
FAQ
Horizon is the talent network for LILT’s proprietary AI evaluation platform, Applied AI, designed to bring structured human expertise into every stage of the model lifecycle.

Questions & Answers
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Who can apply for these AI data jobs?
These opportunities are open to experienced AI data experts with prior work in annotation, labeling, transcription, evaluation, or review. We welcome professionals who bring strong judgment, attention to detail, and a commitment to high-quality AI training data.
What types of AI data work are available?
Work spans annotation, labeling, transcription, review, and evaluation tasks. Specific assignments vary by language pair, domain expertise, and the current needs of Horizon’s AI models.
Is this paid data annotation and evaluation work?
Yes. All work is paid, with compensation that varies by project complexity, language, and required expertise. You see the rate for each task before you accept it.
Which domains are supported?
Horizon supports multilingual projects across a wide range of languages and subject-matter domains. The mix shifts based on current customer demand, so new languages and specialties are added regularly.
How does human-in-the-loop AI work?
Domain experts label, review, and evaluate model outputs at every stage of the training pipeline. This human judgment is what improves accuracy, catches edge cases, and reduces bias in the final model.
What is the application process like?
The process is short and streamlined. You select your area of expertise, complete a brief application, and run through a small validation task so we can match you to the right projects.
How long does it take to hear back?
Response times vary depending on current project demand and the kind of expertise we’re looking for. We follow up as soon as a project that matches your profile becomes available.
How and when are payments made?
Payments are issued within our standard payment windows after work is completed and approved. You see the breakdown for every task in your dashboard.
Will there be consistent AI data projects available?
Project flow depends on customer training needs, but recurring work is common — many of our experts come back to the same project streams over multiple weeks or months.
How flexible is the workload?
Horizon is flexible contract work. You choose which projects to take on based on your availability, and you can pause or adjust your commitment at any time.
What quality standards are expected?
Standards are high. Every project has clear guidelines, and we provide structured feedback so contributors can keep improving the quality of their work.
Are there opportunities to grow?
Yes. As your track record builds, you can expand into additional languages, take on more complex assignments, and move into senior review roles.
