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Image Annotator information

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$875

$1.7K

$2.4K

How much do image annotator jobs pay per week?

As of Jun 6, 2026, the average weekly pay for image annotator in the United States is $1,685.85, according to ZipRecruiter salary data. Most workers in this role earn between $1,423.08 and $1,894.23 per week, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Image Annotator, and why are they important?

To thrive as an Image Annotator, you need strong attention to detail, visual accuracy, and a basic understanding of image processing, often supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or VIA, and experience with data labeling platforms are typically required. Excellent time management, consistency, and the ability to follow detailed instructions set top candidates apart. These skills ensure high-quality, reliable datasets that are critical for training accurate machine learning and computer vision models.

What are some common challenges faced by Image Annotators, and how can they be managed?

Image Annotators often encounter challenges such as maintaining high accuracy while labeling large volumes of data, handling ambiguous or low-quality images, and managing repetitive tasks that can lead to fatigue. To address these, many teams implement quality control processes, such as peer reviews or double-checking annotations, and provide regular training on updated guidelines. Taking scheduled breaks and using ergonomic tools can also help reduce fatigue and maintain focus throughout the workday.

What are Image Annotators?

Image Annotators are professionals who label, tag, or categorize images to provide relevant data for machine learning and artificial intelligence systems. They use specialized tools to identify objects, regions, or features within images, ensuring that algorithms can learn to recognize and interpret visual information accurately. Image annotators play a critical role in industries like autonomous vehicles, healthcare, agriculture, and e-commerce, where annotated images are used to train computer vision models.

What is the difference between Image Annotator vs Data Labeler?

AspectImage AnnotatorData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageAI, machine learning, computer visionData management, AI training datasets
Search & Comparison IntentUnderstanding roles in AI data preparationSimilar data annotation tasks for machine learning

While both roles involve working with data to support AI and machine learning, an Image Annotator specifically focuses on labeling images with bounding boxes, tags, or segmentation masks. A Data Labeler may work with various data types, including images, text, or audio, but often has a broader scope. The Image Annotator role is more specialized in visual data, whereas Data Labelers may handle multiple data formats depending on project needs.

More about Image Annotator jobs
What are the most commonly searched types of Image Annotator jobs? The most popular types of Image Annotator jobs are:
What job categories do people searching Image Annotator jobs look for? The top searched job categories for Image Annotator jobs are:
Image Annotator jobs near you
Infographic showing various Image Annotator job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $87,664 per year, or $42.1 per hour.
Spanish Data Annotator Specialist (Based in NY)

Spanish Data Annotator Specialist (Based in NY)

Welo Data

Jacksonville, FL

$28/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

Job description

OVERVIEW

We are seeking a QA Analyst - Data Annotation Specialist to contribute to a high-profile technology project. The ideal candidate will have a foundational understanding of quality assurance, data annotation, and data handling. Additionally, they must be fully proficient in English (U.S.) and Spanish (Spain) and possess excellent communication skills. They will play a pivotal role in ensuring the quality and accuracy of the project data.

Project Details

Job Title: QA Analyst - Data Annotation Specialist

Location: On-site at one of our offices office in South Bay, CA (Menlo Park or Sunnyvale)

Hours: 40 hours weekly

Language: Spanish (Spain)

Start date: Mid-January 2025

Employment Type: W-2 Contract

Duration: At least 12 months (with potential for extension)

Pay rate: $28/Hour

Must have valid work authorization in the US (We do not sponsor VISAs at this time)

Responsibilities

    • Conduct data annotation and QA
    • Collaborate with team members on-site
    • Ensure secure handling of data and maintain confidentiality

Requirements

    • Proficiency in English (US) and Spanish (Spain) at a fully fluent level is required.
    • At least 1-2 years of data annotation experience
    • Visual annotation experience is a plus (Video & Image)
    • Experience in quality assurance
    • Excellent communication skills
    • Augmented Reality experience is a plus
    • No technical skills needed, but a linguistic background and/or formal QA experience is required
    • Ability to work 100% on-site
    • Strong attention to detail and problem-solving skills

Benefits

    • Paid Sick Time
    • Employee Assistance Program  
    • Following eligibility requirements: Medical Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Voluntary Life Insurance
    • Accident, Critical Illness, Hospital Indemnity Insurance
    • 401(k) Retirement Plan

$28 - $28 an hour

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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.