$100 - $125/hr
About the role Our models are only as good as the data behind them. You'll own the labeling operation end to end -- the annotator team, the quality bar, the datasets themselves. This is a first-in ...
$100 - $125/hr
About the role Our models are only as good as the data behind them. You'll own the labeling operation end to end -- the annotator team, the quality bar, the datasets themselves. This is a first-in ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
Quick apply
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
Quick apply
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
AI/ML Data Contributor
Louisville, KY · On-site
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 ...
Data Annotation Engineer
Louisville, KY · On-site
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 ...
Data Annotation Engineer
Louisville, KY · On-site
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 ...
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 ...
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 ...
$200 - $250/hr
Data Labeling Engineering** team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' **AV ...
$200 - $250/hr
Data Labeling Engineering** team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' **AV ...
Data Architect Sr Stf - E5
Lexington, KY · On-site
$133K - $247K/yr
Implementing data labeling governance to improve discoverability and understandability. Understanding and selecting appropriate cloud deployment models (private, public, hybrid) and the differences ...
Data Architect Sr Stf - E5
Lexington, KY · On-site
$133K - $247K/yr
Implementing data labeling governance to improve discoverability and understandability. Understanding and selecting appropriate cloud deployment models (private, public, hybrid) and the differences ...
Data Architect Senior Staff
Lexington, KY · On-site
$58.75 - $78.75/hr
Implementing data labeling governance to improve discoverability and understandability. Understanding and selecting appropriate cloud deployment models (private, public, hybrid) and the differences ...
Data Architect Senior Staff
Lexington, KY · On-site
$58.75 - $78.75/hr
Implementing data labeling governance to improve discoverability and understandability. Understanding and selecting appropriate cloud deployment models (private, public, hybrid) and the differences ...
$150 - $200/hr
Background in high‑growth tech, marketplace/staffing operations, data labeling, human‑in‑the‑loop systems, or consulting environments * Excellent communication skills, with a track record of ...
$150 - $200/hr
Background in high‑growth tech, marketplace/staffing operations, data labeling, human‑in‑the‑loop systems, or consulting environments * Excellent communication skills, with a track record of ...
$250/hr
Bonus: familiarity with legacy tools like Crystal Reports or Oracle, experience preparing data infrastructure for ML/AI features (feature stores, data labeling, MLOps foundations), or a background in ...
New
$250/hr
Bonus: familiarity with legacy tools like Crystal Reports or Oracle, experience preparing data infrastructure for ML/AI features (feature stores, data labeling, MLOps foundations), or a background in ...
New
$150 - $200/hr
Co‑develop strategies and implementations for end‑to‑end research and development: data sourcing, data labeling, advanced modeling, evaluation/benchmarking, and product‑ready engineering ...
$150 - $200/hr
Co‑develop strategies and implementations for end‑to‑end research and development: data sourcing, data labeling, advanced modeling, evaluation/benchmarking, and product‑ready engineering ...
$150 - $200/hr
Co-develop strategies and implementations for end-to-end research and development: data sourcing, data labeling, advanced modeling, evaluation/benchmarking, and product-ready engineering ...
$150 - $200/hr
Co-develop strategies and implementations for end-to-end research and development: data sourcing, data labeling, advanced modeling, evaluation/benchmarking, and product-ready engineering ...
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover ...
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover ...
$150 - $200/hr
This role serves as a trusted advisor to government and industry partners, providing expertise in AI/ML data labeling, imagery exploitation tradecraft, and computer vision initiatives across the full ...
$150 - $200/hr
This role serves as a trusted advisor to government and industry partners, providing expertise in AI/ML data labeling, imagery exploitation tradecraft, and computer vision initiatives across the full ...
$150 - $200/hr
You will build human data labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches ...
$150 - $200/hr
You will build human data labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches ...
$100 - $125/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 ...
New
$100 - $125/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 ...
New
Data Labeling information
What is data labeling?
A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.
What are the typical day-to-day responsibilities of a data labeling professional?
A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.
What are the key skills and qualifications needed to thrive in data labeling, and why are they important?
To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.
How can I get started in data labeling?
To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.
How much do data labelers make?
Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.
Is data labeling a good career?
Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.
What are data labeling jobs?
Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.
What are the most commonly searched types of Data Labeling jobs in Kentucky?
The most popular types of Data Labeling jobs in Kentucky are:
What are popular job titles related to Data Labeling jobs in Kentucky?
For Data Labeling jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Kentucky look for?
The top searched job categories for Data Labeling jobs in Kentucky are:
Data Labeling Operations Manager
On-site
Bobyard, Inc.
$100 - $125/hr
Other
Posted 7 days ago
Job description
About Bobyard
About the role
What you'll do
What we’re looking for
Nice to have
What we offer
Comp Philosophy
#J-18808-LjbffrBobyard is building the AI that brings visual intelligence to construction. We're a Series A startup backed by 8VC, Primary, and Pear, and our models are trained on millions of construction drawings to help contractors estimate and bid faster. We're small, moving fast, and the work we ship directly changes whether a contractor wins or loses a bid.
About the role
Our models are only as good as the data behind them. You'll own the labeling operation end to end — the annotator team, the quality bar, the datasets themselves. This is a first-in-function hire: there's no playbook waiting for you, you'll build it. Success looks like a labeling operation that's fast, accurate, and trusted enough that ML engineers stop double-checking your team's work.
What you'll do
- Build and run the annotator team — recruit, onboard, train, and hold the bar on quality and throughput
- Own labeling quality — review annotations, catch systematic errors before they hit a model, and turn what you find into sharper guidelines
- Clean up the datasets we already have — fix inconsistent labels, missing metadata, duplicates, and other issues quietly hurting model performance
- Source new data — find and organize construction drawings that expand our coverage of formats, classes, and edge cases we're currently missing
- Turn ML requests into shipped datasets — scope the ask, run the project, deliver clean data on time
- Work directly with ML engineers to understand where models are failing and build the data that fixes it
- Build the tooling and workflows that make labeling faster and more reliable — this isn't just people management, it's systems work
What we’re looking for
- Direct experience managing a labeling, annotation, or data-quality team
- Extremely detail-oriented — you notice when data is wrong, inconsistent, or incomplete before anyone points it out
- Strong operational instincts — you can run many datasets, annotators, and priorities at once without dropping the details
- Technical enough to work with ML engineers — you understand false positives, false negatives, class imbalance, and train/test splits, and you can set up your own tools to speed up labeling
- Resourceful — when we need a new kind of data, you figure out how to find it
- High ownership — you don't just coordinate the work, you make sure the dataset is actually good
Nice to have
- Familiarity with labeling platforms like Labelbox, CVAT, or Supervisely
- Basic SQL or Python for querying and cleaning data
- Background in construction, CAD, or other visually complex technical domains
What we offer
$90,000–$125,000 base salary, plus equity. Full-time, in-person in our San Francisco Bay Area office. Standard 4-year vesting with a 1-year cliff.
Comp Philosophy
We are proud to offer competitive, top-of-market compensation because we want to celebrate the dedicated people who ship amazing work and drive our success. Our individual compensation is thoughtfully tailored based on your role, experience, and contributions, alongside performance-based rewards.