

Crossing Hurdles
Machine Learning Engineer | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a part-time Machine Learning Engineer position, offering $50–$100/hour for 30+ hours/week, primarily weekdays. Requirements include an active or recently graduated PhD, expertise in data science, machine learning, and Python, along with strong analytical skills.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
-
💰 - Day rate
800
-
🗓️ - Date
March 8, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Python #ML (Machine Learning) #AI (Artificial Intelligence) #Data Science
Role description
Position: PhD Rater
Type: Part-Time
Compensation: $50–$100/hour
Location: Remote
Commitment: 30+ hours/week (primarily weekdays)
Role Responsibilities
• Design challenging, real-world STEM benchmark problems in domains such as data science, machine learning, finance, and software engineering.
• Implement tasks within an agentic development environment using Python.
• Create reproducible problem setups with clear specifications and executable tests.
• Evaluate and analyze AI model behavior, including reasoning traces and agent workflows.
• Diagnose reasoning failures, logic gaps, and problem-solving limitations in AI systems.
• Contribute to improving benchmark quality and evaluation frameworks for frontier AI models.
Requirements
• Active or recently graduated PhD.
• Deep expertise in data science, machine learning, finance, and/or Python-based software development.
• Strong research background in advanced STEM topics.
• Ability to commit reliably for 30+ hours per week.
• Demonstrated technical output such as high-quality open-source contributions or research work.
• Ability to analyze agent behavior traces and diagnose failures beyond surface-level errors.
Application Process
• Upload resume
• Interview
• Submit form
Position: PhD Rater
Type: Part-Time
Compensation: $50–$100/hour
Location: Remote
Commitment: 30+ hours/week (primarily weekdays)
Role Responsibilities
• Design challenging, real-world STEM benchmark problems in domains such as data science, machine learning, finance, and software engineering.
• Implement tasks within an agentic development environment using Python.
• Create reproducible problem setups with clear specifications and executable tests.
• Evaluate and analyze AI model behavior, including reasoning traces and agent workflows.
• Diagnose reasoning failures, logic gaps, and problem-solving limitations in AI systems.
• Contribute to improving benchmark quality and evaluation frameworks for frontier AI models.
Requirements
• Active or recently graduated PhD.
• Deep expertise in data science, machine learning, finance, and/or Python-based software development.
• Strong research background in advanced STEM topics.
• Ability to commit reliably for 30+ hours per week.
• Demonstrated technical output such as high-quality open-source contributions or research work.
• Ability to analyze agent behavior traces and diagnose failures beyond surface-level errors.
Application Process
• Upload resume
• Interview
• Submit form




