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Mathematics micro1

Statistician

Micro1 • Remote

Education

PhD

Type

Hourly

Pay Rate

$60–$120/hr

Actively Hiring

50 openings

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About this role

From the Micro1 listing

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.

Requirements

  • 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
  • Must be eligible to work in Remote

How long hiring takes

Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.

Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%

Interview Prep

This listing calls for this tool directly. Prep for the technical screen:

Key responsibilities

  • 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.

Why this role

Micro1's Statistician role, in the Mathematics domain, pays $60-$120 per hour for statisticians who can clean messy data, run descriptive and inferential analysis in Python or R, and visualize the results. The project focuses on advancing data-driven solutions, so translating statistical findings for a non-technical audience is as important as the analysis itself. This role suits someone comfortable owning a dataset from raw cleanup through to a clear final explanation.

Talent pool

We're light on Mathematics candidates

We've matched 65 people with a Mathematics background against 726 Mathematics listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.

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Common questions

What does the Micro1 application process look like?

Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.

Can I apply to Micro1 from outside the US or UK?

Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.

What does task-based AI training work look like?

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

What does asynchronous AI training work mean in practice?

No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.

What does Mathematics work look like for a Statistician ?

Tasks here are scoped to Mathematics, not generic labeling. As a Statistician , expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Mathematics) rather than following a one-size-fits-all rubric. If you don't have hands-on Mathematics background, this is likely not the right listing to start with.

What specific skills does this listing call for?

Data cleaning and preparation (dirty data), Basic descriptive and inferential statistics, Programming in Python or R for analysis, and Data visualization are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.

What does the 'openings' count on this listing mean?

It's Micro1's live count of how many candidates it's still trying to place for this specific role, 50 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.

How much does this specific role pay?

This listing is posted at $60–$120/hr, an hourly rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.

What happens when I click Apply on this listing?

You'll be taken to Micro1's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.

Is a PhD required?

For this specific role, yes, or near-equivalent professional depth. The credential gate is enforced at the assessment stage, not just on paper. That said, active PhD candidates and people with equivalent published research have qualified without a formal degree. The assessment is the real filter.