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Ai Data Trainer Amazon Jobs in Bothell, WA (NOW HIRING)

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

Are you interested in using AI and data to drive the next phase of Amazon's growth? Amazon Fuse ( helps third party subscription-based businesses better serve their customers by offering the ...

Data Engineer, Amazon Fuse

Seattle, WA

$130K - $156K/yr

Are you interested in using AI and data to drive the next phase of Amazon's growth? Amazon Fuse ( helps third party subscription-based businesses better serve their customers by offering the ...

Data Engineer, Amazon Fuse

Seattle, WA

$130K - $156K/yr

Are you interested in using AI and data to drive the next phase of Amazon's growth? Amazon Fuse ( helps third party subscription-based businesses better serve their customers by offering the ...

AI & Data - Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... training and inference. • Implement data quality tests, documentation, and lineage in DBT • ... AI/Data Science) team to provide feature ready datasets. Qualifications : Required : • Hands-on ...

Data Engineer, Amazon Ads

Seattle, WA

$130K - $156K/yr

... agentic AI advertising products - Pipelines and models that turn raw data into decisions for ... Amazon Ads Finance with an ambitious vision and the runway to build it right the first time. We're ...

Data Engineer, Amazon Ads

Seattle, WA

$130K - $156K/yr

... agentic AI advertising products - Pipelines and models that turn raw data into decisions for ... Amazon Ads Finance with an ambitious vision and the runway to build it right the first time. We're ...

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

... agentic AI advertising products - Pipelines and models that turn raw data into decisions for ... Amazon Ads Finance with an ambitious vision and the runway to build it right the first time. We're ...

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Ai Data Trainer Amazon information

See Bothell, WA salary details

$15

$34

$71

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 Bothell, WA is $34.93, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $39.76 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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What cities near Bothell, WA are hiring for Ai Data Trainer Amazon jobs?

Cities near Bothell, WA with the most Ai Data Trainer Amazon job openings:

AI Data Scientist Expert - Remote

YO AI Labs

Seattle, WA • Remote

$100 - $200/hr

Part-time

Posted 8 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.