R Engineer
About the role
As a remote, hourly paid R Engineer at SME Careers, you will review AI-generated responses and create high-quality R and data-analysis-focused content. Your responsibilities include evaluating the reasoning and problem-solving quality of AI solutions, assessing their accuracy and clarity, identifying errors in statistical methodology or data workflows, fact-checking analytical results, and writing expert-level explanations and model solutions in R. You will also rate and compare multiple AI responses based on correctness and reasoning quality. SME Careers is a subsidiary of SuperAnnotate, providing AI training data to leading AI companies and labs.
Must have
- 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
- Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
- Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
- Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
- Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
- Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
- Minimum Bachelor’s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
- Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
- Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
Nice to have
- Previous experience with AI data training or model evaluation is strongly preferred.
Technologies
- Data Science
- LLM
- Model Evaluation
- Statistics
Highlights
There is no immediate project for this role; qualified candidates will be contacted first when relevant opportunities arise and gain access to future projects through the expert network. The position is remote and paid hourly. Minimum C1 English proficiency is required.
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