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Vision Labeling Jobs (NOW HIRING)

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Senior Manager, Food Labeling

Beaverton, OR · On-site

Full-time employee benefits include medical, dental, vision, AD&D, life, 401(k) with discretionary ... The Senior Manager, Food Labeling is responsible for establishing, leading, and scaling Reser ...

Teleflex

Global Labeling Systems Lead

Morrisville, NC · On-site

Through our vision to become the most trusted partner in healthcare, we offer a diverse portfolio ... Position Summary The Global Labeling Systems Lead is responsible for sustaining and advancing all ...

Teleflex

Global Labeling Systems Lead

Morrisville, NC · On-site

Through our vision to become the most trusted partner in healthcare, we offer a diverse portfolio ... Position Summary The Global Labeling Systems Lead is responsible for sustaining and advancing all ...

Tesla

Data Labeler

Austin, TX · On-site

... labeling interface • Gain basic computer vision and machine learning knowledge to better understand how the labels are used by our learning algorithms • Make judgement calls on difficult edge ...

Reducto

Data Labeling Lead (Contract)

Using an agentic architecture to orchestrate dozens of vision and frontier models behind the scenes ... The Opportunity As Data Labeling Lead , you'll play a key role in leading and managing our in-house ...

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Vision Labeling information

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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
What cities are hiring for Vision Labeling jobs? Cities with the most Vision Labeling job openings:
What states have the most Vision Labeling jobs? States with the most job openings for Vision Labeling jobs include:
What job categories do people searching Vision Labeling jobs look for? The top searched job categories for Vision Labeling jobs are:
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 & Data Systems Specialist

AquaPhoenix Scientific LLC

Hanover, PA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Labeling & Data Systems Specialist

AquaPhoenix Scientific, located in Hanover, PA has an immediate opening for a technical and detail-oriented professional to join our Information Systems team as a Labeling & Data Systems Specialist. This role is a great opportunity for someone with experience integrating label systems with ERP platforms, working with SQL-based data systems and supporting data-driven workflows. Ideal candidates will have experience working with label design tools such as NiceLabel and Adobe InDesign, as well as basic to intermediate SQL skills and familiarity with ERP or database-driven systems used to generate and manage production and shipping labels.

AquaPhoenix Scientific is an industry leader in water testing kits, industrial equipment, and reagent manufacturing used in the commercial water treatment industry. We provide innovative one-stop options for our valued customers offering world-class customer service.

AquaPhoenix provides a work environment where your expertise is appreciated and your contributions are valued. The Labeling & Data Systems Specialist is a full-time, non-exempt position eligible for company-sponsored health and wellness benefits, overtime, bonus opportunities, and more.

Key areas of responsibilities include but not limited to:

• Produce product, shipping, customer and regulatory labels using NiceLabel and Adobe InDesign, executing daily and ad hoc print jobs with high accuracy and attention to detail.

• Validate printed output against source data to ensure accuracy of product codes, customer details, lot numbers and barcodes.

• Maintain and update NiceLabel and Adobe InDesign templates to reflect changes in products, customers, and regulations while ensuring compliance with branding, regulatory and operational standards.

• Coordinate template changes with the IT, Operations, and Quality teams to support accurate and consistent label output.

• Support automated and semi-automated label workflows, including file-based triggers and SQL-driven print jobs, while assisting with troubleshooting printer issues, label software errors, and data flow problems.

• Document label processes, data sources, and standard operating procedures to ensure consistency and support ongoing operations.

• Retrieve and validate label data from ERP, execute predefined SQL queries or stored procedures, and troubleshoot data mismatches between SQL sources and label templates to ensure accurate label generation.

• Ensure labels meet internal quality standards and external regulatory requirements while working closely with Production, Logistics, Customer Service and Information Technology teams to resolve label related issues.

• Participate in continuous improvement initiatives to enhance labeling accuracy and operational efficiency.

AquaPhoenix Scientific considers applicants with diverse backgrounds, education, and work experience; however, applicants for the Labeling & Data Systems Specialist position will typically have a combination of education and/or work experience equivalent to a minimum of a high school diploma, with at least two years’ experience in a manufacturing, distribution, or production environment supporting label generation, data-driven workflows, or related systems. A degree in Information Systems, Computer Science or a related field is preferred but not required if equivalent relevant experience can be demonstrated.

Other helpful skills and qualifications include:

• Experience with NiceLabel for label design, printing and data connections along with working knowledge of Adobe InDesign for layout-based labels or packaging artwork.

• Basic to intermediate SQL skills including reading queries, validating data, and understanding tables/fields.

• Experience with ERP or database-driven label systems, including integrating label processes with ERP platforms and supporting SQL-based label workflows.

• Familiarity with barcode standards and label compliance requirements.

• Exposure to automated label workflows or print server environments.

• Strong attention to detail and accuracy, with the ability to follow documented processes and troubleshoot issues logically.

• Comfortable working in production, warehouse, or manufacturing-adjacent environments.

• Strong communication skills with the ability to collaborate effectively with both technical and non-technical teams.

• Ability to prioritize work in a fast-paced operational setting with strong documentation and organizational skills.

At AquaPhoenix, our success is built on a flexible, collaborative, and ‘can do’ culture. We offer a supportive work culture, competitive pay, bonus opportunities and a comprehensive benefits package that includes health, dental, vision, 401(k) with a company match, paid holidays, and generous PTO. If you’re looking to grow your career with a company that values teamwork, innovation, and diverse perspectives, consider joining AquaPhoenix Scientific. We are an Equal Opportunity Employer committed to fostering an inclusive workplace. To learn more, or apply, please visit www.aquaphoenixsci.com