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Data Annotation Jobs in Kentucky (NOW HIRING)

$90 - $120/hr

These data pipelines support a range of cutting-edge technologies, including audio intelligence ... global annotation teams * Identify opportunities for better tooling, automation, and workflow ...

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Data Annotation information

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How much do data annotation jobs pay per hour?

As of Aug 22, 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 cities in Kentucky are hiring for Data Annotation jobs?

Cities in Kentucky with the most Data Annotation job openings:

Infographic showing various Data Annotation job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,985 per year, or $23.6 per hour.

Senior Program Manager, Data Operations

Deepgram

On-site

$90 - $120/hr

Other

Posted 4 days ago


Job description

Company Overview

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.

Company Operating Rhythm

At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.

Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.

Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.

About the Role

At Deepgram, data isn’t just fuel for our models, it’s a product in its own right. Our vertically integrated voice AI platform depends on strategically created, curated, and labeled audio: from original data collection and augmentation, to structured workflows and evaluation sets. These data pipelines support a range of cutting-edge technologies, including audio intelligence models, conversational voice agents, STT, and TTS.

We’re looking for a hands-on, systems-minded Program Manager to lead the design and execution of various voice data programs. This role is ideal for someone who thrives on building from scratch, someone who can take an abstract modeling goal or product need and turn it into a concrete data strategy and pipeline with tools, guidelines, and quality safeguards in place. This requires ownership to understand frontier research strategies, building custom style guides, prototyping new tools, and directly influencing how data shapes our products.

This is a role for builders, someone who can spot a gap, roll up their sleeves, and design the solution. You’ll be at the center of Deepgram’s model development cycle, working across Research, Engineering, and Product, and you’ll be elbow-deep in both the day-to-day execution and the systems thinking required to scale it.

This role reports to the VP of Data Operations.

What You’ll Own:
  • Design, launch, and own end-to-end data workflows: from raw audio ingestion to production-ready datasets
  • Build and evolve labeling specs, style guides, and instructional documentation for global annotation teams
  • Identify opportunities for better tooling, automation, and workflow optimization, and lead their implementation
  • Translate product goals and model requirements into data creation strategies, deciding what to build, how to build it, and why it matters for product impact
  • Own the full lifecycle for your domains — customer expectations, data acquisition, preparation, scaling, provenance, and evaluation — and be accountable for the model outcome, not just the data hand-off.
  • Prototype and deploy data tools and infrastructure
  • Collaborate with Research and Engineering to align data collection with model training architecture and downstream product impact
  • Track advancements in speech AI research and evolving market use cases to inform labeling approaches and data design priorities
  • Partner with QA and Evaluation leads to deliver high-quality, human-in-the-loop datasets and benchmarks
  • Manage and mentor data vendors, freelancers, and potentially internal ICs as the team grows
  • Track throughput, data quality, and vendor performance
  • Drive continuous improvement in speed, cost-efficiency, and quality across all data operations
  • Curate and refine datasets to align with specific product goals, linguistic coverage, or research hypotheses
What We're Looking For
  • Experience owning data, ML, or operations programs end-to-end in program/project or product management.
  • Fluency working directly with technical teams; you can hold a conversation about data quality, evaluation, and model impact.
  • Systems thinking, understanding how decisions propagate across a system, reason up from fundamentals instead of defaulting to convention, and design solutions that hold up as things scale.
  • A track record of prioritization under constraint — deciding what to fund, what to cut, and how to sequence it.
  • Strong operating instincts: you scope, sequence, assign, and ship, and nothing stalls because someone didn\'t know the next step.
  • Demonstrated ability to design and build scalable processes, not just manage existing ones
It would be great if you also had:
  • Direct exposure to speech/audio, ASR, or TTS data, and the specific nuances of multilingual, code-switched, low-resource, or domain-specific data.
  • Experience with active-learning or data-selection approaches
  • Startup or high-ambiguity experience
You’ll Love This Role If You
  • Believe that data is a product, not just a resource, and you want to help define what great voice data looks like
  • Enjoy turning experimental ideas into robust, repeatable systems that can scale to production
  • Thrive in ambiguity and take initiative without waiting for perfect specs, preferring action over perfection and iteration over indecision

Notice: We\'re aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you\'ve received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

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