Astronomer & Space Scientist NEW

Job Summary

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, is seeking an astronomer or space sciences expert to enhance the accuracy and reliability of AI systems in understanding complex space science concepts. This role involves evaluating, challenging, and refining advanced language models on domain-specific astronomy and space science topics to improve the world’s leading AI models.

Key Responsibilities

• Evaluate AI-generated responses for scientific accuracy, logical soundness, completeness, and clarity across astronomy and space science topics.
• Challenge language models with realistic scenarios, calculations, and research-style reasoning tasks while avoiding overclaiming certainty.
• Review and refine AI-generated prompts, model answers, and step-by-step solutions, ensuring proper units, assumptions, approximations, and uncertainty handling.
• Provide structured feedback identifying conceptual errors, flawed assumptions, missing constraints, misused formulas, unit mistakes, or overconfident claims.
• Assess performance on specialized topics including orbital mechanics (transfer intuition, perturbations basics, reference frames), stellar/galactic astrophysics (luminosity/flux, magnitudes, spectra, distances), cosmology basics (redshift, expansion concepts, observational constraints), planetary science (thermal balance, atmospheres basics, surface processes), and space physics (plasmas, solar wind, magnetospheres).
• Help shape AI communication standards for scientific content, particularly how models state assumptions, uncertainty, and limits of inference.

Qualifications

• 4+ years of professional experience in astronomy, astrophysics, planetary science, space physics, heliophysics, cosmology, observational astronomy, mission science/operations, instrumentation, or related space science domains.
• Deep knowledge of core fundamentals relevant to your specialty, including classical mechanics, electromagnetism, radiative processes, stellar/galactic physics, orbital mechanics, coordinate systems, time standards, statistics/uncertainty, and scientific modeling assumptions.
• Strong ability to sanity-check results (orders of magnitude, unit consistency, limiting cases, error propagation) and communicate limitations responsibly.
• Bachelor’s degree required in physics, astronomy, space science, engineering, or closely related fields; Master’s or PhD strongly preferred.
• Experience with AI data training, annotation, red-teaming, or evaluating AI-generated technical content is a strong plus.
• Familiarity with tools/workflows such as Python/NumPy/SciPy, data pipelines, catalog queries, photometry/spectroscopy concepts, or mission datasets is a plus.

Important Notes

There is no immediate project for this role; however, if qualified, you will be among the first experts SME Careers reaches out to when relevant opportunities arise. This provides access to future projects through their expert network.

How to apply

Apply online at: https://www.linkedin.com/jobs/view/4454302598/
Original listing source: LinkedIn / External recruitment platform.