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Weekend Scientific Data Curator Jobs (NOW HIRING)

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Bachelor's degree in Computer Science, Data Science, or a related field. Technical Skills: * 5+ years of experience in data engineering, data wrangling, or data curation, particularly in machine ...

Bachelor's degree in Computer Science, Data Science, or a related field. Technical Skills: * 5+ years of experience in data engineering, data wrangling, or data curation, particularly in machine ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Maintain and enhance NIH databases and tools through data curation, integration, and ... Present complex analytical results clearly to scientific and non-technical audiences * Support data ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Maintain and enhance NIH databases and tools through data curation, integration, and ... Present complex analytical results clearly to scientific and non-technical audiences * Support data ...

Staff Data Scientist

San Francisco, CA · Hybrid

$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 ...

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Weekend Scientific Data Curator information

See salary details

$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:
What states have the most Weekend Scientific Data Curator jobs? States with the most job openings for Weekend Scientific Data Curator jobs include:
Infographic showing various Weekend Scientific Data Curator job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.

$130K - $177K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Company
TSMC Arizona Corporation
Location
USA-Arizona
Posted
Apr 03, 2026
Senior Data Engineer / Data Curator
A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it's leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America's leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.
As a Senior Data Engineer in the AI Data Curation track, you will ensure that the data powering our AI models is high-quality, well-organized, and fit for use in model training and deployment. You will play a key role in designing and maintaining scalable data pipelines, ensuring that data is clean, relevant, and aligned with ethical and compliance standards.
Responsibilities:
  • Design and implement data pipelines for processing, cleaning, and curating large datasets used in model training and fine-tuning.
  • Automate data cleaning processes (e.g., removing noise, duplicates, irrelevant content) and ensure datasets are appropriately labeled and structured.
  • Collaborate with model teams to ensure data aligns with model requirements and performance goals.
  • Assess and mitigate bias in datasets, ensuring that models are trained on diverse and representative data.
  • Manage data storage and retrieval strategies, ensuring scalability and data consistency across different environments.
  • Conduct regular audits to ensure data integrity, privacy, and security compliance.

Minimum Qualifications/Requirements:
Education: Minimum degree required: Bachelor's degree in Computer Science, Data Science, or a related field.
Technical Skills:
  • 5+ years of experience in data engineering, data wrangling, or data curation, particularly in machine learning or AI-driven environments.
  • Strong proficiency in Python (Pandas, NumPy) and SQL for data manipulation and querying.
  • Familiarity with cloud-based data storage (AWS S3, Google Cloud Storage, etc.) and distributed systems for managing large datasets.
  • Experience with data annotation tools and platforms for manual or semi-automated labeling.
  • Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization.
  • Experience managing data pipelines with tools like Apache Kafka, Apache Airflow, or similar ETL tools.
  • Strong knowledge of AI ethics, data privacy, and compliance standards (GDPR, CCPA, etc.).
  • Bonus: Experience with vector databases and indexing for LLMs (e.g., FAISS, Pinecone).

Interpersonal Skills:
  • Communication
  • Computer proficiency
  • Presentation skills
  • Listening
  • Teamwork

Candidates must be willing and able to work on-site at our Phoenix Arizona facility.
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best-physically, mentally, and financially-our company is at its best. We offer a comprehensive and competitive benefits program that provides the resources you need to help you manage your health and achieve your goals across many areas of your life. This includes a variety of medical, dental and vision plan offerings you can choose from that best fit your and your family's needs. Additionally, TSMC provides income-protection programs to financially assist you should you experience an injury or illness, and a 401(k)-retirement savings plan to help you secure your financial future. TSMC also offers competitive paid time-off programs and paid holidays allowing you to recharge and spend time with your family and loved ones.
Work Location: 5088 W. Innovation Circle, Phoenix, AZ 85083
TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We encourage all qualified individuals to apply, and we welcome applications from individuals with diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without a reasonable accommodation. If you need a reasonable accommodation as part of this application process, please contact P_LOA@tsmc.com.
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