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Data Labeling Jobs in Colorado (NOW HIRING)

jbs

QA LABELING SPECIALIST - BEEF

Greeley, CO · On-site

$60K - $70K/yr

Perform various data entries for daily, weekly, period, quarter, and year-to-date reports. * Assist in completing customer requests for documents. * Audit existing label approvals for products to ...

JBS USA

QA LABELING SPECIALIST - BEEF

Greeley, CO

Perform various data entries for daily, weekly, period, quarter, and year-to-date reports. * Assist in completing customer requests for documents. * Audit existing label approvals for products to ...

JBS USA

QA LABELING SPECIALIST - BEEF

Greeley, CO

$70K/yr

Perform various data entries for daily, weekly, period, quarter, and year-to-date reports. * Assist in completing customer requests for documents. * Audit existing label approvals for products to ...

JBS USA

QA LABELING SPECIALIST - BEEF

Greeley, CO

$60K - $70K/yr

Perform various data entries for daily, weekly, period, quarter, and year-to-date reports. * Assist in completing customer requests for documents. * Audit existing label approvals for products to ...

Accenture

Data Protection Sr. Analyst

Denver, CO · Hybrid

$84K - $100K/yr

Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR, HIPAA - awareness level). * PowerShell scripting or automation exposure is a plus.

CCI Systems, Inc.

Data Center Technicians

Aurora, CO · On-site

Support structured cabling builds including routing, labeling, and cable management standards. * Execute work in live data center environments, adhering to change control and maintenance windows.

CCI Systems, Inc.

Data Center Technicians

Boulder, CO · On-site

Support structured cabling builds including routing, labeling, and cable management standards. * Execute work in live data center environments, adhering to change control and maintenance windows.

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Data Labeling information

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$9

$23

$54

How much do data labeling jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data labeling in Colorado is $23.07, according to ZipRecruiter salary data. Most workers in this role earn between $15.16 and $26.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Labeling position, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is a Data Labeling job?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a Data Labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools, and may be performed remotely or in a controlled environment.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Some positions may offer freelance or project-based pay, with rates varying accordingly.

Is data labeling hard?

Data labeling can be challenging depending on the complexity of the data and the accuracy required. It often involves attention to detail, understanding of the data context, and sometimes the use of labeling tools or software. The difficulty varies based on the project and the level of expertise needed.

Is data labelling a good career?

Data labeling is a foundational role in machine learning and AI development, involving annotating data to improve model accuracy. It often requires attention to detail, basic technical skills, and can offer flexible schedules, but typically has lower entry barriers and pay compared to more advanced tech roles.
What are the most commonly searched types of Data Labeling jobs in Colorado? The most popular types of Data Labeling jobs in Colorado are:
What are popular job titles related to Data Labeling jobs in Colorado? For Data Labeling jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Colorado look for? The top searched job categories for Data Labeling jobs in Colorado are:
What cities in Colorado are hiring for Data Labeling jobs? Cities in Colorado with the most Data Labeling job openings:
Data Labeling jobs near you
Data Security Engineer, Senior

Data Security Engineer, Senior

BOOZ, ALLEN & HAMILTON, INC.

Colorado Springs, CO

$86K - $198K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 8 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Data Security Engineer, Senior
The Opportunity :
Architect, deploy, and configure data security solutions across various clients for DoD, IC, and civilian federal clients. Create new architectures to meet client requirements adhering to Zero T rus t best practices and IC data header guidelines. Interface with key stakeholders, including agency personnel and internal delivery and engineering teams. Assist in building custom policy to ensure positive control of data across hybrid cloud environments.
You Have:
  • 3+ years of experience designing, deploying, and configuring data security solutions
  • Experience with Data Security Posture Management ( DSPM ) tools such as Varonis or BigID
  • Experience with Data Loss Prevention ( DLP ) tools such as Forcepoint, Trellix, or Symantec
  • Experience with data labeling and tagging solutions such as Purview, Fortra, or Titus
  • Experience documenting and diagraming technical architectures
  • TS/SCI clearance
  • HS diploma or GED

Nice If You Have:
  • Experience working in federal, DoD, or IC agency environments
  • Experience managing and maintaining containerization solutions
  • Knowledge of federal information security policies , standards, procedures, directives, frameworks, federal security authorizations, assessment, and risk management processes for enterprise systems
  • Knowledge of T rus ted Data Format ( TDF ) and Attribute Based Access Control ( ABAC )
  • Knowledge of Virtru Data Security Platform ( DSP ) and Keycloak
  • Bachelor's degree in an IT, Cybersecurity, or Engineering field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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