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Cvat Annotation Jobs (NOW HIRING)

Training Solutions Intern

Orlando, FL · On-site

$14 - $18.75/hr

Prior experience with image annotation platforms (e.g., CVAT, Labelbox, Scale AI, Roboflow). * Background in computer science, data science, cognitive science, or related discipline. * Familiarity ...

Training Solutions Intern

Orlando, FL · On-site

$14 - $18.75/hr

Prior experience with image annotation platforms (e.g., CVAT, Labelbox, Scale AI, Roboflow). * Background in computer science, data science, cognitive science, or related discipline. * Familiarity ...

Training Solutions Intern

Orlando, FL · On-site

$14 - $18.75/hr

Prior experience with image annotation platforms (e.g., CVAT, Labelbox, Scale AI, Roboflow). * Background in computer science, data science, cognitive science, or related discipline. * Familiarity ...

... annotation tools such as SuperAnnotate, Labelbox, CVAT, or similar Understanding of AI/ML regulatory guidance (e.g., FDA Good Machine Learning Practice) Additional Information Due to the nature of ...

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Cvat Annotation information

See salary details

$45K

$58.4K

$97.5K

How much do cvat annotation jobs pay per year?

As of Jul 2, 2026, the average yearly pay for cvat annotation in the United States is $58,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $58,000.00 per year, depending on experience, location, and employer.

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

To thrive as a CVAT Annotation specialist, you need keen attention to detail, familiarity with data labeling concepts, and a solid understanding of image and video annotation techniques. Experience with CVAT (Computer Vision Annotation Tool) or similar annotation platforms is essential, and knowledge of basic computer vision or machine learning principles can be beneficial. Strong organizational skills, patience, and the ability to work both independently and collaboratively help set top performers apart. These skills ensure high-quality, accurate annotations that are crucial for training effective AI and machine learning models.

What are the typical day-to-day responsibilities for someone in a CVAT Annotation role?

As a CVAT Annotation professional, your daily tasks generally include reviewing and labeling large volumes of images or videos using the CVAT platform, ensuring precise and consistent annotations according to project guidelines. You may also be responsible for double-checking the accuracy of your labels, collaborating with data scientists or project managers to clarify requirements, and providing feedback to improve annotation processes. Depending on the project's complexity, you might handle multiple data types or contribute to developing new labeling standards. This work is usually part of a team environment, where clear communication and quality control are highly valued. Successfully handling these responsibilities helps create reliable datasets for computer vision projects and AI systems.

What is a Cvat Annotation job?

A CVAT annotation job involves labeling images or videos using the Computer Vision Annotation Tool (CVAT) to create datasets for machine learning models. Annotators draw bounding boxes, polygons, or other shapes around objects of interest to help train AI systems in tasks like object detection, segmentation, and classification. This job requires attention to detail, familiarity with annotation guidelines, and sometimes domain-specific knowledge depending on the project.

What cities are hiring for Cvat Annotation jobs? Cities with the most Cvat Annotation job openings:
What are the most commonly searched types of Cvat Annotation jobs? The most popular types of Cvat Annotation jobs are:
What states have the most Cvat Annotation jobs? States with the most job openings for Cvat Annotation jobs include:
Infographic showing various Cvat Annotation job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,415 per year, or $28.1 per hour.
Software Engineer (ML Data & Annotation Pipelines)

Software Engineer (ML Data & Annotation Pipelines)

Diversified Services Network, Inc.

Mossville, IL

$83K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Diversified Services Network, Inc. (DSN) is seeking a full-time Software Engineer - ML Data & Annotation Pipelines to join our team fully onsite in Mossville, IL! We offer full benefits, PTO, 401k, and more! If you are a Python-savvy engineer excited about building software tools that support autonomous vehicle machine learning workflows, improving user experiences, and leveraging modern AI-assisted development practices within an extremely reputable, stable Fortune 500 company - let's talk!

Position Overview

We are seeking a Software Engineer to join our Annotation Team, fully on-site in Mossville, IL. This is a new addition to the team, offering hands-on exposure to the full annotation workflow for autonomous vehicles, from raw sensor data (rosbags) through 2D/3D labeling and machine learning dataset preparation.

