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Data Annotation Research Jobs in Dearborn, MI (NOW HIRING)

Manager, Engineering - Offline Perception

Ann Arbor, MI · On-site

$180 - $230/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data delivery, human annotation, and autonomy stakeholders on priorities, quality, and delivery ... Hands-on experience with auto-labeling for self-driving development -- not just model research, but ...

Posted today

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and translate relevant research into production data systems. What You'll Need to Succeed ... for annotation and verification. * High-throughput model serving - vLLM, SGLang, or similar for ...

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and translate relevant research into production data systems. What You'll Need to Succeed ... for annotation and verification. * High-throughput model serving - vLLM, SGLang, or similar for ...

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and translate relevant research into production data systems. What You'll Need to Succeed ... for annotation and verification. * High-throughput model serving - vLLM, SGLang, or similar for ...

Product Designer

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Use Ford Teamcenter/3DX to release and store 3D data, GD amp;T 3D Annotation amp; 2D drawings ... Through advanced research and development, a highly experienced management team, and a dedicated ...

Data Annotation Research information

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What are the key skills and qualifications needed to thrive as a data annotation researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced in data annotation research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What job categories do people searching Data Annotation Research jobs in Dearborn, MI look for?

The top searched job categories for Data Annotation Research jobs in Dearborn, MI are:

What cities near Dearborn, MI are hiring for Data Annotation Research jobs?

Cities near Dearborn, MI with the most Data Annotation Research job openings:

Infographic showing various Data Annotation Research job openings in Dearborn, MI as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Research Lab Specialist Associate

University of Michigan Flint

Ann Arbor, MI • On-site

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities


Job description

Job Title

Biomedical Data Integration Specialist

Job Description

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Responsibilities

Biomedical data integration, database development, and computational research:

  • Integrate clinical, laboratory, imaging, genetic, biospecimen, and multi-omics data generated across multiple research studies into a centralized and well-organized research data environment.
  • Develop and maintain standardized approaches for data organization, annotation, quality control, and documentation.
  • Work with the Principal Investigator, bioinformatics specialists, data scientists, statisticians, and institutional core facilities to develop computational and artificial intelligence-assisted approaches for identifying novel biological patterns, disease subtypes, biomarkers, and therapeutic targets.
  • Prepare deidentified or appropriately coded datasets for statistical, bioinformatic, and machine learning analyses.
  • Assist with interpretation of research findings in the context of human physiology, metabolic disease, incretin biology, bariatric surgery, and hormonal regulation.

Biorepository management and specimen-data coordination:

  • Maintain and organize the laboratory biorepository, including accurate coding, tracking, inventory management, quality assurance, and timely retrieval of research specimens.
  • Ensure that specimens are linked accurately to the appropriate research protocol and coded research data.

Laboratory Research Activities:

  • Process human blood and other biospecimens according to approved protocols.
  • Maintain accurate laboratory records and document specimen-processing procedures
  • Prepare specimens for genomic, transcriptomic, proteomic, metabolomic, immunologic, and other downstream analyses.
  • Work with laboratory personnel and institutional core facilities to optimize specimen-processing and analytical workflows.

Translational Research and Collaborative Development:

  • Assist in identifying research questions that connect clinical observations with biospecimen, imaging, genetic, and molecular data.
  • Participate in multidisciplinary research meetings and contribute to study design, data review, interpretation, and project planning.
Required Qualifications
  • At least one year of research experience involving diabetes, obesity, endocrinology, bariatric surgery, gastrointestinal physiology, or a related area of metabolic research.
  • Strong computer skills and demonstrated ability to organize complex biomedical information.
  • Strong analytical, organizational, and scientific communication skills.
  • Ability to work effectively with clinicians, laboratory investigators, research coordinators, data scientists, trainees, and institutional core facilities.
  • Demonstrated commitment to learning new laboratory, computational, and analytical methods.
Desired Qualifications
  • Prior research experience in lipodystrophy or other rare metabolic diseases.
  • Experience working with human-subjects research data, clinical phenotyping, or biospecimens.
  • Experience with clinical and multidimensional biomedical data integration.
  • Familiarity with at least one (R, Python, SQL), REDCap, electronic research databases, or related computational tools.
  • Familiarity with artificial intelligence, machine learning, or pattern-recognition approaches in biomedical research.
Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

  • Excellent medical, dental and vision coverage effective on your very first day
  • 2:1 Match on retirement savings
Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.


What University Of Michigan employees say

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About University of Michigan

Sourced by ZipRecruiter

The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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