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Ai Labeling Jobs in Ohio (NOW HIRING)

RELX

AI Data Analyst

Dayton, OH

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning (in coordination with engineering teams). * Promote good content hygiene practices (clear structure ...

US Bank

AI Red Team Lead Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Data ingestion, labeling, and governance controls * Design and execute AI-specific threat emulation aligned to real-world adversaries, misuse scenarios, and emerging attack techniques (e.g., prompt ...

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Ai Labeling information

What does a typical day look like for an AI Labeling team member?

A typical day as an AI Labeling team member involves reviewing large volumes of data—such as images, audio, or text—and accurately tagging or categorizing each piece according to specific guidelines. You’ll often work both independently and in collaboration with a team lead or quality assurance specialist, who reviews and validates your work. Regular communication with teammates and project managers helps clarify any ambiguities and ensures consistency across the project. While the work can be repetitive, it is essential for creating training data that powers AI models, and team members often rotate between different projects for variety and skill development.

What is an AI Labeling job?

An AI labeling job involves annotating data (such as images, text, audio, or video) to help train machine learning models. This can include tasks like categorizing objects, transcribing speech, or identifying patterns. Accurate labeling is essential for AI systems to learn and improve their performance. The job typically requires attention to detail and an understanding of specific labeling guidelines. It is often performed using specialized software tools provided by AI companies.

How much do AI labelers make?

AI labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are remote and may offer flexible schedules, with some roles paying per project or data set completed.

What jobs are in demand for AI?

In AI, in-demand jobs include AI engineer, machine learning engineer, data scientist, and data analyst. These roles require skills in programming, data modeling, and familiarity with tools like Python, TensorFlow, and cloud platforms, often with relevant certifications and a strong understanding of algorithms and data structures.

What does an AI labeler do?

An AI labeler is responsible for reviewing and annotating data, such as images, videos, or text, to help train machine learning models. They use specialized tools to add accurate labels or tags, ensuring data quality for AI systems. Attention to detail and understanding of labeling guidelines are essential for this role.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes ownership of significant projects. These roles usually involve leadership, strategic planning, and expertise in AI tools, programming languages, and data analysis. Compensation at this level reflects the seniority and impact of the role within a company or organization.

What are the key skills and qualifications needed to thrive in the Ai Labeling position, and why are they important?

To thrive in an AI Labeling role, you need strong attention to detail, the ability to follow detailed instructions, and basic computer literacy, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, workflow management tools, and sometimes image or audio editing software is commonly expected. Strong communication, patience, and the ability to quickly learn new guidelines are valuable soft skills in this position. These skills are essential to ensure high-quality, accurate datasets that directly impact the performance of artificial intelligence systems.

What are the most commonly searched types of Ai Labeling jobs in Ohio? The most popular types of Ai Labeling jobs in Ohio are:
What are popular job titles related to Ai Labeling jobs in Ohio? For Ai Labeling jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Ai Labeling jobs in Ohio look for? The top searched job categories for Ai Labeling jobs in Ohio are:
Ai Labeling jobs near you
Infographic showing various Ai Labeling job openings in Ohio as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.
AI Data Collection Specialist - Video (Remote)

AI Data Collection Specialist - Video (Remote)

micro1 AI

Cincinnati, OH • Remote

$13/hr

Part-time

Posted 3 days ago

Job description

Role Title: At-Home Video Recorder


Location: Remote - based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture household tasks using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure:

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability:

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


  1. Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

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