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Data Annotation Jobs in Sun Prairie, WI (NOW HIRING)

DevOps Lead

Madison, WI · On-site

$53.25 - $72.75/hr

Job Summary : Georgia IT, Inc. is seeking a DevOps Lead to oversee and manage DevOps practices within the organization. The role involves working with various teams to implement Continuous

Data Annotation information

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What job categories do people searching Data Annotation jobs in Sun Prairie, WI look for?

The top searched job categories for Data Annotation jobs in Sun Prairie, WI are:

What cities near Sun Prairie, WI are hiring for Data Annotation jobs?

Cities near Sun Prairie, WI with the most Data Annotation job openings:

Infographic showing various Data Annotation job openings in Sun Prairie, WI as of August 2026, with employment types broken down into 62% Full Time, 23% Part Time, and 15% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

Mobile App Developer (Seasonal)

Fort Atkinson, WI • On-site

$30 - $55/hr

Temporary

Posted 2 days ago

New


Job description

Duties & Responsibilities:
  • Build a functional prototype of a mobile warehouse utility app designed to instantly count stacked warehouse supplies using ondevice artificial intelligence.
  • Train a lightweight, commercially viable custom object detection model (using frameworks like YOLOv8, YOLOv11, YOLONAS, or YOLOX) to recognize pallets, top frames, and layer pads across varying lighting conditions and angles.
  • Prepare and organize data by setting up a lightweight annotating workflow (e.g., Roboflow or CVAT) to label a dataset of 300500 images of inventory.
  • Export and optimize the trained model (via CoreML or TensorFlow Lite) to ensure it can run locally and offline inside the mobile application.
  • Build a simple, clean user interface (UI) that integrates the model to display realtime counting overlays and bounding boxes on a live camera feed or uploaded photo.
  • Cowork directly with one of the company owners to develop, iterate, and test the prototype.
  • Skills and Knowledge preferred:
  • Solid foundations and strong skills in Python for training pipelines.
  • Experience with computer vision libraries (OpenCV, PyTorch, or TensorFlow) and 1+ years of experience working with the YOLO architecture.
  • Proven experience embedding machine learning models onto edge devices, with knowledge of leveraging hardware acceleration (Apple Neural Engine, GPU) highly preferred.
  • Proficiency in mobile frameworks (Dart/Flutter, JavaScript/React Native, Swift, or Kotlin).
  • Familiarity with data annotation, augmentation, and model optimization.
  • Job Requirements:
  • Authorization to work within the United States.
  • A problem solver capable of working independently and researching deployment bugs.
  • Candidates must provide a portfolio or GitHub link demonstrating past projects where an object detection model was successfully trained and deployed to production or an edge device (webcam, phone, Raspberry Pi, etc.)
  • Compensation & Hours:

    Start Date: Available immediately.

    Temporary Part-Time Contract or Paid Internship (estimated 4 to 8 weeks).

    We are seeking applicants based in southern Wisconsin who are available for frequent onsite collaboration. This role requires regular travel between our Madison office for team co-working and our Fort Atkinson facility for hands-on prototype testing. Ideal candidates must reside within a reasonable commuting distance to both locations.

    Hourly Wage: $30/hour.

    Completion Bonus: A $5,000 bonus (based off completion)