- Experience
- 3+ yrs
- Salary
- USD 50 – USD 100 / hour
- Openings
- 1
- Posted
- 5時間前
- Work mode
- In office
- Education
- Bachelor's degree in a quantitative field preferred
- Eligibility
- Applicants must reside in the United States, Canada, United Kingdom, Ireland, Australia, or New Zealand. This role is open to independent contractors with quantitative expertise.
- Resume
- Required to apply
Job description
About the Role
We seek quantitative experts experienced in fields such as data science, astrophysics, economics, biostatistics, or operations research to collaborate with advanced AI models. Your core tasks will involve assessing AI-generated quantitative analyses, troubleshooting technical issues, and delivering insights that influence AI's approach to data and scientific challenges.
This position accommodates those looking to supplement another job or dedicate their full time to it. After registering and completing a brief assessment that acts as our interview, successful applicants will gain access to paid engagements through our platform.
Work Advantages
- Freedom to select projects and set your working hours.
- Operate remotely using your own equipment from your preferred location.
- Compensation is hourly, starting between $50 and $100 or higher, with additional bonuses for select assignments.
Key Responsibilities
- Review AI-produced quantitative outputs including statistical analysis, forecasting models, and scientific reasoning to verify their technical correctness and applicability.
- Create and address quantitative challenges that aid in training and evaluating AI capabilities across forecasting, experimental setups, optimization, and inference.
- Draft comprehensive technical summaries and maintain well-documented analytical codebases.
- Provide actionable feedback that directly enhances future AI quantitative reasoning models.
Candidate Requirements
- Minimum three years’ practical experience within quantitative domains such as statistics, economics, finance, physics, biology, epidemiology, or related research environments.
- Proficiency in coding, with the ability to write and review full analytical scripts.
- Hands-on knowledge of statistical approaches, predictive analytics, and experimental design methods, including A/B testing, hypothesis testing, regression techniques, classification, and time-series forecasting.
- Highly fluent English communication skills, both written and verbal.
- Preferred educational qualifications include a bachelor’s degree in quantitative disciplines like Statistics, Computer Science, Mathematics, or Engineering; Master’s or PhD degrees enhance candidacy.
- Additional merits include credentials such as Kaggle rankings or certified machine learning expertise via AWS or GCP.
Additional Details
Compensation is issued through PayPal, with no fees required from applicants. Currency exchange from USD is managed by PayPal. Eligibility is restricted to residents of the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand. This is a contractual engagement for independent contractors.