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From Home Ai Data Trainer Amazon Jobs (NOW HIRING)

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS - from S3 ... Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 ...

$165K - $225K/yr

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions ... Stay ahead of industry trends in AI training data, including emerging labeling methodologies ...

Ai Data Collector

Philadelphia, PA · On-site

$21 - $22/hr

Record objects from multiple angles and viewpoints * Verify data quality and completeness before ... Furniture and home décor * Statues, sculptures, and artwork * Retail products and merchandise

New

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 ...

AI & Data Architect

Manhattan, NY · On-site

$200 - $220/hr

... from architecture through execution. In-Office Requirement: 4 days per weekAI-Ready Data ... training; licenses and/or certifications. The anticipated base salary range for this role is $200 ...

AI & Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

... from architecture through execution. In-Office Requirement: 4 days per week AI-Ready Data ... training; licenses and/or certifications. The anticipated base salary range for this role is $200 ...

AI & Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

... from architecture through execution. In-Office Requirement: 4 days per week AI-Ready Data ... training; licenses and/or certifications. The anticipated base salary range for this role is $200 ...

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 ...

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 ...

You will design and implement data pipelines that ingest from legal systems, transform data into AI-ready formats, load vector databases and other AI stores, and expose data services through APIs.

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 ...

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From Home Ai Data Trainer Amazon information

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$13

$31

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

As of Aug 21, 2026, the average hourly pay for from home 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.

What is a from home AI data trainer at Amazon?

A From Home AI Data Trainer at Amazon is responsible for helping improve artificial intelligence systems by labeling, annotating, and evaluating data from home. These trainers work remotely to provide feedback on AI outputs, such as reviewing machine-generated responses or categorizing data, to enhance the performance of Amazon's AI technologies. The role typically involves following specific guidelines and using proprietary tools to ensure data accuracy and quality. It is suitable for individuals seeking flexible, remote work with the opportunity to contribute to AI development.

How does a from home AI data trainer at Amazon typically collaborate with other team members while working remotely?

As a From Home AI Data Trainer at Amazon, collaboration with team members often takes place through digital channels such as video meetings, chat platforms, and project management tools. You will regularly communicate with machine learning engineers, data scientists, and project managers to clarify data labeling guidelines, discuss feedback, and ensure the quality of training datasets. The remote environment emphasizes clear written communication and proactive participation in virtual team discussions. Building strong relationships with colleagues and promptly addressing questions or concerns helps keep projects on track and ensures consistent data quality.

What are the key skills and qualifications needed to thrive as a from home AI data trainer at Amazon?

To thrive as a Work-from-Home AI Data Trainer at Amazon, you typically need strong analytical skills, attention to detail, and a background in data entry or linguistics, often supported by a relevant bachelor’s degree. Familiarity with data labeling tools, cloud-based platforms, and basic spreadsheet software is essential, and experience with annotation systems or Amazon's proprietary tools can be advantageous. Excellent communication, time management, and the ability to follow complex guidelines make a candidate stand out in this remote role. These skills ensure high-quality, accurate data annotation and training, which are critical for developing reliable AI models.

What is the difference between From Home Ai Data Trainer Amazon vs From Home Ai Data Analyst Amazon?

AspectFrom Home Ai Data Trainer AmazonFrom Home Ai Data Analyst Amazon
Primary RoleTraining AI models by labeling and annotating dataAnalyzing data to generate insights and reports
Required SkillsAttention to detail, basic understanding of AI/ML, data labelingData analysis, statistical skills, proficiency in Excel/SQL
Work EnvironmentRemote, flexible hours, task-basedRemote or office, project-based or ongoing analysis
Common CertificationsNone required, but familiarity with AI tools helpfulData analysis certifications (e.g., Microsoft, Google) beneficial

While both roles are remote and involve working with data, From Home Ai Data Trainers focus on preparing and labeling data to train AI models, whereas From Home Ai Data Analysts interpret data to support business decisions. Understanding these differences helps job seekers find the right fit based on skills and interests.

Are these from home AI data trainer Amazon jobs real?

From Home AI Data Trainer Amazon jobs are legitimate roles that involve training artificial intelligence systems by reviewing and labeling data remotely. These positions typically require attention to detail, computer skills, and sometimes specific training or certifications. However, job seekers should verify listings directly through official Amazon channels to avoid scams.

Do from home AI data trainers at Amazon work from home?

Yes, many AI data trainers at Amazon work from home, especially those involved in data labeling and quality assurance tasks. These roles often require a computer, internet connection, and attention to detail, and they typically offer flexible schedules. However, specific job requirements and remote work policies may vary by position and team.

How much do from home AI data trainers make?

From home AI data trainers typically earn between $12 and $20 per hour, depending on experience, the complexity of tasks, and the employer. These roles often require attention to detail and basic computer skills, with some positions offering part-time or flexible schedules.
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Infographic showing various From Home Ai Data Trainer Amazon job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Data Architect

Innovative Solutions

Rochester, NY • On-site, 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.
Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter
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

$150,000 - $200,000 a year
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.