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Data Annotation Jobs in Kentucky (NOW HIRING)

Dyna Robotics, Inc

As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system by annotating data on various diverse tasks performed by robots. Your will directly influence the ...

Simbe Robotics, Inc.

$120K - $155K/yr

Simbe is looking for a Data Engine & Annotation Systems Engineer to own the systems, workflows, and tooling that power high quality training data for our computer vision models. This role goes beyond ...

Dyna Robotics, Inc

Our Data Annotation team turns raw teleoperation footage into the labels our imitation learning models depend on, so throughput and quality here are a direct input to how fast the company ships. Dyna ...

TSMG

AI/ML Data Contributor

Louisville, KY

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

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 ...

CloudFactory Limited

About the role We're looking for US-credentialed clinical professionals to support a specialized clinical data annotation and normalization project focused on Sepsis, using the MIMIC IV de-identified ...

Bloomberg L.P.

The Team Lead will operate annotation as a shared service across our Data AI teams. They will ensure that centrally defined standards: schemas, labels, ambiguity frameworks, and calibration rules ...

General Motors

Collaborate with ML engineers to design and integrate ML‐driven data annotation (pre‐labeling, autolabeling, active learning loops), helping us move from human‐only to machine‐led labeling at ...

Centific

Own and grow a $10M+ book of business within Meta, spanning AI/ML training data, annotation, and data services supporting Family of Apps (Facebook, Instagram) and Superintelligence Labs use cases.

Boston Dynamics

$130K - $150K/yr

Manage relationships with external vendors who support data annotation and QA at scale. * Drive consistency, improvement, and efficiency by proactively scheduling resource utilisation ahead of ...

Simbe Robotics, Inc.

$160K - $200K/yr

You will work on the full model lifecycle: data, annotation quality, training, evaluation, release, monitoring, and production debugging. Responsibilities * Build production CV models. Design, train ...

Penn State University

Develop and maintain annotation standards, labeling guidelines, and data governance processes to ensure consistency and reproducibility across projects * Conduct IV&V of datasets and model outputs to ...

AI Chopping Block

$100K - $186K/yr

Research and apply techniques for data collection, annotation, generation, and multi-modal integration. * Shape Grok's behavior and domain performance through targeted data work; improve annotation ...

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All JobsData Annotation JobsData Annotation Jobs in Kentucky

Data Annotation information

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How much do data annotation jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data annotation in Kentucky is $23.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.93 and $28.04 per hour, depending on experience, location, and employer.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

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

The most popular types of Data Annotation jobs in Kentucky are:

What are popular job titles related to Data Annotation jobs in Kentucky?

For Data Annotation jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Data Annotation jobs in Kentucky look for?

The top searched job categories for Data Annotation jobs in Kentucky are:

What cities in Kentucky are hiring for Data Annotation jobs?

Cities in Kentucky with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Kentucky as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,985 per year, or $23.6 per hour.

Data Annotation Engineer

Louisville, KY • On-site

Tanisha Systems
1 - 5K employees
Learn more about Tanisha Systemsexternal

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Data Annotation Engineer

Location - Louisville, Kentucky (Day 1 onsite)


Pay Rate: Market- based on experience


We are looking for an Annotation Program Lead to manage our AI Quality Annotation Program. This individual will oversee the operational execution of human review activities that establish the gold-standard datasets used to measure conversational AI performance, safety, and compliance.
The ideal candidate combines strong program management skills with experience in quality assurance, data annotation operations, and stakeholder engagement.
  • Lead the day-to-day operation of the AI annotation program.
  • Manage a team of annotators responsible for reviewing customer conversations and AI interactions.
  • Develop annotation guidelines, procedures, and quality standards.
  • Establish calibration programs and quality assurance processes to ensure consistency across reviewers.
  • Partner with Data Scientists to create and maintain gold-standard datasets.
  • Monitor annotation accuracy, throughput, and quality metrics.
  • Coordinate reporting and deliverables for Legal, Compliance, Responsible AI, and executive stakeholders.
  • Manage annotation workflows and tooling including setting up annotation jobs, running data processing scripts, and testing annotation UIs for quality before job launch.
  • Plan capacity requirements to support seasonal increases in review volume.
  • Support future expansion into multilingual evaluation programs.
  • Identify process improvements that increase efficiency and annotation quality.
  • Bachelor's degree or equivalent experience in Linguistics/Psychology.
  • 5+ years of experience in program management, operations, quality assurance, data labeling, or related fields.
  • Experience leading teams and managing operational workflows.
  • Strong organizational and stakeholder management skills.
  • Ability to analyze quality metrics and drive continuous improvement initiatives.
  • Excellent written and verbal communication skills.
  • Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.
  • Strong organizational and stakeholder management skills.
  • Ability to analyze quality metrics and drive continuous improvement initiatives.
  • Excellent written and verbal communication skills.
  • Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.
  • Experience supporting AI, machine learning, or data annotation programs.
  • Familiarity with Responsible AI, compliance, legal review, or governance processes.
  • Experience developing operational standards and quality frameworks.
  • Experience managing vendor or contractor resources.