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Data Annotation For Ai Jobs in Nebraska (NOW HIRING)

Responsible for developing and delivering machine learning and AI solutions for Claims use cases ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

Our team needs a full-time AI/ML Engineer. In this role, you will be responsible for software development and design for Artificial Intelligence and Machine Learning systems, model creation, data ...

Our team needs a full-time AI/ML Engineer. In this role, you will be responsible for software development and design for Artificial Intelligence and Machine Learning systems, model creation, data ...

... Intelligence (AI) researchers and engineers towards building scalable ML solutions for HBO Max ... Develop innovative data science solutions that utilize machine learning and deep learning ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Sr. Data Engineer

Omaha, NE · On-site

$112K - $135K/yr

We're looking for a Senior Data Engineer who can help build the data foundation powering everything from business intelligence and self-service analytics to emerging artificial intelligence (AI ...

New

Senior Data Analyst

Grand Island, NE

$85K - $108K/yr

Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data visualization and dashboarding in Looker. * Familiarity with AI agents and their role in delivering ...

Sr. Data Engineer

Omaha, NE · On-site

$109K - $131K/yr

We're looking for a Senior Data Engineer who can help build the data foundation powering everything from business intelligence and self-service analytics to emerging artificial intelligence (AI ...

New

Senior Data Analyst

Valentine, NE · On-site

$74K - $93K/yr

Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data visualization and dashboarding in Looker. * Familiarity with AI agents and their role in delivering ...

Senior Data Analyst

Gretna, NE · On-site

$80K - $101K/yr

Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data visualization and dashboarding in Looker. * Familiarity with AI agents and their role in delivering ...

Senior Data Analyst

Kearney, NE · On-site

$81K - $102K/yr

Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data visualization and dashboarding in Looker. * Familiarity with AI agents and their role in delivering ...

Senior Data Analyst

Springfield, NE · On-site

$84K - $106K/yr

Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data visualization and dashboarding in Looker. * Familiarity with AI agents and their role in delivering ...

Showing results 41-60

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What are popular job titles related to Data Annotation For Ai jobs in Nebraska?

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

What job categories do people searching Data Annotation For Ai jobs in Nebraska look for?

The top searched job categories for Data Annotation For Ai jobs in Nebraska are:

What cities in Nebraska are hiring for Data Annotation For Ai jobs?

Cities in Nebraska with the most Data Annotation For Ai job openings:

Infographic showing various Data Annotation For Ai job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Data Science Manager

Kemper

Omaha, NE • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Location(s)

Alpharetta, Georgia, Bloomington, Illinois, Boston, Massachusetts, Chicago, Illinois, Columbus, Ohio, Hartford, Connecticut, Omaha, Nebraska

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide experience to our stakeholders that delivers on our promises.

Position Summary:

Responsible for developing and delivering machine learning and AI solutions for Claims use cases, including claim triage, fraud detection, severity prediction, litigation, subrogation, workflow optimization, and other claims analytics applications, while providing technical leadership and leading projects. This role includes direct people leadership responsibilities, including coaching, mentorship, and performance management

Position Responsibilities:

  • Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.
  • Communicates project progress, insights, results, and recommendations to business partners and senior leadership.
  • Manages project scope, expectations, and timelines.
  • Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.
  • Follows the model governance process including planning, documentation, validation, deployment, monitoring, and review.
  • Oversees model performance and supports ongoing monitoring and continuous improvement of deployed solutions.
  • Develops and mentors team members to maintain technical excellence in AI/ML, software engineering, and solution design.

Position Qualifications:

  • Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment.
  • PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.
  • Prior experience mentoring or managing talent.
  • Experience developing and deploying predictive models into production.
  • At least 6 years of experience with statistical modeling, machine learning, and AI technologies.
  • Strong proficiency in Python and SQL.
  • Experience with software development best practices, including version control (Git), code reviews, testing, and model lifecycle management.
  • Strong written and verbal communication skills, including the ability to communicate technical concepts and analytical insights to business stakeholders and senior leadership.
  • Claims experience preferred.
  • This position can be worked hybrid out of a local Kemper office. Remote options will be considered for non-local candidates.
  • Sponsorship is not accepted for this opportunity
  • The range for this position is $115,700 to $192,900. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.
Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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