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Freelance Scientific Data Curator Jobs (NOW HIRING)

Imagineeer LLC

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 ...

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

... scientific data. Key Responsibilities 1. Develop AI-enabled systems for large-scale data ... Developing agentic AI workflows to support data curation, quality control, documentation, and ...

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How much do freelance scientific data curator jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for freelance scientific data curator in the United States is $62.54, according to ZipRecruiter salary data. Most workers in this role earn between $60.34 and $68.27 per hour, depending on experience, location, and employer.

What is a freelance scientific data curator?

A Freelance Scientific Data Curator is a professional who organizes, annotates, and manages scientific data for research projects, publications, or institutions on a contract or project basis. They ensure data quality, accuracy, and accessibility by applying metadata standards and best practices in data management. Their work helps researchers efficiently share, retrieve, and analyze scientific datasets, often supporting compliance with data-sharing policies. Freelance data curators may work remotely with multiple clients across fields like biology, chemistry, or environmental science.

What skills and qualifications are needed to thrive as a freelance scientific data curator?

To thrive as a Freelance Scientific Data Curator, you need a solid background in biology, chemistry, or a related scientific field, along with experience in data management and curation. Familiarity with data repository platforms (such as Dryad or Figshare), metadata standards, and tools like Excel or scripting languages (Python/R) is typically required. Detail orientation, strong organizational skills, and effective communication are crucial soft skills for ensuring data quality and collaborating with researchers. These competencies ensure accurate, accessible, and reliable scientific datasets, which are essential for advancing research and reproducibility.

What are common challenges faced by freelance scientific data curators, and how can they be managed?

Freelance scientific data curators often encounter challenges such as working with inconsistent or incomplete datasets, adapting to varying data standards across projects, and collaborating remotely with researchers or data providers. Managing these challenges involves developing strong data cleaning and validation skills, staying updated with relevant metadata standards, and establishing clear communication channels with clients. Building a network of fellow data professionals and joining relevant online communities can also provide valuable support and resources for troubleshooting complex data issues.

What is the difference between Freelance Scientific Data Curator vs Freelance Data Analyst?

AspectFreelance Scientific Data CuratorFreelance Data Analyst
CredentialsBackground in science, data management, or related fieldsBackground in statistics, data analysis, or related fields
Work EnvironmentResearch institutions, scientific publishers, or independent projectsBusiness, marketing, finance, or tech sectors
Industry UsageUsed in scientific research, academia, and publishingUsed across various industries for decision-making and reporting
Search & Comparison IntentUnderstanding data curation in scientific contextsAnalyzing data for insights and reporting

The main difference is that Freelance Scientific Data Curators focus on organizing, annotating, and maintaining scientific datasets, ensuring data quality and accessibility for research. Freelance Data Analysts interpret and analyze data to generate insights for business decisions. While both roles handle data, their focus, skills, and industry applications differ significantly.

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Freelance Scientific Data Curator jobs near you
Infographic showing various Freelance 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 $130,079 per year, or $62.5 per hour.

Senior Data Engineer / Data Curator

Taiwan Semiconductor Manufacturing Company Limited

Phoenix, AZ • On-site

$130K - $177K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Key responsibilities

  • Design and implement data pipelines for processing, cleaning, and curating large datasets used in model training and fine-tuning.

  • Automate data cleaning processes and ensure datasets are appropriately labeled and structured.

  • Collaborate with model teams to ensure data aligns with model requirements and performance goals.

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.
#LI-Onsite
TSMC Core Values
At TSMC, we invite talented individuals who share our vision and values to contribute to our continued success. Our core values are the foundation of our culture, guiding every decision and action. We seek applicants who deeply resonate with these principles and embody them in their work:
  • Integrity: Tell the truth. We do not brag. We do not make commitments lightly. Once we make a commitment, we devote ourselves completely to meeting that commitment.
  • Commitment: Employees are dedicated to the company, view the company's success as their own and work diligently to make their best contributions. As commitment is mutual, the Company strives to serve the best interests of its employees.
  • Innovation: Innovation is the wellspring of the Company's growth. It means more than new ideas; it means putting ideas into practice.
  • Customer Trust: We strive to build deep and enduring relationships with our customers, who trust and rely on us to be part of their success over the long term.

(For more details on TSMC's Core Values, please visit:https://www.tsmc.com/english/aboutTSMC/values)

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