R QA Lead for AI Training & Data Quality (Remote)

Joinkeywork

United States

À distance

USD 55 000 - 96 000

Temps partiel

14 jours+

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Résumé du poste

SME Careers, a fast-growing AI Data Services company, seeks an R Quality Assurance Lead (QAL) to oversee quality and trainer performance across R programming and data-analysis AI training projects. You will review AI-generated code, assess statistical validity, provide precise feedback, and ensure compliance with project guidelines.

You will lead QA reviews, communicate standards on Discord, and help maintain style guides, documentation, and onboarding materials for a global remote team.

Qualifications

  • Bachelor’s or Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Biology, Social Sciences, or related quantitative field.
  • Strong grasp of English to follow guidelines and provide clear feedback.
  • 3+ years of experience using R for data analysis, statistics, research, analytics, teaching, coding, or technical review.
  • Strong understanding of R syntax, data frames, vectors, functions, lists, factors, missing data, tidyverse, base R, statistical modeling, and visualization.
  • Familiarity with dplyr, tidyr, ggplot2, readr, stringr, purrr, data.table, Shiny, R Markdown/Quarto, caret/tidymodels, lme4, survival, Git, and reproducible workflows is preferred.
  • Experience leading remote teams of trainers, analysts, reviewers, educators, or QAs is strongly preferred.
  • Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems.
  • Highly organized and able to maintain style guides, trackers, FAQs, honeypots, calibration tasks, and onboarding materials.
  • Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based review is a strong plus.

Responsabilités

  • 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.

Connaissances

R programming
Statistics
Data analysis
English proficiency
Mentoring remote teams

Formation

Bachelor’s or Master’s degree in Statistics/Data Science/Mathematics/CS
Quantitative field

Outils

dplyr
tidyr
ggplot2
readr
stringr
purrr
data.table
Shiny
R Markdown/Quarto
caret/tidymodels
lme4
survival
Git

Description du poste

SME Careers, a fast-growing AI Data Services company, seeks an R Quality Assurance Lead (QAL) to oversee quality and trainer performance across R programming and data-analysis AI training projects. You will review AI-generated code, assess statistical validity, provide precise feedback, and ensure compliance with project guidelines.

You will lead QA reviews, communicate standards on Discord, and help maintain style guides, documentation, and onboarding materials for a global remote team.

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