AI training contract
Statistician
Science & Research · USD 60-120 an hour. · 50 openings
Statistician is contract work for micro1, reviewing and correcting what AI models produce in science & research. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. USD 60 to USD 120 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 50 openings on this role.
Skills named: Data cleaning and preparation (dirty data), Basic descriptive and inferential statistics, Programming in Python or R for analysis, Data visualization, Communicating findings to a non-technical audience.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Statistician Role Type: Contractor Location: Remote micro1 is selecting Statistician to contribute expert knowledge to a customer project focused on advancing data-driven solutions. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work Clean, preprocess, and structure complex and messy datasets using advanced statistical software (such as R, Python, SAS, or Stata). Apply and document basic descriptive and inferential statistical analyses to uncover trends and patterns in real-world data. Develop clear and compelling data visualizations to illustrate key findings and support model development. Contribute expertise in dataset annotation, labeling, or enrichment to enhance the quality of AI model training datasets. Draft concise, well-organized written summaries of methods, analyses, and results for a non-technical audience. Collaborate asynchronously with project stakeholders to clarify requirements, resolve ambiguities, and improve deliverables through effective written and verbal communication. Continuously identify data quality issues, provide actionable recommendations, and document solutions for handling dirty or incomplete data. Preferred Qualifications Advanced degree (MS or PhD) in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative field. Expertise in cleaning and preparing complex, messy (“dirty”) datasets with R, Python, SAS, or Stata. Proficiency in basic descriptive and inferential statistical techniques, including hypothesis testing and regression analysis. Strong programming skills in Python or R for statistical analysis, data manipulation, and visualization. Demonstrated ability to communicate complex findings to non-technical and technical audiences with clarity and precision. Experience working with large, unstructured, or noisy datasets across a variety of domains. Excellent written and verbal communication skills, with a focus on detailed documentation and collaboration in remote environments.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.