This role is critical to enabling scalable, secure, and compliant AI/ML workflows leveraging ... data scientists and engineers with best-in-class tools for feature engineering, model ...
This role is critical to enabling scalable, secure, and compliant AI/ML workflows leveraging ... data scientists and engineers with best-in-class tools for feature engineering, model ...
Research Software Engineer, First State AI Institute
Newark, DE · On-site
$200K/yr
Work with large-scale datasets, designing efficient data processing pipelines. * Support the deployment and scaling of AI models for real-world applications. * Contribute to open-source AI projects ...
Research Software Engineer, First State AI Institute
Newark, DE · On-site
$200K/yr
Work with large-scale datasets, designing efficient data processing pipelines. * Support the deployment and scaling of AI models for real-world applications. * Contribute to open-source AI projects ...
Research Software Engineer, First State AI Institute
Newark, DE · On-site
$200K/yr
Work with large-scale datasets, designing efficient data processing pipelines. * Support the deployment and scaling of AI models for real-world applications. * Contribute to open-source AI projects ...
Research Software Engineer, First State AI Institute
Newark, DE · On-site
$200K/yr
Work with large-scale datasets, designing efficient data processing pipelines. * Support the deployment and scaling of AI models for real-world applications. * Contribute to open-source AI projects ...
Tech Lead / Lead Architect - RAG and Agentic AI
Wilmington, DE · On-site
$53.50 - $73.50/hr
Deep understanding of AI guardrails (toxicity, hallucination control), data privacy, and cloud ... Expertise in API design, microservices integration, and event-driven architectures for AI systems.
Tech Lead / Lead Architect - RAG and Agentic AI
Wilmington, DE · On-site
$53.50 - $73.50/hr
Deep understanding of AI guardrails (toxicity, hallucination control), data privacy, and cloud ... Expertise in API design, microservices integration, and event-driven architectures for AI systems.
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-driven approaches where possible. - (15%) * Establish guardrails for responsible AI, including bias management, explainability, transparency, model risk management, and ethical use. - (15%
... data-driven approaches where possible. - (15%) * Establish guardrails for responsible AI, including bias management, explainability, transparency, model risk management, and ethical use. - (15%
... data-driven approaches where possible. - (15%) * Establish guardrails for responsible AI, including bias management, explainability, transparency, model risk management, and ethical use. - (15%
... data-driven approaches where possible. - (15%) * Establish guardrails for responsible AI, including bias management, explainability, transparency, model risk management, and ethical use. - (15%
Lead AI Compliance Testing
Wilmington, DE · Hybrid
$152K/yr
... responsible for leading AI-related compliance testing, governance, and credible challenge ... The AI Lead will partner across Compliance, Technology, Model/AI Risk, Data Governance, Privacy ...
Lead AI Compliance Testing
Wilmington, DE · Hybrid
$152K/yr
... responsible for leading AI-related compliance testing, governance, and credible challenge ... The AI Lead will partner across Compliance, Technology, Model/AI Risk, Data Governance, Privacy ...
Lead AI Compliance Testing
Wilmington, DE · Hybrid
$152K/yr
... responsible for leading AI-related compliance testing, governance, and credible challenge ... The AI Lead will partner across Compliance, Technology, Model/AI Risk, Data Governance, Privacy ...
Lead AI Compliance Testing
Wilmington, DE · Hybrid
$152K/yr
... responsible for leading AI-related compliance testing, governance, and credible challenge ... The AI Lead will partner across Compliance, Technology, Model/AI Risk, Data Governance, Privacy ...
VP Enterprise AI Enablement
$275K - $315K/yr
Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance. Own AI investment ...
VP Enterprise AI Enablement
$275K - $315K/yr
Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance. Own AI investment ...
You will be responsible for shaping how data is governed, structured, and consumed to enable ... You will champion an AI-first mindset, embedding AI/ML and automation into core WLS processes and ...
You will be responsible for shaping how data is governed, structured, and consumed to enable ... You will champion an AI-first mindset, embedding AI/ML and automation into core WLS processes and ...
You will be responsible for shaping how data is governed, structured, and consumed to enable ... You will champion an AI-first mindset, embedding AI/ML and automation into core WLS processes and ...
You will be responsible for shaping how data is governed, structured, and consumed to enable ... You will champion an AI-first mindset, embedding AI/ML and automation into core WLS processes and ...
AI Platform Engineer, Python - Lead Software Engineer
Wilmington, DE · On-site
$152K - $215K/yr
As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office, you are ... As a core technical contributor, you are responsible for conducting critical technology solutions ...
AI Platform Engineer, Python - Lead Software Engineer
Wilmington, DE · On-site
$152K - $215K/yr
As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office, you are ... As a core technical contributor, you are responsible for conducting critical technology solutions ...
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.
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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
Medical, Retirement
Re-posted 4 days ago
JPMorgan Chase & Co. rating
8.0
Based on 491 frontline employees who took The Breakroom Quiz
58th of 149 rated banks
Job description
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in Data and Analytics, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
We are seeking a seasoned Product Manager to lead the strategy and delivery of a Databricks-based Model Experimentation Platform that enables scalable, secure, and compliant AI/ML development across Consumer & Community Banking. This role is critical to enabling scalable, secure, and compliant AI/ML workflows leveraging Databricks as the foundational technology. You will drive cross-functional collaboration, platform migrations, and product innovation to empower data scientists and engineers with best-in-class tools for feature engineering, model experimentation, and lifecycle management.
Job responsibilities
- Develops a product strategy and product vision that delivers value to customers
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Drives the migration and integration of Databricks-based solutions, identifying dependencies, mitigating risks, and coordinating with cross-functional teams to ensure seamless execution.
- Collaborates with data science, engineering, architecture, and compliance teams to embed governance controls into product design and operations.
- Champions observability, monitoring, and operational resilience for AI/ML model experimentation workflows to ensure platform stability and reliability.
- Engages with internal customers and stakeholders to gather feedback, understand evolving needs, and translate them into actionable product enhancements.
- Leads vendor evaluation and selection processes related to model experimentation, ensuring alignment with strategic and compliance requirements.
- Communicates product vision, progress, and challenges transparently to senior leadership and critical partners, driving consensus and resource prioritization.
- Fosters a culture of innovation, continuous improvement, and collaboration across product, engineering, and architecture teams.
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
3+ years leading product strategy and delivery for a large-scale Databricks-based AI/ML platform (e.g., model experimentation, MLflow, feature engineering, governance, and platform operations).
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Deep expertise in AI/ML platform capabilities, specifically feature stores, model experimentation, and lifecycle management.
- Strong hands-on knowledge of Databricks and its ecosystem, including experience with platform migrations and integrations.
- Proven track record of delivering enterprise-grade AI/ML solutions in highly regulated environments.
- Demonstrated ability to lead cross-functional teams in matrixed organizations, managing dependencies and mitigating risks effectively.
- Excellent communication skills with the ability to influence senior leadership and diverse stakeholders.
- Strong strategic thinking and customer-centric mindset, with a focus on scalability, security, and operational excellence.
Experience with observability, monitoring, and governance frameworks for AI/ML workloads.
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Prior experience in financial services or similarly regulated industries.
- Knowledge of compliance frameworks related to AI/ML and data security.
- Strong understanding of market trends and emerging technologies in AI/ML infrastructure.
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.What JPMorgan Chase & Co. employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US