Statistician AI Training Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain helps people find and build careers in AI training and data labeling, offering a place to discover projects, create a professional profile, and apply in minutes. Creating an OpenTrain account is free.

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists prepare, review, and enrich the examples that help modern AI systems learn to reason and perform more effectively. In this role, your statistical judgment will help improve the quality and usefulness of datasets used in model development.

• Remote work available worldwide
• Flexible part-time schedule of less than 20 hours per week
• Directly contribute to cutting-edge AI development
• No prior AI experience required

The Role

OpenTrain AI is recruiting a Statistician AI Training Expert for a project focused on advancing data-driven solutions. You will apply statistical expertise to clean, analyze, and annotate real-world datasets while helping train next-generation AI systems.

This is an entry-level AI training opportunity for a qualified statistics or related quantitative professional. The role is offered as a part-time contractor position and is available worldwide.

• Employment type: Part-time contractor
• Time requirement: Less than 20 hours per week
• Location: Worldwide and fully remote
• Language: English
• Pay: $60-$120 per hour

What You'll Do

You will work with complex, messy, large, unstructured, or noisy datasets and communicate your findings clearly to both technical and non-technical audiences. You will collaborate asynchronously with project stakeholders to clarify requirements, improve deliverables, and document your work.

• Clean, preprocess, and structure complex datasets using R, Python, SAS, or Stata.
• Apply and document descriptive and inferential statistical analyses to identify trends and patterns in real-world data.
• Develop clear data visualizations that illustrate key findings and support model development.
• Annotate, label, or enrich datasets to improve the quality of AI model training data.
• Write concise summaries of methods, analyses, and results for non-technical audiences.
• Identify data quality issues and provide actionable recommendations.
• Document solutions and collaborate asynchronously with project stakeholders.

Requirements

Applicants should have an advanced degree in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative field. The role requires strong statistical programming and the ability to communicate complex findings clearly in a remote environment.

• Advanced degree in Statistics or a related quantitative field.
• Expertise cleaning and preparing complex, messy datasets with R, Python, SAS, or Stata.
• Proficiency in descriptive and inferential statistics, including hypothesis testing and regression analysis.
• Strong Python or R programming skills for statistical analysis, data manipulation, and visualization.
• Experience working with large, unstructured, or noisy datasets.
• Excellent written and verbal communication skills.
• Ability to explain findings to both technical and non-technical audiences.

Why This Work Matters

Statistical analysis gives AI training datasets structure, context, and measurable quality. By detecting patterns, documenting methods, and identifying problems in real-world data, you will help shape how AI models learn and perform while building experience in a rapidly growing technology field.

• Use specialized quantitative expertise in practical AI development.
• Work flexibly around other professional, academic, or personal commitments.
• Contribute to how state-of-the-art AI systems are trained and evaluated.

How to Apply

Create a free OpenTrain account, build your profile around your statistical experience, and apply through OpenTrain. Highlight your advanced quantitative education, experience with R or Python, statistical methods, data preparation, visualization, and communication skills.

• Review the role requirements and confirm your statistical qualifications.
• Showcase relevant experience with complex datasets and statistical software.
• Apply through OpenTrain in minutes.