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Ai Labelling Jobs in Kentucky (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

$137 - $234/hr

Information Protection and labeling strategy * DLP and Endpoint DLP (including AI-specific scenarios) * Insider Risk Management and Communication Compliance * Data Lifecycle Management and retention ...

$180 - $240/hr

We build Altra, an AI-powered drone software platform, and HX-2, our autonomous drone. We are ... Experience with annotation tools and workflows (CVAT, Label Studio, or similar) * Background in ...

$140 - $190/hr

Experience overseeing the full data lifecycle, from acquisition and cleaning to high-fidelity labeling for specialized collections. * Communication:Ability to articulate complex AI concepts to non ...

$180 - $240/hr

Build systems for data collection, labeling, and continuous improvement of AI models * Collaborate closely across teams to identify opportunities where AI can create meaningful user value * Build ...

$184 - $357/hr

We combine NVIDIA AI technologies with open models, frontier models, and strategic partner ... human labels, deterministic checks, or task-specific ground truth. * Experience developing or ...

$152 - $288/hr

Previous exposure to large scale Robotics data curation, annotation, filtering pipelines, including the use of AI models for data labeling. * Experience deploying NVIDIA inference technologies ...

$140 - $215/hr

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate ... data labeling, advanced modeling, evaluation/benchmarking, and product-ready engineering ...

$160 - $210/hr

... labels into ultra-high-quality training datasets for model fine-tuning. * Cross-Functional ... ensure AI platforms operate safely and ground outputs in validated healthcare protocols.

$170 - $240/hr

Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models * Expert Marketplace : Connecting AI teams with highly ...

$140 - $200/hr

Ability to provide expert presentation and technical support for the on-label use of Viz.ai software * Collaborate with the Vice President, Area Directors, and Marketing to develop and implement ...

$150 - $210/hr

Build pipelines for dataset creation, labeling, and evaluation. * Integrate AI services into backend systems and user workflows. * Collaborate with fullstack and agent engineers to connect AI output ...

$95 - $140/hr

Deploying Client's AI data center infrastructure across new builds, expansions, refreshes, and high-density compute deployments * Racking, stacking, cabling, labeling, and validating servers, PDUs ...

New

$74.39/hr

... productive labelling. * Stay ahead of advances in agentic AI, safety, compliance, and UX, ... whileapplyingmodern AI product thinking * Support in partneringwith engineering, data, and design ...

New

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Ai Labelling information

What is an AI labelling?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

What are the key skills and qualifications needed to thrive in AI labelling?

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are some typical challenges faced in AI labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

What are popular job titles related to Ai Labelling jobs in Kentucky?

For Ai Labelling jobs in Kentucky, the most frequently searched job titles are:

Infographic showing various Ai Labelling job openings in Kentucky as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

AI/ML Data Contributor

TSMG

Louisville, KY • On-site

Part-time

Re-posted 9 hours 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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