Data Science & Quantitative AI Evaluation Specialist
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 just now — 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 23h ago
The date the source published, not the day we noticed it (2026-10-13). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States, Germany, France, Poland, United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $106.3k–185k/yr
Middle 50% of 1295 listings that do state pay — Operations · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen just now · last seen just now
The listing
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for Data Scientists and Quantitative Professionals to help evaluate and improve next-generation AI models. You will assess AI-generated solutions to problems involving statistics, machine learning, experimentation, and quantitative reasoning. You will also create challenging prompts, datasets, and verified reference solutions while identifying methodological flaws, statistical errors, and weaknesses in analytical reasoning. This role is ideal for candidates with relevant professional experience in technology, finance, or research who can communicate technical concepts clearly.
SENIORITY: Junior / Early-Career Professional
LANGUAGE: Strong written English
LOCATION: Remote — English-speaking countries
Key Responsibilities
Evaluate AI-generated outputs across data science, statistics, machine learning, experimentation, and quantitative problem-solving.
Create expert-level prompts, datasets, and reference solutions for AI training and evaluation.
Identify flawed methodologies, statistical inaccuracies, unsupported assumptions, and weaknesses in quantitative reasoning.
Assess the correctness, reliability, and clarity of analytical approaches and conclusions.
Provide structured, evidence-based feedback to help improve AI model capabilities.
Apply consistent evaluation criteria and communicate technical findings clearly.
Requirements
At least one year of professional experience at a recognized company in technology, finance, or research, with some of that experience gained within the past three years.
Foundational knowledge of data science, statistics, machine learning, or quantitative analysis.
Strong analytical and critical-thinking skills, with the ability to identify errors in data-driven reasoning.
Excellent written English and the ability to explain technical and statistical concepts clearly.
Ability to evaluate complex problems systematically and provide accurate, well-supported feedback.
Current residence in an English-speaking country.