ZipRecruiter

Log In

2

Entry Level Scientific Data Curator Jobs (NOW HIRING)

Edison Scientific

Scientific Evals

San Francisco, CA · On-site

Edison Scientific builds and commercializes AI agents for science, and they are seeking an ... data curation, and machine learning. Responsibilities : • Design benchmarks that capture the ...

Edison Scientific

Scientific Evals

San Francisco, CA · On-site

$160K - $300K/yr

This role sits at the intersection of biology, data curation, and machine learning, and is ideal for someone with deep scientific training who is excited to shape how frontier AI systems learn to do ...

Edison Scientific

Scientific Evals

San Francisco, CA · On-site +1

$160K - $300K/yr

This role sits at the intersection of biology, data curation, and machine learning, and is ideal for someone with deep scientific training who is excited to shape how frontier AI systems learn to do ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... Your role will involve data curation, analysis, interpretation, visualization, and communication of ...

next page

Showing results 1-20

All JobsEntry Level Scientific Data Curator Jobs

Entry Level Scientific Data Curator information

See salary details

$25.5K

$72.6K

$119.5K

How much do entry level scientific data curator jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entry level scientific data curator in the United States is $72,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $94,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Scientific Data Curator vs Entry Level Data Analyst?

AspectEntry Level Scientific Data CuratorEntry Level Data Analyst
Required CredentialsBachelor's in Science, Data Management, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch labs, scientific institutions, data repositoriesBusiness, finance, healthcare, or tech companies
Employer & Industry UsageAcademic, research, scientific organizationsCorporate, consulting, government agencies
Search & Comparison IntentUnderstanding roles in scientific data managementAnalyzing data for insights and reporting

While both roles involve working with data, the Entry Level Scientific Data Curator focuses on organizing and maintaining scientific datasets within research environments, whereas the Entry Level Data Analyst interprets data to generate insights for business decisions. The credentials, work settings, and industry usage overlap but serve different primary objectives.

More about Entry Level Scientific Data Curator jobs
What are the most commonly searched types of Scientific Data Curator jobs? The most popular types of Scientific Data Curator jobs are:
What job categories do people searching Entry Level Scientific Data Curator jobs look for? The top searched job categories for Entry Level Scientific Data Curator jobs are:
Entry Level Scientific Data Curator jobs near you
Infographic showing various Entry Level Scientific Data Curator job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.

Research Scientist - Data

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

Sunnyvale, CA • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
MBZUAI is a dedicated research lab focused on advancing AI research and development. As a Research Scientist in the Data team, you will curate high-quality data at web-scale to support the development of next-generation foundation models and collaborate with cross-functional teams to drive impactful AI discoveries.
Responsibilities:
• Pioneer web-scale data collection and curation methodologies for LLMs and multi-modal foundation models.
• Design and implement novel data synthesis pipelines for code, mathematics, and agentic reasoning datasets.
• Trace the impact of data from pre-training to final model capabilities and create automated quality assessment frameworks for massive datasets
• Design data recipes that maximize model capabilities across diverse domains.
• Optimize data-model co-design for improved training dynamics.
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s AI research and innovation.
Qualifications:
Required:
• Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required.
• Experience working with large language models, including evaluation, fine-tuning, and prompt engineering.
• Strong Python development skills with a focus on research-grade code and scalable data pipelines.
• Familiarity with collecting and processing large-scale datasets from open-source and web resources.
• Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging).
• Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.
• Effective communication and collaboration skills for working in cross-functional teams.
Preferred:
• PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on LLMs and data is preferred.
• Prior research experience in areas such as web data curation and mixing, synthetizing complex datasets for training, LLM evaluation, post-training data, efficient inference, LLM-as-a-judge, tokenization.
• Strong publication record in leading AI conferences (e.g., NeurIPS, ICLR, ICML, EMNLP) and/or prior contributions to open-source AI research or data tools.
• Hands-on experience training language/multi-modal models from scratch.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.

Apply