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Data Annotation Engineer Jobs in Colorado (NOW HIRING)

Bilingual Data Analyst

Greenwood Village, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The successful candidate will be responsible for data annotation, model validation, and reporting ... A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field ...

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Software Developer

Englewood, CO · On-site

$75K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

UDC is seeking a full-time GIS Software Developer to design, develop, configure, and maintain (GIS ... Datum and Projection concepts, X/Y vs Lat/Long usage and translation, Symbology, Annotation ...

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

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

Infographic showing various Data Annotation Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $155,058 per year, or $74.5 per hour.

Bilingual Data Analyst

Apex Systems

Greenwood Village, CO • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

Job#: 3045066
Job Description:
Bilingual Data Analyst
Location: Greenwood Village, Colorado (Onsite)
Role Overview
We are seeking a detail-oriented and analytical Bilingual Data Analyst to join our team. The successful candidate will be responsible for data annotation, model validation, and reporting, and will provide support to a Data Scientist to design, develop, and improve AI/ML models for a long-term project. This position is open to entry level candidates with a relevant data background or candidates with a few years of experience.
Key Responsibilities
  • Annotate conversational data from customer interactions according to predefined guidelines to ensure high-quality training data for machine learning models.
  • Validate model performance by analyzing results, identifying trends, and providing recommendations for improvement.
  • Generate reports on model performance, customer insights, and key metrics to support stakeholder communication and decision-making.
  • Collaborate with the Data Scientist and business stakeholders to understand project requirements.
  • Provide assistance in data preparation, data cleaning, data wrangling, and preprocessing tasks.
  • Document, prepare, and present data-driven presentations using data visualization tools.
Required Qualifications
Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field is required.
Experience: Must be fluent in both English and Spanish. Candidates must have good communication skills and a proven ability to collaborate effectively.
Technical Skills: Proficiency in SQL and Python, including experience with Pandas, is required. A demonstrated proficiency in advanced analytics processes, reporting design principles, data cleaning, and data wrangling is necessary.
Preferred Qualifications
  • An understanding or familiarity with basic machine learning, preferably in natural language processing (NLP).
  • Ability to work with modern cloud solutions or platforms such as AWS or Azure.
  • Understanding or familiarity with AI and Large Language Models (LLMs).
  • Familiarity with the telecom domain and customer interaction transcript data.
  • Experience working with conversational data, preferably in a customer service or call center environment.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
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