AI And Machine Learning Researcher

You will create expert training data and evaluate AI-generated content using research knowledge in computer science, machine learning, and artificial intelligence. The work focuses on accuracy, relevance, research methods, and clear written feedback.

This is independent, asynchronous, project-based work that can fit alongside other commitments.

• Create expert-level training data based on computer science, machine learning, and artificial intelligence research.
• Review AI-generated content and responses for accuracy, relevance, and sound research methods.
• Use academic judgment to write precise, useful feedback.
• Work independently and asynchronously with AI research teams.

The work is asynchronous and requires strong written communication, careful review, and independent judgment.

• Time commitment: 20+ hours per week.
• Education: PhD in computer science, machine learning, artificial intelligence, or a related field from a top 100 US university.
• Experience: Research experience in machine learning or artificial intelligence.
• Subject areas: Computer vision, natural language processing, neural and evolutionary computing, robotics, systems and control, or multiagent systems.
• Knowledge: Familiarity with arXiv, especially the Computing Research Repository, also known as arXiv cs.
• Skills: Strong written communication, attention to detail, and the ability to work independently.