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Data Annotation Engineer Jobs in Colorado (NOW HIRING)

STACK Infrastructure

AI Application Engineer

Denver, CO · On-site

The Product Engineer builds what users actually see and use - the reviewer workbench, the executive ... Data Analyst Associate certifications * Document-heavy UX experience - PDF viewers, annotation ...

Stackinfra

AI Application Engineer

Denver, CO · On-site

The Product Engineer builds what users actually see and use - the reviewer workbench, the executive ... Data Analyst Associate certifications * Document-heavy UX experience - PDF viewers, annotation ...

Socket.dev

Contractor -Alteryx Developer

Boulder, CO · On-site

$150 - $200/hr

This role will be pivotal in enabling high-quality, automated, and reliable data pipelines that ... Apply Alteryx Designer best practices: modular workflow design, reusable macros, annotation ...

New

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

... creating data pipelines for training and testing, including annotation and evaluation tooling ... Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning) * Proficiency in ...

UDC

Sr. GIS Software Developer

Englewood, CO · On-site

$115K - $150K/yr

As a Senior Software Developer, you will design, develop, configure, and maintain (GIS ... Datum and Projection concepts, X/Y vs Lat/Long usage and translation, Symbology, Annotation ...

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Colorado

Data Annotation Engineer information

See Colorado salary details

$54.2K

$155.1K

$207.1K

How much do data annotation engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data annotation engineer in Colorado is $155,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $206,100.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

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

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

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

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

What cities in Colorado are hiring for Data Annotation Engineer jobs?

Cities in Colorado with the most Data Annotation Engineer job openings:

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Colorado as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $155,058 per year, or $74.5 per hour.

AI Application Engineer

Denver, CO • On-site

STACK Infrastructure
IT Services • 201 - 500 employees
Learn more about STACK Infrastructureexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Key responsibilities

  • Build and maintain reviewer-facing applications, including triaging documents, accepting or overriding AI recommendations, and annotating decisions.

  • Develop reporting dashboards and executive visibility tools, including Power BI dashboards and quarterly reporting infrastructure.

  • Create and manage data products and analytics engineering outputs, such as clean data layers, output generators, APIs, and integration patterns.

Job description

THE COMPANY:
STACK INFRASTRUCTURE (STACK) provides digital infrastructure to scale the world's most innovative companies. We are an award-winning industry leader in building, owning, and operating highly efficient, cost-effective wholesale, colocation, and cloud data centers. Each of our national facilities meets or exceeds the highest industry standards in all operational categories of availability, security, connectivity, and physical resilience.
STACK offers the scale and geographic reach that rapidly growing hyperscale and enterprise companies need. The world runs on data. Data runs on STACK.
THE POSITION:
We're building enterprise AI platforms that automate document-intensive review workflows across the business. The AI does the heavy lifting on document understanding, rule validation, and exception detection. The Product Engineer builds what users actually see and use - the reviewer workbench, the executive reporting layer, the data products, and the audit-ready outputs that turn AI insights into business decisions.
This is a hybrid product engineering + analytics engineering role. You'll partner with the AI Solution Architect (who owns the agents) and the MLOps Engineer (who owns the data platform) to ship the user-facing layer. You report to the Head of AI & Data Strategy. Responsibilities include but are not limited to:
Reviewer Workbench & application engineering
  • Reviewer-facing application - triage incoming documents, accept or override AI recommendations, annotate decisions
  • UI/UX patterns that match how reviewers actually work today (comment logs, page-level evidence links, override flows)
  • Feedback capture - every reviewer interaction trains the model and refines the rule packs
  • Application performance at scale - handling high document volumes with thousands of pages of supporting context
  • Surfacing of agent outputs, confidence scores, and citations to reviewers in a way they trust

Reporting, dashboards & executive visibility
  • Power BI dashboards on Databricks SQL Warehouse - review throughput, accuracy, time saved, operational metrics
  • Executive reporting layers for SLT and business leadership
  • Portfolio analytics - cross-domain benchmarks, trend analysis, anomaly surfacing
  • Quarterly reporting infrastructure for SteerCo and AI Program Council reviews

