R Engineer

AI Trainer Jobs; United States; Remote; USD 45,000 - 76,000; Full time

Benefits offered by this job

Access to future projects via expert网络

Job summary

SME Careers, a subsidiary of SuperAnnotate, is hiring a remote, hourly paid R Engineer to review AI-generated responses and produce high-quality R- and data-analysis content. You will evaluate reasoning, assess accuracy, and explain solutions with expert-level R usage.

This contract role offers access to future opportunities through our expert network. Responsibilities include designing training content, ranking AI outputs, and validating model integrity across use cases, all while maintaining

Qualifications

• 2+ years hands-on experience using R for data analysis.
• Proficiency in R including data wrangling and writing reusable functions.
• Strong foundations in applied statistics and model validation in R.
• Experience building end-to-end analyses in R: cleaning, EDA, modeling, visualization.
• Familiar with tidyverse, data.table, ggplot2; choose tools as needed.
• Professional data-focused experience (data scientist, statistician, etc.).
• Minimum Bachelor’s degree in quantitative field.
• Experience using large language models to assist with coding in R.
• Excellent English writing; document analyses clearly.
• Preferred: AI data training or model evaluation; C1 English.

Responsibilities

• Develop AI Training Content: Create prompts in various topics and responses.
• Optimize AI Performance: Evaluate and rank AI responses to improve accuracy and relevance.
• Ensure Model Integrity: Test AI models for inaccuracies or biases and validate reliability.

Skills

R programming

Data wrangling

Statistical modeling

Data visualization

LLM-assisted coding

English writing

Education

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

Tools

tidyverse

data.table

ggplot2

Job description

Pay: up to $55/hour

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.

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.

Requirements

• 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.

Skills: Statistical Modeling, LLM coding, R programming, Data Visualization, Reproducible Research, Data Cleaning, Time Series Analysis, Machine learning in R, English, Data Analysis

Open to candidates in: Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, The Philippines, The United States, Timor Leste, Vietnam

Interview language: English