Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
AI Platform Engineer, Python - Lead Software Engineer
Wilmington, DE · On-site
$152K - $215K/yr
... for correctness, performance, and security. * Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and ...
AI Platform Engineer, Python - Lead Software Engineer
Wilmington, DE · On-site
$152K - $215K/yr
... for correctness, performance, and security. * Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling.
Consulting Principal, AI Architect (Dover)
Dover, DE · On-site
$122K - $194K/yr
... for AI & GenAI Platforms , you will make an impact by leading client-facing AI transformation initiatives focused on generative AI, retrieval-augmented generation (RAG), and advanced data and AI ...
Consulting Principal, AI Architect (Dover)
Dover, DE · On-site
$122K - $194K/yr
... for AI & GenAI Platforms , you will make an impact by leading client-facing AI transformation initiatives focused on generative AI, retrieval-augmented generation (RAG), and advanced data and AI ...
Enterprise AI Tools Specialist
Wilmington, DE · On-site +1
$103K - $129K/yr
Act as escalated support for AI-related questions from both end-users and IT staff * Work with end ... Ensure compliance with organizational data governance policies across all AI platforms, including ...
Enterprise AI Tools Specialist
Wilmington, DE · On-site +1
$103K - $129K/yr
Act as escalated support for AI-related questions from both end-users and IT staff * Work with end ... Ensure compliance with organizational data governance policies across all AI platforms, including ...
You will help teams adopt responsible "human-in-the-loop" ways of working for AI-supported ... Leverage data from systems of record to refine targeting and optimize performance, incorporating ...
You will help teams adopt responsible "human-in-the-loop" ways of working for AI-supported ... Leverage data from systems of record to refine targeting and optimize performance, incorporating ...
You will help teams adopt responsible "human-in-the-loop" ways of working for AI-supported ... Leverage data from systems of record to refine targeting and optimize performance, incorporating ...
You will help teams adopt responsible "human-in-the-loop" ways of working for AI-supported ... Leverage data from systems of record to refine targeting and optimize performance, incorporating ...
You will help teams adopt responsible "human-in-the-loop" ways of working for AI-supported ... Leverage data from systems of record to refine targeting and optimize performance, incorporating ...
You will help teams adopt responsible "human-in-the-loop" ways of working for AI-supported ... Leverage data from systems of record to refine targeting and optimize performance, incorporating ...
GenAI Engineer
Wilmington, DE · On-site
... for AI solutions • Ensure regulatory compliance and AI governance standards • Implement data security, privacy, and access control mechanisms • Integrate AI models into production using APIs ...
GenAI Engineer
Wilmington, DE · On-site
... for AI solutions • Ensure regulatory compliance and AI governance standards • Implement data security, privacy, and access control mechanisms • Integrate AI models into production using APIs ...
Data Annotation For Ai information
What is the difference between Data Annotation For Ai vs Data Labeler?
| Aspect | Data Annotation For Ai | Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote or on-site, tech companies, AI projects | Remote or on-site, data processing companies |
| Industry Usage | Artificial Intelligence, Machine Learning | Data management, content moderation |
| Job Focus | Preparing data for AI algorithms through annotation | Labeling 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 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 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 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 popular job titles related to Data Annotation For Ai jobs in Delaware? For Data Annotation For Ai jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Annotation For Ai jobs in Delaware look for? The top searched job categories for Data Annotation For Ai jobs in Delaware are:
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Full-time
Re-posted 17 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
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Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
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Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
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Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
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Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
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Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
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Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020