Remote AI Researcher & Trainer — Quantitative Reasoning
location_onLiberty Tree Advertising, 1125, 6th Street, Nevada, Nevada Township, Story County, Iowa, 50201, United States
Job Description
About the Role
A cutting-edge AI development company is seeking experienced quantitative professionals to join their team as a Remote AI Researcher & Trainer. This role is designed for individuals with a strong background in data science and statistical methods who are passionate about advancing artificial intelligence systems.
The Opportunity
In this position, you will play a pivotal role in the development and refinement of AI models. Your primary focus will be on evaluating AI-generated analyses, designing complex quantitative problems, and providing essential feedback to improve AI system performance. This is an opportunity to work at the forefront of AI research, applying your expertise to solve challenging problems and shape the future of intelligent systems.
Work Environment
This position offers a fully remote work model, providing the flexibility to work from anywhere. The role features flexible scheduling, allowing you to manage your time effectively while delivering high-quality contributions to the team. You will collaborate with a dynamic team of researchers and developers, contributing to a culture of innovation and continuous improvement.
Compensation
The position offers competitive pay, with projects billed at up to $60 per hour, reflecting the specialized nature of the work and the expertise required.
Work location
Work model: Remote
Liberty Tree Advertising, 1125, 6th Street, Nevada, Nevada Township, Story County, Iowa, 50201, United States
Iowa
Key Responsibilities
- check_circleDesign quantitative problems for AI training and testing
- check_circleProvide feedback on AI systems to improve performance
- check_circleEvaluate AI-generated analyses for accuracy and quality
Requirements
- verifiedHands-on experience in data science or related fields
- verifiedCoding skills
- verifiedStrong understanding of statistical methods