Anyone AI
via Ashby
Computer Science PhD (Argentina)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 12h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 102d ago
The date the source published, not the day we noticed it (2026-06-04). Last seen at its source 2h ago.
Is it remote?
Argentina - Fully Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Available worldwide
The description states no restriction of its own. This is the source's own tag.
Pay
$150/hr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 17d ago · last seen 2h ago
The listing
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