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

$26/hr

This is a part-time internship position for our Fall Rotation, from September 8, 2025 through December 12, 2025 in Columbus, OH. WHAT AWAITS YOU. * Attend daily/weekly standups. * Work on AI/Data ...

Data Scientist

Dayton, OH · On-site +1

$77K - $176K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Data Scientist

Dayton, OH · On-site +1

$99K - $225K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Experience building secure data foundations on enterprise cloud platforms such as AWS, governed ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI/ML Engineer

Dayton, OH · On-site +1

$99K - $225K/yr

Experience with data science, ML engineering, software engineering, data research, or data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

... AI), data science, data analytics, or machine learning. This is your chance to apply and develop ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

... AI), data science, data analytics, or machine learning. This is your chance to apply and develop ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

... AI), data science, data analytics, or machine learning. This is your chance to apply and develop ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Forklift Driver - Part Time - Weekends

Northwood, OH · On-site

$16.25 - $19/hr

... labeling racks and removing/replacing poles. * Assist team members with cell set up during mold ... Importantly, no applicant data is shared externally through these AI tools. All information remains ...

... labeling racks and removing/replacing poles. * Assist team members with cell set up during mold ... Importantly, no applicant data is shared externally through these AI tools. All information remains ...

Processing specimens including: labeling, centrifuging, aliquoting, freezing and preparing for ... Keyboard/data entry experience. The position requires the ability to effectively communicate in ...

Processing specimens including: labeling, centrifuging, aliquoting, freezing and preparing for ... Keyboard/data entry experience. The position requires the ability to effectively communicate in ...

Processing specimens including: labeling, centrifuging, aliquoting, freezing and preparing for ... Keyboard/data entry experience. The position requires the ability to effectively communicate in ...

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Part Time Ai Data Labeling information

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 are the key skills and qualifications needed to thrive as a part time AI data labeling specialist?

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 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 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 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 August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Intern, IT Data & AI Engineering - Fall 2025

Hybrid


BMW Group
10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 191 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

People enjoy working here

Good employer

Recommended by students


$26/hr

Part-time, Internship

Medical, PTO

Re-posted 5 days ago


Job description

BMW Financial Services NA, LLC was established in 1993, supporting the sales and marketing of BMW products. Subsequently, we have expanded beyond the leasing, retail and commercial financing of a traditional captive-finance company offering a broad variety of products tailored for the BMW, MINI and Rolls-Royce customer. Be a part of our exciting growth by expressing an interest in our IT Data & AI Science internship position located in Columbus, OH.

This is a part-time internship position for our Fall Rotation, from September 8, 2025 through December 12, 2025 in Columbus, OH.

WHAT AWAITS YOU.

  • Attend daily/weekly standups.
  • Work on AI/Data Science and/or Innovation use case.
  • Showcase progress and successes to business and stakeholders in the areas of AI and Generative AI.
  • Support with software development activities.
  • Facilitate organization aspects of data and analytics symposium (Internal analytical community event)
  • Optimize joint development efforts through appropriate database use and project design.
  • Assisting data scientists within the department with process and tools to build and monitor AI models.

WHAT YOU SHOULD BRING.

  • Currently enrolled in a bachelor or master’s degree program at an accredited college or university 
  • Possess a minimum cumulative GPA of 3.0 (not just in major)
  • Have completed at least 60 college credit hours at time of application 
  • Field of study: Information Technology, Data Science, Computer Science or other related fields
  • Must attach a copy of college unofficial transcript
  • Ability to work part-time (20-29 hours/week)
  • Prior BMW Group experience (applicable to international J1 students only)
  • Excellent time-management skills; ability to prioritize and handle multiple tasks simultaneously
  • Ability to manage sensitive and confidential information
  • Excellent organizational and planning skills
  • Self-motivated, adaptable to a dynamic environment
  • Able to work both independently and as part of a team
  • Strong analytical skills
  • Outstanding written and verbal communication skills

Preferences:

  • Knowledge of AWS/AZURE cloud, Full Stack Development
  • Knowledge of Python programming, UNIX, Web Frameworks (HTML, CSS, React.JS, Django, etc.) , UI/UX,
  • Experience in a business environment
  • Languages: English (fluent, oral, and written)

Join the BMW North America team and enjoy a high-performance Total Rewards package that may include:

  • Medical Insurance
  • Paid Time Off in addition to Company paid holidays where eligible
  • Hybrid work environment
  • Intern Vehicle Lease Program

The hourly rate for Undergraduate students is $26.00

The hourly rate for Graduate students is $32.00

The selected student's academic level will be used to determine the final pay rate. This statement is in accordance with state and local pay disclosure requirements. 

Even more so than the generous compensation and benefits, the culture and values of Shared Services make it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.



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