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Part Time Ai Data Labeling Jobs in Ohio (NOW HIRING)

AI/ML Engineer, Mid

Dayton, OH ยท On-site

$77K - $176K/yr

You will contribute across the development lifecycle supporting data processing, model creation ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI/ML Engineer, Mid

Dayton, OH ยท On-site

$77K - $176K/yr

You will contribute across the development lifecycle supporting data processing, model creation ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

No prior experience in AI is required -- your domain knowledge is what matters. Key ... data. * Follow detailed technical protocols to ensure all submissions meet strict quality, labeling ...

No prior experience in AI is required -- your domain knowledge is what matters. Key ... data. * Follow detailed technical protocols to ensure all submissions meet strict quality, labeling ...

No prior experience in AI is required -- your domain knowledge is what matters. Key ... data. * Follow detailed technical protocols to ensure all submissions meet strict quality, labeling ...

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Part Time Ai Data Labeling information

What are the key skills and qualifications needed to thrive as a Part Time AI Data Labeling Specialist, and why are they important?

To thrive as a Part Time AI Data Labeling Specialist, you need attention to detail, basic computer literacy, and often a high school diploma or equivalent. Familiarity with labeling platforms, annotation tools, and sometimes experience with data management systems is typically required. Reliability, time management, and the ability to follow precise instructions are crucial soft skills for this role. These skills ensure high-quality, accurate datasets that support effective machine learning model development.

What is part-time AI data labeling?

Part-time AI data labeling involves annotating or categorizing data such as images, text, audio, or video to train and improve artificial intelligence and machine learning models. As a part-time data labeler, you work flexible hours to tag or classify data according to specific guidelines provided by a company or research team. This role is essential for creating high-quality datasets that help AI systems learn to recognize patterns, objects, or language. The work can often be done remotely and may require attention to detail and basic computer skills. Many companies hire part-time data labelers to handle large volumes of data efficiently.

What is the difference between Part Time Ai Data Labeling vs Part Time Data Annotation Specialist?

AspectPart Time Ai Data LabelingPart Time Data Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible schedule
Industry UsageAI, machine learning, tech companiesData management, research, tech sectors
Job FocusLabeling data for AI trainingAnnotating data for various applications

Part Time Ai Data Labeling and Part Time Data Annotation Specialist roles share similar credentials and work environments, often involving remote work and flexible hours. The main difference lies in the specific focus: AI Data Labeling emphasizes preparing data for machine learning models, while Data Annotation Specialists may work on broader data types for various purposes. Both roles are essential in data-driven industries and often overlap in skills and industry usage.

What are some common challenges faced by part-time AI data labelers, and how can they be effectively managed?

Part-time AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy, and adapting to evolving labeling guidelines. To manage these, it's important to take regular breaks to prevent fatigue, stay updated on any changes to annotation protocols, and communicate with supervisors or team members when clarifications are needed. Leveraging available training resources and quality assurance feedback can also help improve performance and make the work more engaging. Collaboration with other labelers through team chats or forums can provide support and insights for handling tricky cases.
What are the most commonly searched types of Ai Data Labeling jobs in Ohio? The most popular types of Ai Data Labeling jobs in Ohio are:
What are popular job titles related to Part Time Ai Data Labeling jobs in Ohio? For Part Time Ai Data Labeling jobs in Ohio, the most frequently searched job titles are:
Infographic showing various Part Time Ai Data Labeling job openings in Ohio as of July 2026, with employment types broken down into 100% Part Time. Highlights an 60% In-person, and 40% Remote job distribution.
Team Lead, AI Data Studio (Part-Time)

Team Lead, AI Data Studio (Part-Time)

HumanSignal

Columbus, OH โ€ข On-site

$20 - $25/hr

Part-time

Posted 11 days ago


Job description

About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. 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 the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
About the Role
You'll run shifts at our Columbus studio, keeping data collection sessions on schedule and on spec. You're the person on the floor making sure moderators have what they need, participants are checked in and moving through sessions, and every session hits its quality bar. This is a hands-on leadership role for someone who likes running a tight operation.
  • Location: Columbus, OH (Discovery District), 100% onsite
  • Type: Part time, hourly
  • Pay: $20 to $25 per hour
What You'll Do
  • Lead studio shifts during active data collection projects, from open to close
  • Coordinate moderators, office staff, and participants across concurrent sessions
  • Monitor session quality and completion against project specifications
  • Track attendance, session counts, and daily metrics; escalate issues to the operations team
  • Handle on-the-spot problem solving: no-shows, equipment hiccups, schedule changes
  • Help onboard new moderators and studio staff
What You Bring
  • Experience managing shifts, teams, or operations. Retail, hospitality, events, warehouse, food service, and campus leadership all count
  • Calm, organized presence when multiple things are happening at once
  • Clear communication with staff and participants
  • Reliability. Sessions run on schedule and depend on you being there
  • Availability for part-time shifts during active project periods, including some evenings and weekends
  • College students with leadership experience are welcome to apply
Why This Role
You'll get direct operational leadership experience inside one of the fastest-growing areas of AI, flexible part-time scheduling, and a front-row seat to how AI training data actually gets made.
HumanSignal is an equal opportunity employer. Final pay within the posted range is based on experience and shift responsibilities.