Data Scientist

Data Scientist 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. What we look for Professional or academic experience doing real data analysis — industry, research, or serious 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. How it works Apply Qualify Work & get paid Compensation $75-$150+/hr depending on task difficulty: routine reviews at the lower end, frontier evaluation projects at the top. Many contributors add $10k-$100k+ a year on top of a day job; some make it their full-time work. About DataAnnotation DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available. Practice project is paid Similar roles Software Engineer Machine Learning Engineer Quantitative Analyst © DataAnnotation