Social Media Annotator - Freelance AI Trainer Project
About the position Are you a Social Media Annotator 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 Annotators 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.
Responsibilities
- Reviewing videos, posts, and other media from social media networks
- Assessing whether certain criteria are met
- Assessing model outputs across various categories and determining if the outputs meet the criteria specified
- Converse with the model on language scenarios
- Verify factual accuracy and logical soundness
- Capture reproducible error traces
- Suggest improvements to our prompt engineering and evaluation metrics
Requirements
- Native-level fluency
- A deep practical understanding of social media trends
- The ability to recognize cultural nuances
- Clear, metacognitive communication—“showing your work”
- As a contractor you’ll supply a secure computer and high‑speed internet
Nice-to-haves
- Experience in content moderation
- Experience in digital media analysis
- Experience in community-based projects
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