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Data Curation Jobs (NOW HIRING)

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

You will own data curation, indexing quality and pipeline reliability, ensuring that engineering knowledge -- requirements, design history, test data, quality records and more -- is current, trusted ...

Rothe Development, Inc.

Data Curator (Remote)

The incumbent will support the team with data submissions, high quality dataset curation to enable trustworthy public access and computational reuse, and the development and implementation of ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$107K - $145K/yr

You will own data curation, indexing quality and pipeline reliability, ensuring that engineering knowledge - requirements, design history, test data, quality records and more - is current, trusted ...

Alphatec Spine

Clinical Data Specialist II

Carlsbad, NM · On-site

Perform detailed data cleaning and curation activities including transformation, formatting, and resolving data inconsistencies or discrepancies. * Manage data queries and discrepancies, working with ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

You will own data curation, indexing quality and pipeline reliability, ensuring that engineering knowledge - requirements, design history, test data, quality records and more - is current, trusted ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

You will own data curation, indexing quality and pipeline reliability, ensuring that engineering knowledge - requirements, design history, test data, quality records and more - is current, trusted ...

Oraapps Inc

Snowflake Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... Data Curation & Modeling -- Demonstrated experience building multi-layer lake architectures (raw → curated → consumption zones) with data quality checks, deduplication, and schema evolution ...

NT Concepts

Data Scientist

Herndon, VA · On-site

$106K - $180K/yr

Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development * Experience building and maintaining ETL or data processing pipelines

The Pennsylvania State University

$100K - $132K/yr

Serve as the technical lead for the IV&V and Data Curation Center of Excellence, setting priorities, defining standards, and driving the team's technical direction * Mentor, guide, and coordinate a ...

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How much do data curation jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data curation in the United States is $44.82, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $58.89 per hour, depending on experience, location, and employer.

What is a data curation?

A Data Curation job involves collecting, organizing, maintaining, and ensuring the quality of data for accuracy and accessibility. Data curators clean and structure datasets, manage metadata, and ensure compliance with data governance standards. They work closely with data scientists, analysts, and engineers to support data-driven decision-making. This role is essential in industries like research, healthcare, finance, and technology, where high-quality data is crucial for insights and innovation.

What are the key skills and qualifications needed to thrive in data curation, and why are they important?

To excel in Data Curation, you need a strong background in data management, information science, and database technologies, often supported by a degree in a related field. Familiarity with data wrangling tools, metadata standards, programming languages (such as Python or R), and data management systems is highly valuable. Attention to detail, analytical thinking, and collaborative communication are standout soft skills in this position. These abilities ensure data integrity, usability, and accessibility, which are essential for supporting robust decision-making and research outcomes.

What are some typical challenges faced by professionals in data curation roles?

Professionals in Data Curation often manage large, complex datasets from diverse sources, which can present challenges in ensuring consistency, accuracy, and proper documentation. They may encounter incomplete or poorly formatted data that requires significant cleaning and standardization. Collaborating with researchers, data engineers, and subject matter experts is common to clarify requirements and maintain data integrity. Staying current with evolving data standards and technologies is also key to success, making adaptability important in daily work.

How do you become a data curator?

To become a data curator, you typically need a bachelor's degree in a related field such as information science, computer science, or data management. Gaining experience with data organization, metadata standards, and tools like database management systems or data cleaning software is important, along with developing strong analytical and attention-to-detail skills.

Is a data curator a good job?

A data curator manages and organizes data sets to ensure quality, consistency, and accessibility, often using tools like databases and data management software. It is a growing field with opportunities in industries such as healthcare, finance, and technology, and typically requires strong attention to detail and knowledge of data standards. The role can offer stable employment and the chance to develop specialized skills in data management.

What does a data curator do?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within a database or repository. They select relevant data, apply standards for consistency, and often use tools like data management software to prepare data for analysis or sharing.
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DATA Curation jobs near you
Infographic showing various Data Curation job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 5% Part Time, and 16% Contract. Highlights an 74% In-person, 3% Hybrid, and 23% Remote job distribution, with an average salary of $93,230 per year, or $44.8 per hour.

