Product Analyst - AI Trainer
location_onWest Buchanan Street, California, Moniteau County, Missouri, 65018, United States
Job Description
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.
Work location
Work model: Remote
West Buchanan Street, California, Moniteau County, Missouri, 65018, United States
Missouri
Key Responsibilities
- check_circleEvaluate AI-generated quantitative work for technical accuracy and real-world validity
- check_circleDesign and solve quantitative problems to train and benchmark AI systems
- check_circleWrite clear technical explanations and well-documented analytical code
- check_circleProvide feedback to shape the next generation of AI models for quantitative reasoning
Requirements
- verified2+ years of hands-on experience in a quantitative role or research environment
- verifiedCoding experience required, comfort writing and reviewing analytical code end-to-end
- verifiedPractical experience with statistical methods, predictive modeling, and experiment design
- verifiedFluency in English (native or bilingual level) with strong writing skills
- verifiedBachelor's degree in a quantitative field preferred (Statistics, CS, Math, Engineering, or similar)
- verifiedAvailable to work in the US, Canada, UK, Ireland, Australia, or New Zealand
Benefits & Perks
Skills, education and keywords
Skills: data science, statistics, economics, finance, physics, biology, epidemiology, operations research, coding, analytical code.
Education: Bachelor's degree in a quantitative field is preferred.