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Entry Level Data Annotation Tech Jobs in Louisville, KY

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

2027 Intern - Technology

Louisville, KY · On-site

$14.50 - $19.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Consultants will start by learning a range of skills around data including e-discovery, digital ...

New

Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus ...

This is an entry level position for those wishing to enter the automotive industry. Use the ... BDC agents communicate directly with our customers and coordinate data and information sharing ...

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Entry Level Data Annotation Tech information

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$11

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$25

How much do entry level data annotation tech jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level data annotation tech in Louisville, KY is $18.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $20.58 per hour, depending on experience, location, and employer.

What is an entry level data annotation tech?

An Entry Level Data Annotation Tech is responsible for labeling and categorizing data, such as images, text, or audio, to help train machine learning models. This role typically involves using specialized software to accurately tag and classify data according to specific guidelines. It is a foundational position within the field of artificial intelligence and data science, requiring attention to detail and consistency. No advanced technical skills are usually required, making it a suitable entry point for those interested in AI or data-related careers.

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

To thrive as an Entry Level Data Annotation Tech, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation software, data labeling platforms, and basic spreadsheet tools is typically required. Patience, consistency, and effective communication help ensure accuracy and efficient teamwork. These skills and qualities are essential for delivering high-quality labeled data that supports machine learning and AI development.

What are some common challenges faced by entry level data annotation techs, and how can they be managed?

Entry Level Data Annotation Techs often encounter challenges like maintaining focus during repetitive tasks, ensuring accuracy under tight deadlines, and adapting to evolving annotation guidelines. To manage these, it's helpful to take regular breaks, double-check your work, and actively seek feedback from supervisors. Collaborating with teammates and participating in training sessions can also improve both speed and consistency, making the work more manageable and rewarding.

What is the difference between Entry Level Data Annotation Tech vs Entry Level Data Labeler?

AspectEntry Level Data Annotation TechEntry Level Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, tech-focused
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, autonomous vehicles

Both roles involve labeling data for AI training, requiring similar skills and environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes the technical aspect of annotation, while 'Data Labeler' is a more general term. Both are entry-level positions vital for AI development in tech industries.

Can I work for an entry level data annotation tech with no experience?

Entry level data annotation technician roles typically do not require prior experience, as they focus on labeling data such as images, text, or audio. Basic computer skills, attention to detail, and the ability to follow instructions are usually sufficient to start, and training is often provided on the job.

How do I get a job in data annotation?

To get a job as a data annotation technician, you should have basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Many entry-level roles do not require formal certifications, but some employers prefer candidates with knowledge of data labeling, image or text annotation, and understanding of data privacy. Applying through online job boards and demonstrating accuracy and reliability can improve your chances of securing a position.

How hard is it to get into an entry level data annotation tech?

Entry level data annotation tech roles typically require basic computer skills, attention to detail, and familiarity with data labeling tools. Most positions do not require advanced education or certifications, making them accessible to beginners, though some companies may prefer prior experience with specific software or data types.

How much does entry level data annotation tech pay?

Entry-level data annotation technicians typically earn between $12 and $20 per hour, depending on the employer and location. The role often requires basic computer skills and attention to detail, with pay rates varying based on experience and the complexity of annotation tasks.

What are the most commonly searched types of Data Annotation Tech jobs in Louisville, KY?

The most popular types of Data Annotation Tech jobs in Louisville, KY are:

What job categories do people searching Entry Level Data Annotation Tech jobs in Louisville, KY look for?

The top searched job categories for Entry Level Data Annotation Tech jobs in Louisville, KY are:

Infographic showing various Entry Level Data Annotation Tech job openings in Louisville, KY as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $38,645 per year, or $18.6 per hour.

AI/ML Data Contributor

Louisville, KY

Part-time

Re-posted 28 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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