Statistician for AI Data Annotation

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring and contracting for this role, helping contributors apply their expertise to projects that shape how modern AI systems learn.

Creating an OpenTrain account is free, and candidates can build a profile that highlights relevant skills and experience before applying.

• Remote contract work
• Part-time schedule of fewer than 20 hours per week
• Hourly pay of $60 to $120 USD
• English-language project

About AI Training and Data Annotation

AI training is the human side of building artificial intelligence. Contributors prepare, label, review, and evaluate examples so AI models can learn from accurate, well-structured data.

For this project, statistical analysis and dataset annotation will help produce higher-quality training data for next-generation AI systems. No prior AI experience is needed because your statistical expertise is the foundation of the work.

• Work on cutting-edge AI development
• Apply professional statistical knowledge to real-world datasets
• Contribute to data labeling, enrichment, and evaluation

The Statistician Role

OpenTrain is seeking a Statistician to support a customer project advancing data-driven AI solutions. You will clean and structure complex datasets, perform statistical analyses, create visualizations, and contribute labeled data for AI training.

This is an entry-level AI training opportunity for an experienced statistician or quantitative professional. The role is conducted asynchronously, with communication focused on clarifying requirements and improving deliverables.

• Contractor position
• Part-time engagement
• Less than 20 hours per week
• Compensation of $60 to $120 per hour

What You’ll Do

• Clean, preprocess, and structure complex or messy datasets using R, Python, SAS, or Stata.
• Apply descriptive and inferential statistical methods, including hypothesis testing and regression, to identify trends and patterns.
• Create clear data visualizations that support model development and communicate findings.
• Annotate, label, and enrich datasets used for AI training.
• Write concise summaries of methods and results for non-technical audiences.
• Collaborate asynchronously with project stakeholders to clarify requirements and improve deliverables.
• Identify data quality issues and document solutions for dirty or incomplete data.

Required Qualifications

• Advanced degree, such as an MS or PhD, in Statistics, Data Science, or a related quantitative field.
• Expertise in cleaning and preparing complex datasets with statistical software.
• Proficiency in descriptive and inferential statistics, including hypothesis testing and regression.
• Strong programming skills in Python or R for statistical analysis and visualization.
• Experience working with large, unstructured, or noisy datasets.
• Excellent written and verbal communication skills for technical and non-technical audiences.
• Fluency in English.

Helpful Background

You may be especially well suited to this project if you have worked with machine learning datasets or collaborative remote teams. Prior AI training experience is helpful but not required.

• Experience with dataset annotation or labeling for machine learning
• Familiarity with collaborative remote work
• Strong habits for detailed documentation

How to Apply

Create a free OpenTrain account, build your profile around your statistical and data-analysis experience, and apply in minutes. OpenTrain brings together opportunities to help you grow a career in the fast-expanding AI training industry.

• Highlight your degree and statistical software experience
• Show your Python or R analysis and visualization capabilities
• Emphasize experience with complex datasets and clear documentation