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Contract Ai Data Annotation Jobs in Colorado (NOW HIRING)

Stackinfra

AI Application Engineer

Denver, CO · On-site

The AI does the heavy lifting on document understanding, rule validation, and exception detection ... Data Analyst Associate certifications * Document-heavy UX experience - PDF viewers, annotation ...

micro1 AI

Legal AI Trainer - Remote

Longmont, CO · Remote

$90 - $150/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Legal AI Trainer - Remote

Arvada, CO · Remote

$90 - $150/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Legal AI Trainer - Remote

Centennial, CO · Remote

$90 - $150/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

micro1 AI

Legal AI Trainer - Remote

Fort Collins, CO · Remote

$90 - $150/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

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All JobsContract Ai Data Annotation JobsContract Ai Data Annotation Jobs in Colorado

Contract Ai Data Annotation information

What is a contract AI data annotation?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What are the key skills and qualifications needed to thrive as a contract AI data annotation specialist?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

What are the most commonly searched types of Ai Data Annotation jobs in Colorado?

The most popular types of Ai Data Annotation jobs in Colorado are:

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

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

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

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

What cities in Colorado are hiring for Contract Ai Data Annotation jobs?

Cities in Colorado with the most Contract Ai Data Annotation job openings:

Contract Ai Data Annotation jobs near you
Infographic showing various Contract Ai Data Annotation job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Temporary Researcher

University of Colorado Boulder

Boulder, CO • Hybrid

Part-time, Temporary

Re-posted 27 days ago

University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

150th of 628 rated colleges and universities

Job description

Requisition Number:

74293

Location:

Boulder, Colorado

City

Boulder

State

Colorado

Employment Type:

Research Faculty

Schedule:

Part-Time

Posting Close Date:

30-Sep-2026

Date Posted:

20-Aug-2026
Close All
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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