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Image Annotation Jobs in Utah (NOW HIRING)

Check radiographs for clarity of image, proper patient identification; correct markers used; annotation of images. Repeat radiograph when needed. * Review x-ray order for specifics including correct ...

Check radiographs for clarity of image, proper patient identification; correct markers used; annotation of images. Repeat radiograph when needed. * Review x-ray order for specifics including correct ...

Check radiographs for clarity of image, proper patient identification; correct markers used; annotation of images. Repeat radiograph when needed. * Review x-ray order for specifics including correct ...

Check radiographs for clarity of image, proper patient identification; correct markers used; annotation of images. Repeat radiograph when needed. * Review x-ray order for specifics including correct ...

Image Annotation information

See Utah salary details

$691

$1.9K

$2.9K

How much do image annotation jobs pay per week?

As of Aug 25, 2026, the average weekly pay for image annotation in Utah is $1,927.06, according to ZipRecruiter salary data. Most workers in this role earn between $1,417.31 and $2,398.08 per week, depending on experience, location, and employer.

What is an image annotation?

An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.

What are the key skills and qualifications needed to thrive in image annotation, and why are they important?

To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.

What are some common challenges faced by image annotation specialists in their daily work?

Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.

What are the most commonly searched types of Image Annotation jobs in Utah?

The most popular types of Image Annotation jobs in Utah are:

What are popular job titles related to Image Annotation jobs in Utah?

For Image Annotation jobs in Utah, the most frequently searched job titles are:

Infographic showing various Image Annotation job openings in Utah as of August 2026, with employment types broken down into 66% Full Time, 15% Part Time, and 19% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $100,207 per year, or $48.2 per hour.

Data Curation/Data Engineer (AI Quality & Evaluation)

US Tech Solutions

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Re-posted 7 days ago


Job description

Job Summary:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. They are seeking a Data Curation/Data Engineer to join their AI team and ensure the highest standards of quality, safety, and performance across AI-driven product offerings. The role involves collaborating with cross-functional teams to develop and maintain high-quality datasets and AI systems.
Responsibilities:
• Architect and implement frameworks to enforce AI quality, safety, and evaluation standards.
• Design and maintain scalable data pipelines for data ingestion, curation, annotation, and validation.
• Develop comprehensive evaluation methodologies and datasets to measure model accuracy, safety, and performance.
• Test, refine, and optimize ML models for both edge devices and cloud environments.
• Partner closely with embedded, app, platform, QA, product, and UX teams to deploy AI solutions at scale.
• Monitor production AI systems, analyze performance metrics, and drive continuous improvement.
• Establish best practices for data governance, reproducibility, and model lifecycle management.
Qualifications:
Required:
• 3–5 years of relevant experience in AI/ML, data engineering, model evaluation, or AI quality engineering.
• Strong analytical and problem-solving skills.
• Data structures, data curation, annotation workflows, and dataset lifecycle management.
• Model training, fine-tuning, and evaluation.
• LLM and Generative AI training/evaluation.
• Computer vision training, validation, and deployment.
• Transformers, LLMs, Vision-Language Models (VLM), and knowledge graphs.
• Classification, object detection, segmentation, tracking, recognition, Re-ID, pose estimation, and vector embeddings.
• Model compression techniques.
• Image, audio, radar, and signal processing.
• Advanced proficiency in Python.
• Shell scripting.
• C++ and/or Rust.
• Embedded Linux environments.
• Git version control.
• Experience working with secure, scalable, high-availability, low-latency, and distributed systems.
• Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field.
Company:
US Tech Solutions counted among the largest yet the fastest growing staffing firm; all achieved organically. Founded in 2000, the company is headquartered in Toronto, CAN, with a team of 1001-5000 employees. The company is currently Late Stage.

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About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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