Overview The newest models can spin up a full analysis in minutes
- load the data, pick a method, produce charts and a confident conclusion. Someone has to check whether the statistics actually hold up, and that someone is you. As a Data Scientist you’ll evaluate AI-generated analyses on real datasets, stress-test the reasoning behind them, and write the judgments that teach the next generation of models what rigorous data work looks like. What you’ll actually do
• Evaluate AI-built analyses on real datasets: the method choice, the assumptions, and whether the conclusion actually follows from the numbers.
• Red-team the statistics to expose leakage, p-hacking, confounded comparisons, and confident nonsense before real users trust them.
• Write the better analysis when the model falls short: sound methodology, honest uncertainty, clear takeaways. Roles this fits Common backgrounds: Data Scientist, Data Analyst, Analytics Engineer. What we look for




• Professional or academic experience doing real data analysis
- industry, research, or responsible independent work.
• Fluency with the standard toolkit; most tasks use Python, SQL, and notebooks.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it. Compensation Up to $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income. About DataAnnotation DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available. Apply now Hourly rate up to $150+ / hour Commitment Flexible hours Type Independent contractor Payouts Weekly Apply now

📌 Data Scientist (Australia)
🏢 DataAnnotation
📍 Australia