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Data Labelling Jobs in Rochester, NY (NOW HIRING)

Maco Bag

Contract Packer - A Shift

Newark, NY · On-site

$16.50 - $20/hr

Verify labels for accuracy and ensure boxes are appropriately sealed. * Stack cartons on skids ... data. * Strong attention to detail and organizational skills. * Ability to identify and resolve ...

Maco Bag

Contract Packer - A Shift

Newark, NY

$16.50 - $20/hr

Verify labels for accuracy and ensure boxes are appropriately sealed. * Stack cartons on skids ... data. * Strong attention to detail and organizational skills. * Ability to identify and resolve ...

The Fountain Group

File Clerk

Rochester, NY · On-site

$20/hr

... and labeling digital records, performing quality checks, maintaining document archives, and ... Data entry for document records * Quality control of scanned documents * Records retention and file ...

MotionSavvy

ASL Signer

Rochester, NY · On-site

$7.0K/mo

... labels to regions of interest in a video playback of the individuals recording. Peer review other ... Abillity to work in a tightly controlled data collection program Ability to work in an fast paced ...

Motionsavvy

ASL Signer

Rochester, NY · On-site

$7.0K/mo

Adding Annotations to the above mentioned samples Annotations are descriptive labels to regions of ... Abillity to work in a tightly controlled data collection program * Ability to work in an fast paced ...

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All JobsData Labelling JobsData Labelling Jobs in Rochester, NY

Data Labelling information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do data labelling jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data labelling in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 per year, depending on experience, location, and employer.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the data labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools and understand the specific data types you'll work with, such as images, text, or audio. Building attention to detail and basic knowledge of machine learning concepts can improve your effectiveness; some roles may require basic computer skills or certifications. Entry-level positions often offer flexible schedules and remote work options.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some may earn higher rates with specialized skills or certifications, especially for complex data annotation tasks involving images, videos, or audio. Pay can vary based on whether the work is freelance, part-time, or full-time, and some roles offer project-based or hourly compensation.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and they are often performed remotely with flexible schedules.

What are popular job titles related to Data Labelling jobs in Rochester, NY?

For Data Labelling jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Data Labelling jobs in Rochester, NY look for?

The top searched job categories for Data Labelling jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Data Labelling jobs?

Cities near Rochester, NY with the most Data Labelling job openings:

Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Rochester, NY as of September 2026, with employment types broken down into 70% Full Time, 10% Temporary, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $162,818 per year, or $78.3 per hour.

Specimen Management Tech - Rochester General Hospital (Full-Time, Days)

Irondequoit, NY

Rochester Regional Health
Hospitals • 10K+ employees
Learn more about Rochester Regional Healthexternal

$18.75 - $20/hr

Full-time

Posted 12 days ago

Rochester Regional Health rating

7.3

Company rating: 7.3 out of 10

Based on 221 frontline employees who took The Breakroom Quiz

305th of 898 rated healthcare providers

Job description

Job Title: Specimen Management Tech
Department: Laboratory - Specimen Processing
Location:Rochester General Hospital | 1425 Portland Ave. Rochester, NY 14621
Hours Per Week: 40
Schedule: 8-hour shifts, 10:00a - 6:30p, weekends and holidays as needed

SUMMARY

The Specimen Management Tech assures accurate patient registration, data entry of testing orders and billing information of all lab specimens into the hospital, pathology and/or lab computer system/s, prepares samples for testing, sorts, and triages samples appropriately.

RESPONSIBILITIES

  • Performs data entry and labeling of laboratory samples accurately and timely.

  • Prepares laboratory samples accurately and timely for laboratory testing.

  • May be asked to operate imaging system as appropriate and be able to retrieve requisitions as requested or may maintain a manual filing system for outpatient/inpatient requisitions.

  • Maintains knowledge and competency of HIS and LIS computer systems and has knowledge of many areas of the department. Has a working knowledge of common operating systems and navigates through them appropriately.

  • May perform limited training as requested.

  • Communicates effectively with floors and physicians regarding laboratory testing, results, sample requirements and issues with improper labeling of specimens.

  • May transport specimens to department. May prepare specimens and paperwork accurately for transfer and testing done in other departments or reference labs.

  • For Medical Technology Student Intern only: Performance of simple laboratory procedures (none requiring interpretation or resulting) under the direction of licensed staff.

  • Performs other duties as assigned.

PREFERRED QUALIFICATIONS:

  • Must possess skills and the ability to understand written instruction and receive and transmit information correctly.

  • Data entry/computer skills.

  • Medical terminology and understanding of billing issues preferred.

  • For Medical Technology Student Intern only: Enrollment in a Program of Medical Technology.

EDUCATION:

LICENSES / CERTIFICATIONS:

PHYSICAL REQUIREMENTS:

M - Medium Work - Exerting 20 to 50 pounds of force occasionally, and/or 10 to 25 pounds of force frequently, and/or greater than negligible up to 10 pounds of force constantly to move objects; Requires frequent walking, standing or squatting.

For disease specific care programs refer to the program specific requirements of the department for further specifications on experience and educational expectations, including continuing education requirements.

Any physical requirements reported by a prospective employee and/or employee's physician or delegate will be considered for accommodations.

PAY RANGE:

$18.75 - $20.00

CITY:

Rochester

POSTAL CODE:

14621

The listed base pay range is a good faith representation of current potential base pay for a successful full time applicant. It may be modified in the future and eligible for additional pay components. Pay is determined by factors including experience, relevant qualifications, specialty, internal equity, location, and contracts.

Rochester Regional Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, predisposing genetic characteristics, marital or familial status, military or veteran status, citizenship or immigration status, or any other characteristic protected by federal, state, or local law.

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