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Remote Ai Data Trainer Jobs in Rochester, NY (NOW HIRING)

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 ... Design SageMaker ML pipelines for training, Model Registry, and inference * Lead data discovery ...

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 ... Design SageMaker ML pipelines for training, Model Registry, and inference * Lead data discovery ...

DataAnnotation

M&A Associate - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Mindex

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

... data, and AI solutions. We combine deep technical expertise with a collaborative culture that ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

Mindex

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

... data, and AI solutions. We combine deep technical expertise with a collaborative culture that ... Benefits * Fully Remote Work Environment * Flexible Time Off * Medical, Dental, and Vision ...

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Remote Ai Data Trainer information

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

As of Jul 30, 2026, the average hourly pay for remote ai data trainer in Rochester, NY is $30.83, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $35.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Data Trainer, and why are they important?

To thrive as a Remote AI Data Trainer, you need strong analytical skills, attention to detail, and experience in data annotation or evaluation, often supported by a background in computer science, linguistics, or a related field. Familiarity with data labeling platforms, AI training tools, and sometimes programming languages like Python is typically required. Excellent communication, self-motivation, and the ability to work independently are key soft skills for remote collaboration and consistent performance. These skills ensure high-quality data preparation, accurate AI model training, and effective teamwork in distributed environments.

What is a Remote AI Data Trainer?

A Remote AI Data Trainer is a professional who works from a remote location to help train artificial intelligence systems by preparing, labeling, and reviewing data sets. This role often involves annotating images, text, audio, or video to ensure AI models learn correctly from quality data. Remote AI Data Trainers may also evaluate the performance of AI outputs and provide feedback for improvements. They typically work with machine learning engineers and data scientists to support the development of accurate and ethical AI systems.

What are some typical challenges Remote AI Data Trainers face when working with diverse datasets?

Remote AI Data Trainers often work with datasets that vary greatly in structure, quality, and subject matter. One common challenge is ensuring consistency and accuracy while annotating or labeling data, especially when guidelines are complex or ambiguous. Additionally, working remotely requires strong communication skills to collaborate effectively with data scientists, project managers, and other trainers. Staying organized and managing time efficiently are crucial since trainers might juggle multiple projects or deadlines. Regular feedback sessions and adherence to detailed documentation help overcome these challenges and maintain high-quality output.
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Remote Ai Data Trainer jobs near you
Infographic showing various Remote Ai Data Trainer job openings in Rochester, NY as of July 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $64,118 per year, or $30.8 per hour.

AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$150K - $200K/yr

Full-time

Re-posted 21 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.