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Ai Data Trainer Amazon Jobs (NOW HIRING)

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines * Document AI with Amazon Textract and Comprehend * Amazon ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines * Document AI with Amazon Textract and Comprehend * Amazon ...

Syracuse University

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

... training, work experience and key competencies; the university's strategic priorities; internal ... Familiarity in deploying AI/ML platforms (Azure AI Foundry, Google Vertex, Amazon Bedrock, OpenAI ...

Deloitte

Agentic AI, AI & Data Science Engineer

Tempe, AZ · On-site

$109K - $131K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Deloitte

Agentic AI, AI & Data Science Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Deloitte

Agentic AI, AI & Data Science Engineer

Miami, FL · On-site

$109K - $131K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Deloitte

Agentic AI, AI & Data Science Engineer

Dallas, TX · On-site

$113K - $136K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Deloitte

Agentic AI, AI & Data Science Engineer

Tampa, FL · On-site

$108K - $129K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Deloitte

Agentic AI, AI & Data Science Engineer

Sacramento, CA · On-site

$122K - $146K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Deloitte

Agentic AI, AI & Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Deloitte

Agentic AI, AI & Data Science Engineer

Denver, CO · On-site

$117K - $141K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Deloitte

Agentic AI, AI & Data Science Engineer

Detroit, MI · On-site

$113K - $136K/yr

... testing, training, defining support procedures. Your background in technology will provide the ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

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Ai Data Trainer Amazon information

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

As of Aug 3, 2026, the average hourly pay for ai data trainer amazon in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

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.

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.

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.

How do I become an AI data trainer at Amazon?

To become an AI data trainer at Amazon, candidates typically need a background in data annotation, machine learning, or related fields, along with strong attention to detail and communication skills. Experience with data labeling tools and understanding of AI model training processes are also beneficial. Relevant certifications or training in data management can improve prospects for this role.
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Ai Data Trainer Amazon jobs near you
Infographic showing various Ai Data Trainer Amazon job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$150K - $200K/yr

Full-time

Re-posted 26 days ago

Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS — from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.

What You'll Do:

  • Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
  • Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
  • Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
  • Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
  • Configure data warehouse platforms — Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe, Databricks with Delta Lake and Auto Loader
  • Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
  • Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
  • Design SageMaker ML pipelines for training, Model Registry, and inference
  • Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
  • Mentor delivery team members on data architecture patterns and AWS data services
  • Contribute to R&D projects evaluating emerging AWS data and AI capabilities
 

Required Skills:

  • 5+ years professional IT experience, 2+ years professional AWS experience
  • At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
  • Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
  • SQL and NoSQL on AWS — Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB — including schema design and query optimization
  • Data modeling — conceptual, logical, and physical models for AWS data platforms; normalized silver-layer schemas, denormalized star/snowflake gold-layer schemas, data dictionaries
  • Dimensional modeling and medallion architecture (bronze/silver/gold) on Redshift, Snowflake, or Databricks, including materialized views and incremental refresh patterns
  • AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
  • S3 data lake architecture with partitioning, lifecycle policies, and encryptions
 

Preferred:

  • RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
  • Amazon SageMaker for ML training, Model Registry, and inference
  • AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
  • Document AI with Amazon Textract and Comprehend
  • Amazon Athena, QuickSight, or PowerBI integration
  • Terraform or CloudFormation for data infrastructure as code
  • Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration

The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.