The work
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.
What it pays and takes
This is a remote, part-time contract opportunity for candidates in the United States. The work is asynchronous and requires strong written communication, careful review, and independent judgment.
- Pay: Up to $75 per hour.
- Time commitment: 20+ hours per week.
- Location: Open to candidates in the United States.
- 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.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.