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Data Annotation Manager Jobs in Akron, OH (NOW HIRING)

Mechanical Associate II

Akron, OH · On-site

$80K - $100K/yr

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Data Annotation Manager information

See Akron, OH salary details

$29.7K

$92.9K

$164.6K

How much do data annotation manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data annotation manager in Akron, OH is $92,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $120,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a data annotation manager?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

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

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Akron, OH? The most popular types of Data Annotation jobs in Akron, OH are:
What are popular job titles related to Data Annotation Manager jobs in Akron, OH? For Data Annotation Manager jobs in Akron, OH, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Akron, OH look for? The top searched job categories for Data Annotation Manager jobs in Akron, OH are:
What cities near Akron, OH are hiring for Data Annotation Manager jobs? Cities near Akron, OH with the most Data Annotation Manager job openings:
Infographic showing various Data Annotation Manager job openings in Akron, OH as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $92,938 per year, or $44.7 per hour.

Research Assistant 1 (part-time 25 hours/week for 1 year term)

Case Western Reserve University

Cleveland, OH • On-site

$17.65/hr

Part-time

Medical, Dental, Life, Retirement, PTO

Re-posted 22 days ago


Case Western Reserve University rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

34th of 615 rated colleges and universities


Job description

Case Western Reserve University is committed to providing a transparent estimate of the salary for this position at the time of its posting. The starting wage rate is $17.65 per hour, depending on qualifications, experience, department budgets, and industry data.
Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess.
Job Description
POSITION OBJECTIVE
Working under moderate supervision and performing research work in medical and related technical areas involves use of lab / research skills the Research Assistant 1 supports the mission of the School of Dental Medicine by facilitating the digitization and analysis of the historically significant Richardson and Bolton craniofacial growth collections. The primary objective of this position is to assist with high-quality 2D and 3D scanning and data management of physical specimens, while also contributing to the development and validation of automated scanning workflows and landmark identification software. This role directly supports research in craniofacial growth and development, and orthodontics by improving access, reproducibility, and analytic capacity of unique longitudinal datasets
ESSENTIAL FUNCTIONS
  1. Facilitate scanning and digitization of Richardson and Bolton collections. Prepare specimens and records for scanning; operate surface and/or volumetric scanning equipment; ensure consistency, accuracy, and documentation of digitized outputs in accordance with established protocols. (35%)
  2. Support development of automated scanning workflows by a ssisting faculty and research staff in testing, refining, and documenting automated or semi-automated scanning procedures, including calibration, quality control, and troubleshooting of imaging hardware and associated software. (20%)
  3. Assist with landmark identification and computational annotation. Support development and validation of manual and automated landmark identification methods by applying landmarks, reviewing outputs, and assisting with training and testing datasets. (15%)
  4. Data organization and research documentation. Maintain organized digital records of scans, metadata, and annotations; assist with data entry, version control, and preparation of datasets for analysis and sharing. (15%)
  5. Maintain imaging equipment and workspaces; assist with ordering and inventory of supplies related to scanning, imaging, and data storage; follow safety and data integrity protocols. (10%)

NONESSENTIAL FUNCTIONS
Perform other research-related duties assigned in support of ongoing craniofacial growth studies, publications, and educational initiatives. (5%)
CONTACTS
Department: Daily contact with supervising faculty and research team members to coordinate scanning activities, review data quality, and maintain research workflow.
University: Occasional contact with information technology, library, or research support staff to share information related to data storage, software, or compliance.
External: Limited contact with equipment vendors or collaborators for technical support or information exchange.
Students: Weekly contact with student researchers or trainees to provide guidance on scanning procedures and data handling.
SUPERVISORY RESPONSIBILITIES
This position has no direct supervision of staff employees.
QUALIFICATIONS
Bachelor's degree in a related field and 0 to 1 year of relevant research experience required; or Associate's degree in an approved biotechnology or imaging-related program with 0 to 2 years of experience.
REQUIRED SKILLS
  1. Knowledge of commonly used concepts, practices, and procedures in biomedical or dental research.
  2. Ability to follow established protocols and contribute to method development under supervision
  3. Experience with or aptitude for operating imaging, scanning, or laboratory equipment
  4. Basic familiarity with digital data management, image analysis, or computational tools preferred.
  5. Ability to work collaboratively in interdisciplinary research environments.
  6. Willingness to learn and work with artificial intelligence (AI) tools and technologies.
  7. Ability to demonstrate successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest.
  8. Ability to meet consistent attendance.
  9. Ability to interact with colleagues, supervisors, and customers face to face.

WORKING CONDITIONS
Work is primarily conducted in an indoor research environment. The position may involve handling fragile historical specimens, prolonged computer use, and operation of imaging equipment. There may be occasional exposure to laboratory or equipment-related hazards. Some flexibility in scheduling may be required to accommodate scanning workflows or research deadlines.
Term Position
This is a Term position. They are treated like regular staff positions for medical and dental benefits eligibility, vacation, holidays, and sick time. Term employees are not eligible for life insurance, retirement, long term disability, short term disability, tuition assistance, layoff status, or severance pay. Staff in term positions are also subject to the performance management review process and positive corrective action when work performance or behavior is unsatisfactory or unacceptable. Term employment does not alter the employment-at-will employee status of these employees.
EEO Statement
Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age and genetic information.
Reasonable Accommodations
Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the CWRU Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicants will be made on a case-by-case basis.
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