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Job description
About OpenTrain
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting for this contract role and helps contributors build a credible portfolio while working on projects that shape how modern AI systems perform.
Remote contract opportunity with OpenTrain AI
Work on specialized R and data-analysis quality assurance
Build experience in a fast-growing AI training industry
About AI Training Work
AI training is the human side of building artificial intelligence. Contributors review examples, write feedback, and evaluate model outputs so AI systems can become more accurate, useful, and reliable. In this role, your R and statistics expertise will help improve generated code and analytical reasoning.
Evaluate AI-generated programming and data-analysis content
Identify inaccurate methods, unsupported claims, and non-reproducible workflows
Help establish consistent standards for AI training contributors
The Role
OpenTrain is seeking an R Quality Assurance Lead to review AI-generated R code, statistical explanations, visualizations, data-wrangling steps, and modeling workflows. You will assess accuracy, reproducibility, clarity, and adherence to project rubrics while providing precise written feedback.
The role also includes maintaining R-specific standards, supporting trainer and QA questions, and contributing practical resources such as style guides, examples, trackers, FAQs, honeypots, and onboarding materials.
Intermediate experience level
Contractor and part-time engagement
United States only
20+ hours per week
Up to $65 per hour
English-language work
What You'll Do
You will combine hands-on R programming knowledge with careful statistical review. Your feedback will help contributors follow project guidelines and improve the quality and consistency of R-focused AI training work.
Review R programming and data-analysis items for correctness and clarity
Check statistical validity, package usage, debugging accuracy, readability, and visualization quality
Provide precise written feedback to contributors
Help contributors follow project guidelines
Support R-specific coordination
Maintain trackers, FAQs, and onboarding assets
Flag misleading statistical claims, invalid methods, non-reproducible workflows, and hallucinated functions
Improve QA processes using recurring gaps and trainer performance patterns
Required Qualifications
You should have at least three years of experience using R for data analysis, statistics, research, analytics, teaching, coding, or technical review. Strong English skills are required for following guidelines and writing clear, actionable feedback.
3+ years of experience using R in a relevant setting
Strong knowledge of R syntax, data frames, vectors, functions, lists, factors, and missing data
Proficiency with tidyverse and base R workflows
Understanding of statistical modeling and visualization
Ability to identify incorrect statistical assumptions and invalid package usage
Ability to spot data leakage, flawed transformations, and misleading charts
Ability to evaluate reproducibility and technical accuracy
Preferred Experience
The following experience is preferred and may help you contribute to R quality assurance, documentation, and remote review operations.
dplyr, tidyr, and ggplot2
R Markdown or Quarto
Git and reproducible workflows
Reviewing or teaching R, analytics, or technical work
Leading remote QA, trainer, or reviewer teams
Why This Work Matters
Every major AI system depends on people who prepare, review, and improve the data and examples used for training. By applying your R and statistical expertise, you can directly influence whether AI-generated analyses are accurate, understandable, and dependable.
Contribute to cutting-edge AI development
Use specialized technical expertise in flexible remote work
Help shape how AI handles R programming and statistical analysis
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.