- Experience
- 2+ yrs
- Salary
- USD 50 – USD 100 / hour
- Openings
- 1
- Posted
- 6 days ago
- Work mode
- Work from home
- Education
- Bachelor's degree in a quantitative field preferred
- Eligibility
- Applicants must be located in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand. The role is suited to quantitative professionals and researchers from fields such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, an…
- Resume
- Required to apply
Job description
About the role
This position is for quantitative specialists who want to help train AI systems. The work centers on assessing AI-produced analytical output, tackling technical challenges, and giving feedback that helps improve how models reason through data, scientific questions, and quantitative problems.
People from a wide range of analytical backgrounds can be a fit, including data science, astrophysics, economics, biostatistics, operations research, and similar fields. The role can suit both professionals who want to supplement a full-time job and those looking to make it their main work.
After creating an account, you will complete a short assessment that acts as the screening step. Candidates who pass will receive confirmation by email, after which paid tasks become available on the platform.
What contracting with us offers
- Choose the projects you want to take on and decide when you work on them.
- Work from your own computer, on your own timetable, from home.
- Hourly project pay starts at USD 50 to USD 100+, with some tasks offering additional bonus rates.
Responsibilities
- Review AI-generated quantitative outputs for correctness, including statistical analysis, predictive modeling, scientific reasoning, and data-led conclusions.
- Create and solve quantitative tasks used to train and evaluate AI systems across forecasting, experimentation, optimization, and statistical inference.
- Produce clear technical write-ups and maintain well-structured analytical code.
- Share feedback that helps improve the next generation of AI models focused on quantitative reasoning.
Qualifications
- At least 2 years of practical experience in a quantitative role or research setting, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a related area.
- Some coding experience is required, including comfort with writing and reviewing analytical code from start to finish.
- Hands-on experience with statistical techniques, predictive modeling, and experiment design, including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
- Strong English fluency at a native or bilingual level, along with excellent written communication skills.
- A bachelor’s degree in a quantitative discipline is preferred, such as Statistics, Computer Science, Mathematics, Engineering, or a similar field; a master’s degree or PhD is an added advantage.
- Additional proof of expertise is a plus, such as a strong Kaggle ranking, AWS/GCP machine learning certifications, or equivalent experience.
Additional information
Payment is handled through PayPal, and no fees or upfront payments are required from applicants. PayPal will manage any currency conversion from USD. Applicants will only be considered if they are based in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand. This is an independent contractor arrangement.
Tags
#datascience