R Team Lead
What you'll do
You oversee R work rather than only writing it. You review AI-generated R code, statistical explanations, visualizations and modeling workflows for invalid assumptions, data leakage, hallucinated functions and misleading charts, answer contributors' questions on packages and reproducibility, and write the documentation (style guides, FAQs, honeypots) that keeps reviews consistent. You also run onboarding calls and follow up with inactive contributors.
Who fits
- A bachelor's or master's in statistics, data science, mathematics, computer science, economics, biology or social sciences
- 3+ years using R for analysis, research, teaching or technical review
- Command of data frames, factors, missing data, tidyverse and base R
- Preferred: dplyr, ggplot2, Shiny, Quarto, tidymodels, lme4, survival, Git
- Leading remote teams is strongly preferred
Applicants are accepted from the United States only. The related R Engineer role is open in many more countries at up to $55.
What it pays
The listing states up to $65 an hour, with no minimum given. It is an hourly contract, so you are paid for tracked active time. SuperAnnotate's company page covers payout through Deel and the time-tracking rules; this listing states no payment terms of its own.
Worth knowing
Good:
- Up to $65 an hour, $10 above the R Engineer sibling
- Reproducibility and statistics review keeps the work technical
- Selection includes a domain task and recruiter interview
Less good:
- The ad says there is no immediate project for this role; qualified applicants are first in line when a relevant project opens, so being accepted does not mean work starts soon
- US-only
- Team management work (activation tracking, onboarding) sits alongside review
About this listing
Read from the SME Careers jobs board on 27 October 2026. The hiring steps (recorded AI interview, Deel contract, paid bootcamp) are described on the company page. See SuperAnnotate.
Before the interview: SuperAnnotate interview guides
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