ML/AI/Stats Experts

Role Overview

Turing is seeking ML/AI/Statistics Experts to evaluate AI-generated reproductions of machine learning research papers. In this remote contractor role, you will apply your expertise in machine learning research to assess the technical accuracy, methodological soundness, and overall quality of AI-generated reproductions. Your work will help improve the capabilities of next-generation AI systems.

This opportunity is ideal for PhD-level researchers with strong publication records and expertise in machine learning, artificial intelligence, statistics, or closely related fields.

Key Responsibilities

Evaluate Research Reproductions

• Read and analyze machine learning research papers.
• Review AI-generated paper reproduction artifacts.
• Compare multiple reproduction attempts and rank their quality.
• Provide clear, evidence-based justifications for evaluation decisions.

Assess Technical Quality

• Evaluate whether proposed ML solutions are:

  • Technically correct
  • Methodologically sound
  • Consistent with current research
  • Faithful to the original paper

• Identify strengths, weaknesses, and potential issues in AI-generated outputs.

Apply Research Expertise

• Analyze work across areas including:
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Representation Learning
  • Reinforcement Learning
  • Optimization
  • Computer Vision
  • Natural Language Processing (NLP)

Collaborate on AI Development

• Deliver structured written evaluations and rankings.
• Work independently in a remote environment.
• Contribute to improving frontier AI research and evaluation systems.

Required Qualifications

• PhD in:

  • Machine Learning
  • Artificial Intelligence
  • Computer Science
  • Statistics
  • A closely related field

• At least two publications in top-tier ML/AI conferences such as:

  • NeurIPS
  • ICML
  • ICLR

• Strong research experience in one or more of:

  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Representation Learning
  • Reinforcement Learning
  • Optimization
  • Computer Vision
  • Natural Language Processing

• Strong mathematical and statistical foundations.

• Ability to critically evaluate research papers and AI-generated reproductions.

• Excellent written communication and collaboration skills.

• Ability to start immediately.

• Desktop or laptop with a reliable internet connection.

Preferred Qualifications

• Experience as a:

  • Research Scientist
  • Machine Learning Researcher
  • PhD Researcher
  • University Faculty Member

• Strong programming skills with:

  • Python
  • PyTorch
  • TensorFlow

Compensation

• Competitive compensation (not specified)

Work Arrangement

• Fully Remote
• Independent Contractor / Freelancer
• Project-based engagement
• Potential contract extension based on performance and project needs