Astronomer & Space Scientist
SME Careers • Remote • Posted 5 days ago
Education
Any
Type
Pay Rate
$100/task
Posted
5d ago
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Set up your profile →About this Role
If you are an astronomer or space sciences expert who thrives on technical precision, quantitative reasoning, and physics-based problem solving, this is a unique opportunity to contribute directly to how the next generation of AI systems understand and communicate complex space science concepts. We are looking for specialists who can evaluate, challenge, and refine advanced language models on domain-specific topics. Your expertise will directly help improve the world’s premier AI models—and play an important role in shaping the future of AI. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
### Your Profile
- 4+ years of professional experience in astronomy, astrophysics, planetary science, space physics, heliophysics, cosmology, observational astronomy, mission science/operations, instrumentation, or a closely related space science domain.
- Deep knowledge of core fundamentals relevant to your specialty, such as 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 (physics/astronomy/space science/engineering or closely related); Master’s/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 like Python/NumPy/SciPy, data pipelines, catalog queries, photometry/spectroscopy concepts, or mission datasets is a plus.
### Key Responsibilities
- Evaluate AI-generated responses for scientific accuracy, logical soundness, completeness, and clarity across astronomy & space science topics.
- Challenge language models with realistic scenarios, calculations, and “research-style” reasoning tasks (without overclaiming certainty).
- Review and refine AI-generated prompts, model answers, and step-by-step solutions (units, assumptions, approximations, uncertainty).
- Provide structured feedback identifying conceptual errors, bad assumptions, missing constraints, misused formulas, unit mistakes, or misleading/overconfident claims.
- Assess performance on topics such as: 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) Space physics (plasmas, solar wind, magnetospheres) depending on specialty Data interpretation (SNR, selection effects, uncertainties, statistics)
- Help shape AI communication standards for scientific content, especially how models state assumptions, uncertainty, and limits of inference.
🌍 Geographic Availability
This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.
💰 Pay Rate May Vary Based on Your Location
Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.
If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.
Requirements
- Advanced degree or strong hands-on professional experience in the domain
- Ability to pass domain-specific qualification assessments
- Eligible to create a verified account on Deel (for payments/compliance)
- Proficiency in English (for instructions and feedback)
- Available to applicants in 40+ countries
Compensation Analysis
Don't just label data—build a career. SME Careers is unique in the AI training space because it offers a transparent growth ladder. High performers aren't just kept in the queue; they are promoted to Quality Analysts and Project Managers. With weekly transparent payments via Deel and the freedom to work on your own schedule, this is built for modern experts who want long-term engagement.
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Frequently Asked Questions
Is there room for advancement?
Yes. This is a key feature of the platform. They explicitly list a career path: Data Trainer -> Quality Analyst -> QA Lead -> Project Manager. Consistent high-quality work can lead to leadership roles.
How do payments work?
Payments are processed weekly through Deel. This ensures tax compliance and allows them to hire freelancers from over 40 countries securely.
Is the work ongoing or project-based?
Work is project-based, which means assignments can vary in duration and availability. However, top performers often get priority access to new projects.
Is this traditional consulting?
Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.
Why is the pay so high?
This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.
What is the workload like?
This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.
Who is behind SME Careers?
SME Careers is the expert talent division of SuperAnnotate, a leading AI data infrastructure platform. They connect domain experts with high-level AI training projects.