Astronomy AI Quality Assurance Specialist

SME Careers; Indonesia; Sur place; IDR 300 000 000 - 420 000 000; Plein temps

Résumé du poste

SME Careers seeks experts in astronomy/space science to evaluate and refine AI systems on domain-specific topics. You will critique AI outputs, propose improvements, and ensure rigorous scientific standards across orbital mechanics, astrophysics, cosmology, and data interpretation.

With 4+ years in the field, you’ll contribute to an expert network and gain access to future opportunities as they arise. This is a remote-friendly role within SME Careers’ expert network.

Qualifications

• Bachelor’s degree required (physics/astronomy/space science/engineering or closely related).
• Master’s/PhD strongly preferred.

Responsabilités

• Evaluate AI-generated responses for scientific accuracy, logical soundness, and clarity across astronomy topics.
• Challenge language models with realistic scenarios and research-style reasoning tasks.
• Review and refine AI-generated prompts, model answers, and step-by-step solutions (units, assumptions, uncertainty).
• Provide structured feedback identifying errors, bad assumptions, missing constraints, and misused formulas.
• Assess performance on orbital mechanics, astrophysics, cosmology, planetary science, space physics, and data interpretation.
• Help shape AI communication standards for scientific content, especially how models state assumptions and uncertainty.

Connaissances

Astronomy expertise

Analytical reasoning

Uncertainty communication

Team collaboration

Formation

Bachelor’s degree in physics/astronomy/space science/engineering

Master’s/PhD strongly preferred

Outils

Python/NumPy/SciPy

Data pipelines

Catalog queries

Photometry/Spectroscopy concepts

Description du poste

SME Careers seeks experts in astronomy/space science to evaluate and refine AI systems on domain-specific topics. You will critique AI outputs, propose improvements, and ensure rigorous scientific standards across orbital mechanics, astrophysics, cosmology, and data interpretation.

With 4+ years in the field, you’ll contribute to an expert network and gain access to future opportunities as they arise. This is a remote-friendly role within SME Careers’ expert network.