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Data Annotation Engineer Jobs in Colorado (NOW HIRING)

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we ... Prior experience with data annotation, data quality, or evaluation systems. * Master's Degree or ...

Alignerr

Computer Engineering

Denver, CO · Remote

$35 - $60/hr

Prior experience with data annotation, data quality, or evaluation systems * Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.

Alignerr

Senior Machine Learning Expert

Denver, CO · Remote

$89K - $110K/yr

Prior experience with data annotation, data quality assurance, or AI evaluation pipelines * Top ... feature engineering depth * Background in AI safety, RLHF, or reasoning-focused model research

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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 Jun 19, 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 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 are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

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.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

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 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 June 2026, with employment types broken down into 68% Full Time, 7% Part Time, and 25% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $155,058 per year, or $74.5 per hour.

Software Engineer (C#) - Internal Tooling

Alignerr

Denver, CO • Remote

Other

Posted 14 days ago

Job description

Software Engineer (C#) - Internal Tooling (AI Infrastructure)
About the Role
What if your C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for experienced full-stack C# engineers to build and improve the systems that leading AI labs depend on - from data annotation pipelines to evaluation harnesses and quality control tooling.
This is a fully remote contract role with flexible commitment. You'll work on real production systems alongside data, research, and engineering teams at the frontier of AI development.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance C# systems supporting AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across existing C# codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Identify and resolve bottlenecks and edge cases in data and system behavior with scalable solutions
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions
  • Build and maintain robust benchmarking and performance evaluation harnesses
Who You Are
  • 3-5+ years of professional experience writing production-grade C#
  • Strong full-stack developer background with solid systems programming fundamentals
  • Expertise in interoperability scenarios - such as invoking Python ML models from .NET or wrapping native libraries
  • Experienced designing robust harnesses for benchmarking and evaluating system performance
  • Native or fluent English speaker with clear written and verbal communication skills
  • Able to commit 20-40 hours per week with reliability and consistency
Nice to Have
  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with distributed systems or developer tooling
  • Background working with or alongside research teams in a fast-moving environment
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact technical work
  • Build systems that directly influence how next-generation AI models are trained and evaluated
  • Potential for ongoing work and contract extension as new projects launch

Apply