ZipRecruiter

Log In

1

Annotation Labelling Jobs in Colorado (NOW HIRING)

University of Colorado

Research Associate

Aurora, CO · On-site

Annotate/label ocular imaging to develop artificial intelligence (AI) algorithms for image ... Review patient charts and images to assist in annotation for training and evaluating AI models.

People also search for

All JobsAnnotation Labelling JobsAnnotation Labelling Jobs in Colorado

Annotation Labelling information

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 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 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 job categories do people searching Annotation Labelling jobs in Colorado look for? The top searched job categories for Annotation Labelling jobs in Colorado are:
What cities in Colorado are hiring for Annotation Labelling jobs? Cities in Colorado with the most Annotation Labelling job openings:
Annotation Labelling jobs near you

Image process Technician

Crox Consulting Inc

Broomfield, CO • On-site

$16 - $17/hr

Contractor

Posted 11 days ago

Job description

This role involves reviewing and analyzing digital images for quality, accuracy, and compliance with established standards. You will play a key role in ensuring the integrity of image data used for applications such as mapping, navigation, AI training, and transportation systems.

Key Responsibilities:

  • Review, evaluate, and tag digital images based on company standards and guidelines.

  • Identify and correct errors, inconsistencies, or anomalies in image content.

  • Maintain high productivity and accuracy levels while working with large volumes of data.

  • Collaborate with quality assurance and data teams to ensure image integrity and proper labeling.

  • Use specialized tools and software to perform image assessments and annotations.

  • Provide feedback and documentation on recurring image issues or system improvements.

  • Meet daily/weekly production targets and performance metrics.

  • Ensure confidentiality and security of sensitive visual data.

Qualifications:

  • High school diploma or GED required; Associate's or Bachelor's degree preferred.

  • 1+ year of experience in a detail-oriented or quality assurance role, ideally in image processing or digital review.

  • Excellent attention to detail and strong visual analysis skills.

  • Comfortable using computers and learning new software tools quickly.

  • Ability to work independently and as part of a team in a fast-paced environment.

  • Strong organizational and time management skills.

Preferred Skills:

  • Experience with GIS systems, image annotation, or machine learning datasets.

  • Familiarity with transportation, navigation, or mapping platforms.

  • Basic understanding of photography, digital imagery, or computer vision is a plus.