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Location
Remote (United States)
Seniority
Junior · 1+ year exp

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 5, 2026.

Overview
Company
Impact
Profile match
YO AI Labs is an artificial intelligence platform specializing in AI model training, evaluation, and data annotation services. Headquartered in San Francisco, California, United States, the company connects domain experts and remote specialists across the globe to review, test, and benchmark generative AI model outputs. Through its decentralized workforce solutions and structured evaluation workflows, it enables frontier technology developers to enhance the accuracy, safety, and reliability of next-generation artificial intelligence systems.

Applied Scientist

Role Type: Contractor

Location: Remote

Job Description

We are seeking experienced Applied Scientists to support an AI training project focused on statistical analysis, machine learning, experimentation, and quantitative problem-solving. Prior AI experience is not required.

Required Skills

  • Python, Pandas, and Scikit-learn
  • Applied Statistics and Experimental Design
  • Machine Learning and Data Modeling
  • Data Analysis and Transformation
  • Quantitative Reasoning
  • Technical Documentation
  • Analytical Thinking and Communication

Responsibilities

  • Analyze complex datasets and generate actionable insights.
  • Develop, test, and evaluate machine learning models.
  • Design experiments and interpret results.
  • Evaluate AI outputs for statistical accuracy and reasoning.
  • Create expert-level prompts, datasets, and reference solutions.
  • Identify methodological errors and provide structured feedback.
  • Deliver reproducible code and clear analytical reports.

Qualifications

  • At least one year of experience at a leading technology, finance, or research organization.
  • Strong Python and machine learning expertise.
  • Experience in statistics, experimentation, and data science.
  • Excellent analytical, documentation, and communication skills.
  • Advanced academic background or practical experience in data science, applied mathematics, or a related field.
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