Data Engine
Annotate Data to Fuel AI Development and Earn Rewards through a Transparent Mechanism.
What you will do as a Data Annotator
Take on Quests
Take on quests like annotating data for AI training, evaluating AI responses, ensuring AI safety, and more.
Earn Rewards
Receive NFTs and cryptocurrency for completing quests successfully.
Level Up
Advance through levels and unlock more challenging and rewarding quests.
Influence AI
Make a direct impact on AI development, promoting responsible AI and ensuring AI safety.
Train AI
Training data powers AI like premium gasoline powers an engine. Just as crude oil needs refining, raw data requires careful data labeling, annotation, and curation. This process is crucial for effective AI training, ensuring models achieve both accuracy and reliability.Label Data
Provides accurate and relevant labels for raw data, which are essential for training AI models to make precise predictions.
Curate Data
Transforms raw data into structured, labeled datasets, facilitating effective training and evaluation of machine learning algorithms.
Evaluate AI
Evaluating AI is like running tests for fine-tuning high-performance engines. It's intricate and demands precision. For advanced generative AI models, this means rigorously assessing performance to ensure accuracy and reliability across various scenarios.Rate AI Output
Use thumbs up or down to offer direct feedback, which aids in refining AI behavior and enhancing output quality.
Vote for Excellence
Choose the most effective response from multiple AI-generated options to guide model enhancements and ensure peak performance. Your selection helps fine-tune the AI's output, driving continuous improvement and delivering higher-quality results.
Provide Feedback
Review and assess language model responses to measure their precision and reliability, pinpointing areas for enhancement.
Harness AI
Harnessing AI is like steering and safeguarding the vehicle. It's about guiding the technology to ensure it serves humanity effectively and safely. Ultimately, AI should be here to benefit human beings.Identify AI vs. Human Content
Differentiate between AI-generated and human-generated content to enhance transparency and understanding.
Assess Harmfulness
Evaluate content for potential risks and provide feedback to ensure AI practices are safer and more responsible.
Shape AI's Future
Share your insights and preferences to influence the development of AI technologies, helping to align them with human values and needs.
Uses Cases Supported by Data Engine
High-quality, large-scale, and diverse datasets powered by data annotators from a global and engaging community.
Gather and label image datasets for image classification, object detection, and image segmentation.
Collect and annotate text data for tasks such as sentiment analysis, language translation, and text generation.
Utilize Reinforcement Learning from Human Feedback (RLHF) for model development, evaluation, safety, and alignment.
Annotate data for recommendation systems, receipt transcription, and more.
Compile and annotate audio datasets for accurate speech-to-text and voice command applications.
Collect bounding boxes to identify the position of cars, pedestrians, traffic lights in your data for training self-driving algorithms.