Computer Science PhD
Anyone AI
Computer Science PhD
Anyone AI
Intensive AI/ML training with post-employment payment
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.
US$150 per hour
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.
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.
Remote
Flexible hours
AnyoneAI helps people with no AI background start a career in AI/ML by offering an intensive, job-focused training program in the edtech space. The program includes 650+ hours of classroom-style and practical training plus 400+ hours of real-world ML project work, with ongoing mentorship to build skills and prepare for interviews. It operates on a pay-after-you-get-a-job model: students pay only after they secure employment in the AI field, making upfront tuition free. Revenue comes from the post-employment fees once a job is landed. The company also connects students with its partners to explore job opportunities. Compared to competitors, AnyoneAI aligns its revenue with student success and emphasizes practical project experience, mentorship, and career placement support for beginners transitioning into AI development roles. The goal is to help individuals transition into AI roles and place them in jobs, creating a clear path from training to employment.
Explore more opportunities at Anyone AI