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Computer Science PhD

Anyone AI · 100% remote · Part-time · Posted

Pay
$150/hr
Location
Argentina,Denmark,Finland,Germany,India,Italy,Mexico,Sweden
Languages
English
Hours
Flexible
Openings
Not listed
Level
Expert
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Summary

Assess AI-generated machine learning and AI content for accuracy and technical quality, craft advanced technical prompts and answers, and evaluate, compare, and rank model responses.

What you'll do

  • Assess factual accuracy and technical quality of AI-generated text
  • Craft and answer advanced questions in machine learning and AI
  • Evaluate, compare, and rank AI-generated responses
  • Identify errors, inconsistencies, hallucinations, or weak reasoning
  • Provide clear feedback to improve AI system performance

Requirements

  • PhD in machine learning, AI, or adjacent field
  • Experience as ML engineer, AI researcher, or data scientist
  • Strong understanding of ML training, evaluation, and optimization
  • Clear and precise English writing on technical topics
  • Analytical judgment and attention to detail

Skills

  • Machine Learning
  • Artificial Intelligence
  • Model Evaluation
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Data Science
  • Statistics

Full description

Overview

We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.

In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity.

This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems.

Compensation

  • US$150 per hour

Key Responsibilities

As a Machine Learning / AI Expert, you may contribute by:

  • Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence.

  • Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains.

  • Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity.

  • Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs.

  • Providing clear feedback that helps improve the performance of AI systems.

Ideal Qualifications

We are especially interested in candidates with one or more of the following:

  • A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science.

  • Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role.

  • Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application.

  • Ability to write clearly, precisely, and fluently in English about complex technical topics.

  • Strong analytical judgment and attention to detail.

Work Arrangement

  • Remote

  • Flexible hours

Location: open to applicants in Argentina, Denmark, Finland, Germany, India, Italy, Mexico, Sweden.

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