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Weekend 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 ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and ... Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and ...

Heartflow

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to ... Advanced Data Curation & Management: Develop comprehensive data curation strategies for ...

Elixir Technologies

Curator

New Orleans, LA · On-site

MA in History, Museum Science or related specialty * Minimum of four years' experience in a ... Willingness to work evenings or weekends during special events or heavy visitation periods

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 ...

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Weekend Scientific Data Curator information

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$25.5K

$72.6K

$119.5K

How much do weekend scientific data curator jobs pay per year?

As of Jun 9, 2026, the average yearly pay for weekend 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 Weekend Scientific Data Curator vs Weekend Data Analyst?

AspectWeekend Scientific Data CuratorWeekend Data Analyst
Required CredentialsBachelor's in Science, Data Management skillsBachelor's in Statistics, Data Analysis skills
Work EnvironmentResearch labs, scientific institutionsBusiness, marketing, or research firms
Industry UsageScientific research, academiaBusiness intelligence, marketing
Search & Comparison IntentUnderstanding roles in scientific data managementComparing data analysis tasks in different contexts

The Weekend Scientific Data Curator primarily focuses on organizing, maintaining, and ensuring the quality of scientific datasets in research environments. In contrast, the Weekend Data Analyst interprets data to generate insights for business or marketing purposes. While both roles involve data handling, the curator emphasizes scientific data integrity, whereas the analyst emphasizes data interpretation for decision-making.

What is a Weekend Scientific Data Curator?

A Weekend Scientific Data Curator is a professional responsible for organizing, validating, and maintaining scientific data, typically during weekend shifts to ensure continuous data management. Their duties include reviewing datasets for accuracy, annotating data, updating databases, and collaborating with researchers to ensure data integrity. This role is vital in research environments that generate or process large volumes of scientific data, such as laboratories, universities, or biotech companies. Weekend schedules help maintain uninterrupted support for ongoing scientific projects and ensure data is always current and accessible.

What are the main challenges faced by a Weekend Scientific Data Curator, and how can they be managed effectively?

One of the main challenges in the Weekend Scientific Data Curator role is ensuring data integrity and accuracy while working independently during non-standard hours. Since weekend shifts often have fewer team members available, curators must be proactive in resolving data ambiguities and prepared to make judgment calls with limited immediate support. Building strong documentation habits and maintaining clear communication with weekday teams are crucial for seamless handovers and minimizing errors. Regularly updating workflows and staying current with data standards can also help manage these challenges effectively.

What are the key skills and qualifications needed to thrive as a Weekend Scientific Data Curator, and why are they important?

To excel as a Weekend Scientific Data Curator, you need a solid background in biology or related sciences, attention to detail, and experience with data management, often supported by a relevant degree. Familiarity with databases, data curation software, and bioinformatics tools such as SQL, Excel, or specialized platforms like UniProt is typically required. Strong organizational skills, critical thinking, and effective written communication help you efficiently interpret and annotate scientific data. These abilities ensure the integrity, accessibility, and accuracy of scientific datasets, which are vital for research and collaboration.
More about Weekend Scientific Data Curator jobs
What cities are hiring for Weekend Scientific Data Curator jobs? Cities with the most Weekend Scientific Data Curator job openings:
What are the most commonly searched types of Scientific Data Curator jobs? The most popular types of Scientific Data Curator jobs are:
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Weekend Scientific Data Curator jobs near you
Infographic showing various Weekend Scientific Data Curator job openings in the United States as of June 2026, with employment types broken down into 65% Full Time, and 35% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.

Research Scientist - Data

Institute of Foundation Models

Sunnyvale, CA

Full-time

Posted 25 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
 
As a Research Scientist in the Data team, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation foundation models. You will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. 
Key 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. 
Academic Qualifications
  • Minimum: Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required. 
  • Preferred: PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on LLMs and data is preferred. 
Professional Experience
  • 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   
  • 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/mutli-modal models from scratch. 
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability