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Full Time Image Annotation Jobs (NOW HIRING)

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

... and image data. * Modify and refine machine learning data creation, annotation, and rating ... other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA · On-site

$17 - $22/hr

... and image data. * Modify and refine machine learning data creation, annotation, and rating ... other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

Welocalize, Inc.

Data Labeling Associate

New York, NY · On-site

$17.50 - $22.75/hr

... and image data. * Modify and refine machine learning data creation, annotation, and rating ... other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

Welocalize, Inc.

Data Quality Analyst

New York, NY · On-site

... and image data. * Modify and refine machine learning data creation, annotation, and rating ... other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

Mavrx

Algorithm Test Engineer

San Francisco, CA · On-site

Develop annotation tools. Annotate some data and manage contract annotators. * Exploit ... Image processing, Machine vision, machine learning. Estimation theory. * Familiarity with various ...

Mavrx

Algorithm Test Engineer

San Francisco, CA

Develop annotation tools. Annotate some data and manage contract annotators. * Exploit ... Image processing, Machine vision, machine learning. Estimation theory. * Familiarity with various ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... image synthesis, text report mining, and more! We are currently hiring both full-time and interns ... Provide insights to data collection and annotation and collaborate with the data team for in-house ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... image synthesis, text report mining, and more! We are currently hiring both full-time and interns ... Provide insights to data collection and annotation and collaborate with the data team for in-house ...

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Full Time Image Annotation information

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$759

$2.1K

$3.1K

How much do full time image annotation jobs pay per week?

As of Jul 7, 2026, the average weekly pay for full time image annotation in the United States is $2,116.79, according to ZipRecruiter salary data. Most workers in this role earn between $1,557.69 and $2,634.62 per week, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Full Time Image Annotation position, and why are they important?

To thrive as a Full Time Image Annotation professional, you need strong attention to detail, familiarity with visual data, and typically at least a high school diploma or equivalent. Experience with annotation platforms, image labeling software, and sometimes basic knowledge of programming languages or AI concepts can be advantageous. Excellent concentration, time management, and the ability to work both independently and collaboratively are valuable soft skills. These competencies ensure accurate, consistent data labeling, which is crucial for developing reliable machine learning and AI systems.

What is a Full Time Image Annotation job?

A Full Time Image Annotation job involves labeling or tagging images to help train machine learning models. Annotators use specialized tools to draw bounding boxes, classify objects, or mark key points within images. This process improves artificial intelligence systems in areas like autonomous driving, medical imaging, and facial recognition. The role requires attention to detail, accuracy, and sometimes familiarity with specific domain guidelines. It is typically performed in-office or remotely, depending on the employer.

What types of images and annotation tasks can I expect in a Full Time Image Annotation role?

In a Full Time Image Annotation position, you may work with a broad variety of image types, including photographs, satellite images, medical scans, or video frames, depending on the project and industry. Typical annotation tasks include drawing bounding boxes, segmenting objects, labeling regions, or identifying specific features for use in machine learning datasets. Many teams work on tight deadlines and coordinate through digital platforms, so accuracy and consistency are key performance metrics. You may collaborate with quality assurance specialists and data scientists to ensure the annotated data meets required standards. Over time, proficiency in advanced annotation techniques can lead to opportunities for quality control, project management, or more technical roles within the AI data pipeline.

More about Full Time Image Annotation jobs
What cities are hiring for Full Time Image Annotation jobs? Cities with the most Full Time Image Annotation job openings:
What are the most commonly searched types of Image Annotation jobs? The most popular types of Image Annotation jobs are:
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Full Time Image Annotation jobs near you
Infographic showing various Full Time Image Annotation job openings in the United States as of July 2026, with employment types broken down into 14% Locum Tenens, 18% Full Time, 16% Part Time, 18% Contract, 32% Nights, and 2% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $110,073 per year, or $52.9 per hour.
Data Labeling Analyst

Data Labeling Analyst

Welocalize, Inc.

New York, NY

Full-time

Posted 2 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

345th of 437 rated business services

Job description

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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