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Data Annotation Jobs in Belleville, MI (NOW HIRING)

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Data Annotation information

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

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

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

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

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

Infographic showing various Data Annotation job openings in Belleville, MI as of August 2026, with employment types broken down into 69% Full Time, 5% Part Time, and 26% Contract. Highlights an 73% In-person, 5% Hybrid, and 22% Remote job distribution.

Research Lab Specialist Associate

University of Michigan Flint

Ann Arbor, MI • On-site

Other

Medical, Dental, Vision, Retirement

Posted 5 days ago


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.


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Benefits

Hours and flexibility

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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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