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Data Annotation Manager Jobs in Denver, CO (NOW HIRING)

University of Colorado

Temporary Researcher

Boulder, CO · On-site

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 ...

UDC

GIS Administrator

Englewood, CO · On-site

$85K - $115K/yr

... Symbology, Annotation, Dimensions, Replication, Long Transaction editing, System Sync options ... Data Management & Versioning: Manage multi-user editing workflows, data versioning, replication ...

RWS Group

Solutions Architect - Presales

Superior, CO · On-site

$120K - $140K/yr

Design and implement viable and scalable data acquisition and annotation workflows. Build and ... Strategic thinking, business oriented, with excellent problem-solving and project management skills.

RWS Group

Solutions Architect - Presales

Superior, CO · On-site

$120K - $140K/yr

Design and implement viable and scalable data acquisition and annotation workflows. Build and ... Strategic thinking, business oriented, with excellent problem-solving and project management skills.

UDC

Software Developer

Englewood, CO · On-site

$75K - $95K/yr

... for asset management workflows in the utility industry. What you will do As a GIS Software ... Datum and Projection concepts, X/Y vs Lat/Long usage and translation, Symbology, Annotation ...

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

... in creating data pipelines for training and testing, including annotation and evaluation tooling * Collaborate with product managers to translate user requirements into technical features

All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Denver, CO

Data Annotation Manager information

See Denver, CO salary details

$31.9K

$100K

$177K

How much do data annotation manager jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data annotation manager in Denver, CO is $99,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $129,200.00 per year, depending on experience, location, and employer.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a data annotation manager?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

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

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Denver, CO?

The most popular types of Data Annotation jobs in Denver, CO are:

What are popular job titles related to Data Annotation Manager jobs in Denver, CO?

For Data Annotation Manager jobs in Denver, CO, the most frequently searched job titles are:

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The top searched job categories for Data Annotation Manager jobs in Denver, CO are:

What cities near Denver, CO are hiring for Data Annotation Manager jobs?

Cities near Denver, CO with the most Data Annotation Manager job openings:

Data Annotation Manager jobs near you

Temporary Researcher

University of Colorado

Boulder, CO • On-site

Part-time

Re-posted 18 days ago

University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

150th of 622 rated colleges and universities

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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