Data Science Consultant - AI Trainer
location_onLiberty Tree Advertising, 1125, 6th Street, Nevada, Nevada Township, Story County, Iowa, 50201, United States
Job Description
About the Team
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.
Work location
Work model: Remote
Liberty Tree Advertising, 1125, 6th Street, Nevada, Nevada Township, Story County, Iowa, 50201, United States
Nevada, Iowa
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 that shapes 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, Mathematics, Engineering, or similar)
- verifiedAvailable to work in the US, Canada, UK, Ireland, Australia, or New Zealand
Benefits & Perks
Skills, education and keywords
Skills: aws, gcp, statistical analysis, predictive modeling, scientific reasoning, data driven insights, forecasting, experimental analysis, optimization, statistical inference.
Education: Bachelor's degree in a quantitative field is preferred.