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Data Annotation Research Jobs in Denver, CO (NOW HIRING)

University of Colorado

Temporary Researcher

Boulder, CO · On-site

This position offers hands-on experience in data handling and processing, behavioral data annotation, participant-facing research, and it provides exciting learning opportunities by being part of an ...

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

With a strong foundation in market research, we offer innovative solutions in research, software ... creating data pipelines for training and testing, including annotation and evaluation tooling

All JobsData Annotation Research JobsData Annotation Research Jobs in Denver, CO

Data Annotation Research information

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What are the key skills and qualifications needed to thrive as a data annotation researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced in data annotation research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What are popular job titles related to Data Annotation Research jobs in Denver, CO?

For Data Annotation Research jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Data Annotation Research jobs in Denver, CO look for?

The top searched job categories for Data Annotation Research jobs in Denver, CO are:

Data Annotation Research jobs near you

Temporary Researcher

Boulder, CO • On-site

University of Colorado
Colleges, Universities, and Professional Schools • 10K+ employees

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Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary
We are inviting applications for a Temporary Researcher for the NSF Institute for Student-AI Teaming (iSAT) data collection team. This position offers hands-on experience in data handling and processing, behavioral data annotation, participant-facing research, and it provides exciting learning opportunities by being part of an interdisciplinary team of leading scientists and educators.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are
The NSF Institute for Student-AI Teaming (iSAT) brings together a geographically distributed team from six universities with partners from academia, K-12 school districts, and industry to address how Artificial Intelligence (AI) can collaborate with students and teachers to promote meaningful learning experiences for all students.
What Your Key Responsibilities Will Be
  • Assist with data collection and processing, both in the classroom and the lab.
  • Entry, curation, and/or annotation of research data.
  • Maintain orderly digital records and follow study protocols and data-handling procedures.
  • Communicate effectively with research staff and supervisors.
  • Attend scheduled team meetings and complete required trainings for human subjects research.
  • Support the distribution of recruitment materials across campus and digital channels.
  • Other administrative responsibilities as assigned.

What You Should Know
  • Applications will be reviewed on a rolling basis until filled.

What We Can Offer
  • Location: Hybrid
  • Hours per Week: 20
  • Compensation: $ 25 per hour

Benefits
Temporary positions at the University of Colorado are not benefits-eligible, however, all positions are eligible for paid sick leave .
Be Statements
Be ambitious. Be groundbreaking. Be Boulder.
What We Require
  • Completed CITI human subjects training (can be done after hiring).

What You Will Need
  • Strong organizational skills and attention to detail.
  • Ability to maintain confidentiality and follow ethical guidelines when working with human subjects.
  • Reliable, professional communication skills.

What We Would Like You to Have
  • Prior experience with research involving human participants, especially youth.
  • Familiarity with data entry or data management tools (e.g., Excel, Google Sheets).
  • Experience with behavioral coding or data annotation.

Special Instructions
To apply, please submit the following materials:
  1. Resume or CV.

Please apply by 9/30/2026 for consideration.
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.

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