AI/ML Research Consultant

aligned labs โ€ข United State
Remote
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AI Summary

We are seeking expert consultants to support frontier AI research. The role involves designing original ML research problems, stress-testing AI models, and assessing AI-generated reasoning. Ideal candidates have research experience in AI/ML and stay current with the latest literature.

Key Highlights
Design original ML research problems
Stress-test leading AI models
Assess AI-generated reasoning
Key Responsibilities
Design original ML research problems from scratch
Stress-test leading AI models on research-level questions in machine learning
Assess whether AI-generated reasoning meets the standards of a trained ML researcher
Technical Skills Required
Machine Learning Deep Learning Reinforcement Learning Generative Models LLM Training and Evaluation
Benefits & Perks
$75-$90 USD per hour
Higher rates for senior researchers and recognized experts
Fully-remote work

Job Description


We are looking to expand our team of expert consultants with 15 AI/ML Researchers for part-time, fully-remote work supporting frontier AI research. Projects pay $75โ€“90 USD per hour, with higher rates for senior researchers and recognized experts.


This role includes designing original ML research problems from scratch, stress-testing leading AI models on research-level questions in machine learning, and assessing whether AI-generated reasoning meets the standards of a trained ML researcher.


Visit our website to learn more: https://alignedhq.ai/for-experts

Sign up to get started: https://app.alignedhq.ai/signup


About Aligned At Aligned, we partner with the world's leading AI labs to push the frontier of AI knowledge in fields like math, science, and engineering. Our platform matches subject-matter experts (like you) with paid consulting work on frontier projects at these labs.


Who We're Looking For You are actively engaged in AI/ML research and stay current with the latest literature on platforms like arXiv. You have research experience advancing the state of the art in areas such as deep learning, reinforcement learning, generative models, or LLM training and evaluation.


Ideal backgrounds include:

  • Faculty or research staff working on machine learning at universities or research institutes
  • Research scientists or applied researchers at AI labs, large tech companies, or AI-focused startups
  • Industry researchers working on novel architectures, training methods, fine-tuning, or evaluation
  • Researchers focused on RLHF, interpretability, scaling, alignment, or post-training methods
  • Authors of peer-reviewed ML publications or widely-read preprints


Minimum Qualifications

  • Fluent English reading and writing skills
  • PhD in Machine Learning, Computer Science, or a closely related field โ€” or equivalent research experience in industry
  • Active engagement with current ML research literature
  • Track record of original research contributions, including peer-reviewed publications, preprints, or substantive research work in industry


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