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Full Time Image Annotation Jobs (NOW HIRING)

Baptist Health

Vascular Sonographer I

Birmingham, AL · On-site

Sonographer I Heart South - 1022 North 1st Street, Suite 500, Alabaster, AL 35007 Full-Time | Day ... Assess image quality, ensure proper annotation, and verify patient identification * Work ...

Baptist Health

Vascular Sonographer I

Birmingham, AL · On-site

... 35007 Full-Time | Day Shift Position Summary Heart South is seeking a skilled Echo / Vascular ... Assess image quality, ensure proper annotation, and verify patient identification * Work ...

Ainsworth

Engineering Draftsman

Monroe, NJ

We have an opening for a full-time, Building Automation Controls Engineering Draftsman at our NY/NJ ... Manage the acquisition and annotation of submittal cut sheets. * Develop startup forms and complete ...

Ainsworth

Engineering Draftsman

Monroe, NJ

We have an opening for a full-time, Building Automation Controls Engineering Draftsman at our NY/NJ ... Manage the acquisition and annotation of submittal cut sheets. * Develop startup forms and complete ...

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All JobsImage Annotation JobsFull Time Image Annotation Jobs

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.
Machine Learning Engineer - Computer Vision & NLP

Machine Learning Engineer - Computer Vision & NLP

Voxelcloud

Los Angeles, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

Company Description

Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images.  Backed by Sequoia and Tencent.  We help healthcare providers make better/earlier diagnoses and other clinical decisions.  http://www.voxelcloud.ai

Job Description

The R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learning tailored to the needs of the product lines (Thorax/Retina/Cardio/Skin). We are currently hiring a full-time engineer to join our model team.

Responsibilities:

  • Develop deep learning models for prototyping and production purposes according to product feature request
  • Design, implement and test model experiments using major deep learning frameworks
  • Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
  • Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
  • Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
  • Conduct methodology research in deep learning to drive scalable, real-time implementation
Qualifications

Basic Qualifications

  • MS degree in computer science, engineering, or mathematics
  • 1+ years of relevant experience in building deep learning solutions for computer vision problems
  • 1+ years of relevant experience in building deep learning solutions for NLP problems
  • Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
  • Proficient in Python
  • Good CS fundamentals in data structures and algorithm
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
  • Work well in teams and communicate ideas clearly

Preferred Qualifications

  • PhD degree in computer science, engineering, or mathematics
  • 3+ years of relevant experience in building deep learning solutions for computer vision problems
  • 2+ years of relevant experience in building deep learning solutions for NLP problems
  • Hands-on experience with Transformers, Bert, and other advanced NLP models
  • Hands-on experience with state-of-the-art object detection, semantic segmentation, and image classification models
  • Track record of publications in CV and NLP is a plus
  • Hands-on experience with model optimization (e.g., network quantization and half-precision training) is a plus
  • Prior experience with medial images is a plus
  • Prior experience with medial report mining is a BIG plus
Additional Information

We Offer...   

  • An outstanding start-up culture;  
  • Transparent, collaborative work environment; 
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.

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