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Data Labeler Remote Jobs in Ohio (NOW HIRING)

micro1 AI

AI Sensor Data Specialist - Remote

Akron, OH · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maryland ...

HumanSignal

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 ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and ...

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All JobsData Labeler JobsData Labeler Remote JobsData Labeler Remote Jobs in Ohio

Data Labeler Remote information

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail and basic technical skills. While it can provide a stepping stone into tech-related fields, it may have limited advancement opportunities without additional skills or certifications.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How much do data labelers get paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses, and familiarity with labeling tools can improve earning potential.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in Ohio? The most popular types of Data Labeler jobs in Ohio are:
What are popular job titles related to Data Labeler Remote jobs in Ohio? For Data Labeler Remote jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Ohio look for? The top searched job categories for Data Labeler Remote jobs in Ohio are:
What cities in Ohio are hiring for Data Labeler Remote jobs? Cities in Ohio with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
Infographic showing various Data Labeler Remote job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

AI Sensor Data Specialist - Remote

micro1 AI

Toledo, OH • Remote

$13 - $15/hr

Part-time

Re-posted 9 days ago

Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Vermont, Virginia, West Virginia, Wisconsin, and Wyoming.


Job Summary

Get paid from home in this fully remote opportunity by recording your everyday household chores with your cellphone. Simply film your normal daily activities from a first-person point of view and earn money.


[Link to video]


Key Responsibilities:

  1. Capture household tasks using your smartphone during specified physical tasks.
  2. Record synchronized video footage.
  3. Complete a device compatibility check and an AI-enabled interview during onboarding.


Required Skills and Qualifications:

  1. Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or later.
  2. Must be comfortable wearing a phone mount equipment shipped to you.
  3. Physical capability to perform repetitive movement tasks safely.
  4. Eligibility to work in the U.S.


Compensation Structure:

  1. You will be paid per hour of recorded video that you submit that is in line with project guidelines.


Start Timeline & Availability:

  1. Roles are being filled with immediate availability, with your starting time dependent on the shipping time of headstrap equipment to your home.


Equipment Requirements:

  1. Mobile: You'll need a smartphone to complete this project. You'll use it to record yourself while performing the required tasks.


  1. Head Strap / Wearable: You'll also need a head strap to record first-person videos while doing your chores. We will pay you $20 as a signing bonus and reimbursement for your after you complete 20 hours of work with us!

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