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Vision Labeling Jobs (NOW HIRING)

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

🚀 Data Labeling Specialist - AI & Robotics 💡 No prior experience required -- All training ... Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance ...

Teleflex

Labeling Coordinator 3

Morrisville, NC · On-site

Through our vision to become the most trusted partner in healthcare, we offer a diverse portfolio ... Manage Labeling data collection activities and provide requested reports. Maintain labeling project ...

Teleflex

Labeling Coordinator 3

Maple Grove, MN

$54.20K - $81.30K/yr

Through our vision to become the most trusted partner in healthcare, we offer a diverse portfolio ... Manage Labeling data collection activities and provide requested reports. Maintain labeling project ...

Teleflex

Labeling Coordinator 3

Maple Grove, MN · On-site

$54.20K - $81.30K/yr

Through our vision to become the most trusted partner in healthcare, we offer a diverse portfolio ... Manage Labeling data collection activities and provide requested reports. Maintain labeling project ...

Teleflex

Labeling Coordinator 3

Morrisville, NC

Through our vision to become the most trusted partner in healthcare, we offer a diverse portfolio ... Manage Labeling data collection activities and provide requested reports. Maintain labeling project ...

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How much do vision labeling jobs pay per hour?

As of May 31, 2026, the average hourly pay for vision labeling in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vision Labeling Specialist, and why are they important?

To thrive as a Vision Labeling Specialist, you need strong attention to detail, basic computer literacy, and familiarity with image annotation concepts, often supported by a high school diploma or relevant experience. Proficiency with labeling platforms such as Labelbox, Supervisely, or CVAT, as well as understanding data annotation guidelines, is typically required. Patience, consistency, and effective communication help individuals excel in repetitive tasks and collaborate with quality assurance teams. These skills and qualities are vital to ensure the accuracy and reliability of labeled datasets used to train computer vision models.

What are the main challenges faced by vision labeling specialists, and how can they overcome them?

Vision labeling specialists often encounter challenges such as maintaining high accuracy when annotating complex images, managing repetitive tasks, and meeting tight project deadlines. To overcome these issues, it helps to stay updated on best practices, use quality control tools provided by the employer, and actively participate in team discussions to clarify ambiguous cases. Collaborating closely with machine learning engineers and team leads also ensures labels meet project requirements and helps address any uncertainties quickly.

What is vision labeling?

Vision labeling is the process of manually or automatically tagging objects, features, or attributes within images or videos. This data is essential for training computer vision models, which are used in applications like facial recognition, autonomous vehicles, and medical imaging. Vision labeling tasks can include identifying objects, outlining shapes, or classifying scenes. Accurate labeling helps improve the performance and reliability of artificial intelligence systems that rely on visual data.

What is the difference between Vision Labeling vs Data Annotation?

AspectVision LabelingData Annotation
CredentialsTypically requires basic technical skills, familiarity with labeling toolsSimilar, often requires understanding of annotation standards
Work EnvironmentData labeling platforms, remote or on-siteSame as Vision Labeling, often overlapping tools
Industry UsageUsed in AI training for computer vision tasksUsed across AI fields, including NLP and vision
Search & ComparisonFocused on visual data, images, videosBroader, includes text, audio, and visual data

Vision Labeling and Data Annotation are closely related roles in AI data preparation. Vision Labeling specifically involves tagging and categorizing visual data like images and videos, while Data Annotation encompasses a wider range of data types, including text and audio. Both roles require similar skills and tools, but Vision Labeling is specialized for computer vision projects.

More about Vision Labeling jobs
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Vision Labeling jobs near you
Infographic showing various Vision Labeling job openings in the United States as of May 2026, with employment types broken down into 5% Full Time, 77% Part Time, and 18% Contract. Highlights an 40% Physical, 20% Hybrid, and 40% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.
Labeling Work Stream Lead

Labeling Work Stream Lead

Becton, Dickinson and Company

Covington, GA • On-site

Full-time

Posted 15 days ago

BD rating

7.3

Company rating: 7.3 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

252nd of 415 rated machine equipment manufacturers

Job description

We are the people who give possibilities purpose
BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities.
Job Description
Summary:
The Labeling Work Stream Lead (WSL) will be responsible for working with a cross-functional team to develop the labeling content, complete the labeling layout, and working with the manufacturing site as necessary to release new or revised labeling. The WSL will be responsible for developing timelines for the labeling work stream within Sustaining Engineering Projects.
The WSL must have time management skills to oversee the creation, release, and implementation of Instructions for Use (IFU) [aka DFU], package labels, translations, and other relevant labeling components/processes.
The ability to work quickly but also remains extremely detail-oriented to produce accurate and compliant labeling will be key. The WSL will be able to develop, design, and release medical device product labeling with the support of cross-functional business units that comply with global regulatory requirements such as CFR 801 (US) Medical Device Labeling, ISO 15223 Medical Device Symbols, and EU-MDR (Medical Device Regulations).
Responsibilities:
  • Apply labeling procedures and processes while executing assigned tasks independently with limited oversight.
  • Produce and deliver production-ready artwork and files (PDFs, print packages, e-labeling assets), troubleshoot supplier/printer issues, and ensure accuracy in a highly regulated environment.
  • Oversee labeling content development, redlining, approvals, design completion, and implementation at manufacturing sites.
  • Collaborate with cross-functional teams (Marketing, Regulatory, R&D, Packaging, Quality, Operations) to drive alignment, approvals, and execution.
  • Develop, manage, and maintain labeling project schedules while leading workstreams from initiation through implementation.

Minimum Requirements:
  • 3+ years of work experience, displaying clear knowledge of print production and design.
  • Experienced with software applications (Adobe Creative Suite and Microsoft Office Suite including Microsoft Project and Microsoft Teams).
  • Ability to manage multiple projects simultaneously while maintaining strong analytical, verbal, and written communication skills.
  • Experience being process-oriented and demonstrates a self-starter mindset.
  • Continuously stays up to date with new production techniques and trends through research and education.

Preferred Requirements:
  • Bachelor's degree with coursework in graphic design, print production, or visual arts
  • Experience working in regulated environments (e.g., medical devices, GMP, FDA)
  • Proven ability to manage multiple concurrent projects in prior roles
  • Strong knowledge of print production processes and a background in production graphics
  • Experience designing packaging graphics for medical devices; bilingual in English and Spanish is a plus

Physical Demands:
Required to sit, talk, hear, stand, bend, reach with hands, lift or move up to 25 lbs (archive record boxes).
Vision requirements include the ability to see and interact with a computer.
At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.
For certain roles at BD, employment is contingent upon the Company's receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD's Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.
Why Join Us?
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you'll discover a culture in which you can learn, grow and thrive.
We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.
To learn more about BD visit https://bd.com/careers.
Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.
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Primary Work Location
USA GA - Covington BMD
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About BD

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BD is one of the largest global medical technology companies in the world and is advancing the world of health by improving medical discovery, diagnostics and the delivery of care. We have over 65,000 employees and a presence in virtually every country around the world to address some of the most challenging global health issues.

Industry

Medical equipment and supplies manufacturing and manufacturing

Company size

10,000+ Employees

Headquarters location

Franklin Lakes, NJ, US

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