Remote Social Media Annotation Specialist

Social Media Annotation - Freelance AI Trainer Project United States of America Are you a Social Media Annotation eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of linguistic discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline communication for users everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for Social Media Annotation who will be reviewing videos, posts, and other media from social media networks. You will be assessing whether certain criteria are met. You will also be assessing model outputs across various categories and determining if the outputs meet the criteria specified. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. No formal degree or educational background is required for this project. We value native-level fluency, a deep practical understanding of social media trends, and the ability to recognize cultural nuances. Experience in content moderation, digital media analysis, or community-based projects is a significant plus. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your social media expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $16-to-$28 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Employment type: Freelance / Contract Workplace type: Remote Seniority level: Entry Level Apply for this job * indicates a required field First Name * Last Name * Email * Phone Country * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree * Select... Select... Start date year * End date year * What country are you currently a resident of? * Select... If you are currently based in United States, please confirm your current state of residence. If you are based outside of the United States, select "I am not located in the United States". * Select... LinkedIn Profile * Please acknowledge that you have read and agree to our Privacy Policy. * Yes By clicking "Submit Application", you agree to Invisible's Privacy Policy . #J-18808-Ljbffr Meridial