AfterQuery
AfterQueryVerified listing
RemoteHot

Statistician & Experimentation Expert - Remote Contract

80–150/hr
Remote
Posted August 29, 2026
Contract
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Listing checked September 22, 2026 · pay as published by AfterQuery

Overview

AfterQuery hires statisticians and experimentation specialists to create the statistical scenarios that frontier AI labs use when testing model reasoning. The work centers on causal inference, A/B testing and study design, with each assignment moving from scenario authoring to answer keys and grading. This contract runs 10 hours per week, remote and async, and pays $80 to $150 per hour with payments each week through Stripe. You set your own hours while contributing to ongoing project work in the Data Analysis group.

What You'll Do4

  • 1Author realistic statistics scenarios covering study design, analysis and interpretation.
  • 2Write reference answers that explain the statistical reasoning behind each modeling choice.
  • 3Grade model output for methodological soundness and correct interpretation.
  • 4Flag analyses that appear rigorous but lead to invalid conclusions.

Requirements8

  • 1Advanced degree in statistics, biostatistics or another quantitative field.
  • 22+ years of applied statistics or experimentation experience.
  • 3Depth in experimental design, causal inference or A/B testing.
  • 4Fluency in R or Python for statistical analysis.
  • 5Ability to commit at least 10 hours per week.
  • 6PhD in statistics, biostatistics or econometrics (preferred).
  • 7Experience with large scale experimentation platforms (preferred).
  • 8Bayesian methods or advanced causal inference such as instrumental variables or synthetic control (preferred).

Who Should Apply

The ideal candidate holds an advanced degree in statistics, biostatistics or a related quantitative area and has at least two years of applied statistics or experimentation work. You should be comfortable with experimental design, causal inference or A/B testing, and able to write R or Python code for analysis. The role suits someone who can critique model output and explain why a modeling choice is sound or flawed. Candidates who only run analyses without questioning study design or interpretation will score low, and applicants who cannot commit 10 hours each week should not apply. A common rejection reason is claiming expertise in causal inference without concrete examples of A/B tests or experiments you designed and analyzed.

Salary Insight

Pay runs $80 to $150 per hour, based on experience. For contract statistics work tied to AI model evaluation, that range sits above many academic research assistant roles and matches senior applied statisticians or PhD-level causal inference specialists. Payments arrive each week through Stripe.

Pay and demand for Data Science & Analytics roles

Aggregated

Typical pay

$70/hour

This role

$80–$150/hr

Most Data Science & Analytics roles pay $45–$85 per hour. This role's pay sits above that range.

Based on 120 similar roles that publish pay · 18 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Most requested skills · share of roles

  • python
    26%
  • data analysis
    15%
  • excel
    13%
  • data interpretation
    11%

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Location

Typeremote
LocationRemote
This is a remote position

Compensation

$80–150/hr

Required Skills

statisticsbiostatisticscausal inferencea/b testingexperimental designrpythonbayesian methodsinstrumental variablessynthetic controleconometricsmodel evaluationdata analysisexperimentation platformsstatistical modeling

Application Tip

Show one project where you owned an experiment from design through analysis, name the method you used (A/B test, instrumental variables, synthetic control) and include the outcome. Link a code sample in R or Python if you have one. Since grading model output is central, add a short example of a rigorous-looking analysis that reaches an invalid conclusion and explain the flaw.

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