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Data Curator Jobs in Michigan (NOW HIRING)

Senior, Software Engineer - ML Data Delivery

Ann Arbor, MI · On-site +1

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics and ML training workflows. * Proactively assess current capabilities ...

Senior, Software Engineer - ML Data Delivery

Ann Arbor, MI · On-site +1

$119K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics and ML training workflows. * Proactively assess current capabilities ...

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will focus on developing scalable data ingestion and curation pipelines, building and managing cloud-based data platforms, improving data quality and performance, and collaborating with ...

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will focus on developing scalable data ingestion and curation pipelines, building and managing cloud-based data platforms, improving data quality and performance, and collaborating with ...

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will focus on developing scalable data ingestion and curation pipelines, building and managing cloud-based data platforms, improving data quality and performance, and collaborating with ...

Enable self-service data discovery for users by curating & organizing data assets in an intuitive way. * Performance Optimization: Monitor & optimize BI systems & data pipelines to ensure high ...

Data Architect

East Lansing, MI · On-site

$96K - $130K/yr

Design and oversee medallion-style data layers (bronze/silver/gold) for ingestion, curation, and consumption. Governance, Standards & Best Practices * Work with Data Governance to establish data ...

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 ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance. * Data Exploration:

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 ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources. * Ensure data is standardized, high-quality, and optimized for analytical ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Key ResponsibilitiesSpearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources.Ensure data is standardized, high-quality, and optimized ...

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Showing results 1-20

Data Curator information

See Michigan salary details

$22.2K

$63.3K

$104.2K

How much do data curator jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data curator in Michigan is $63,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $81,900.00 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.

What are the most commonly searched types of Data Curator jobs in Michigan?

The most popular types of Data Curator jobs in Michigan are:

What cities in Michigan are hiring for Data Curator jobs?

Cities in Michigan with the most Data Curator job openings:

Infographic showing various Data Curator job openings in Michigan as of August 2026, with employment types broken down into 9% Locum Tenens, 9% Internship, 55% Full Time, 9% Temporary, and 18% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $63,301 per year, or $30.4 per hour.

Senior, Software Engineer - ML Data Delivery

Torc Robotics

Ann Arbor, MI • On-site, Remote

$119K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

About the Company:
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
The Pseudo-Labeling team's goal is to create high-quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, etc. The annotations are then used by different downstream users - for example, perception teams use them to train various models, and simulation teams use them for generating new data. This role sits at the intersection of that pseudo-labeling data and the online perception team, building the systems that select, package, and deliver the right data to feed on-demand model training.
What You'll Do:
  • Design, implement, test and deploy tooling and pipelines for internal quality control and issue identification of pseudo-labeled data, ensuring annotations meet the bar required by downstream model training.
  • Provide statistical support and report on pseudo-label quality, coverage, and pipeline health to internal stakeholders and leadership.
  • Support secondary data selection (virtual packaging) to curate and feed on-demand data to online model training.
  • Support the build-out of the ML data delivery system that enables the online perception team to train models on-demand.
  • Drive general pipeline improvement and optimization across the pseudo-labeling and data delivery stack, identifying and resolving bottlenecks in throughput, quality, or reliability.
  • Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.
  • Stay up to date with the latest developments in offline perception, data pipeline engineering, and ML data infrastructure for autonomous driving.
  • Independently develop tools, services, and algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications.
  • Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics and ML training workflows.
  • Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation.
  • Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner.
  • Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
  • Develop guidelines and standards for data quality control, data delivery systems, and their deployment, and associated processes.
  • Provide technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.

What You'll Need to Succeed:
  • Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
  • Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 6+ years of experience OR;
  • Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 3+ years of experience OR;
  • Required Qualifications (some combination of the following skills):
    • Familiarity with the offline perception stack in general, and knowledge of how pseudo-label data is produced and related best practices.
    • Strong software engineering background building and operating data pipelines and services at scale.
    • Statistical analysis and reporting skills, with the ability to translate data quality findings into actionable insights.
    • Scaled ML Operations (MLOps) and Tooling - ML Frameworks, experiment tracking, model registry, MLflow, Weights and Biases, ML Metrics and Evaluation / Quality.
    • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc).
    • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.
    • Experience with distributed data processing and/or ML frameworks - PyTorch, Lightning, Ray, or similar.

Bonus Points!
  • Experience with large-scale data delivery systems and associated quality control.
  • Pseudo-labeling experience in general.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102833
Hiring Range for Job Opening
US Pay Range
$160,800-$193,000 USD