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Video And Audio AI Data Reviewer

Review short video and audio clips, assess AI-generated descriptions, and provide precise feedback that improves training data quality. This remote, entry-level contract role pays $8 to $10 per hour and requires 20 or more hours weekly.

OpenTrain AI

Image & Video Annotation

Remote Hourly · $8–$10/hr

$8–$10/hr

Compensation

230 countries

Eligibility

Entry

Experience

Sep 14, 2026

Posted

Open to applicants in

Andorra United Arab Emirates Antigua & Barbuda
+227 more
  • Åland Islands
  • Albania
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  • Andorra
  • Angola
  • Anguilla
  • Antarctica
  • Antigua & Barbuda
  • Argentina
  • Armenia
  • Aruba
  • Australia
  • Austria
  • Azerbaijan
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  • Central African Republic
  • Chad
  • Chile
  • Christmas Island
  • Cocos (Keeling) Islands
  • Colombia
  • Comoros
  • Congo - Brazzaville
  • Cook Islands
  • Costa Rica
  • Côte d’Ivoire
  • Croatia
  • Curaçao
  • Cyprus
  • Czechia
  • Denmark
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  • Dominica
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  • Ecuador
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  • Wallis & Futuna
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About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps contributors discover projects, build a professional AI training profile, and apply in minutes.

Creating an OpenTrain account is free. Through this role, you can contribute to the human review work that helps modern AI systems understand and evaluate multimedia content.

About AI Training And Data Review

AI training is the human side of building artificial intelligence. People review, annotate, and evaluate examples so AI models can learn from reliable data and produce more accurate results.

Multimedia reviewers help assess whether descriptions, labels, and evaluations match what appears and sounds in a clip. This work is remote and can offer flexible participation while contributing to the development of cutting-edge AI systems.

The Role

OpenTrain AI is recruiting a Video and Audio AI Data Reviewer to support AI training through detailed review of short video and audio clips. You will examine visual and auditory content, evaluate whether AI-generated descriptions accurately reflect each clip, and provide clear feedback that supports model evaluation and training data quality.

This entry-level contractor role is suited to careful reviewers who can apply explicit guidelines consistently, identify uncertainty, and explain issues clearly. The expected commitment is 20 or more hours per week, with pay ranging from $8 to $10 per hour.

  • Employment type: Part-time contractor
  • Experience level: Entry level
  • Time requirement: 20 or more hours per week
  • Pay: $8 to $10 per hour in USD
  • Language: English
  • Location: Available in the countries listed for this project

What You’ll Do

You will review multimedia content and make careful, guideline-based judgments about its accuracy and clarity. Your feedback will help maintain dependable annotations and improve quality assurance processes.

  • Review short video and audio clips for visual and auditory details.
  • Evaluate AI-generated descriptions against explicit project guidelines.
  • Identify inaccuracies, ambiguities, inconsistencies, and areas of uncertainty.
  • Write concise written and verbal feedback about your findings.
  • Flag content that requires additional clarification.
  • Apply consistent judgment during repetitive content review tasks.
  • Follow project protocols while maintaining annotation quality and data integrity.
  • Suggest practical improvements to annotation and quality assurance processes.

Requirements

No prior AI experience is required. Experience with video or audio annotation, data labeling, or content moderation is helpful, while familiarity with structured content review or guideline-based evaluation is advantageous.

You must be able to communicate detailed feedback in English and work independently in a remote project setting. Protecting confidential data and maintaining accuracy are essential parts of the role.

  • Strong English written and verbal communication skills.
  • Ability to assess visual and auditory accuracy in short clips.
  • Ability to evaluate AI-generated descriptions against clear guidelines.
  • Careful attention to detail and objective judgment.
  • Reliability when completing repetitive review work.
  • Adaptability when learning annotation tools, protocols, and quality standards.
  • Commitment to data confidentiality, annotation quality, and accuracy.

Who Should Apply

This opportunity may suit entry-level contributors with dependable judgment and an interest in how AI systems learn from multimedia. Experience reviewing videos or audio, applying structured guidelines, or providing quality-focused feedback can help you succeed.

When applying, be prepared to explain how you would protect confidential data while maintaining consistent annotation quality. The role is available to English-speaking applicants in the project’s listed countries.

  • Detail-oriented reviewers who can distinguish accurate from inaccurate descriptions.
  • People comfortable making objective decisions under established guidelines.
  • Applicants who can provide clear, concise feedback.
  • Candidates able to commit at least 20 hours per week.
  • Contributors interested in building experience in AI training and data labeling.

How To Apply Through OpenTrain

Create or update your free OpenTrain profile, review the project details, and apply through OpenTrain. Your profile can help you present relevant review experience and build a lasting portfolio as you explore AI training work.

If selected to contract with OpenTrain AI, you will follow the project’s review protocols and quality standards while completing the assigned multimedia evaluation work.

  • Create a free OpenTrain account.
  • Highlight English communication, multimedia review, or guideline-based evaluation experience.
  • Confirm your availability for 20 or more hours per week.
  • Apply through OpenTrain and follow the project instructions.

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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