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

DataAnnotation

SDLC Engineer - AI Trainer

Rochester, MN · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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

As of Jun 10, 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 are the typical day-to-day responsibilities of an AI Data Trainer at Amazon?

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 in the Ai Data Trainer Amazon position, and why are they important?

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.

What is an AI Data Trainer Amazon job?

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 are popular job titles related to Ai Data Trainer Amazon jobs in Rochester, MN? For Ai Data Trainer Amazon jobs in Rochester, MN, the most frequently searched job titles are:
Ai Data Trainer Amazon jobs near you
Insolvency Litigator - AI Trainer - Remote

Insolvency Litigator - AI Trainer - Remote

micro1 AI

Rochester, MN • Remote

$100 - $150/hr

Part-time

Posted 14 days ago

Job description

Job Title: Attorney

Job Type: Contract

Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Key Responsibilities

  1. Design and implement robust legal rubrics for use in AI-driven document review and analysis processes.
  2. Conduct in-depth legal research and draft complex memoranda to guide AI model training and evaluation.
  3. Analyze large volumes of litigation documents to identify issues, trends, and data points vital for AI improvement.
  4. Collaborate with cross-functional teams to translate legal insights into actionable requirements for AI development.
  5. Oversee the quality and accuracy of AI outputs, providing feedback to enhance discovery management and motion practice capabilities.
  6. Develop case strategies and motion practice templates that inform machine learning models in legal contexts.
  7. Continuously review and refine rubric criteria to align with evolving legal standards and best practices.


Required Skills and Qualifications

  1. Juris Doctor (JD) degree and active bar membership.
  2. Active bar admission in at least one U.S. jurisdiction
  3. Minimum 5 years of litigation experience, with a strong track record managing document-intensive cases through discovery and dispositive motions.
  4. Exceptional legal research, writing, and analytical abilities, with particular skill in issue spotting and document analysis.
  5. Demonstrated expertise in case strategy development and motion practice.
  6. Proven ability to manage discovery processes and oversee complex legal document review projects.
  7. Outstanding written and verbal communication skills, with meticulous attention to detail.
  8. Technological acumen and comfort working in remote, digital-first environments.


Preferred Qualifications

  1. Law Review or Journal Editorial Experience, including substantive editing, cite-checking, and publication review of scholarly legal articles is highly prefered.

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