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Vision Labeling Jobs in Pennsylvania (NOW HIRING)

Multi-Color Corporation

Packer, 2nd shift and 3rd Shift

York, PA · On-site

$14.75 - $17.75/hr

... vision, depth perception, and the ability to adjust focus. For over a century, Multi-Color Corporation (MCC) has crafted premium labels for the world's most iconic and recognizable brands. Our labels ...

Jushi

Packaging Lead

Scranton, PA · On-site

Must be comfortable operating and troubleshooting label printing equipment. WHAT WE HAVE TO OFFER OUR EMPLOYEES AT JUSHI We offer benefit packages that may include Medical, Dental, Vision, Life ...

Multi-Color Corporation

$16 - $19/hr

... vision, peripheral vision, depth perception and ability to adjust focus. #APPCAST For over a century, Multi-Color Corporation (MCC) has crafted premium labels for the world's most iconic and ...

Imler's Poultry

Night Shift Warehouse

Duncansville, PA · On-site

$17.50 - $18/hr

... selected - Attach labels to corresponding items being ordered for proper loading onto truck ... Vision insurance Schedule: * 10 hour shift * 8 hour shift Salary Description 17.50-18.00

Multi-Color Corporation

$17 - $22.75/hr

... label testing relative to established specifications. Why work at MCC: * Generous benefits package including medical, dental, vision, disability, life insurance and 401(k) * Paid Holidays: New Years ...

Multi-Color Corporation

$15.50 - $20.50/hr

Build your Career with an Industry Leader As the global leader of premium labels, MCC helps brands ... Generous benefits package including medical, dental, vision, disability, life insurance and 401(k)

Alpla

Packaging Operator-Day/Night

Bethlehem, PA · On-site

$16.75 - $20.25/hr

Medical, dental, vision plan * Education assistance program/tuition reimbursement * Short term ... Accurately following all labeling procedures * Quality checks Education/Experience: * High school ...

Alpla

Packaging Operator-Nights

Bethlehem, PA · On-site

$16.75 - $20.25/hr

Medical, dental, vision plan * Education assistance program/tuition reimbursement * Short term ... Accurately following all labeling procedures * Quality checks Education/Experience: * High school ...

Jushi

Processing Technician

Scranton, PA · On-site

$19.70/hr

Accurate weighing and labeling of biomass on racks and storage bins * Perform drying and curing ... Hearing and vision within normal ranges are essential for normal conversations, to receive ordinary ...

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Vision Labeling information

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 are the key skills and qualifications needed to thrive as a vision labeling specialist?

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 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.

What are popular job titles related to Vision Labeling jobs in Pennsylvania?

For Vision Labeling jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Vision Labeling jobs in Pennsylvania look for?

The top searched job categories for Vision Labeling jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Vision Labeling jobs?

Cities in Pennsylvania with the most Vision Labeling job openings:

Vision Labeling jobs near you

Senior Software Engineer, Auto Labelling

Waabi

Pittsburgh, PA • On-site, Remote

$170K - $220K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.
Qualifications:
- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
- 3+ years of experience developing solutions in ML systems or the ML software stack.
- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.
- Open-minded and collaborative team player with the willingness to help others.
 
Bonus/nice to have:
- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
- Experience working with large Vision-Language Models (VLMs)
The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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.
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