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Salary
$120k – $240k per year
Location
Remote (United States)

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.

Job Title: Applied Scientist - Machine Learning (MSc. or PhD)

Job Type: Contractor

Location: Global, Fully Remote

Working Hours: Approximately 15 hours per week

Schedule: Flexible, including weekends

Job Summary

We are seeking experienced Machine Learning Experts to contribute to an AI training project focused on model development, training and inference systems, numerical computing, and performance optimization.

This is a highly coding-intensive role requiring strong Python skills and hands-on experience using coding agents.

Key Responsibilities

  • Develop and validate machine-learning models and training pipelines.
  • Build reproducible workflows using Python and command-line tools.
  • Debug technical issues and optimize memory usage and performance.
  • Evaluate and validate machine-learning implementations against defined requirements.

Required Qualifications

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

Experience at established technology companies, AI labs, research organizations, or through exceptional academic and open-source work is preferred.

Selection Process

  • Apply and complete screening questions.
  • Complete an AI interview of approximately 30 minutes.
  • Attend the hiring manager review.

Start Timeline

  • Roles are typically filled within 48 hours.
  • Immediate availability is preferred.
  • Selected candidates should begin their first task within 24-48 hours after onboarding.

Compensation Structure: Payment is based on completed tasks that meet project specifications. Minimum submission requirements apply.

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