micro1 is contracting statisticians to produce and review statistical work — cleaning messy data, running descriptive and inferential analyses, and documenting methods — as training and evaluation material for AI models. Work is remote, asynchronous, and contract-based, with observed rates in the $60–120/hr range depending on credentials and task type.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

What the work actually involves

You are not building a production model. You are producing statistical artifacts that a model can learn from, or judging whether a model's statistical output would survive review. In practice that means taking a deliberately messy dataset — inconsistent coding, missing-not-at-random columns, duplicated IDs, mixed units — and working it into an analyzable state while writing down every decision you made and why. From there, tasks range across descriptive summaries, hypothesis tests, regression fits, and visualizations, each paired with a plain-language write-up of what the result does and does not support.

A large share of tasks are evaluative rather than generative: a model has produced an analysis plan, a block of R or Python, or an interpretation of a p-value, and you decide whether it is correct, subtly wrong, or confidently wrong. The subtle cases carry most of the weight — a regression that runs cleanly but ignores clustering, a chi-square applied to sparse cells, a causal claim smuggled into an observational summary. Your rationale matters as much as your verdict, because the rationale is what trains the model.

What the screen looks for

micro1's screening is AI-led and follow-up heavy. It probes whether your stated degree and software experience translate into judgment: how you handle missingness you cannot explain, when you would decline to run a test at all, how you'd explain a confidence interval to someone who will misread it as a probability about the truth. Expect to be asked for specific datasets and specific decisions, not methodology in the abstract. Fluency in at least one of R, Python, SAS, or Stata is assumed and will be checked conversationally.

Logistics

Fully remote, contractor engagement, no fixed schedule
Asynchronous collaboration with project stakeholders, mostly in writing
Part-time commitments are common; availability is usually stated as hours per week
Observed pay $60–120/hr, varying by degree level, task complexity, and review tier — a band, not a guarantee
No prior AI or ML experience required

Statistician

What the work actually involves

What the screen looks for

Logistics

Interview prep — 10 questions