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Entry Level Ai Data Annotation Jobs in Ohio (NOW HIRING)

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... This entry-level role combines metadata expertise with developing technical skills in scripting ...

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... AI, data and automation. Become Your Best | www.sogeti.us Disclaimer Capgemini is an Equal ...

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Your work will also integrate advanced techniques from Generative and Agentic AI to create more ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

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Entry Level Ai Data Annotation information

What is an entry level AI data annotation?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

What are the key skills and qualifications needed to thrive as an entry level AI data annotation specialist?

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced by entry level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

What are the most commonly searched types of Ai Data Annotation jobs in Ohio?

The most popular types of Ai Data Annotation jobs in Ohio are:

What are popular job titles related to Entry Level Ai Data Annotation jobs in Ohio?

For Entry Level Ai Data Annotation jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Annotation jobs in Ohio look for?

The top searched job categories for Entry Level Ai Data Annotation jobs in Ohio are:

What cities in Ohio are hiring for Entry Level Ai Data Annotation jobs?

Cities in Ohio with the most Entry Level Ai Data Annotation job openings:

Infographic showing various Entry Level Ai Data Annotation job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Flexible remote AI work. Your schedule. Paid weekl

Meridian.ai

Sharonville, OH • On-site

Other

This job post has expired 4 days ago. Applications are no longer accepted.


Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.