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Remote Ai Data Collection Jobs in Rochester, NY (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 ... This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ...

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 ... This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ...

Data Analysis Tutor

Rochester, NY · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

... Remote Security Manger app. ​Fairport, NY is the headquarters for the Radionix sales & marketing ... Analytics, Reporting & AI EnablementEnable trusted reporting by improving data definitions, master ...

New

... Remote Security Manger app. Fairport, NY is the headquarters for the Radionix sales & marketing ... Ensure AI and automation use cases are built on reliable, governed and fit-for-purpose data.

New

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote Sales Agent

Rochester, NY · Remote

$69K - $150K/yr

By applying, you consent to the collection and use of your personal information for recruitment ... applicable data protection laws. Employment is commission-based. Contact us if you require ...

Remote Sales Specialist

Rochester, NY · Remote

$69K - $150K/yr

By applying, you consent to the collection and use of your personal information for recruitment ... applicable data protection laws. Employment is commission-based. Contact us if you require ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Biostatistician

Rochester, NY · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

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Remote Ai Data Collection information

See Rochester, NY salary details

$15

$24

$31

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

As of Aug 24, 2026, the average hourly pay for remote ai data collection in Rochester, NY is $24.97, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $25.62 per hour, depending on experience, location, and employer.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

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

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

What are popular job titles related to Remote Ai Data Collection jobs in Rochester, NY?

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

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

The top searched job categories for Remote Ai Data Collection jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Ai Data Collection jobs?

Cities near Rochester, NY with the most Remote Ai Data Collection job openings:

AI Data Architect

Innovative Solutions

Rochester, NY • On-site, Remote

$150K - $200K/yr

Full-time

Re-posted 28 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.