Label Shoppable Video Transcripts for Sales Attribution

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect people with paid projects that teach and improve modern AI systems. OpenTrain AI is the hiring and contracting organization for this role.

Why AI Training Work Matters

AI models learn from examples prepared and reviewed by people. Labeling tasks like this directly shape how models understand marketing and commerce language in short videos, and contributors get flexible, remote work that helps define the next generation of AI.

This role is remote-friendly and fits people looking for part-time, flexible work that leverages strong language skills and attention to nuance.

The Role

You will label 10,000 shoppable video transcripts to indicate the presence or absence of roughly 30 video features (for example: urgency, mention of a discount, calls to action, product mentions). The work is text-based annotation and includes both classification and entity-style tagging.

• Employment type: Contractor, Part-time
• Workload: 20+ hours per week
• Location: Worldwide (remote)

What You'll Do

Review transcript text from short social-media videos and mark whether each of the listed features appears. Tasks require detecting nuance in phrasing (tone, implied urgency, promotional language) and applying consistent labels across many examples.

You will perform multiple label types: binary/multi-class classification, entity (NER-style) tagging for relevant spans, and annotations suitable for fine-tuning language models.

• Label ~10,000 transcripts for ~30 features each
• Apply classification and entity annotation consistently
• Work using OpenTrain AI's internal proprietary tooling

Requirements

This is an intermediate-level annotation role. Do not apply unless you have a very strong command of English and comfortable detecting subtle meaning and tone in short promotional text.

All facts below are required for this project as provided:

• Strong command of English to detect nuance
• Intermediate experience level in annotation or related text work
• Available 20+ hours per week
• Able to work worldwide as an independent contractor
• Willing to use internal proprietary labeling software

Pay, Scope, and Tools

This project is offered as a fixed-price contract for the scope described. The posted total is USD 425 for the assignment as listed.

Data type: text (transcripts). Label types: CLASSIFICATION, ENTITY_NER_CLASSIFICATION, FINE_TUNING. You will use OpenTrain AI's internal proprietary tooling to complete annotations.

• Payment type: Fixed price (USD 425)
• Scope: 10,000 transcripts; ~30 features per transcript
• Labeling software: Internal proprietary tooling

How to Apply

Create an OpenTrain account (free), complete your profile, and apply to this project. Include brief notes about your annotation experience and confirm your availability for 20+ hours/week.

Because this work relies on fine-grained English comprehension, examples of past text-review, annotation, or related work will help your application stand out.

• Apply through your OpenTrain profile
• Mention relevant annotation experience and weekly availability