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Data Annotation For Ai Jobs in Nebraska (NOW HIRING)

AT&T

Lead Cybersecurity - Insider Risk Engineer

Kimball, NE

$102K - $134K/yr

Develop andmaintaindata pipelines for AI use cases (collect, clean, label, transform) using approved data sources. * Create and iterate on LLM prompts, agent/workflow logic, and retrieval-augmented ...

Kiewit Corporation

Sr AI Engineer

Papillion, NE · On-site +1

$98K - $135K/yr

Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement observability, monitoring, logging, and troubleshooting for AI services. * Optimize platform ...

Woodmenlife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$110 - $150/hr

Data & Analytics Location: Home Office (Hybrid - Omaha, NE preferred) Role Overview How This Role ... This position is ideal for someone passionate about applying AI in production environments, solving ...

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... WoodmenLife will not sponsor applicants for work visas for this position. Applicants must be ...

GE HealthCare

Principal AI Engineer

Bellevue, NE · On-site

Summary As an AI Engineer, you will play a critical role in designing, building, and deploying ... data sources, and workflows to deliver reliable, production grade automation for clinical and ...

Nelnet, Inc.

AI / ML Engineer

Lincoln, NE · On-site

... for people where they live, learn, and work. At Nelnet, we believe in the transformative power of data and technology to drive business innovation. Our AI / ML Engineer role sits at the center of ...

Kiewit

Sr AI Engineer

Omaha, NE · On-site

$100K - $137K/yr

Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement observability, monitoring, logging, and troubleshooting for AI services. * Optimize platform ...

Nelnet, Inc.

AI / ML Engineer

Lincoln, NE · On-site

$95 - $130/hr

... for how teams evaluate and ship AI systems. You'll collaborate closely with Data Scientists ... Product, Software Engineers, and business partners to move solutions from concept to production.Job ...

Deloitte

AI Security Engineer Manager

Omaha, NE

Standards and Best Practices Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

TEKsystems

Senior AI Engineer

Omaha, NE · Remote

$65 - $100/hr

... data platforms and cloud infrastructure. • Implement observability, monitoring, logging, and troubleshooting for AI services. • Optimize platform performance, scalability, reliability, and cost ...

Kiewit

Sr AI Engineer

Omaha, NE · On-site

$110 - $170/hr

Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement observability, monitoring, logging, and troubleshooting for AI services. * Optimize platform ...

Buildertrend

Senior Data Engineer

Omaha, NE · On-site +1

$130K - $160K/yr

... access for AI tools, and handle privacy requests through tools like DataGrail to meet CCPA ... Set up data contracts with product engineering so upstream schema changes don't silently break the ...

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Nebraska

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.

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

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

Data Annotation For Ai jobs near you
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.

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Columbus, NE • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.

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