Astronomer Quality Assurance Lead (Remote)

About the role

We are seeking an experienced astronomer to lead quality assurance for AI‑generated astronomy and astrophysics training data. This remote, hourly contract position will guide a distributed team of trainers and QA specialists, ensuring that all content meets rigorous scientific and linguistic standards.

Key responsibilities

• Review AI‑generated astronomy/astrophysics outputs and trainer work against detailed rubrics.
• Provide precise written feedback on scientific accuracy, unit handling, calculations, terminology, and clarity.
• Identify recurring quality issues and communicate updates to the contributor network.
• Support onboarding of new trainers and QAs, maintain documentation, and reactivate inconsistent contributors.
• Collaborate with the AI data services team to align quality processes with client expectations.

Required profile

• Bachelor’s, Master’s or PhD in Astronomy, Astrophysics, Physics or a closely related field.
• Minimum 3 years of experience in research, teaching, scientific communication, or related scientific workflows.
• Strong command of English for written feedback and guideline interpretation.
• Deep knowledge of celestial mechanics, stellar evolution, cosmology, spectroscopy, planetary systems and related topics.

Required skills

• Python programming for data handling and analysis.