You will primarily develop and enhance tooling used by teams creating training data for autonomous vehicle machine learning systems. Success in this role requires strong Python development skills combined with the ability to design intuitive user experiences, understand how end users interact with software, and proactively identify improvements that increase efficiency and usability. You will work across the stack, contributing to Python backend development, browser-based UI enhancements, annotation workflow improvements, and integrations between internal tools and machine learning data pipelines.

This role is ideal for a software engineer who enjoys building tools for other users and is passionate about creating intuitive, efficient experiences that improve how teams work.

Key Contributions & Responsibilities
  • Integrate the rosbag-to-COCO conversion pipeline into existing workflows.
  • Implement 2D 3D projection mapping to integrate the auto-annotation pipeline.
  • Maintain and enhance the UI/UX for viewing 2D/3D annotations in CVAT (Computer Vision Annotation Tool).
  • Support model updates to the annotation pipeline, including the ability to swap out models as needed.
  • Build and maintain CI/CD infrastructure; work with data in AWS using push/pull workflows.
  • Add and update APIs to query from the CVAT REST API.
  • Collaborate via GitHub - creating pull requests, participating in code reviews, and writing design documentation.
  • Design and implement features that improve the efficiency, usability, and overall user experience of the annotation platform.
  • Partner with annotation users to understand workflows, gather feedback, and translate requirements into practical software solutions.
  • Anticipate user needs and identify opportunities to improve tooling before requirements are explicitly requested.
Team Structure & Work Environment
  • Your primary team consists of 8 individuals (1 Lead and 7 Developers); the project also involves collaborative development with 2 additional resources from another team. You will attend Annotation Team standups every other day, a weekly CVAT Team meeting, and project-related meetings as needed, with the remainder of your time dedicated to development.
  • Work involves a mix of independent feature development and paired code reviews, with regular collaboration through GitHub PRs, design doc discussions, and in-person or remote meetings. 

Requirements

Education & Experience
  • 2-4 years of relevant experience required. Bachelor's degree required.
Top 3 Skills
  • Python - core language for application development, workflow automation, platform enhancements, and integration work.
  • User-centered software development - ability to understand how users interact with tools and translate requirements into intuitive, efficient workflows.
  • Agentic coding best practices - experience leveraging AI-assisted development tools to accelerate software delivery, iteration, and problem solving.
Required Technical Skills
  • Python development experience.
  • Experience with annotation workflows, machine learning data pipelines, or adjacent software platforms supporting ML development.
  • Proficiency with Git/GitHub, including pull requests, code reviews, and branching workflows.
  • Experience developing user-facing applications, interfaces, dashboards, or internal productivity tools.
  • Ability to gather user requirements and translate them into functional software solutions.
Desired Technical Skills
  • JavaScript development experience.
  • Experience with CVAT or similar annotation tools.
  • Familiarity with ROS/rosbag data formats and knowledge of the COCO dataset format.
  • Experience with 3D object detection, image processing, computer vision workflows, or related technologies.
  • Experience building tools used by technical end users.
  • Familiarity with coordinate transforms (e.g., 2D 3D projection).
  • Experience working with image visualization, image processing, or annotation-related applications.
  • AWS, Docker, API development, and CI/CD experience.
Required Soft Skills
  • Strong communication and product-thinking skills - able to understand user workflows, gather requirements, anticipate future needs, and translate feedback into practical software solutions.
  • Self-motivated and able to work independently with minimal supervision.
  • Collaborative mindset - comfortable working in small teams, giving and receiving code review feedback.
  • Problem-solving orientation - able to debug complex software and pipeline issues and propose creative solutions.
Desired Soft Skills
  • Comfort presenting technical concepts to non-technical stakeholders.
  • Proactive in identifying process improvements and suggesting enhancements.
  • Ability to see a solution beyond communicated requirements - focusing on how it will be used rather than simply whether it met requirements.

Benefits

  • 401(k)
  • Dental insurance
  • Vision Insurance
  • Disability insurance
  • Employee assistance program
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Paid Holidays

Please follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! https://www.dsnworldwide.com

Compensation: $98,000 - $103,000 per year