R Team Lead, Quality Assurance

As an R Team Lead focused on quality assurance, you will review AI-generated R programming and data-analysis work. You will check whether code, statistical explanations, visualizations, data-wrangling steps, and modeling workflows are correct, clear, reproducible, and aligned with project rules.

You will also write precise feedback, help contributors follow guidelines, support R-related questions, and improve review processes. The role includes maintaining practical resources such as documentation, style guides, examples, trackers, frequently asked questions, test cases, and onboarding materials.

The duties and qualifications should be reviewed before applying so you can confirm they match the R quality assurance work described here.

• Review R code and data-analysis items for correctness, clarity, and reproducibility.
• Check R syntax, package use, debugging, statistical validity, readability, and visualization quality.
• Identify incorrect statistical assumptions, invalid methods, data leakage, flawed transformations, misleading charts, and invented R functions.
• Write clear feedback and help contributors follow project guidelines.
• Support R-specific coordination and maintain trackers, FAQs, documentation, and onboarding resources.
• Use recurring gaps and trainer performance patterns to improve quality assurance processes.

This is remote contract work for candidates in the United States. It is listed as part-time and requires an intermediate level of experience.

You should be able to explain technical issues clearly in English and apply detailed project guidelines when reviewing R work.

• $65 per hour.
• 20 or more hours per week.
• Remote contract work.
• Open to candidates in the United States.
• At least 3 years of experience using R for data analysis, statistics, research, analytics, teaching, coding, or technical review.
• Strong knowledge of R syntax, data frames, vectors, functions, lists, factors, missing data, tidyverse, base R, statistical modeling, and visualization.
• Ability to identify incorrect statistical assumptions, invalid package usage, data leakage, flawed transformations, and misleading charts.
• Strong English skills for following guidelines and writing feedback.
• Preferred experience with dplyr, tidyr, ggplot2, R Markdown or Quarto, Git, reproducible workflows, or leading remote quality assurance and review teams.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples, including reviewing code, rating model responses, and checking data-analysis outputs. People with strong technical experience are needed to spot errors, explain problems, and help make AI-generated work more accurate and useful.

OpenTrain is a free platform where people discover AI training and data-labeling projects, build a profile, and apply in minutes.