Data Scientist Expert, AI Model Evaluation

The work

Create realistic analytical problems based on practical data science work, then write complete reference answers that explain the reasoning behind each step. You will also review analytical approaches and catch subtle statistical or methodological errors.

• Create and solve problems involving experiments, metrics, forecasting, segmentation, and predictive modeling.
• Assess whether analytical methods are sound and explain decisions clearly so model responses can be evaluated consistently.

What it pays and takes

• Pay: $115 per hour.
• Location: Open to candidates in the United Arab Emirates, Antigua and Barbuda, Albania, Armenia, Austria, Australia, Bosnia and Herzegovina, Belgium, Bulgaria, Bahrain, Benin, Brunei, the Bahamas, Bhutan, Botswana, Canada, Switzerland, Côte d’Ivoire, Costa Rica, Cyprus, Czechia, Germany, Denmark, Algeria, Ecuador, Estonia, Spain, Ethiopia, Finland, and France.
• Location: Also open to candidates in the United Kingdom, the Gambia, Greece, Guatemala, Guyana, Hong Kong, Croatia, Hungary, Indonesia, Ireland, Israel, India, Iceland, Italy, Jamaica, Jordan, Kenya, Kuwait, Saint Lucia, Liechtenstein, Sri Lanka, Lithuania, Luxembourg, Latvia, Morocco, Moldova, Madagascar, North Macedonia, Mongolia, Malta, and Mauritius.
• Location: Also open to candidates in Mexico, Malaysia, Mozambique, Namibia, the Netherlands, Norway, New Zealand, Oman, Panama, Peru, the Philippines, Pakistan, Poland, Portugal, Qatar, Romania, Serbia, Rwanda, Sweden, Singapore, Slovenia, Slovakia, Senegal, El Salvador, Thailand, Tunisia, Turkey, Trinidad and Tobago, Taiwan, Tanzania, the United States, Uzbekistan, Vietnam, and South Africa.
• At least three years of full-time experience working as a data scientist.
• A master’s or PhD in statistics, computer science, economics, mathematics, or another quantitative field.
• Strong SQL skills and proficiency in Python or R, plus hands-on experience with A/B testing, regression, causal inference, or predictive modeling.
• Helpful experience includes working on product, growth, or marketplace teams; designing and presenting experiments; and explaining analyses step by step. Clear written English is also helpful.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses examples created and reviewed by people to help improve AI models. OpenTrain helps people find AI training and data-labeling roles and start applications, with a free account. Experienced data scientists are valued for the judgment needed to catch analytical errors and produce clear, reliable reference answers.