Human Feedback-Based LLM Training Example Generation

About OpenTrain

OpenTrain is a central marketplace for AI-training and data-labeling jobs. We aggregate opportunities from multiple AI companies and labeling platforms so contributors can find relevant work in one place.

Creating an OpenTrain account is free, and applying to jobs typically takes only a few minutes.

• Free account and aggregated job listings from many AI projects.
• Apply quickly — most applications take only a few minutes.

About AI Training Work

AI training (also called data labeling, annotation, or human feedback work) is the human effort behind better and safer models. People prepare and review examples that models learn from: annotating images, transcribing audio, rating model outputs, and more.

This role contributes to human-feedback datasets used to teach large language models how to respond to or reason about visual inputs that involve people.

• Work is fully remote and often flexible in hours.
• Many projects are accessible to entry-level contributors; the work directly shapes how AI systems behave.

The Role

You will produce labeled image examples used to build human-feedback datasets for LLM training. Tasks consist of image-level classification of pictures that involve humans, performed inside the CVAT annotation tool.

This is an entry-level, part-time contractor position open to candidates worldwide. The project is offered by OpenTrain AI as a fixed-price contract.

• Data type: IMAGE (subject matter: human).
• Labeling task: CLASSIFICATION using CVAT.
• Employment: Contractor, Part-time; worldwide applicants accepted.
• Time commitment: 20+ hours per week.
• Compensation: Fixed-price contract totaling 127,500 USD.

What You'll Do

Follow detailed labeling guidelines and apply the correct class label to each image in CVAT. Accurately tag images according to project taxonomy and mark items that are ambiguous or need reviewer attention.

Work in batches assigned through the project workflow, deliver completed labels on schedule, and communicate any issues to the project coordinator.

• Open and review assigned image batches in CVAT.
• Apply the correct classification label(s) per the project's guideline document.
• Flag unclear, low-quality, or potentially sensitive images for review.
• Complete and submit labeled batches on time and follow feedback from quality reviewers.

Requirements

This role is entry-level but requires a university degree (Graduate from University). You must be able to commit to 20+ hours per week and work remotely as a contractor.

No specific language or prior labeling experience is required by the listing; familiarity with annotation tools is helpful but not mandatory.

• Education: Graduate from University (required).
• Experience level: Entry-level.
• Availability: 20+ hours per week (part-time contractor).
• Location: Remote — open worldwide.

Payment & Schedule

This engagement is a fixed-price contract. The total contract value is 127,500 USD; this is not an hourly role. Work schedule is part-time and should meet the 20+ hours/week expectation.

Specific payment milestones or disbursement timing will be provided by the hiring team during contracting; the posting confirms the fixed-price payment type and total amount.

• Payment type: FIXED_PRICE.
• Total contract value: 127,500 USD.
• Expected weekly commitment: 20+ hours.

How to Apply

To apply, create a free OpenTrain account and submit a brief application for the OpenTrain AI project. Applying via OpenTrain takes only a few minutes.

Because this is remote and open worldwide, please include confirmation of your university graduation in your application materials.

• Create or sign in to your free OpenTrain account.
• Submit the quick application and confirm you meet the education and availability requirements.
• OpenTrain AI will follow up with next steps for qualified applicants.