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Confirmed on the employer's own hiring board on Nov 8, 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.

Machine Learning Expert

Location: Global, Fully Remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible

Job Summary

We are seeking experienced Machine Learning Experts to support AI training projects involving model development, training pipelines, inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring strong Python skills and experience using coding agents.

Key Responsibilities

  • Develop and validate machine learning models and training pipelines.
  • Build inference systems, data pipelines, and evaluation frameworks.
  • Implement model components and numerical methods.
  • Optimize memory usage, computational efficiency, and system performance.
  • Debug technical issues and validate correctness through reproducible workflows.
  • Use Python, command-line tools, and coding agents to complete engineering tasks.

Required Qualifications

  • Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
  • Strong professional or research experience in machine learning.
  • Practical proficiency in Python and coding agents.
  • Experience with model development, training, inference, or performance optimization.

Preferred Qualifications

  • Experience at a technology company, AI laboratory, research organization, or established engineering team.
  • Strong academic research or open-source contributions.

Selection Process

  • Submit an application and complete screening questions.
  • Complete an approximately 30-minute AI interview.
  • Complete the hiring manager review.

Availability

Candidates should be ready to begin promptly, with the first task expected within 24-48 hours after onboarding.

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