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Data Annotation Research Jobs in Ohio (NOW HIRING)

HumanSignal

Delivery Lead

Columbus, OH · On-site

$90K - $130K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

HumanSignal

Delivery Lead

Columbus, OH

$90K - $130K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Apply Early

HumanSignal

Delivery Lead

Columbus, OH · On-site

$90K - $130K/yr

Onsite in Columbus, Ohio About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation - delivering the datasets that frontier AI research requires and ...

HumanSignal

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Forhyre

OH · On-site

Conduct extensive research to identify and curate relevant data sources for prompt development ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Apply Early

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All JobsData Annotation Research JobsData Annotation Research Jobs in Ohio

Data Annotation Research information

What qualifications do I need for data annotation?

Data annotation research roles typically require basic computer skills, attention to detail, and familiarity with annotation tools or platforms. A high school diploma or equivalent is usually sufficient, though some positions may prefer experience with data labeling, machine learning concepts, or specific software. Strong communication skills and the ability to work independently are also beneficial.

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.

Does data annotation actually pay?

Data annotation research jobs typically pay hourly or per task rates, with wages ranging from minimum wage to higher rates depending on experience and complexity of the work. Many positions are freelance or remote, requiring basic skills in data labeling tools and attention to detail. Payment is generally reliable, but rates vary by employer and project.

How hard is it to get hired by data annotation?

Getting hired for a data annotation research role typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible for those with the right skills and reliability.

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.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation jobs require attention to detail and often use tools like labeling platforms or software, making them a legitimate employment opportunity in the tech industry.

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 popular job titles related to Data Annotation Research jobs in Ohio? For Data Annotation Research jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Annotation Research jobs in Ohio look for? The top searched job categories for Data Annotation Research jobs in Ohio are:
What cities in Ohio are hiring for Data Annotation Research jobs? Cities in Ohio with the most Data Annotation Research job openings:
Data Annotation Research jobs near you
Infographic showing various Data Annotation Research job openings in Ohio as of June 2026, with employment types broken down into 3% As Needed, 13% Full Time, 65% Part Time, 2% Temporary, 15% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Research Assistant 1

Research Assistant 1

Case Western Reserve University

Cleveland, OH • On-site

$17.65/hr

Full-time

Medical, Retirement, PTO

Posted 20 days ago

Case Western Reserve University rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

36th of 544 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.
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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