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Hourly Remote Data Annotation Jobs in Ohio (NOW HIRING)

RR Donnelley

eBilling Analyst - Remote

Columbus, OH · On-site +1

$18.99 - $26.59/hr

The company's proprietary technology, advanced data analytics, and expertise fuel organizational ... the hourly rate of pay, the total compensation package may also include overtime, shift ...

Imh

$37.87 - $59.63/hr

The position is responsible for resolving errors, researching data discrepancies, and performing ... Actual hourly rate dependent upon experience. $37.87 - $59.63 We care about your well-being - mind ...

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Hourly Remote Data Annotation information

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.
What are the most commonly searched types of Remote Data Annotation jobs in Ohio? The most popular types of Remote Data Annotation jobs in Ohio are:
What are popular job titles related to Hourly Remote Data Annotation jobs in Ohio? For Hourly Remote Data Annotation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Annotation jobs in Ohio look for? The top searched job categories for Hourly Remote Data Annotation jobs in Ohio are:
What cities in Ohio are hiring for Hourly Remote Data Annotation jobs? Cities in Ohio with the most Hourly Remote Data Annotation job openings:
Hourly Remote Data Annotation jobs near you
Infographic showing various Hourly Remote Data Annotation job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Master Data Intern (Intern Program)

Kop-Coat, Inc.

Cleveland, OH • On-site, Remote

$17 - $21.50/hr

Full-time

Re-posted 24 days ago

Job description

Tremco CPG Inc., a world leader in solving complex roofing and waterproofing problems for commercial, institutional, healthcare and corporate accounts since 1928, currently has an opportunity for a Master Data Intern to join our team as part of Tremco's summer internship program.

This intern will provide extra support for the Master Data Management Team in North America. They will also participate in Summer Internship Program activities along with peers in the program.

Job Duties:

  • Review requests for creation and changes of materials for the Americas.   
  • Support the business with clerical updates while ensuring data governance policies are followed.   
  • Provide reports and analysis of existing master data and identify and work with the business to correct nonconformities.

Requirements:

  • College Senior (preferred) in degree program

  • Computer Science, Information Technology, Business Administration, or related field
  • Proficient with Microsoft tools, specifically Word and Excel
  • Strong organizational, verbal/written communication and presentation skills
  • Ability to work and maintain focus in a remote work environment

The hourly rate for applicants in this position generally ranges between $17.00 and $21.50. This range is an estimate, based on potential employee qualifications, operations, needs, and other considerations permitted by law.

Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.

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