> Markdown version of [/jobs/ext/3971860-ai-training-specialist-data-annotation](https://www.wearedevelopers.com/jobs/ext/3971860-ai-training-specialist-data-annotation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Training Specialist (Data Annotation) - **Company:** Remote Talent Cloud - **Location:** San Diego, CA, United States (Remote available) - **Salary:** $41,600 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Cyber Security, Data Security, Machine Learning - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-training-specialist-data-annotation-san-diego-ca--ce352a7f-47d5-4725-8c78-c503099ef1dc ## About the Role Artificial Intelligence (AI), Training Data Sets, Artificial Intelligence (AI), Training Data Sets, Data Quality, Time Management, Information/Data Security (InfoSec), Detail Oriented, Organizational Skills, Communication Skills, 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 ## Description 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