Data Scientist Expert - Remote

YO AI Labs • English (Optional) • AI Training Data & Annotation • AI Evaluation & Observability • Python • 9 days ago
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Salary
$490k – $560k per year
Location
Remote (United States)
Seniority
Senior · 1+ year exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 14, 2026. YO AI Labs scores A on the Alion truth index.

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YO AI Labs

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.
yoailabs.com • HQ: San Francisco, United States • AI Evaluation & Observability • AI Training Data & Annotation • 5000+ employees
Tech stack of YO AI Labs

Data Scientist

Role Type: Contractor

Location: Remote

About the Role

We are looking for experienced data scientists and quantitative professionals to support AI training and evaluation projects. You'll apply expertise in machine learning, statistics, experimentation, and data analysis to evaluate and improve AI model performance.

Key Responsibilities

  • Evaluate AI outputs across data science, statistics, ML, and quantitative problems.
  • Create expert-level prompts, datasets, and reference solutions.
  • Identify statistical errors, flawed methodologies, and weak reasoning.
  • Provide structured feedback to improve AI model capabilities.

Required Skills

  • Python & Pandas
  • Machine Learning
  • Statistics
  • Data Analysis
  • Experimentation
  • Data Modeling

Preferred Qualifications

  • 1+ year of experience in technology, finance, research, or a similar environment.
  • Relevant experience within the past 7 years.
  • Undergraduate degree from a top-ranked university.
  • Strong written communication and ability to explain technical concepts clearly.
  • Based in an English-speaking country.
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