporting real-world AI training projects
- Be part of a growing remote team working on cutting-edge technology
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AI Training Specialist (Data Annotation)
Remote TalentHelping SME's Around The World Employ For a Fraction of the Price!
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
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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
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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
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