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Data Annotation For Ai Jobs in Delaware (NOW HIRING)

DijavAI

AI Security Engineer

Dover, DE · On-site

$140 - $190/hr

Design and implement security measures for AI infrastructure and data pipelines. What You'll Do * Conduct security assessments of AI systems * Implement encryption and access controls * Monitor for ...

Bancorp Bank

$100 - $130/hr

Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services. * Ensures all AI solutions meet model risk management, data ...

DijavAI

AI Application Engineer

Dover, DE · On-site

$120 - $180/hr

Collaborate with data scientists * Implement CI/CD pipelines for AI systems What We're Looking For * 6+ years in software engineering or ML engineering * Proficiency in Python and ML frameworks

Bancorp Bank

$150 - $200/hr

... data-driven decision making to high-value business processes. This position serves as the enterprise leader and executive sponsor for AI within the Automation program, ensuring that solutions are ...

ApTask

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

They are seeking an AI-ML Tech Lead to own the end-to-end architecture for AI-agent systems and ... for safe execution, auditability, and data protection. • Lead performance optimization ...

Iff

AI & Data Scientist

Wilmington, DE · On-site

Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that ... Opportunity to work on innovative AI and data science initiatives that directly impact global ...

Mwe

Pricing Data Engineer

Wilmington, DE · On-site

$110K - $169K/yr

Support the development and maintenance of pricing strategies for AI-enabled legal services and emerging delivery models * Develop and manage data pipelines and queries to support pricing analysis ...

Luxoft

AI Governance & Controls Lead

Wilmington, DE · On-site

$140 - $190/hr

... for operationalizing client's AI governance framework: authoring and maintaining AI standards and ... Experience supporting AI, data, or technology committees and governance forums #J-18808-Ljbffr

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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 Delaware look for?

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Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Delaware as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution.

AI Security Engineer

DijavAI

Dover, DE • On-site

$140 - $190/hr

Other

Posted 13 days ago

Job description

Protect AI systems from security threats and vulnerabilities. Design and implement security measures for AI infrastructure and data pipelines.

What You'll Do
  • Conduct security assessments of AI systems
  • Implement encryption and access controls
  • Monitor for security threats
  • Collaborate with ML teams on secure model deployment
  • Perform penetration testing
What We're Looking For
  • 8+ years in cybersecurity or AI security
  • Experience with ML model security
  • Knowledge of data protection regulations
  • Proficiency in security tools and frameworks
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