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Data Annotation Ai Trainer Jobs in Rochester, NY

Physician - AI Trainer

Rochester, NY ยท Remote

$50 - $60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Give AI chatbots diverse and complex healthcare-related problems and evaluate their outputs

Phlebotomists - AI Trainer

Rochester, NY ยท Remote

$50 - $60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Give AI chatbots diverse and complex healthcare-related problems and evaluate their outputs

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 ...

SDLC Engineer - AI Trainer

Rochester, NY ยท Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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 ...

RN - AI Trainer

Rochester, NY ยท Remote

$50 - $60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Give AI chatbots diverse and complex healthcare-related problems and evaluate their outputs

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Data Annotation Ai Trainer information

See Rochester, NY salary details

$13

$24

$35

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

As of Jun 28, 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.

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.

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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:
Infographic showing various Data Annotation Ai Trainer job openings in Rochester, NY as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $50,767 per year, or $24.4 per hour.