R Quality Assurance Lead (R Code & Data Analysis)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help freelancers consolidate proof of work, track opportunities, and grow a durable portfolio of AI-training experience.

As a hiring and contracting organization, OpenTrain runs training projects that teach models through human review and feedback—this role will be directly involved in making that work high quality and reproducible for R-based tasks.

Why AI training matters

AI training (data labeling and human feedback) is the human side of building modern models: people prepare, evaluate, and correct examples that teach systems how to code, reason about data, and explain statistics.

This work is highly flexible and remote-friendly, often accessible without prior platform experience, and lets contributors influence how state-of-the-art AI behaves—especially when you bring domain expertise like R programming and statistical reasoning.

The role

You will be the R subject-matter quality lead for projects that generate, evaluate, and refine R code, data-wrangling steps, visualizations, and modeling workflows used to train AI. Your judgments and feedback will ensure accuracy, reproducibility, and adherence to project rubrics.

This is a contract, part-time role for residents of the United States, expected to cover about 20+ hours per week at up to $65/hour.

What you'll do

Perform careful, rubric-driven reviews of R code and analysis outputs, and provide clear, actionable written feedback to contributors and trainers.

• Review R programming and data-analysis items for correctness, clarity, and reproducibility.
• Check statistical validity, package usage, debugging accuracy, readability, and visualization quality.
• Flag misleading statistical claims, invalid methods, non-reproducible workflows, and hallucinated functions.
• Support R-specific coordination: maintain trackers, FAQs, onboarding assets, and honeypots.
• Contribute documentation, style guides, examples, and process improvements based on recurring gaps.

Requirements

You must have hands-on experience using R for data analysis and the ability to translate technical issues into concise reviewer feedback.

• 3+ years 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 and base R, statistical modeling, and visualization.
• Ability to spot incorrect statistical assumptions, invalid package usage, data leakage, flawed transformations, and misleading charts.
• Clear written English for guideline-following and feedback writing.

Preferred skills

The following qualifications are not required but will help you succeed in the role and influence project standards and onboarding materials.

• Experience with dplyr, tidyr, ggplot2, R Markdown or Quarto, and Git.
• Familiarity with reproducible analysis workflows and packaging results for review.
• Prior experience reviewing, teaching, or leading remote QA/reviewer teams.

Schedule, compensation, and location

This is a contractor, part-time role. You will work remotely from within the United States and are expected to contribute 20+ hours per week.

Pay is up to $65 per hour (PAY_PER_HOUR). Exact scheduling is flexible and coordinated with project leads.

How OpenTrain projects work & next steps

OpenTrain projects combine human review and evaluation to create high-quality training data for AI. As an R QA Lead, you'll review contributor submissions, help refine rubrics, and improve onboarding so contributors can produce consistent, reproducible R analyses.

If this matches your skills, apply through your OpenTrain account with a brief summary of your R experience and examples of past work or teaching/reviewing experience. We use practical review tasks during onboarding to confirm fit and calibration.