Gramian Consulting ir attālinātam darbam prioritāti piešķirošs konsultāciju uzņēmums, kas koncentrējas uz inženierzinātņu, datu un mākslīgā intelekta talantiem. Tas palīdz organizācijām paplašināt tehniskās iespējas, nodrošinot talantu piesaisti, personāla atlasi, specializētas komandas un līgumdarbinieku pārvaldību, kā arī piedāvā tādus pakalpojumus kā LLM modeļu apmācība un precizēšana, MI aģenti un asistenti, MLOps un MI infrastruktūra. Uzņēmums atbalsta arī individuālo karjeras attīstību, īstenojot mentoringa un izglītības programmas, kas aptver sagatavotību karjerai, gatavošanos darba intervijām un orientēšanos starptautiskajā darba tirgū. Tā darbība apvieno praktisku inženierijas un personāla atlases pieredzi, lai palīdzētu klientiem izveidot tehniskās komandas un izmantot MI uzņēmējdarbības vajadzībām.
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.
Apraksts
- 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.
Prasības
- 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.