R Model Evaluation Engineer

OpenTrain AI, Inc.; United States; A distancia; USD 63.000 - 89.000; A tiempo parcial

Descripción de la vacante

OpenTrain AI, Inc. seeks an R Model Evaluation Engineer to review AI-generated answers for accuracy, clarity, and adherence to prompts. You will use R and applied statistics to detect mistakes and craft improved examples for AI training.

The role involves identifying errors in methods, validating results, and creating expert explanations and training prompts. This is a remote, part-time contract position requiring strong R skills and English writing ability.

Formación

• At least 2 years hands-on R experience in data analysis or statistics.
• Strong R programming including data wrangling and functional patterns.
• Experience with building end-to-end analyses (cleaning, EDA, modeling, visualization).
• Familiarity with tidyverse, data.table, ggplot2.

Responsabilidades

• Review AI-generated answers for accuracy, clarity, and prompt adherence.
• Identify errors in statistical methods and data-wrangling workflows.
• Fact-check analytical results and compare model responses for correctness.
• Write expert explanations and model solutions showing correct use of R.
• Create detailed prompts and responses for AI training across topics.
• Test model outputs for inaccuracies or bias and assess reliability across use cases.

Conocimientos

R programming

statistics

data analysis

data wrangling

functional programming

reusable functions/packages

Educación

Bachelor's degree in Statistics/Mathematics/CS

Herramientas

tidyverse

data.table

ggplot2

large language models (coding/review)

Descripción del empleo

The work

As an R Model Evaluation Engineer, you will review AI-generated answers and judge whether they are accurate, clear, well reasoned, and responsive to the prompt. You will use R and applied statistics to identify mistakes and create better examples for AI training.

• Review AI-generated responses for accuracy, clarity, prompt adherence, and step-by-step reasoning.
• Find errors in statistical methods, modeling choices, and data-wrangling workflows.
• Fact-check analytical results and compare multiple model responses for correctness.
• Write expert explanations and model solutions that show correct use of R.
• Create detailed prompts and responses for AI training across different topics.
• Test model outputs for inaccuracies or bias and assess their reliability across use cases.

What it pays and takes

This is remote, part-time contract work for an intermediate-level contributor with strong R, statistics, and data-analysis experience. You must be able to write clearly in English and meet the location and time requirements below.

• Pay: $55 per hour in USD.
• Time: 20+ hours per week.
• Work arrangement: Remote contract work.
• Eligible locations: Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, the United States, Timor-Leste, and Vietnam.
• Language: English.
• Experience: At least 2 years of hands-on R experience in data analysis, statistics, or data science.
• R skills: Strong R programming, including data wrangling, functional programming patterns, and reusable functions or packages.
• Statistics: Applied knowledge of regression, statistical inference, and model validation.
• Analysis experience: Ability to build end-to-end R analyses covering data cleaning, exploratory analysis, modeling, and visualization.
• Tools and systems: Familiarity with tidyverse, data.table, ggplot2, and large language models used for coding or code review.
• Education and communication: Excellent English writing skills and a bachelor's degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

About AI training work

AI training work uses human review, examples, and feedback to help artificial intelligence produce better results. People with strong technical experience are paid to check model behavior, explain what is wrong, and create reliable examples that improve future outputs.