
Compensation
Salary undisclosedDescription
Scope of the Role:
We are seeking experienced Subject Matter Experts (SMEs) to support the training and evaluation of advanced AI models. You will leverage your domain expertise to create, review, and validate high-quality technical content, ensuring AI-generated responses are accurate, logical, and scientifically sound.
Domains Hiring For
- High-Energy Physics Theory
- Number Theory / Competition Mathematics
- Computer Vision (Classical CV, CNNs, Video Analytics, Segmentation)
- Statistical Machine Learning (Feature Selection, Statistical Modelling)
- Natural Language Processing (NLP) with Large Language Models (LLMs)
- Signal Processing (Compressed Sensing, Digital Signal Processing, Feature Selection)
- Computational Neuroscience
What You'll Own:
- Review the assigned domain archives thoroughly to understand the subject matter, terminology, processes, policies, historical context, and key updates.
- Extract relevant facts, concepts, scenarios, exceptions, and decision points from the archived material.
- Create clear and accurate question-and-answer pairs based only on the approved archive content.
- Cover different levels of complexity, including factual recall, conceptual understanding, application-based scenarios, reasoning, and edge cases.
- Ensure every answer is complete, unambiguous, and traceable to the relevant archive, document, or source section.
- Avoid assumptions, external information, duplicate questions, and content that is outdated or inconsistent with the latest archived version.
- Flag gaps, conflicting information, unclear language, or missing context in the archives for domain-owner clarification.
- Classify each Q&A with relevant metadata such as domain, topic, difficulty level, source archive, version/date, and reviewer status.
You'll Thrive in this Role If You Have:
- Master's or PhD in the relevant domain
- Strong research, analytical, and problem-solving skills.
- Excellent written English communication.
- Prior experience in research, academia, or industry is preferred.
- Familiarity with AI, Machine Learning, or LLMs is an added advantage.
The expected salary range for this position is $75- $100 USD per hour, based on experience, skills, and qualifications.
Stack
LLMsComputer VisionMachine LearningNLP
- Posted
- Jul 10, 2026
- Last seen
- Jul 10, 2026
- First seen
- Jul 10, 2026



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