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Data Science micro1

Art Related Professional for Data Annotation

Micro1 • Remote • Posted 46 days ago

Education

Any

Type

Pay Rate

$42.5/task

Posted

46d ago

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About this Role

Job Summary

Join our customer’s team as an Art Related Professional for Data Annotation and play a pivotal role in shaping the future of AI-powered creative tools. We are seeking an innovative and detail-oriented individual with an art background and hands-on experience in data annotation or AI training. If you have a keen eye for artistic details and a passion for contributing to cutting-edge technology, this opportunity is for you.

Key Responsibilities

Analyze and annotate diverse visual content, ensuring high-quality data for AI models. Utilize your artistic expertise to interpret and label images, videos, or other art-related media. Collaborate closely with team members to refine annotation processes and standards. Maintain accuracy and consistency across large volumes of annotated data. Offer insights on artistic elements such as composition, color, and style to enhance data labeling accuracy. Communicate effectively in written and verbal formats to relay feedback and suggestions. Stay updated on trends in art and data annotation best practices.

Required Skills and Qualifications

Bachelor’s degree or higher in an art-related discipline (e.g., Graphic Design, Fine Art, Painting, Video Editing, Photography, etc.). Minimum 6 months’ professional experience in data annotation or AI model training. Demonstrated expertise in one or more visual art forms. Excellent attention to detail and visual analysis skills. Proven ability to work independently and manage time efficiently in a remote setting. Strong written and verbal communication skills—this is highly valued. Collaborative mindset with the drive to work seamlessly with the customer’s team.

Preferred Qualifications

Experience working with annotation tools or AI platforms tailored to visual media. Familiarity with machine learning workflows or digital content management systems. Portfolio showcasing past annotation or art-related projects.

Requirements

  • Must be eligible to work in Remote
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Data Science

Key Responsibilities

  • Analyze and annotate diverse visual content, ensuring high-quality data for AI models.
  • Utilize your artistic expertise to interpret and label images, videos, or other art-related media.
  • Collaborate closely with team members to refine annotation processes and standards.
  • Maintain accuracy and consistency across large volumes of annotated data.

Compensation Analysis

Work from anywhere, at any time. This fully remote position ($42.5/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.

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Frequently Asked Questions

How is this different from the others?

Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.

What is the catch?

Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.

What does the work actually look like?

It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.

How flexible is the schedule?

Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.

Is there an interview?

Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.

What is the interview like?

You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.