1

Data Curator Jobs in Utah (NOW HIRING)

Cheminformatics Specialist - Remote

Provo, UT ยท On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

Computational Biologist - AI Reviewer

Provo, UT ยท On-site +1

$90 - $120/hr

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

... curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is ...

... data curation for improving model performance. Company : Podium designs and develops an AI-powered lead generation and management platform that helps to interact and convert more leads. Founded in ...

Hands-on experience with fine-tuning and data curation for improving model performance. Why you'll love working here: * Podium is the best place to work to: * Join the leaders in AI agents * Unlock ...

Senior AI Engineer - Agentic

Lehi, UT ยท On-site +1

$98K - $134K/yr

Hands-on experience with fine-tuning and data curation for improving model performance. Why you'll love working here: * Podium is the best place to work to: * Join the leaders in AI agents * Unlock ...

next page

Showing results 1-20

Data Curator information

See Utah salary details

$23.2K

$66.1K

$108.8K

How much do data curator jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data curator in Utah is $66,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $85,600.00 per year, depending on experience, location, and employer.

What does a data curator do?

A Data Curator is responsible for collecting, organizing, and maintaining datasets to ensure they are accurate, accessible, and usable for analysis. They work with data scientists, analysts, and other stakeholders to standardize metadata, establish data governance policies, and improve data quality. Data Curators often clean and enrich datasets, manage data repositories, and ensure compliance with regulatory standards. Their role is essential in making data more discoverable and valuable for decision-making and research.

What does a typical day look like for a data curator, and who do they usually collaborate with?

A typical day for a Data Curator involves collecting, organizing, and annotating datasets, maintaining data integrity, and updating records to comply with quality standards. Data Curators frequently work alongside data analysts, researchers, and IT professionals to ensure data is properly structured and easily accessible for various projects. You may also interact with data stewards or subject matter experts to validate metadata or resolve inconsistencies. Collaboration and communication are integral to the role, as you help bridge technical teams and end users, ensuring that data systems meet the evolving needs of the organization.

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

Success as a Data Curator requires strong analytical abilities, attention to detail, and a background in information management, data science, or a related field. Familiarity with data management tools, metadata standards (such as Dublin Core), and systems like relational databases and data repositories is highly advantageous, and certifications in data governance or data management can be beneficial. Excellent organizational skills, effective communication, and a collaborative mindset are key soft skills for this role. Mastery of these skills ensures data assets are accurately cataloged, accessible, and usable for stakeholders, supporting effective decision-making and research outcomes.

How do you become a data curator?

To become a data curator, individuals typically need a background in data management, information science, or related fields, along with skills in data organization, metadata standards, and database tools. Gaining experience through internships or entry-level roles in data management and obtaining certifications such as Certified Data Management Professional (CDMP) can also enhance prospects.

Is a data curator a good job?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within organizations, often using tools like databases and data management software. The role can offer stable employment, opportunities for specialization, and requires skills in data analysis and attention to detail. Job satisfaction depends on individual interests in data management and the industry environment.
Infographic showing various Data Curator job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,117 per year, or $31.8 per hour.

Data Curation/Data Engineer (AI Quality & Evaluation)

US Tech Solutions

Lehi, UT โ€ข On-site

$107K - $129K/yr

Full-time

Re-posted 2 days ago


Job description

Job Summary:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. They are seeking a Data Curation/Data Engineer to join their AI team and ensure the highest standards of quality, safety, and performance across AI-driven product offerings. The role involves collaborating with cross-functional teams to develop and maintain high-quality datasets and AI systems.
Responsibilities:
โ€ข Architect and implement frameworks to enforce AI quality, safety, and evaluation standards.
โ€ข Design and maintain scalable data pipelines for data ingestion, curation, annotation, and validation.
โ€ข Develop comprehensive evaluation methodologies and datasets to measure model accuracy, safety, and performance.
โ€ข Test, refine, and optimize ML models for both edge devices and cloud environments.
โ€ข Partner closely with embedded, app, platform, QA, product, and UX teams to deploy AI solutions at scale.
โ€ข Monitor production AI systems, analyze performance metrics, and drive continuous improvement.
โ€ข Establish best practices for data governance, reproducibility, and model lifecycle management.
Qualifications:
Required:
โ€ข 3โ€“5 years of relevant experience in AI/ML, data engineering, model evaluation, or AI quality engineering.
โ€ข Strong analytical and problem-solving skills.
โ€ข Data structures, data curation, annotation workflows, and dataset lifecycle management.
โ€ข Model training, fine-tuning, and evaluation.
โ€ข LLM and Generative AI training/evaluation.
โ€ข Computer vision training, validation, and deployment.
โ€ข Transformers, LLMs, Vision-Language Models (VLM), and knowledge graphs.
โ€ข Classification, object detection, segmentation, tracking, recognition, Re-ID, pose estimation, and vector embeddings.
โ€ข Model compression techniques.
โ€ข Image, audio, radar, and signal processing.
โ€ข Advanced proficiency in Python.
โ€ข Shell scripting.
โ€ข C++ and/or Rust.
โ€ข Embedded Linux environments.
โ€ข Git version control.
โ€ข Experience working with secure, scalable, high-availability, low-latency, and distributed systems.
โ€ข Bachelorโ€™s, Masterโ€™s, or PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field.
Company:
US Tech Solutions counted among the largest yet the fastest growing staffing firm; all achieved organically. Founded in 2000, the company is headquartered in Toronto, CAN, with a team of 1001-5000 employees. The company is currently Late Stage.

US Tech Solutions logo

About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

Social media