
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.
🔥 8 hours ago
🌐 Ukraine, Nigeria, +4 more countries – Remote
💵 $30 - $80 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🧬 Research Scientist
👻 Ghost score 0%
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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.
• Validate AI-generated paper reproductions, simulations, and research results • Map key research areas and taxonomy within your field • Define what “good research” looks like for AI systems • Create benchmark tasks and evaluation standards for frontier models • Contribute directly to the benchmark paper and public eval release
• Current PhD student or postdoc in a relevant STEM field • Based at a strong research university or institute • At least one published paper in your field • Able to critically review research and identify methodological or technical errors • Currently using AI for Science in your own research • Significant hands-on use of tools such as Claude Code, Codex, or similar AI agents
• Be a lead / first author on a public benchmark paper • Help create one of the first research benchmarks in your scientific field • Work directly with a niche AI research lab and frontier AI researchers • Flexible remote work designed around academic commitments
Apply Now🕒 August 6
Lead Applied Scientist advancing SQUAD’s computer vision and sensor research. Guiding Applied Scientists, prototyping features, and optimizing algorithms for production.