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Vision Labeling Jobs (NOW HIRING)

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable) • Stocked Micro ...

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable) • Stocked Micro ...

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable) • Stocked Micro ...

Data Labeling Specialist We are seeking a detail-oriented Data Labeling Specialist to join our ... Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance ...

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable) • Stocked Micro ...

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable) • Stocked Micro ...

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable) • Stocked Micro ...

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable) • Stocked Micro ...

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Engineer - Perception & 3D Type: Temporary Duration: 6-12 months What You'll Gain ... Help shape labeling schemas and class taxonomies as edge cases arise * Run baseline YOLO training ...

Labeling Line Operator (Second Shift)

Ripon, WI · On-site

$17 - $20.75/hr

Seneca Foods offers an excellent benefit package including medical, dental, vision, life insurance, 401K, paid time off and much more! Help us make our Farm Fresh Goodness Great! The Labeling Line ...

Data Labeling Specialist We are seeking a detail-oriented Data Labeling Specialist to join our ... Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance ...

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Vision Labeling information

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How much do vision labeling jobs pay per hour?

As of Jul 14, 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 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.

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 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.
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:
Infographic showing various Vision Labeling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.
Data Labeling Associate

Data Labeling Associate

Welo Data

New York, NY • On-site

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• Execute Data labelling and annotation tasks across speech and voice datasets.
• Work with audio and language data, including transcription, categorization, and tagging.
YOU ARE A FIT IF YOU’RE…
• A English with Dialect from (Australian, United Kingdom and Canadian) speaker with strong written communication skills
• Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred)
• A Bachelor's degree holder
PROJECT DETAILS
• Location: 100% Onsite (Bay Area, Seattle, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $34 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.