R Engineer

SME Careers; Metro Manila; Remote; PHP 482,000 - 1,240,000; Part time

Job summary

SME Careers is seeking an experienced R Engineer to work remotely on an hourly contract. You will review AI-generated responses and craft high-quality R and data-analysis content, evaluating reasoning, statistics, and data-wrangling workflows.

You will explain complex results clearly and rate multiple AI solutions for accuracy and quality. The role emphasizes rigorous data analysis, reproducible R code, and strong English communication.

Qualifications

• 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.
• Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.

Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Skills

R programming

data wrangling

functional programming

writing reusable functions

statistics

regression

model validation

data cleaning

exploratory analysis

data visualization

tidyverse

data.table

ggplot2

LLMs for coding

English writing

C1 English proficiency

Education

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

Tools

tidyverse

data.table

ggplot2

Job description

As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, directly helping to improve the world’s premier AI models.

Important

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Your Profile

• 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.
• Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.