Call Recording Sentiment

About OpenTrain

OpenTrain is a central place to find data-labeling and AI-training jobs. We aggregate open positions from many AI companies and labeling platforms so you can discover this kind of work in one place instead of hunting across dozens of sites.

Creating an OpenTrain account is free and applying takes only a few minutes. This listing is for a contract, part-time labeling job posted through OpenTrain AI.

About AI training and data-labeling work

AI training (also called data labeling or annotation) is the human side of building artificial intelligence. People prepare and review examples—like audio, text, and images—that teach models how to understand and respond to real-world inputs.

This role focuses on audio sentiment classification: your judgments directly shape how systems understand customer emotion in support calls. Work is typically remote and flexible, and many projects require no prior experience.

The role

You will listen to short customer support call recordings and classify the caller's sentiment. Each recording lasts 2–5 minutes.

This is an entry-level, contractor, part-time role open worldwide. The project expects less than 20 hours of work per week and does not require prior experience.

• Job type: Contractor, Part-time
• Workload: Less than 20 hours/week
• Location: Remote — worldwide

What you'll do

For each audio file you receive, listen to the call and assign one of five sentiment labels describing the customer's emotion during the call.

Follow provided guidelines and use the annotation tool labeled as 'OTHER' to submit your classifications.

• Label each call with: overly-negative, negative, neutral, positive, or overly-positive
• Each call is 2–5 minutes long
• Work in a web-based or supplied annotation interface (listed as OTHER)

Requirements

No prior experience is required; the project is suitable for entry-level contributors. You must be able to listen carefully and make consistent judgments about sentiment.

There are no specific language or country restrictions listed for this job.

• Experience level: Entry level — no prior experience needed
• Languages: No language requirement specified
• Countries: Open to contributors worldwide

Compensation and scope

Payment for this task is a fixed price of USD 100. The listing specifies a fixed-price payment; no hourly or per-label rate is provided.

Because the project is billed as a fixed-price job, confirm deliverables and scope with the project coordinator before starting to ensure expectations are clear.

• Payment type: Fixed price — USD 100
• No hourly rate or per-label rate provided

How to apply

If this sounds like a good fit, apply through OpenTrain. Applications are quick—create a free OpenTrain account and submit your interest for this listing.

After you apply, you may receive onboarding instructions, labeling guidelines, and access to the annotation tool to begin work.

• Apply through OpenTrain (opentrain.ai)
• You will receive project guidelines and access to the annotation platform after selection