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Data Annotation Jobs in Golden, 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 ...

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Data Annotation information

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Golden, CO?

The most popular types of Data Annotation jobs in Golden, CO are:

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

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

What cities near Golden, CO are hiring for Data Annotation jobs?

Cities near Golden, CO with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Golden, CO as of August 2026, with employment types broken down into 58% Full Time, 18% Part Time, and 24% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

Temporary Researcher

Boulder, CO • On-site

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

8.2

Company rating: 8.2 out of 10

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Learn more about University of Coloradoexternal

Part-time

Re-posted 19 days ago

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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