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Intern Ai Data Annotation Jobs in Colorado (NOW HIRING)

Symmetry

$14.75 - $19.75/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... About Symmetry Systems Symmetry Systems is the Data+AI Security company. Our data security posture ...

Symmetry

$14.75 - $19.75/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... About Symmetry Systems Symmetry Systems is the Data+AI Security company. Our data security posture ...

Garmin Ltd.

Data Scientist 1

Louisville, CO · On-site

$85 - $115/hr

... AI products. This role will also leverage machine learning, statistical analysis, and data ... Build and deploy annotation, training, and evaluation pipelines and automate workflows to improve ...

Five and Fly, LLC.

Analytics Engineering Intern

Denver, CO · On-site

$17.25 - $22.50/hr

We are looking for an Analytics Engineering Intern who is eager to learn and passionate about ... or data workflows using APIs and scripting tools. * Interest in AI, machine learning, or ...

Sierra Space Corporation

Computer Vision II

Centennial, CO · On-site

$105K - $145K/yr

You will design and develop sophisticated AI software and hardware for satellite applications ... Experience with data annotation and management for training computer vision models. * Knowledge of ...

TIFIN

AI Engineering Intern, TIFIN.ai

Boulder, CO

$17 - $25/hr

... and reasons over client data, analyzes portfolio exposures and risk scenarios, generates ... AI Agent Platform & Infrastructure Architect a scalable multi-agent platform with orchestration ...

Five and Fly

Analytics Engineering Intern

Denver, CO · On-site

$17.25 - $22.50/hr

Description We are looking for an Analytics Engineering Intern who is eager to learn and passionate ... or data workflows using APIs and scripting tools. * Interest in AI, machine learning, or ...

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Intern Ai Data Annotation information

What are the key skills and qualifications needed to thrive as an intern AI data annotation?

To thrive as an Intern AI Data Annotation Specialist, you need strong attention to detail, basic data handling skills, and familiarity with common data formats, often supported by a background in computer science or related fields. Experience with data labeling tools, annotation platforms, and sometimes basic knowledge of Python or similar scripting languages is typically required. Reliability, patience, and effective communication are essential soft skills for ensuring accuracy and collaborating with team members. These competencies are crucial for generating high-quality annotated datasets that enable accurate machine learning model development.

What does a typical day look like for an intern AI data annotation, and how do they collaborate with other teams?

As an AI Data Annotation Intern, your typical day involves labeling and categorizing data such as images, audio, or text to train machine learning models. You’ll use specialized annotation tools and follow detailed guidelines to ensure consistency and accuracy. Collaboration is key—you’ll often communicate with data scientists, machine learning engineers, and project managers to clarify requirements and provide feedback on ambiguous cases. This teamwork helps ensure the data you annotate aligns with project goals and quality standards, making your contributions vital to the development of AI solutions.

What does an intern AI data annotation do?

An Intern AI Data Annotation is responsible for labeling and categorizing data, such as images, text, or audio, to help train artificial intelligence models. They ensure data is accurately tagged according to specific guidelines so that AI systems can learn to recognize patterns or make predictions. This role often involves using specialized annotation tools and requires attention to detail to maintain high-quality datasets. Interns may also assist with reviewing and correcting data, as well as collaborating with data scientists and engineers to improve annotation processes.
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Medical Microbiology Consultant - Remote

micro1 AI

Aurora, CO • Remote

$70 - $90/hr

Part-time

Posted 13 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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