Remote R Engineer - AI Data & Model Evaluation

SME Careers

Singapore

On-site

SGD 55,800 - 89,280

Part time

14 days+

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Job summary

SME Careers in Singapore is looking for a remote R Engineer to review AI-generated responses and produce data-analysis-driven content. The role requires evaluating solutions for accuracy, clarity, and adherence to prompts, ensuring high-quality outputs in AI training projects.

The ideal candidate should have 2+ years of experience in R programming, strong applied statistics knowledge, and the ability to communicate complex ideas in clear English. A bachelor's degree in a quantitative field is essential, along with familiarity with R ecosystems.

Qualifications

  • 2+ years of hands-on experience using R for data analysis.
  • Strong proficiency in R programming including data wrangling and functional programming.
  • Solid grounding in applied statistics and practical experience with regression and inference.
  • Experience building end-to-end analyses in R including data cleaning and visualization.
  • Excellent English writing skills and ability to explain complex statistical ideas.
  • Minimum C1 English proficiency required.

Responsibilities

  • Create detailed prompts and responses to guide AI learning.
  • Evaluate and rank AI responses to enhance model accuracy.
  • Test AI models for potential inaccuracies and biases.

Skills

R programming
Data analysis
Applied statistics
Data wrangling
Model validation
Clear English writing

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field

Tools

tidyverse
data.table
ggplot2

Job description

SME Careers in Singapore is looking for a remote R Engineer to review AI-generated responses and produce data-analysis-driven content. The role requires evaluating solutions for accuracy, clarity, and adherence to prompts, ensuring high-quality outputs in AI training projects.

The ideal candidate should have 2+ years of experience in R programming, strong applied statistics knowledge, and the ability to communicate complex ideas in clear English. A bachelor's degree in a quantitative field is essential, along with familiarity with R ecosystems.

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