ZipRecruiter

Log In

2

Full Time Machine Learning Data Annotation Jobs in Louisville, KY

GE Appliances

AI Data Science Analytics

Louisville, KY · On-site

Leverage data analytics and machine learning techniques to solve real-world business challenges. Required Qualifications * Completed a bachelor's degree in Mathematics, Data Science, or a related ...

Pwc

AI Solutions Engineering Delivery Lead

Louisville, KY · On-site

$98K - $129K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Loram

Machine Operator 1 - SPS

Scottsburg, IN · On-site

$20 - $21/hr

Learning on the Fly * Action Oriented * Listening * Personal Learning This post is also available ... Working knowledge of data systems and remote equipment operations cellar or tethered. Aurora ...

Loram

Machine Operator 1 - SPS

Corydon, IN · On-site

$20 - $21/hr

Learning on the Fly * Action Oriented * Listening * Personal Learning This post is also available ... Working knowledge of data systems and remote equipment operations cellar or tethered. Aurora ...

Pwc

US Tech - AI Engineering Manager

Louisville, KY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Humana

Transformation Strategy Lead

Louisville, KY · On-site +1

Exposure to AI technologies, such as machine learning, natural language processing, and data ... full time (40 hours per week) employment at the time of posting. The pay range may be higher or ...

previous page

Showing results 41-60

All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Louisville, KY

Full Time Machine Learning Data Annotation information

See Louisville, KY salary details

$36K

$117.9K

$188.8K

How much do full time machine learning data annotation jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time machine learning data annotation in Louisville, KY is $117,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Louisville, KY? For Full Time Machine Learning Data Annotation jobs in Louisville, KY, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Louisville, KY look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Louisville, KY are:
Full Time Machine Learning Data Annotation jobs near you
Infographic showing various Full Time Machine Learning Data Annotation job openings in Louisville, KY as of July 2026, with employment types broken down into 17% Full Time, 8% Part Time, 1% Temporary, 68% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $117,931 per year, or $56.7 per hour.

AI Data Science Analytics

GE Appliances

Louisville, KY • On-site

Full-time

Posted 11 days ago

Job description

At GE Appliances, a Haier company, we come together to make "good things, for life."As the fastest-growing appliance company in the U.S., we're powered by creators, thinkers and makers who believe that anything is possible and that there's always a better way.We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together.

The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities:we come together,we always look for a better way, andwe create possibilities.

Interested in joining us on our journey?

As a Technical Co-op, you will have the opportunity to Imagine, Design, Build, & Learn! This role offers hands-on experience while working on challenging projects that contribute to the company's growth! You will have the opportunity to work with some of the brightest minds in the business and partner with a mentor who will help set your specific goals, deliverables, and expectations throughout your rotation.PositionAI Data Science AnalyticsLocationUSA, Louisville, KYHow You'll Create Possibilities

TheAI Data Science Analyticspositionruns fromAugust 17, 2026-December 11, 2026,and is based inLouisville, KY. Housing and relocationassistanceis availablefor eligible students.

Essential Duties & Responsibilities

  • Work alongside the AI Chat team to develop and enhance AI-powered tools and applications.

  • Analyze existing data, processes, and systems toidentifyinefficiencies and opportunities for improvement.

  • Investigate root causes of issues within existing AI and analytics solutions and develop effective resolutions.

  • Design, build, and test AI and data science solutions that improve operational efficiency and business outcomes.

  • Collaborate with engineers, data scientists, and business partners to implement innovative AI solutions.

  • Leverage data analytics and machine learning techniques to solve real-world business challenges.

Required Qualifications

  • Completed a bachelor's degree in Mathematics, Data Science, or a related quantitative field from an accredited university.

  • May 2026graduation date

  • Cumulative GPA >=3.0 (out of 4.0)at the time of graduation

  • Legal authorization to work in the country/region where the business ishiringisrequired. We will not sponsor individuals for employment visas now, nor in the future, for this position.

Desired Qualifications

  • Related coursework

  • Exceptional interpersonal and communication skills

  • Solid analytical skills

  • Desire and ability to learn

  • Passion for engineering

What You'll Bring to Our Team

GE Appliances is a trust-based organization. It isimportantwe offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GEA, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

GE Appliances offersa great workenvironment, professional development, challenging careers, and competitive compensation. GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Our Culture

Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D). This underscores our commitment to fostering an environment where every individual feels valued, connected, and empowered to contribute, while positioning our organization to adapt seamlessly to the evolving needs of our workforce and communities.
This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute. Strengthen communities where we live and work. Reinforce a culture of belonging, purpose, and engagement. Reflect the diversity of the communities we serve through our workforce, products, and practices.
By further embedding Zero Distance into our People and Culture framework, we will continue to build a deeply connected organization. We are cultivating a culture of engagement, belonging, and connection, because while attracting new talent remains a priority, retention is a cornerstone of our strategy.

GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GE Appliances, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.

GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S

If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e-mail toask.recruiting@geappliances.com

Apply