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Annotation Jobs in Colorado (NOW HIRING)

University of Colorado

Temporary Researcher

Boulder, CO · On-site

This position offers hands-on experience in data handling and processing, behavioral data annotation, participant-facing research, and it provides exciting learning opportunities by being part of an ...

Kahuna USA LLC

P&ID, Designer III

Broomfield, CO · On-site

$25 - $35/hr

P&ID and piping annotation; able to implement redlines per Kahuna standards, identify errors, and generate walkdown-based P&IDs with minimal guidance. * Basic 3D modeling using CADWorx Plant ® (or ...

Kahuna USA LLC

P&ID, Designer III

Broomfield, CO · On-site

$25 - $35/hr

P&ID and piping annotation; able to implement redlines per Kahuna standards, identify errors, and generate walkdown-based P&IDs with minimal guidance. * Basic 3D modeling using CADWorx Plant ® (or ...

ERL LLC

DEN Project Engineer

Denver, CO · On-site

Documentation includes detailed spreadsheets for project tracking, and annotation of site progress and issues with corrective actions. Additional responsibilities include drawing and specification ...

S. A. Miro, Inc.

BIM Specialist II

Denver, CO · On-site

Initiative in becoming capable of developing the project Revit model and preparation of project documents including plans, sections, details, schedules, notes and all forms of document annotation.

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All JobsAnnotation JobsAnnotation Jobs in Colorado

Annotation information

See Colorado salary details

$47.3K

$61.4K

$102.5K

How much do annotation jobs pay per year?

As of Aug 28, 2026, the average yearly pay for annotation in Colorado is $61,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $61,000.00 per year, depending on experience, location, and employer.

What is an annotation?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What are the typical projects or tasks an annotation specialist works on?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

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

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

What are annotation jobs?

Annotation jobs involve labeling or tagging data, such as images, text, or audio, to help train machine learning models. These roles often require attention to detail and familiarity with annotation tools or software, and they are commonly performed remotely or in a digital environment.

What skills are needed for annotation?

Annotation jobs require strong attention to detail, good reading comprehension, and the ability to follow specific guidelines. Familiarity with data labeling tools and basic computer skills are also important. Accuracy and consistency are essential for producing high-quality annotated data.

What are popular job titles related to Annotation jobs in Colorado?

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

What job categories do people searching Annotation jobs in Colorado look for?

The top searched job categories for Annotation jobs in Colorado are:

Annotation jobs near you
Infographic showing various Annotation job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 46% Full Time, 50% Part Time, and 3% Contract. Highlights an 47% Physical, 1% Hybrid, and 52% Remote job distribution, with an average salary of $61,424 per year, or $29.5 per hour.

Temporary Researcher

Boulder, CO • On-site

University of Colorado
Colleges, Universities, and Professional Schools • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

153rd of 625 rated colleges and universities

Great coworkers

People enjoy working here

Good employer

Learn more about University of Coloradoexternal

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary
We are inviting applications for a Temporary Researcher for the NSF Institute for Student-AI Teaming (iSAT) data collection team. This position offers hands-on experience in data handling and processing, behavioral data annotation, participant-facing research, and it provides exciting learning opportunities by being part of an interdisciplinary team of leading scientists and educators.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are
The NSF Institute for Student-AI Teaming (iSAT) brings together a geographically distributed team from six universities with partners from academia, K-12 school districts, and industry to address how Artificial Intelligence (AI) can collaborate with students and teachers to promote meaningful learning experiences for all students.
What Your Key Responsibilities Will Be
  • Assist with data collection and processing, both in the classroom and the lab.
  • Entry, curation, and/or annotation of research data.
  • Maintain orderly digital records and follow study protocols and data-handling procedures.
  • Communicate effectively with research staff and supervisors.
  • Attend scheduled team meetings and complete required trainings for human subjects research.
  • Support the distribution of recruitment materials across campus and digital channels.
  • Other administrative responsibilities as assigned.

What You Should Know
  • Applications will be reviewed on a rolling basis until filled.

What We Can Offer
  • Location: Hybrid
  • Hours per Week: 20
  • Compensation: $ 25 per hour

Benefits
Temporary positions at the University of Colorado are not benefits-eligible, however, all positions are eligible for paid sick leave .
Be Statements
Be ambitious. Be groundbreaking. Be Boulder.
What We Require
  • Completed CITI human subjects training (can be done after hiring).

What You Will Need
  • Strong organizational skills and attention to detail.
  • Ability to maintain confidentiality and follow ethical guidelines when working with human subjects.
  • Reliable, professional communication skills.

What We Would Like You to Have
  • Prior experience with research involving human participants, especially youth.
  • Familiarity with data entry or data management tools (e.g., Excel, Google Sheets).
  • Experience with behavioral coding or data annotation.

Special Instructions
To apply, please submit the following materials:
  1. Resume or CV.

Please apply by 9/30/2026 for consideration.
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.

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