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Flexible Remote Data Labelling Jobs in Ohio (NOW HIRING)

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/yr

... standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We ... San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... remote: must be willing to travel * This position will require the ability to work flexible days ...

Description Position Summary: The Data Engineer II will play a vital role in our Data ... remote: must be willing to travel * This position will require the ability to work flexible days ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... remote: must be willing to travel * This position will require the ability to work flexible days ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Recommend and influence adoption of modern, flexible, and scalable technologies that support a ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Recommend and influence adoption of modern, flexible, and scalable technologies that support a ...

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Showing results 1-20

Flexible Remote Data Labelling information

What is the difference between Flexible Remote Data Labelling vs Data Annotation Specialist?

AspectFlexible Remote Data LabellingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; often no formal certification needed
Work EnvironmentRemote, flexible hoursRemote, may have more structured schedules
Industry UsageCommon in AI/ML data preparationUsed in AI/ML, computer vision, NLP projects
Job FocusLabeling data for machine learning modelsAnnotating data to improve model accuracy

Flexible Remote Data Labelling and Data Annotation Specialist roles both involve preparing data for AI and machine learning. The main difference lies in terminology and slight variations in job scope, but both are remote, entry-level positions focused on data labeling and annotation tasks.

What are the most commonly searched types of Remote Data Labelling jobs in Ohio?

The most popular types of Remote Data Labelling jobs in Ohio are:

What are popular job titles related to Flexible Remote Data Labelling jobs in Ohio?

For Flexible Remote Data Labelling jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Flexible Remote Data Labelling jobs?

Cities in Ohio with the most Flexible Remote Data Labelling job openings:

Infographic showing various Flexible Remote Data Labelling job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI Training Specialist (Data Annotation)

Columbus, OH • Remote

$20/hr

Contractor

Posted 23 days ago


Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology