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Contract Ai Data Annotation Jobs in Colorado (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

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:

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.

Legal AI Trainer - Remote

micro1 AI

Boulder, CO • Remote

$90 - $150/hr

Part-time

Posted 12 days ago


Job description

Role Title: Funds Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the funds department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including LPA’s, subscription agreements, and side letters.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.