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Remote Amazon Data Entry Jobs in Rochester, NY (NOW HIRING)

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 ...

All JobsAmazon Data Entry JobsRemote Amazon Data Entry JobsRemote Amazon Data Entry Jobs in Rochester, NY

Remote Amazon Data Entry information

See Rochester, NY salary details

$10

$19

$27

How much do remote amazon data entry jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote amazon data entry in Rochester, NY is $19.21, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.59 per hour, depending on experience, location, and employer.

Is Remote Amazon Data Entry really hiring remote workers?

Remote Amazon Data Entry positions are often advertised as remote jobs, but availability varies by employer and current hiring needs. Many such roles require basic data entry skills and familiarity with Amazon's systems, and they are typically performed remotely with flexible schedules. Job seekers should verify the legitimacy of listings and review specific employer requirements before applying.

How do you get a remote job from Amazon?

To get a remote Amazon data entry job, you should regularly check Amazon's official careers website for remote openings, ensure your resume highlights relevant data entry skills and experience, and complete the online application process. Some roles may require proficiency in tools like Excel or data management software and a reliable internet connection. Applying directly through Amazon's job portal and tailoring your application to the specific role increases your chances of success.

Does Amazon have remote data entry jobs?

Amazon offers remote data entry jobs that typically involve inputting and managing data from home using standard office software. These roles often require attention to detail, basic computer skills, and sometimes familiarity with Amazon's systems or data management tools.

What is a remote Amazon data entry?

A Remote Amazon Data Entry job involves entering, updating, and managing data related to Amazon's products, inventory, orders, or customer information. This role typically requires working with spreadsheets, databases, and Amazon's internal systems to ensure accurate and timely data processing. Employees may also be responsible for verifying product listings, correcting errors, and maintaining organized records. The job is performed entirely online, allowing individuals to work from home while ensuring Amazon's data remains accurate and up to date.

What does a typical day look like for someone working in remote Amazon data entry?

A typical day in Remote Amazon Data Entry involves inputting or updating product information, processing orders, verifying data accuracy, and ensuring listings meet Amazon’s guidelines. You may also communicate with team members via email or chat to resolve discrepancies and maintain deadlines. The majority of the work is performed independently from a home office and requires strong focus to manage multiple tasks efficiently. While collaboration with other departments, such as inventory or customer service, can occur, much of the role is task-driven and self-paced.

What are the key skills and qualifications needed to thrive in remote Amazon data entry, and why are they important?

To excel as a Remote Amazon Data Entry specialist, you need attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and Amazon Seller Central or similar e-commerce platforms is often preferred. Strong organizational skills, time management, and the ability to work independently are valued soft skills in this role. These competencies ensure error-free data management, efficient workflow, and smooth coordination with remote teams or supervisors.

What are the most commonly searched types of Amazon Data Entry jobs in Rochester, NY?

The most popular types of Amazon Data Entry jobs in Rochester, NY are:

What are popular job titles related to Remote Amazon Data Entry jobs in Rochester, NY?

For Remote Amazon Data Entry jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Entry jobs in Rochester, NY look for?

The top searched job categories for Remote Amazon Data Entry jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Amazon Data Entry jobs?

Cities near Rochester, NY with the most Remote Amazon Data Entry job openings:

Remote Amazon Data Entry jobs near you
Infographic showing various Remote Amazon Data Entry job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,965 per year, or $19.2 per hour.

AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$150K - $200K/yr

Full-time

Re-posted 7 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

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.