Data products & analytics engineering
  • Clean, documented Gold-layer data products on Unity Catalog - reusable across business stakeholders, IT Delivery, AI team
  • Output generators - auto-produce Excel + Word + linked evidence outputs per reviewed item, audit-ready by default
  • APIs and integration patterns surfacing platform outputs to enterprise systems and business workflows
  • Analytics engineering standards - dbt or equivalent modeling, version control, lineage, documentation

User research & adoption
  • Direct work with business users - what's slowing them down, what's working, what they need next
  • Fast-cadence iteration based on real user feedback, not quarterly release cycles
  • User documentation, training materials, onboarding flows for end users and report consumers
  • Cross-functional partnership with the AI Solution Architect, MLOps Engineer, business stakeholders, IT Delivery, SLT

THE DETAILS:
  • Location: Denver, CO
  • Travel: Under 10%
  • Benefits: Healthcare, Dental Care, Vision Insurance, Life Insurance, Paid Time Off, and Paid Leave Programs
  • Must be eligible to work in the United States
  • Must pass comprehensive background and drug screening

MUST-HAVE QUALIFICATIONS:
  • 5+ years building data-intensive applications, internal tools, or data products in production

  • Full-stack capability - modern web frameworks (React, Vue, or equivalent), Python or TypeScript, SQL
  • Production experience with at least one BI/reporting tool (Power BI preferred)
  • Strong SQL on Databricks SQL Warehouse, dbt, or equivalent lakehouse modeling
  • Proven UX intuition - you have shipped internal tools real users adopt and improved them based on observed behavior
  • Experience designing reporting consumed by executive stakeholders - balancing detail, accuracy, clarity
  • Microsoft 365 and Azure ecosystem familiarity (Power BI, SharePoint Online, Azure App Services, Entra ID)
  • Bachelor's degree in Computer Science, Engineering, or related field

Nice to have
  • Power BI Data Analyst Associate or Databricks Data Analyst Associate certifications
  • Document-heavy UX experience - PDF viewers, annotation tools, evidence linking, comment logs
  • Experience surfacing LLM outputs to end users - confidence scoring, override flows, citation interfaces
  • React + TypeScript + modern frontend tooling and component libraries
  • Embedded analytics (Power BI embedded, Looker embedded, or equivalent)
  • Construction, real estate, data center, or AEC industry context
  • Experience operating in a small AI team where you wear multiple hats

How you work
  • You build for the user in front of you. You would rather watch a user use what you built than read about adoption metrics.
  • You're comfortable with ambiguity. You figure out what the user needs by talking to them, not by waiting for a spec.
  • You ship small and often. Big quarterly releases are not your model.
  • You think about data products as products. A Gold-layer table should be documented, versioned, and reliable.

Compensation Range:
$128,260.00 - $146,017.59
THIS MIGHT BE RIGHT FOR YOU IF:
  • You are a strong communicator, you are persuasive and clear, blending analytics with experience in decision-making.
  • You do not get flustered easily. You can juggle multiple priorities while balancing urgent requests with shifting timelines and deliverables.
  • You are a team builder. You take the time to understand and develop the strengths of your resources while formulating long-term plans for the growth and success of the team.
  • You are naturally curious and driven toward continual improvement. While you celebrate your successes, you take time to review and analyze campaigns for future learning.

WHY STACK?
  • We offer a competitive compensation package with strong benefits, including medical, dental, and vision insurance, a 401K program, flexible spending accounts - even a cell phone subsidy.
  • We foster a culture of appreciation, including peer-to-peer recognition and rewards programs.
  • Fun is part of our DNA, with events, game nights, happy hours, and barbecues.
  • We're growing - this is a great time to join and make an impact!

STACK is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law
Note to external agencies: We are not accepting any blind submissions or resumes/cvs from recruitment agencies. Any candidates sent to STACK Infrastructure, Inc. will not be accepted or considered as a submission without a signed agreement in place. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of STACK Infrastructure, Inc.

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