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Work From Home Ai Data Labeling Jobs in Rochester, NY

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

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 ...

Innovative Solutions

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 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full ...

HMG Careers

Work From Home Sales Specialist

Piffard, NY · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

HMG Careers

Work From Home Sales Specialist

Newark, NY · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

HMG Careers

Work From Home Sales Specialist

Hemlock, NY · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

HMG Careers

Work From Home Sales Specialist

Retsof, NY · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

HMG Careers

Work From Home Sales Specialist

Batavia, NY · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

HMG Careers

Work From Home Sales Specialist

Hilton, NY · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

HMG Careers

Work From Home Sales Specialist

Linwood, NY · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

HMG Careers

Work From Home Sales Specialist

Fairport, NY · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

HMG Careers

Work From Home Sales Specialist

Holley, NY · Remote

$69K/yr

Remote, work-from-home career * Average first-year earnings of $69K through commissions and bonuses * Increased earning potential in later years through performance and renewals * Residual income ...

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Work From Home Ai Data Labeling information

What is a work from home AI data labeling?

A Work From Home AI Data Labeling job involves annotating and categorizing data, such as images, text, or audio, to train machine learning models. Labelers follow specific guidelines to ensure accuracy and consistency in tagging data. This work is typically done remotely using specialized software provided by the employer. It is a key step in improving AI systems by helping them learn from high-quality labeled data.

What are the key skills and qualifications needed to thrive in the work from home AI data labeling position, and why are they important?

To thrive as a Work From Home AI Data Labeling professional, you need keen attention to detail, basic data analysis skills, and often a high school diploma or equivalent. Familiarity with digital annotation platforms or labeling tools, and experience using spreadsheets or data management systems, are commonly required. Strong time management, self-motivation, and the ability to follow complex guidelines distinguish top performers in this remote role. These skills ensure consistent, high-quality labeled data vital for training reliable AI models.

What does a typical day look like for someone in a work from home AI data labeling position?

A typical day as a work-from-home AI data labeler involves reviewing batches of digital data (such as images, text, or audio) and accurately tagging or annotating them according to specific project guidelines. You will regularly use specialized software tools, collaborate remotely through messaging platforms, and check in with team leads or quality assurance reviewers for feedback. The pace can be steady and repetitive, but there’s often flexibility in scheduling and the potential to take on more advanced projects or supervisory roles as you gain experience. Success in this role relies on maintaining focus, meeting daily quotas, and communicating any challenges promptly with your remote team.

What are popular job titles related to Work From Home Ai Data Labeling jobs in Rochester, NY?

For Work From Home Ai Data Labeling jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Work From Home Ai Data Labeling jobs in Rochester, NY look for?

The top searched job categories for Work From Home Ai Data Labeling jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Work From Home Ai Data Labeling jobs?

Cities near Rochester, NY with the most Work From Home Ai Data Labeling job openings:

Work From Home Ai Data Labeling jobs near you
Infographic showing various Work From Home Ai Data Labeling job openings in Rochester, NY as of August 2026, with employment types broken down into 73% Full Time, 11% Part Time, 5% Temporary, and 11% Contract. Highlights an 100% Remote job distribution.

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.