Join the DataAnnotation team and contribute to developing cutting‑edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‑world quantitative experience to validate whether the outputs actually hold up in practice.
That's where you come in.
As a member of DataAnnotation's team, you'll work closely with state‑of‑the‑art AI models on tasks like evaluating AI‑generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full‑time role, while others treat it as their primary focus.
To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.
Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.
#J-18808-LjbffrGrowth Analyst - AI Trainer • HI, USA
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