Shoppable Video Transcript Labeling Specialist

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this opportunity. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build profiles, and apply in minutes.

Creating an OpenTrain account is free, and this role can connect your language skills with practical work supporting the development of modern AI systems.

About AI Training and Data Labeling

AI training is the human side of building artificial intelligence. People prepare and review examples that help AI systems understand language, identify patterns, and produce more useful results.

In this project, you will work with text from shoppable social media videos. Your labels will capture sales-related signals and language nuances that can support AI models used to analyze video transcripts.

  • Remote work that can be completed from anywhere worldwide
  • Flexible part-time project work for contributors who can commit 20 or more hours per week
  • A direct opportunity to contribute to fast-growing AI training and data-labeling work

The Role

OpenTrain AI is seeking an intermediate-level contributor to label 10,000 video transcripts from shoppable social media content. You will review each transcript and identify whether specific sales-related features are present or absent.

The labeling framework includes approximately 30 video features. Examples include urgency and mentions of discounts, with the work requiring close attention to wording, context, and nuance in English.

  • Role type: Part-time contractor
  • Workload: 20 or more hours per week
  • Project payment: $425 fixed price
  • Data format: Text transcripts
  • Work location: Worldwide

What You'll Do

You will use OpenTrain's internal proprietary labeling tools to review shoppable video transcripts and apply the appropriate labels. The project includes classification, entity NER classification, and fine-tuning labels.

Consistent decisions are important because the transcripts may use subtle wording to communicate promotions, urgency, or other sales-attribution signals.

  • Review transcripts from shoppable videos on social media
  • Label the presence or absence of approximately 30 defined video features
  • Detect nuanced English phrasing and sales-related meaning
  • Apply classification, entity NER classification, and fine-tuning labels
  • Complete labeling across a dataset of 10,000 transcripts

Requirements

This project requires a very strong command of the English language. You should be able to interpret nuance in transcript text and distinguish whether a defined feature is present or absent.

The listing identifies the opportunity as intermediate level. No additional skills, languages, country restrictions, or specialized subject-matter qualifications are specified.

  • Very strong command of English
  • Ability to detect nuance in written transcript text
  • Intermediate experience level
  • Availability of 20 or more hours per week
  • Ability to work as a part-time contractor

Who Should Apply

This role may suit careful English-language reviewers who enjoy structured text classification and can make consistent judgments across a large transcript dataset. It is especially relevant for contributors interested in how AI systems learn from real-world language and commerce content.

Because the project focuses on sales features in shoppable videos, successful contributors should be comfortable evaluating promotional wording such as urgency or discount mentions without overlooking subtle context.

  • English-language reviewers with strong attention to nuance
  • Contributors comfortable working through a high-volume text dataset
  • People seeking flexible, remote AI-training contract work
  • Applicants able to commit at least 20 hours per week

How to Apply

Apply through OpenTrain AI to be considered for this transcript-labeling project. After creating a free OpenTrain account, you can build your profile and submit your application in minutes.

If selected, you will use the internal proprietary labeling tooling to complete the assigned transcript classifications under the project's requirements.

  • Create or use your free OpenTrain account
  • Review the project details and submit your application
  • Highlight your English-language strength and attention to nuance
  • Confirm that you can commit 20 or more hours per week
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