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Automated CS Planning PhD Expert at Mercor

posted 1 hour ago
mercor.com Contractor remote: US/UK/CA/NZ 55-80/hr 27 views

Automated CS Planning PhD / Domain Expert | $55–80/hr | Remote (US, UK, Canada, Australia, New Zealand)

Mercor is partnering with one of the world's leading AI labs to find Automated CS Planning PhDs and Domain Experts for a high-impact AI data project. This is a flexible contractor role where your deep technical expertise directly shapes the future of large language models.

What You'll Do

You will apply your subject matter expertise to generate challenging, high-quality problems in your domain that will be used to train and refine state-of-the-art AI systems. Your contributions will play a meaningful role in advancing cutting-edge AI research and innovation.

Who We're Looking For

  • A PhD or advanced degree (or equivalent research experience) in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research — ideally with a focus on automated planning or symbolic AI
  • Strong attention to detail with a rigorous, analytical mindset
  • Excellent written and verbal communication skills

Screening Process

Applicants will complete a short interview and task estimated at 20–30 minutes. If selected, you will be compensated for up to 1 hour of onboarding time, which includes the screening and a few onboarding videos.

Eligibility

This role is currently open to applicants based in the United States, United Kingdom, Canada, Australia, and New Zealand.

Ready to put your expertise to work on the frontier of AI? Apply today!

How to apply for this role
  • Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
  • Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
  • Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.
Benture is an independent job board and is not affiliated with Mercor.

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