Biostatistics AI Training Expert (English)

Create realistic statistical problems and complete reference answers for evaluating AI models. Your work will draw on practical biomedical statistics and the judgment needed to spot methods that are plausible but incorrect.

• Write problems about clinical trial design, survival analysis, dose-response analysis, or genetic studies.
• Explain the statistical reasoning behind each step of an analysis.
• Identify methodological errors that require experienced judgment to recognize.
• Ground problems in clinical, epidemiological, or genetic data experience.

What it pays and takes

• Pay: $115 per hour, with weekly payment via Stripe.
• Work arrangement: Remote independent-contractor work with ongoing projects.
• 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, France, the United Kingdom, the Gambia, Greece, Guatemala, and Guyana.
• Location: Also open to candidates in 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, Mauritius, 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, Türkiye, Trinidad and Tobago, Taiwan, Tanzania, the United States, Uzbekistan, Vietnam, and South Africa.
• Education: A master’s or PhD in biostatistics, statistics, epidemiology, statistical genetics, or pharmacometrics.
• Experience: At least three years in a full-time statistical role, with hands-on experience using clinical, epidemiological, or genetic data.
• Skills: Working knowledge of R, SAS, or Python for statistical analysis, and strong written English with the ability to explain analyses clearly.
• Helpful experience: Trial design, survival or mixed models, pharmacokinetic or pharmacodynamic models, or genetic association studies.

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 human-created examples and reviews to help improve AI systems. Experienced biostatistics professionals are needed to create and assess statistical problems where sound methods and careful reasoning matter.