Call Recording Sentiment Rater (Audio Classification)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect people with flexible AI training projects so contributors can start and grow careers teaching AI — creating annotations and feedback that directly shape how models behave.

Creating an OpenTrain account is free. OpenTrain AI is the hiring and contracting organization for this role.

About AI training work

AI training (also called data labeling or annotation) is the human work behind modern AI systems. Tasks include listening, labeling, and evaluating examples that teach models to understand language, audio, images, and more.

This role sits at the intersection of customer support and speech understanding: your annotations help models learn to recognize customer sentiment in real-world calls.

The role

Classify recorded customer support calls by the customer's sentiment. Each recording is 2–5 minutes long and must be labeled with exactly one of five sentiment categories: overly-negative, negative, neutral, positive, or overly-positive.

This is an entry-level, part-time contractor role that fits well as flexible work. No prior experience is required.

• Data type: audio call recordings (2–5 minutes each).
• Label type: classification (one label per call).
• Sentiment labels: overly-negative, negative, neutral, positive, overly-positive.

What you'll do

Listen carefully to each call and assign the single sentiment label that best describes the customer's overall tone and attitude during the call. Follow the project's labeling instructions and examples to ensure consistent judgments.

Work at your own pace within the project's time expectations; many contributors complete tasks in short sessions that fit around other commitments.

• Review each 2–5 minute recording and choose one sentiment label.
• Apply labeling guidelines and examples provided with the assignment.
• Deliver accurate, consistent labels so models learn realistic customer behavior.

Requirements

No prior experience is required — this project is open to entry-level contributors. You should be comfortable listening to short audio recordings and making clear judgments about customer sentiment.

The project is open worldwide and accepts contract contributors. Specific language requirements are not listed; follow the assignment details for any language expectations.

• Experience level: entry level — no other experience needed.
• Time commitment: less than 20 hours per week.
• Employment type: contractor, part-time.

Compensation & time

Compensation is a fixed price of USD 100 for the labeling project as listed. Time commitment is expected to be under 20 hours per week, making this a flexible, part-time opportunity.

Worldwide applicants are welcome. Specific payment schedule and milestone details will be provided through OpenTrain when you are onboarded.

• Pay type: fixed price (USD 100).
• Schedule: flexible, under 20 hours/week; contractor role.

How to apply

Create or sign in to your OpenTrain account and submit your application for this project. OpenTrain will manage contracting and access to the labeling tasks.

If selected, you'll receive the project's labeling instructions and any qualification steps required to begin. Start contributing remotely and build experience in AI training work.

• Open to contributors worldwide; create a free OpenTrain account to apply.
• Onboarding materials and labeling instructions will be provided after selection.