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Internship Remote Data Annotation Jobs in Colorado

Alignerr

Oncology Clinical Researcher

Denver, CO · Remote

Self-motivated and comfortable working independently in an asynchronous, remote environment Nice to Have * Prior experience with data annotation, data quality assurance, or AI evaluation systems

Alignerr

Business Performance Analyst

Denver, CO · Remote

Experience with data annotation, data quality assurance, or evaluation systems * Background in case ... Fully remote and flexible - structure your work around your life * Freelance autonomy with the ...

SAIC

Software Engineer Internship

Colorado Springs, CO · On-site +1

$40K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a rising college senior ... System data structures and algorithms (sorting, linked lists, arrays, trees). * Database (SQL)

SAIC

Software Engineer Internship

Colorado Springs, CO · On-site +1

$40K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a rising college senior ... System data structures and algorithms (sorting, linked lists, arrays, trees). * Database (SQL)

Summary

Digital Intelligence Intern

Vail, CO · Remote

$23.96 - $33.55/hr

**This is a fully remote position; however, the selected candidate must live in Colorado and have the ability to travel to Vail during their internship a handful of times** Ready to put your data ...

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Internship Remote Data Annotation information

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Intern, and why are they important?

To thrive as a Remote Data Annotation Intern, you need attention to detail, basic data processing skills, and familiarity with labeling guidelines, generally supported by a high school diploma or relevant coursework. Experience with annotation platforms, spreadsheets, and sometimes basic programming tools or machine learning frameworks is often required. Strong communication, time management, and the ability to follow precise instructions are valuable soft skills in this role. These skills ensure high-quality, accurate data labeling, which is critical for training reliable machine learning models.

What typical tasks can I expect to handle as a remote data annotation intern, and how is performance usually evaluated?

As a remote data annotation intern, your primary tasks will involve reviewing and labeling data—such as images, text, or audio—according to specific guidelines provided by your team. You'll likely work with annotation tools, follow detailed instructions to ensure high-quality and consistent labeling, and may participate in quality assurance checks. Performance is generally evaluated based on annotation accuracy, speed, and your ability to follow instructions, with regular feedback provided via virtual meetings or project management platforms. Effective communication and attention to detail are key to succeeding in this collaborative, remote environment.

What is a remote data annotation internship?

A remote data annotation internship is a temporary position where interns work from home or another remote location to label, categorize, or tag data such as images, text, or audio. This annotated data is often used to train machine learning models and improve artificial intelligence systems. Interns typically use specialized platforms or tools to complete their tasks, and gain hands-on experience in data handling, quality control, and understanding AI workflows. The internship is ideal for those interested in technology, data science, or AI, and often requires strong attention to detail and good communication skills.

What is the difference between Internship Remote Data Annotation vs Data Labeling Specialist?

AspectInternship Remote Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsRelevant experience or certifications in data annotation or related fields
Work EnvironmentRemote, flexible hours, often part-timeRemote or on-site, depending on employer, often full-time
Industry UsageCommon in AI/ML projects, tech companies, research institutionsUsed in AI/ML, autonomous vehicles, healthcare, and tech sectors

Internship Remote Data Annotation roles are usually entry-level, temporary positions aimed at gaining experience, while Data Labeling Specialists are more experienced roles focused on accurately annotating data for machine learning models. Both roles are essential in AI development but differ in experience requirements and job scope.

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Internship Remote Data Annotation jobs near you

Oncology Clinical Researcher

Alignerr

Denver, CO • Remote

Full-time

Posted 10 days ago

Job description

Oncology Clinical Researcher (AI Training)
About the Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology - influencing research that affects patients worldwide? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI training and evaluation workflows.
This is a fully remote, flexible contract role. You don't need an AI background - just a strong foundation in oncology trial design, data analysis, and regulatory standards.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Design and evaluate oncology clinical trial protocols, including study design, patient enrollment criteria, and regulatory compliance standards
    • Analyze cancer trial data - covering safety profiles, efficacy endpoints, and biomarker results - to assess treatment performance and clinical validity
    • Translate trial outcomes into clear regulatory and scientific insights aligned with FDA, EMA, and other agency standards
    • Review and critique AI-generated clinical content for scientific accuracy, clinical relevance, and regulatory alignment
    • Help ensure that AI systems reasoning about oncology data reflect real-world standards and best practices
    Who You Are
    • Experienced in designing and managing oncology clinical trials - from protocol development through data readout
    • Strong analytical background in oncology clinical data, including efficacy endpoints, safety monitoring, and biomarker analysis
    • Familiar with regulatory submission standards for major agencies such as the FDA or EMA
    • Detail-oriented and rigorous - you hold AI-generated outputs to the same standard you'd apply to a real trial report
    • Self-motivated and comfortable working independently in an asynchronous, remote environment
    Nice to Have
    • Prior experience with data annotation, data quality assurance, or AI evaluation systems
    • Background in oncology subspecialties such as hematology, solid tumors, or immuno-oncology
    • Experience contributing to publications, regulatory submissions, or clinical decision-support tools
    • Familiarity with AI tools or clinical data platforms as an end user
    Why Join Us
    • Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
    • Influence how AI models understand, evaluate, and reason about real oncology trial data
    • Fully remote and flexible - work when and where it suits you
    • Freelance autonomy with the structure of meaningful, high-impact work
    • Collaborate with world-leading AI research teams and labs
    • Potential for ongoing work and contract extension as new projects launch

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