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Ai Data Trainer Amazon Jobs in Delaware (NOW HIRING)

Sr. AI Engineer

Wilmington, DE ยท On-site

$118K - $156K/yr

Apply Responsible AI, data protection, and access controls; contribute guardrails (filters, red ... Experience leveraging and training NLP models * Experience fine-tuning LLMs and VLMs * Experience ...

Sr. AI Engineer

Wilmington, DE ยท On-site

$118K - $156K/yr

Apply Responsible AI, data protection, and access controls; contribute guardrails (filters, red ... Experience leveraging and training NLP models * Experience fine-tuning LLMs and VLMs * Experience ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform complex injury data into actionable strategies that protect associates and optimize work ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Deliver engaging safety training that resonates with associates and promotes a proactive safety ...

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Showing results 1-20

Ai Data Trainer Amazon information

What is an AI data trainer Amazon?

An AI Data Trainer at Amazon is responsible for labeling, annotating, and curating datasets used to train machine learning models. This role involves reviewing AI-generated outputs, ensuring accuracy, and improving model performance through high-quality data inputs. Trainers often work with natural language processing (NLP) tasks, image recognition, or other AI-related projects. Strong attention to detail and familiarity with AI concepts are essential for success in this role.

What does an AI data trainer Amazon do?

As an AI Data Trainer at Amazon, your daily tasks typically involve labeling and annotating datasets, verifying data quality, and identifying patterns or inconsistencies that could impact AI model development. You will frequently collaborate with data scientists, engineers, and fellow trainers to refine annotation guidelines and resolve ambiguous cases. Regular feedback loops and team meetings are common, ensuring the data you help curate meets project standards and deadlines. Over time, you'll develop a deep understanding of the data pipeline and may have opportunities to take on supervisory or process-improvement roles as you gain experience.

What are the key skills and qualifications needed to thrive as an AI data trainer Amazon?

To excel as an AI Data Trainer at Amazon, a solid background in data annotation, machine learning concepts, and attention to detail is essential, often supported by a degree in computer science or related fields. Experience with annotation platforms (like Amazon SageMaker Ground Truth), familiarity with data labeling tools, and knowledge of QA processes are frequently required. Strong communication, collaboration, and problem-solving abilities help individuals contribute effectively in cross-functional teams. These competencies are crucial for ensuring accurate, high-quality training data that directly impacts the performance of Amazon's AI models.

How do I become an AI Data Trainer Amazon?

To become an AI Data Trainer at Amazon, candidates typically need a background in data analysis, machine learning, or related fields, along with strong attention to detail and language skills. Experience with data annotation tools and understanding of AI model training processes are also beneficial. Relevant certifications or training in data management and AI can improve prospects for this role.

How much do AI Data Trainers at Amazon make?

AI Data Trainers at Amazon typically earn between $15 and $25 per hour, depending on experience and location. The role often involves tasks like data annotation, quality assurance, and working with machine learning models, sometimes requiring familiarity with tools like Amazon Mechanical Turk or SageMaker.

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What job categories do people searching Ai Data Trainer Amazon jobs in Delaware look for?

The top searched job categories for Ai Data Trainer Amazon jobs in Delaware are:

What cities in Delaware are hiring for Ai Data Trainer Amazon jobs?

Cities in Delaware with the most Ai Data Trainer Amazon job openings:

Senior AI & Automation Specialist (Hybrid)

Bancorp Bank

Wilmington, DE โ€ข On-site

$90 - $130/hr

Other

Posted 8 days ago


Job description

Overview

***This position is available as a hybrid position in our Wilmington, DE office.***

The Senior AI & Automation Specialist is responsible for leading the design, architecture, and delivery of enterprise AI-enabled automation solutions across The Bancorp Bank. This role integrates machine learning, natural language processing, and data-driven decisioning into enterprise workflows, enabling the evolution from task-based automation to intelligent, predictive, and decision-driven processes. This position serves as the senior technical and strategic authority for AI within the Automation program, ensuring solutions are scalable, compliant, and aligned with enterprise governance, model risk, and data management frameworks. The role operates across business, technology, and risk functions, requiring the ability to navigate evolving priorities, translate complex concepts, and drive enterprise adoption of AI capabilities within a regulated banking environment.

Responsibilities
  • Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
  • Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
  • Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
  • Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
  • Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
  • 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 governance, and regulatory compliance requirements.
  • Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
  • Transforms business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
  • Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
  • Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
  • Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
  • Performs other duties as assigned.
  • No travel required.
Qualifications

Education / Experience Requirements

  • Bachelorโ€™s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
  • Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
  • Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
  • Proven ability to lead complex, cross-functional technology initiatives.
  • Experience integrating AI capabilities into operational workflows and automation platforms.
  • Strong understanding of model risk, data governance, and regulatory considerations within financial services.

Preferred Qualifications

  • Advanced degree (Masterโ€™s or PhD) in AI, Data Science, or related discipline.
  • Experience with NLP, document intelligence, and predictive modeling techniques.
  • Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems.
  • Familiarity with enterprise AI governance frameworks and model lifecycle management.
  • Strong understanding of cloud-based AI architecture and API-driven integrations.
  • Exceptional stakeholder engagement and ability to translate technical concepts into business value.
  • Experience building or scaling intelligent automation programs within financial services.
  • Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations.
  • Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.
Benefits

Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/

The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.

Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.

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