Freelance Generalist AI Annotator

Freelance Generalist AI Annotator

This is a freelance, paid earning opportunity through Uber AI Solutions. We partner with independent contractors to support large-scale Generative AI (GenAI) model evaluation and quality initiatives.

As an individual contributor, you’ll evaluate AI-generated responses for accuracy, truthfulness, and completeness. This is a remote, contract-based engagement with flexible hours.

You could work on a variety of tasks including, but not limited to:

• Evaluate AI outputs: Review and rate text, images, and audio across general knowledge topics.
• Assess quality: Score responses for factual accuracy and depth of insight.
• Apply guidelines: Follow structured rubrics to ensure objective assessments.
• Identify gaps: Flag hallucinations or low-quality responses.
• Write Prompts: Generate diverse and creative text-based inputs to test the limits and reasoning of AI models.

Opportunity details

• Flexibility: You can earn on your own schedule. Work asynchronously from any time zone at the times that work best for you.
• Location: Remote (US-based only). 
• Commercials: Earning potential of $15–$30 USD/hr. Your individual rate depends on the tasks assigned and your quality results.
• Payment type: This is a 1099 contract engagement.
• Uber AI Solutions portal: You'll earn and receive tasks through the Uber AI Solutions portal
• Technology requirements: You'll need access to a computer and a reliable internet connection. Platform access and documentation will be provided.

Who we’re looking for

We’re looking for contractors who bring rigor, consistency, and strong analytical judgment to AI evaluation work.

• Native English proficiency.
• Prior experience in GenAI / LLM response evaluation is preferred..
• Highly analytical with a strong focus on factuality and accuracy.
• Comfortable working independently as an individual contributor.
• Detail-oriented with the ability to follow structured guidelines.

Why this work matters

Your contributions directly impact the quality, trustworthiness, and reliability of Generative AI systems used at scale. By improving how AI models evaluate and present information, your work helps advance responsible AI development and real-world performance.