Astronomy & Cosmology Expert (ALE)
Company shown to members 🔒 · Remote · UK, Poland only
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First recorded by Psst: 24 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 3+ years required
- Where you can live
- UK, Poland only
- Languages
- English
- Skills and tools
- python, written communication
- Degree or licence
- Mentioned (degree in)
- Job type
- Contract or freelance
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Job details
- Where you can work
- United Kingdom, Poland
- Employment type
- Contract
- Advertised pay
- $30–80/hr
- Experience
- 3+ years required
- Employer publication date
- 23 October 2026
- First recorded by Psst
- 24 October 2026
- Last checked at the source
- 10 November 2026
About the job
About the opportunity
The company is seeking Astronomy & Cosmology Experts to develop challenging tasks that test AI agents’ scientific reasoning and research capabilities. You will create original tasks and reference solutions, then evaluate agents completing workflows using astronomical data and computational tools.
Location: Remote — Latin America and Europe
Engagement: Project-based with flexible hours
Compensation: US$30–US$80 per hour, depending on expertise and project requirements
Responsibilities
- Design tasks involving observational astronomy, astrophysics, celestial mechanics, or cosmology.
- Develop reference solutions with transparent calculations, assumptions, and supporting evidence.
- Evaluate agents using astronomical catalogs, data archives, simulation tools, or analysis software.
- Define scoring criteria for physical reasoning, numerical accuracy, and uncertainty handling.
- Identify errors in units, coordinate systems, model selection, or interpretation.
Requirements
- Advanced degree in astronomy, astrophysics, cosmology, or a related discipline, or equivalent professional expertise.
- 3+ years of relevant research or applied experience.
- Strong quantitative skills and experience working with astronomical data or models.
- Fluent English, with strong written communication skills.
Preferred qualifications
Experience with Python, Astropy, scientific computing, observational data reduction, or numerical simulations.
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