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Video Editor

Micro1 Remote Posted 81 days ago

Education

Any

Type

Pay Rate

$40/task

Posted

81d ago

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About this Role

Job Summary

Join our customer's team as a Video Editor and play a pivotal role in shaping next-generation visual AI models. Leverage your expertise in cinematic storytelling to analyze video clips, refine AI-generated scene descriptions, and ensure exceptional visual accuracy and storytelling fidelity. This is a unique opportunity to blend creative editing skills with emerging AI technology in a collaborative, remote-first setting.

Key Responsibilities

Review and edit AI-generated video captions for accuracy, detail, and clarity. Analyze short video clips from movies and TV shows to assess visual content. Identify and describe shot types, camera movements, framing, and character actions using industry-standard cinematic terminology. Provide detailed scene breakdowns, annotating continuity, spatial layout, and narrative flow. Deliver consistent, high-quality feedback to enhance AI scene recognition and understanding. Collaborate with AI development teams to communicate annotation standards and best practices. Maintain meticulous written documentation of edits and feedback to support model improvement.

Required Skills and Qualifications

Proven background in video editing, post-production, film, or related visual media. In-depth knowledge of cinematic language, shot composition, and pacing principles. Exceptional written and verbal communication skills, with a focus on clarity and precision. Expertise in visual storytelling and keen attention to visual details. English language proficiency at native or C2 level. Ability to commit at least 30 hours per week during the project period (approx. 2–4 weeks, with potential for extension). Strong organizational skills and ability to work independently in a remote environment.

Preferred Qualifications

Previous experience annotating video or training AI/ML models in visual media contexts. Familiarity with automated video analysis tools or AI-driven editing software. Background in teaching, training, or providing structured feedback in creative fields.

Requirements

  • Must be eligible to work in Remote
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection

Eligible Languages

Fluent proficiency in English

English

Key Responsibilities

  • Review and edit AI-generated video captions for accuracy, detail, and clarity.
  • Analyze short video clips from movies and TV shows to assess visual content.
  • Identify and describe shot types, camera movements, framing, and character actions using industry-standard cinematic terminology.
  • Provide detailed scene breakdowns, annotating continuity, spatial layout, and narrative flow.

Compensation Analysis

Work from anywhere, at any time. This fully remote position ($40/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.