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Assistant Data Science Astronomy Jobs (NOW HIRING)

$40/hr

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills ...

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Assistant Data Science Astronomy information

What is the difference between Assistant Data Science Astronomy vs Data Analyst?

AspectAssistant Data Science AstronomyData Analyst
Required CredentialsBachelor's in Astronomy, Data Science, or related fields; some roles prefer certifications in data analysis or programmingBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentResearch institutions, observatories, universities, or space agenciesCorporate offices, financial institutions, healthcare, or marketing firms
Industry UsageAcademic, scientific research, space explorationBusiness, finance, healthcare, marketing
Common Search/ComparisonYesNo

Assistant Data Science Astronomy focuses on supporting research in astronomy and space sciences, often within academic or research institutions, requiring knowledge of astronomy and data analysis. Data Analysts work across various industries analyzing data to inform business decisions, requiring strong analytical skills and familiarity with data tools. While both roles involve data handling, their industries, environments, and specific expertise differ significantly.

More about Assistant Data Science Astronomy jobs
What cities are hiring for Assistant Data Science Astronomy jobs? Cities with the most Assistant Data Science Astronomy job openings:
What are the most commonly searched types of Data Science Astronomy jobs? The most popular types of Data Science Astronomy jobs are:
What states have the most Assistant Data Science Astronomy jobs? States with the most job openings for Assistant Data Science Astronomy jobs include:
Infographic showing various Assistant Data Science Astronomy job openings in the United States as of May 2026, with employment types broken down into 20% Internship, 40% As Needed, 20% Temporary, and 20% Nights. Highlights an 91% Physical, and 9% Remote job distribution.
Data Science Manager - AI Trainer

Data Science Manager - AI Trainer

DataAnnotation

El Paso, TX • On-site, Remote

$40/hr

Full-time

Posted 17 days ago


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr