ZipRecruiter

Log In

2

Full Time Data Annotation Tech Jobs in Boulder, CO

Ookla

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

You will work on big data using the latest technologies. Key Responsibilities: * Develop high ... Employment Type: Full-Time

NuView

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 ...

Continuum Media Network, Inc.

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Type Full-time Description Full-Time $110K - $120K Continuum is a Managed Service TV ... Containerization technologies (Docker, ECS, etc.) What we offer: The annual base salary for this ...

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$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 ...

Ibotta, Inc

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is ... Applicants must be currently authorized to work in the United States on a full-time basis. * For ...

Continuum Media Network Inc

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description Full-Time $110K - $120K Continuum is a Managed Service TV advertising platform - making ... Containerization technologies (Docker, ECS, etc.) What we offer: The annual base salary for this ...

Continuum Media Network Inc

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description: Full-Time $110K - $120K Continuum is a Managed Service TV advertising platform ... Containerization technologies (Docker, ECS, etc.) What we offer: The annual base salary for this ...

Booz Allen Hamilton

Data Engineer

Aurora, CO

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ever-expanding technology and collection methodologies means that there is more structured and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

Remain current on technology, machine learning trends, and competitive shifts within the global ... LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These ...

previous pagenext page

Showing results 21-40

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 16, 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.

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, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $49,275 per year, or $23.7 per hour.

Data Engineer

Ookla

Denver, CO • On-site

$85K - $125K/yr

Full-time

Posted 11 days ago

Job description

The Opportunity:

We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.

Key Responsibilities:

  • Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow

  • Debug queries, monitor jobs, identify bottlenecks in system performance and improve efficiency
  • Support and collaborate with data scientists, analysts, and product managers

Job Requirements:

  • Bachelor's degree in Computer Science or related field or equivalent experience

  • 1+ year of professional experience in data engineering

  • Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

  • Workflow orchestrators (Dagster, Airflow, Prefect)

  • Experience working with Python

  • Strong communication skills both in person and via virtual mediums
  • Background check required

Nice to have:

  • ETL/ELT design patterns

  • Experience with AWS cloud services

  • Experience with high volume distributed data processing in Spark

About

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest, Downdetector, Ekahau, and RootMetrics to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.


Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.


About Accenture

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.


Compensation Range

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $85,000 to $125,000 annually. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.

Employment Type: Full-Time

Apply