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Data Annotation Ai Trainer Jobs in Rochester, NY

DataAnnotation

Treasury Analyst - AI Trainer

Rochester, NY · Remote

$50 - $60/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Rochester, NY · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

DataAnnotation

M&A Associate - AI Trainer

Rochester, NY · Remote

$50 - $60/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

FP&A Manager - AI Trainer

Rochester, NY · Remote

$50 - $60/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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 ...

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Data Annotation Ai Trainer information

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

As of Jul 24, 2026, the average hourly pay for data annotation ai trainer in Rochester, NY is $24.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $26.11 per hour, depending on experience, location, and employer.

Is data annotation AI trainer legit?

Data annotation AI trainer roles involve labeling data to help train machine learning models and are generally legitimate jobs in the AI industry. These positions often require attention to detail and familiarity with annotation tools, and they can be found with reputable companies or platforms. However, job seekers should verify the employer's credibility and be cautious of scams or unrealistic promises.

Does data annotation really pay?

Data annotation jobs, including roles like AI trainer, typically pay hourly or per task rates that can range from minimum wage to higher amounts depending on experience and complexity. Many companies offer remote work with flexible schedules, and pay can vary based on skill level, project requirements, and the platform used for job postings.

How much do AI data trainers make?

AI data trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of tasks. Many roles are freelance or part-time, requiring skills in data labeling, annotation tools, and understanding of AI models.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions may pay closer to the lower end, while experienced trainers with specialized skills can earn higher wages, often working remotely with flexible schedules.

What is a Data Annotation AI Trainer job?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What are the key skills and qualifications needed to thrive in the Data Annotation Ai Trainer position, and why are they important?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

What does a typical day look like for a Data Annotation Ai Trainer?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

What are popular job titles related to Data Annotation Ai Trainer jobs in Rochester, NY? For Data Annotation Ai Trainer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Annotation Ai Trainer jobs in Rochester, NY look for? The top searched job categories for Data Annotation Ai Trainer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Annotation Ai Trainer jobs? Cities near Rochester, NY with the most Data Annotation Ai Trainer job openings:
Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai 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 $50,767 per year, or $24.4 per hour.

Record Your Daily Routine & Get Paid - AI Training (Remote)

Mindrift - Data annotation

Rochester, NY • Remote

$10/hr

Part-time

Posted 6 days ago

Job description

This is a project-based opportunity on an AI training platform - not a job. No fixed hours, no commitment beyond what fits your schedule. You record, you get paid.

About the Role

We're looking for people to record point-of-view videos of everyday household activities. You mount your smartphone on your head, go about your routine, and the camera captures exactly what you see. These videos help train AI systems and robots to understand how people interact with objects in real-world environments.
Do you wash dishes every day? Vacuum the rug? Walk the dog? Fold laundry? What if you could get paid just for recording it?

Responsibilities

  • Record everyday household activities from a first-person perspective - cooking, cleaning, tidying up, folding laundry, gardening, walking the dog, and more
  • Record in your own home, yard, garage, or workspace
  • Follow short recording guidelines per session
  • Upload videos through the project app

Requirements

  • Equipment: Own or use a smartphone or alternative camera device capable of 30 FPS or greater and 1080p resolution or greater. iPhone 12 or newer, Google Pixel 6+, or Samsung Galaxy S21+ (must have a wide-angle / 0.5x lens)
  • Capture method: Mount the device at forehead or eye-level for an egocentric perspective, maintaining a downward angle to maximize hand visibility.
  • Software: Utilize the designated "D&A" application for all data capture and upload.
  • Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts useful, intentional tasks without unnecessary pauses or contrived movements.

Why is this freelance opportunity a great fit for you?

Earn while you do your household chores: up to $10 per hour equivalent depending on the project

This is project-based freelance work - pick up recording sessions when they fit your schedule

Influence the future of how AI and robots understand and interact with the real world

Apply