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Full Time Data Annotation Tech Jobs in Boulder, CO

Garmin International, Inc.

Data Engineer 2

Boulder, CO · On-site

$99K/yr

Overview We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater ... Develops scalable, extensible solution architectures leveraging contemporary big-data technologies ...

GliaCell Technologies

Data Scientist

Aurora, CO · On-site

$50K - $120K/yr

GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security ... This is a full-time position offering the opportunity to support a U.S. Government customer. The ...

GliaCell Technologies

Data Scientist

Aurora, CO · On-site

GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security ... This is a full-time position offering the opportunity to support a U.S. Government customer. The ...

World Wide Technology

Consulting Data Architect

Denver, CO · On-site

$100K - $140K/yr

Experience with at least one traditional data warehousing technology (e.g., Teradata, Oracle, SQL ... We offer the following benefits to all full-time employees: * Health and Wellbeing: Health (Medical ...

GliaCell Technologies

Senior Data Scientist

Aurora, CO · On-site

$115K - $190K/yr

GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security ... This is a full-time position offering the opportunity to support a U.S. Government customer. The ...

GliaCell Technologies

Senior Data Scientist

Aurora, CO · On-site

GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security ... This is a full-time position offering the opportunity to support a U.S. Government customer. The ...

Talent Navigation Experts

Data Scientist

Denver, CO · Hybrid

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a ...

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a ...

NuView Analytics

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Candidate will be a key leader in researching and helping the company learn about new technologies ...

TekSynap

Senior Data Manager

Denver, CO · On-site

$69.25 - $92.75/hr

Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT ... We offer our full-time employees a competitive benefits package to include health, dental, vision ...

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All JobsData Annotation Tech JobsFull Time Data Annotation Tech JobsFull Time Data Annotation Tech Jobs in Boulder, CO

Full Time Data Annotation Tech information

See Boulder, CO salary details

$12

$23

$36

How much do full time data annotation tech jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for full time data annotation tech in Boulder, CO is $23.69, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $28.17 per hour, depending on experience, location, and employer.

What is a full time data annotation tech?

Full Time Data Annotation Techs are professionals responsible for labeling and categorizing data used to train machine learning models. They examine various types of data, such as images, text, or audio, and apply specific tags or annotations according to project guidelines. Their work is essential in ensuring the accuracy of artificial intelligence systems by providing high-quality, structured datasets. Full-time positions typically involve working standard business hours and may require familiarity with specialized annotation tools and attention to detail.

What are the key skills and qualifications needed to thrive as a full time data annotation tech?

To thrive as a Full Time Data Annotation Tech, you need strong attention to detail, basic data management skills, and familiarity with data labeling practices, typically supported by a high school diploma or equivalent. Experience with annotation tools (such as Labelbox, Supervisely, or similar platforms) and basic proficiency in spreadsheet or database systems are commonly required. Reliability, consistency, and effective communication are crucial soft skills for quality assurance and collaboration with data teams. These skills and qualities are essential to ensure the accuracy and efficiency of annotated datasets, which directly impact the performance of machine learning models.

How does a full time data annotation tech typically collaborate with data scientists and engineers on projects?

As a Full Time Data Annotation Tech, you will regularly work alongside data scientists and engineers to ensure the accuracy and quality of labeled datasets used for machine learning models. Collaboration often involves attending project meetings to clarify annotation guidelines, providing feedback on ambiguous data cases, and updating annotation processes based on team input. Clear communication is essential, as your work directly impacts model performance and downstream analytics. This team-oriented environment fosters learning and provides insight into broader AI development workflows.

What is the difference between Full Time Data Annotation Tech vs Data Labeling Specialist?

AspectFull Time Data Annotation TechData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with training in labeling tools
Work EnvironmentOffice or remote, collaborative teamsRemote or on-site, focused on labeling tasks
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, healthcare
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI accuracy

Both roles involve data annotation and labeling, often requiring similar skills and working environments. The main difference lies in job titles used by employers and the scope of responsibilities, with 'Full Time Data Annotation Tech' emphasizing a broader technical role, while 'Data Labeling Specialist' may focus more on specific labeling tasks.

Does full time data annotation tech actually pay?

Full-time data annotation technicians typically receive a regular salary or hourly wage, with pay rates varying based on experience, location, and company. Many roles offer benefits such as paid time off and health insurance, and some positions may require familiarity with annotation tools or specific data types.

What are popular job titles related to Full Time Data Annotation Tech jobs in Boulder, CO?

For Full Time Data Annotation Tech jobs in Boulder, CO, the most frequently searched job titles are:

What job categories do people searching Full Time Data Annotation Tech jobs in Boulder, CO look for?

The top searched job categories for Full Time Data Annotation Tech jobs in Boulder, CO are:

Full Time Data Annotation Tech jobs near you
Infographic showing various Full Time Data Annotation Tech job openings in Boulder, CO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $49,275 per year, or $23.7 per hour.

Data Engineer 2

Garmin International, Inc.

Boulder, CO • On-site

$99K/yr

Full-time

Posted 5 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

14th of 159 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for contributing to data development and operational stability of the Big Data ecosystems.
Essential Functions
  • Provides technical input to feature development plans and concept documents
  • Understands production and operations issues as they relate to engineering
  • Configures and administers data servers and Hadoop components
  • Develops scalable, extensible solution architectures leveraging contemporary big-data technologies in an evolving operational framework
  • Analyzes existing data structures and recommends improvements
  • Partners with team lead to identify technical requirements and alternatives to accomplish projects, leads major incident troubleshooting involving multiple disciplines and develops reliable solutions to complex problems which require ingenuity and creativity
  • Participates in design, code, test, maintenance, enhance and decommission phases throughout software life cycle to contribute technical expertise and to identify issues
  • Participates in and helps guide research POCs, including design, coding, and performance and efficacy measurement
  • Provides significant contributions to defining team roadmap and priorities, facilitates team discussions and plans, and offers innovative suggestions within area of discipline
  • Demonstrates broad understanding of Garmin's business model, including various departments and is recognized as an expert in assigned discipline and applies extensive technical expertise and analysis to initiatives
  • Researches new technologies and proposes cost effective solutions and contributes input to broader technology solutions outside of discipline
  • Provides 24x7 on call support

Basic Qualifications
  • Bachelor's Degree in Computer Science, Information Technology, Management Information Systems, Business or related field AND a minimum of 2 years relevant experience
  • Experience with one or more of the following: Star Schema Modeling, Spark, or Hadoop
  • Experience developing SSIS packages or similar technologies to support data integration processes
  • Experience tuning and optimizing ETL jobs to perform at scale
  • Experience writing complex queries combining data from disparate systems
  • Experience with Java, Hadoop and various components
  • Experience developing data visualizations
  • Demonstrated ability to implement new technologies effectively
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Consistently demonstrates quality and effectiveness in work documentation/organization

Desired Qualifications
  • Building data models and transformations inside PowerBI
  • Experience with real-time streaming technologies such as Kafka
  • Experience developing data visualizations using PowerBI
  • Experience designing, building, and maintaining star schema models

The deadline to apply to this role is Friday, September 4, 2026.
Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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