Gramian Consulting muhandislik, ma’lumotlar va sun’iy intellekt sohalaridagi mutaxassislarga e’tibor qaratadigan, masofaviy ishlashni ustuvor deb biluvchi konsalting kompaniyasidir. U tashkilotlarga mutaxassislarni jalb qilish, ishga qabul qilish, maxsus jamoalar tuzish va pudratchilarni boshqarish orqali texnik salohiyatini kengaytirishga yordam beradi. Kompaniya, shuningdek, LLM modellarini o‘qitish va nozik sozlash, AI agentlari va yordamchilari, MLOps hamda AI infratuzilmasi kabi xizmatlarni taqdim etadi. Bundan tashqari, karyeraga tayyorgarlik, suhbatga tayyorlanish va xalqaro bozorga yo‘nalish olishni qamrab olgan mentorlik hamda ta’lim dasturlari orqali shaxslarning kasbiy rivojlanishini qo‘llab-quvvatlaydi. Uning faoliyati mijozlarga texnik jamoalar tuzish va sun’iy intellektni biznes ehtiyojlariga tatbiq etishda ko‘maklashish uchun amaliy muhandislik hamda ishga qabul qilish tajribasini birlashtiradi.
Remote Quantitative AI Evaluation Specialist
Contract data science specialist at Gramian Consulting evaluating AI-generated solutions. Develops prompts, datasets, and feedback to improve quantitative AI models.
Tavsif
- Review AI-generated work in data science, statistics, machine learning, experimentation, and quantitative problem-solving.
- Develop expert prompts, datasets, and reference solutions for AI training and evaluation.
- Spot flawed methods, statistical errors, unsupported assumptions, and gaps in quantitative reasoning.
- Judge the accuracy, reliability, and clarity of analytical methods and conclusions.
- Give structured, evidence-based feedback to strengthen AI model capabilities.
- Use consistent evaluation standards and explain technical findings clearly.
Talablar
- At least one year of professional experience at a recognized technology, finance, or research company, including some experience within the past three years.
- Foundational knowledge of data science, statistics, machine learning, or quantitative analysis.
- Strong analytical and critical-thinking skills, including the ability to detect errors in data-driven reasoning.
- Excellent written English and the ability to explain technical and statistical concepts clearly.
- Ability to assess complex problems systematically and provide accurate, well-supported feedback.
- Currently residing in an English-speaking country.