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Annotation Labelling Jobs in Iowa (NOW HIRING)

As a Data Labeler you will be working hand in hand with exocad's AI team by helping them on the ... Document special cases as well as findings during the annotation process * Proven experience in the ...

New

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Senior AI/ML Engineer

Des Moines, IA · On-site +1

$102K - $140K/yr

Apply ML to labeling itself Collaborate with ML engineers to design and integrate ML-driven data annotation (pre-labeling, autolabeling, active learning loops), helping us move from human-only to ...

Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Iowa? For Annotation Labelling jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Annotation Labelling jobs? Cities in Iowa with the most Annotation Labelling job openings:

Full-time

Posted yesterday


Job description

As a Data Labeler you will be working hand in hand with exocad's AI team by helping them on the creation of annotated dental datasets, consisting on a set 3D scans and 2D images where different dental elements and pathologies are annotated/labeled, always ensuring high data quality and data integrity. Those datasets will be used to create the latest AI technologies for the dental industry.
  • Use DentalCAD 3D software on a regular basis.
  • Learn from firsthand how AI works and participate in the data processing pipeline.
  • Learn about Data privacy in the health industry.
  • Assist the AI team on the creation of different datasets.
  • Perform quality control to ensure high data quality and data integrity.
  • Improve labeling workflow in close collaboration with the development teams.
  • Test DentalCAD new builds ensuring optimal functioning of the labeling tool.
  • Document special cases as well as findings during the annotation process

  • Proven experience in the field of dentistry
  • Spoken English
  • Professional experience with 3D software.
  • Excellent time management
  • Passion for technology

Why is this position attractive?

  • You will work at the intersection of dentistry, AI, and 3D technology.
  • You will be part of an international and innovative team.
  • You will learn how real AI systems are developed in the healthcare sector.
  • You will have a direct impact on the future of digital dentistry.