Remote R QA Lead for AI Data Training

AI Trainer Jobs

United States

Remote

USD 54,000 - 90,000

Part time

2 days ago
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Job summary

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, seeks an R Quality Assurance Lead (QAL) for a remote hourly contractor role to oversee quality, consistency, and trainer performance across R programming and data-analysis AI training projects.

You will review AI-generated R code and trainer/QA work, evaluate output quality against guidelines, and provide precise written feedback.

Qualifications

  • Bachelor’s or Master’s degree in quantitative field.
  • 3+ years of experience using R for data analysis.
  • Strong knowledge of R syntax, data frames, vectors, functions, and visualization.

Responsibilities

  • Spot-check R programming and data-analysis items.
  • Review AI-generated R code, statistical explanations, visualizations, data-wrangling steps, and modeling workflows.
  • Communicate project updates and R-specific standards on Discord.
  • Answer trainer/QA questions around R syntax, packages, statistical reasoning, reproducibility, plots, and rubric interpretation.
  • DM inactive contributors and manage activation tracking.
  • Create and maintain R documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials.
  • Run onboarding/training calls for R contributors.
  • Flag misleading statistical claims, invalid methods, non-reproducible workflows, or hallucinated packages/functions.
  • Improve QA processes based on recurring gaps.

Skills

R programming
Data analysis
Quality assurance
Remote team leadership
English communication

Education

Bachelor’s or Master’s degree in Statistics/Data Science/Math

Tools

tidyverse
ggplot2
readr
Git
Quarto/R Markdown

Job description

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, seeks an R Quality Assurance Lead (QAL) for a remote hourly contractor role to oversee quality, consistency, and trainer performance across R programming and data-analysis AI training projects.

You will review AI-generated R code and trainer/QA work, evaluate output quality against guidelines, and provide precise written feedback.

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