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Entry Level Scientific Data Curator Jobs (NOW HIRING)

WI · On-site

NVIDIA is seeking a Senior Applied Research Scientist to advance deep learning data curation and document extraction pipelines for foundation-model training. You will tackle multi-modal data ...

New

Clinical Data Manager

Manhattan, NY · On-site

$120 - $160/hr

Collaborate with a cross-functional team including technical (e.g., software engineering, data science), client solutions, and research scientists to ensure data curation process meets customer needs ...

Curator Archivist

Norman, OK · On-site

$18.99/hr

... Biology, Biological Sciences, Museum * Studies, or a related field, with an emphasis in fish ... Experience with database management and relational databases and knowledge of external data ...

Data Coordinator

Anchorage, AK · On-site

$58 - $72/hr

... curation and data product development. In this role, you will organize, document, and preserve ... related scientific discipline. Entry-level candidates will be considered; however, relevant ...

... curation and data product development. In this role, you will organize, document, and preserve ... related scientific discipline. * Entry-level candidates will be considered; however, relevant ...

Support consistent quality standards on proposal and project delivery. * Entry level scientific professional responsible for gathering data and information to be evaluated by other team members.

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 ...

Showing results 21-40

Entry Level Scientific Data Curator information

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$25.5K

$72.6K

$119.5K

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

As of Sep 7, 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:

Infographic showing various Entry Level Scientific Data Curator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.

AI Research Scientist, Pre-training Data - MSL FAIR

Meta

Menlo Park, CA • On-site

$184K - $257K/yr

Full-time

Re-posted 11 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for researchers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL.
Responsibilities
Collaborate with cross-functional teams to develop Meta's next foundational models
• Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
• Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
• Architect efficient and scalable data curation systems and pipelines
• Execute on high priority projects in pre-training, mid-training, or post-training data curation
• Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
• Lead complex technical projects end-to-end
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Computer Science or a related technical field
• 2+ years of industry research experience in LLM/NLP or related AI/ML models
• Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
• Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs
• Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI
Preferred Qualifications
• Experience working on frontier-quality/state-of-the-art Large Language Models
• Multiple first-author publications in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
• Hands-on experience with modeling frameworks like PyTorch
• Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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