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

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 ...

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$65.25 - $84/hr

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 ...

MegazoneCloud US

Sr. Solutions Architect AI

Rochester, NY · On-site

... data pipelines, feature stores, model training, vector databases, and real-time inference. • Own ... Define best practices for responsible AI, data quality, and security, serving as the final point of ...

DataAnnotation

Treasury Analyst - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

MegazoneCloud

Sr. Solutions Architect AI

Rochester, NY · On-site

$170K - $195K/yr

... data pipelines, feature stores, model training, vector databases, and real-time inference. * Own ... Define best practices for responsible AI, data quality, and security, serving as the final point of ...

Megazone Cloud US

Sr. Solutions Architect AI

Rochester, NY · On-site

$150 - $200/hr

... data pipelines, feature stores, model training, vector databases, and real-time inference. * Own ... Define best practices for responsible AI, data quality, and security, serving as the final point of ...

DataAnnotation

M&A Associate - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Pwc

US Tech - AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... specialized training and/or progressively responsible work experience in technology for each ...

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

As of Aug 27, 2026, the average hourly pay for hourly 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 is an hourly AI data trainer?

An Hourly AI Data Trainer is a professional who works on a part-time or contract basis to label, annotate, and review data to help train artificial intelligence (AI) models. Their main responsibility is to ensure that data used for machine learning algorithms is accurate, consistent, and well-organized. These trainers might work with text, images, audio, or video data, following detailed guidelines to categorize or tag content appropriately. The role is essential for improving the performance and reliability of AI systems, as well-labeled data is crucial for effective machine learning. Hourly AI Data Trainers often work remotely and may be compensated based on the amount of data processed or time spent working.

What are the key skills and qualifications needed to thrive as an hourly AI data trainer?

To thrive as an Hourly AI Data Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of data annotation or machine learning concepts, often supported by relevant coursework or experience. Familiarity with annotation platforms, data labeling tools, and sometimes basic coding or spreadsheet applications is typically required. Excellent communication, reliability, and the ability to follow detailed guidelines set standout performers apart. These skills ensure high-quality, accurate data labeling, which is critical for training effective AI models.

What are some common challenges faced by hourly AI data trainers, and how can they be managed effectively?

Hourly AI Data Trainers often encounter challenges such as maintaining consistency in data labeling, understanding complex annotation guidelines, and managing repetitive tasks. Staying organized and regularly referring to updated project documentation helps ensure accuracy. Collaborating with team leads and participating in periodic quality reviews can also reduce errors and improve efficiency. Keeping open communication with peers allows for quick clarification of uncertainties, making the work more manageable and productive.

What is the difference between Hourly Ai Data Trainer vs Data Annotator?

AspectHourly Ai Data TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; no specialized certifications typically required
Work EnvironmentRemote or on-site, often in tech or AI companiesPrimarily remote or on-site, in data labeling or content moderation settings
Employer & Industry UsageTech companies, AI startups, research institutionsData labeling firms, AI companies, content platforms

While both roles involve working with data, an Hourly Ai Data Trainer focuses on training AI models by providing structured data and feedback, often requiring some technical understanding. A Data Annotator primarily labels or tags data to prepare it for machine learning, with less emphasis on training AI systems. Both roles are essential in AI development but differ in scope and responsibilities.

What are the most commonly searched types of Ai Data Trainer jobs in Rochester, NY?

The most popular types of Ai Data Trainer jobs in Rochester, NY are:

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For Hourly Ai Data Trainer jobs in Rochester, NY, the most frequently searched job titles are:

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Cities near Rochester, NY with the most Hourly Ai Data Trainer job openings:

Hourly Ai Data Trainer jobs near you

AI Data Architect

Rochester, NY • On-site, Remote

Innovative Solutions
See more jobs at Innovative Solutionsexternal

$150K - $200K/yr

Full-time

Re-posted yesterday

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.

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