Solutions Engineer (AI/ML, Pre-Sales)

DatologyAI

Redwood City, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

About the Company
Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.
At DatologyAI, we've built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling (BeyondWeb) and pretraining with domain-specific data (The Finetuner's Fallacy).
We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.
This role is based in Redwood City, CA. We are in office 4 days a week.
About the Role
We are looking for a highly technical Solutions Engineer with deep ML and AI platform experience to support customers in a pre-sales role. In this role, you will partner closely with our most strategic prospects to deeply understand their data curation needs, technical constraints, and business goals, and to design scalable solutions that demonstrate the impact of DatologyAI's platform.
This role requires strong hands-on understanding of modern LLM/VLM training and evaluation. You will work directly with customer ML teams to design PoCs that connect data curation decisions to measurable outcomes in model quality, training efficiency, and downstream performance-across the full lifecycle of training (pre-training, mid-training, and post-training), and with rigorous evaluation plans and reporting.
What You'll Work On
  • Embed deeply with strategic customers to understand their data curation needs, business challenges, and technical requirements in detail.
    • Lead end-to-end customer PoCs that connect data curation, training behavior, evaluation outcomes, including dataset analysis, training plan design, and results interpretation.
  • Partner with customer ML teams to map data & curation strategy
  • Design and execute evaluation plans for base and post-trained models, selecting appropriate benchmarks/metrics, and running model evaluations
  • Produce customer-ready evaluation reports: methodology, metrics, baselines, ablations (e.g., curated vs raw), conclusions, and recommended next steps for productionization.
  • Communicate technical results to both ML experts and exec stakeholders, including tradeoffs in compute, latency, and deployment cost.
  • Collaborate closely with GTM, Engineering, and Research teams to ensure seamless customer experiences, deliver compelling demos, align on requirements, and bring customer insights into actionable model training and product strategies.
  • Provide technical guidance, training, and clear documentation to ensure prospects can confidently assess the solution.
About You
  • 4+ years of experience in software, ML platform, solutions, or customer engineering roles, with significant experience driving technical pre-sales engagements and PoCs.
  • Strong practical expertise in ML model training, including how models are trained and improved across pre-training, domain-specific mid-training, and post-training, such as supervised fine-tuning and reinforcement learning.
  • Demonstrated ability to design, run, and interpret model evaluations for base and post-trained models: choosing metrics/benchmarks, building or using evaluation harnesses, analyzing results, and presenting findings clearly with customers.
  • Examples of the kinds of practical deep learning questions you might have to answer for customers:
    • What's the difference between MMLU, MMMU, and MMMLU?
    • Is SWE-Bench a useful eval for base models?
    • What's a standard context window for pretraining, and what are the costs and benefits of changing it?
    • What's the difference between CPT and midtraining?
    • Can we just compare your data to Qwen3?
    • Will your data work with our model architecture?
  • Strong programming skills in Python (or equivalent); able to prototype quickly and iterate with customers.
  • Experience with data processing / distributed systems (e.g., Spark, Ray, data lakes/warehouses) and comfort working with large-scale datasets.
  • Familiarity with modern ML infrastructure: PyTorch/Hugging Face ecosystems, distributed training concepts, and deployment environments across cloud/on-prem/hybrid.
  • Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Strong communication skills, with the ability to translate complex ML and systems topics for diverse audiences.
  • Required to travel to customer sites as needed to support pre-sales engagements.
Compensation
At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $230,000 to $300,000 OTE.
  • Starting pay is based on job-related skills, experience, qualifications, and interview performance.

Benefits:
  • 100% covered health benefits (medical, vision, and dental).
  • 401(k) plan with a generous 4% company match.
  • Unlimited PTO policy
  • Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.
  • Annual $2,000 wellness stipend.
  • Annual $1,000 learning and development stipend.
  • Daily lunches and snacks are provided in our office!
  • Relocation assistance for employees moving to the Bay Area.

Apply