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Ai Data Trainer Amazon Jobs in Rochester, MN (NOW HIRING)

Mayo Clinic

Senior AI-ML Engineer

Rochester, MN · On-site

$106K - $145K/yr

AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer ... training and education to healthcare staff on AI tools and technologies. • Contributing to ...

Mayo Clinic

Senior AI-ML Engineer

Rochester, MN · On-site +1

$106K - $145K/yr

... data science, AI Engineering, and the MLOps communities. Demonstrated initiative in administration, education, software development, and technical reporting. A commitment to mentoring and training ...

Mayo Clinic

Senior AI-ML Engineer

Rochester, MN · On-site +1

$106K - $145K/yr

... data science, AI Engineering, and the MLOps communities. Demonstrated initiative in administration, education, software development, and technical reporting. A commitment to mentoring and training ...

Mayo Clinic

Senior AI-ML Engineer

Rochester, MN · On-site +1

$106K - $145K/yr

... data science, AI Engineering, and the MLOps communities. Demonstrated initiative in administration, education, software development, and technical reporting. A commitment to mentoring and training ...

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN · On-site

$102K - $140K/yr

AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer ... training and education to healthcare staff on AI tools and technologies. • Contributing to ...

New

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN

$102K - $140K/yr

... data science, AI Engineering, and the MLOps communities. Demonstrated initiative in administration, education, software development, and technical reporting. A commitment to mentoring and training ...

New

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN · On-site

$102K - $140K/yr

... data science, AI Engineering, and the MLOps communities. Demonstrated initiative in administration, education, software development, and technical reporting. A commitment to mentoring and training ...

New

Mayo Clinic

Senior AI/ML Engineer (Hybrid)

Rochester, MN · On-site

$106K - $145K/yr

... data science, AI Engineering, and the MLOps communities. Demonstrated initiative in administration, education, software development, and technical reporting. A commitment to mentoring and training ...

New

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How much do ai data trainer amazon jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai data trainer amazon in Rochester, MN is $31.76, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $36.15 per hour, depending on experience, location, and employer.

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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Ai Data Trainer Amazon jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, MN • On-site

Other

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

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:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing 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.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • 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.

Apply