Remote Statistics Expert for AI Data & Modeling

Alignerr Corp.; Seattle (WA); Remote; USD 34,000 - 138,000; Full time

Job summary

Labelbox is seeking a Math Expert (Contract) to support statistics-focused AI data labeling and content development. This fully remote role is US-friendly, paid hourly, and offers flexible, asynchronous collaboration across projects.

The ideal candidate has strong probability and statistics expertise, a pending or completed Bachelor's degree, and experience creating or reviewing educational data for AI training. Knowledge of RLHF is a plus.

Qualifications

• Deep expertise in probability and statistics through research, teaching, or applied problem solving.
• Bachelor’s degree or higher from an accredited institution.
• Experience building or reviewing complex data, educational, or technical content.
• Native-level proficiency in probability and statistics and clear written English communication.
• Bonus: Experience with data labeling, RLHF, or AI training projects.

Responsibilities

• Data annotation: label and categorize statistics content.
• Concept mapping: link probability topics and statistics concepts.
• Solution verification: review AI solutions and explain errors.
• Content development: build training datasets for statistics.
• Red teaming: test for biases and model robustness.

Skills

Probability & Statistics

Written English

Analytical thinking

Education

Bachelor’s degree or higher

Job description

Labelbox is seeking a Math Expert (Contract) to support statistics-focused AI data labeling and content development. This fully remote role is US-friendly, paid hourly, and offers flexible, asynchronous collaboration across projects.

The ideal candidate has strong probability and statistics expertise, a pending or completed Bachelor's degree, and experience creating or reviewing educational data for AI training. Knowledge of RLHF is a plus.