ZipRecruiter

Log In

1

Data Annotation Ai Trainer Jobs in Colorado (NOW HIRING)

micro1 AI

Legal Counsel - AI Trainer

Arvada, CO · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

DataAnnotation

Software Engineer - AI Trainer

Aurora, CO · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Software Engineer - AI Trainer

Lakewood, CO · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Programmer - AI Trainer

Aurora, CO · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Programmer - AI Trainer

Lakewood, CO · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Software Developer - AI Trainer

Aurora, CO · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Software Developer - AI Trainer

Lakewood, CO · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

previous page

Showing results 41-60

All JobsData Annotation Ai Trainer JobsData Annotation Ai Trainer Jobs in Colorado

Data Annotation Ai Trainer information

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

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

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

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

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

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

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

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

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

Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer 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.

Legal Counsel - AI Trainer

micro1 AI

Arvada, CO • Remote

$90 - $130/hr

Part-time

Re-posted 20 days ago

Job description

Role Title: General Counsel


Role Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite legal professionals 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. Create, review, and refine contract negotiation playbooks based on diverse real-world scenarios and company requirements.
  3. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  4. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  5. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of Counsel experience focused on technology transactions, particularly negotiating MSAs, NDAs, DPAs, APAs and SPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


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.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.

Apply