This ongoing initiative helps refine machine learning systems across a variety of formats and subject matters. Your work directly contributes to improving model accuracy, safety, and reasoning capabilities.

You will log into our remote platform to access a queue of diverse annotation assignments. Depending on the current batch, you might categorize text, highlight specific entities, or evaluate AI-generated responses for quality. You will work through these assignments independently and at your own pace. The project features rolling availability, allowing you to seamlessly fit the work around your existing schedule.

• Review text or media samples based on provided project guidelines.
• Apply accurate labels and categorizations to diverse data sets.
• Evaluate AI-generated responses for clarity, safety, and factual accuracy.
• Manage your own time to complete assignments at your preferred pace.

We are looking for detail-oriented individuals with prior experience in data annotation, data labeling, or AI model evaluation. We welcome freelance labelers, QA testers, content moderators, and machine learning data specialists. You must be comfortable working independently and adapting to new labeling guidelines as project parameters evolve.

• Prior professional experience with data annotation or labeling.
• Strong attention to detail and ability to follow complex guidelines.
• Comfortable working independently on a remote basis.
• Familiarity with evaluating AI outputs or machine learning datasets.

Work arrangement: Fully remote

Eligible countries: United States

• For US Data Annotators and AI Trainers (18+).
• Know a US-based professional over 18 with at least one year of paid experience in data annotation or AI training?
• Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
• We are unable to support H1-B or STEM OPT candidates at this time.

• Payments are processed weekly based on services rendered.