Astronomer Quality Assurance Lead (QAL)

As an Astronomer Quality Assurance Lead, you will review AI-generated astronomy and astrophysics content, trainer submissions, and quality assurance work. You will provide written feedback, identify recurring problems, and help remote expert contributors follow clear review standards.

• Review explanations, calculations, diagrams, observational interpretations, comparisons, and step-by-step reasoning for scientific accuracy and clarity.
• Check trainer and quality assurance submissions against project guidelines and detailed review rubrics.
• Identify incorrect physical assumptions, wrong units, flawed calculations, unsupported facts, misleading explanations, and oversimplified conclusions.
• Communicate quality updates and help trainers and reviewers align on project expectations.
• Maintain style guides, FAQs, trackers, examples, calibration tasks, and onboarding materials.
• Support contributor onboarding follow-up and improvements to quality workflows.

This is a remote, part-time contractor role for candidates in the United States. The listing is marked entry level, but the work requires strong astronomy or astrophysics knowledge and careful scientific review.

• $110 per hour.
• 20 or more hours per week.
• Remote work open to candidates in the United States.
• Professional fluency in English for clear written feedback and team coordination.
• A degree in Astronomy, Astrophysics, Physics, Space Science, Planetary Science, Cosmology, or a closely related field.
• Strong knowledge of celestial mechanics, stellar evolution, galaxies, cosmology, electromagnetic radiation, observational methods, spectroscopy, planetary systems, black holes, and scientific uncertainty.
• Experience in astronomy or astrophysics research, teaching, science communication, academic review, data analysis, observatory work, or related scientific workflows.
• Experience with AI training, data annotation, large language model evaluation, scientific quality assurance, academic review, or rubric-based review is a strong plus.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind artificial intelligence, including reviewing model responses, checking calculations, and preparing examples that help systems improve. OpenTrain is a free platform where people find AI training and data-labeling projects, build a profile, and apply in minutes; experienced contributors are paid for the subject knowledge and careful judgment these projects require.