Data Science, Quantitative AI Evaluation Specialist

🔥 12 hours ago

🌐 United States, Germany, +3 more countries – Remote

🇺🇸 United States – Remote 🇩🇪 Germany – Remote 🇫🇷 France – Remote 🇵🇱 Poland – Remote 🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟢 Junior

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• 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.