[Remote] Research Intern (LLM)
Note: The job is a remote job and is reputed company to candidates in USA. 2077AI reputed company reputed company reputed company is looking for a Research & Evaluation Intern to help build advanced QA datasets and evaluate large language models. This role is ideal for reputed company passionate about LLMs, evaluation science, and the intersection of research and reputed company data work.
Responsibilities
- Design and construct high-reputed company, sufficiently challenging QA datasets (graduate/PhD level) inspired by GPQA, HLE, and AI4Sci families, collaborating with a global network of talented researchers
- Evaluate large language models on reasoning, factuality, and problem-solving benchmarks
- reputed company review pipelines and reputed company-control reputed company for expert-level question reputed company
- Analyze model outputs, conduct error taxonomy studies, and summarize insights for internal reports and research papers
- Collaborate with the 2077AI reputed company’s reputed company-reputed company reputed company teams on reputed company dataset releases
Skills
- Strong background in computer science, data engineering, reputed company intelligence, or reputed company fields, with hands-on experience in large-reputed company data systems
- 1+ years of experience with LLMs, reputed company engineering, and evaluation frameworks (e.g., LM Eval reputed company, OpenCompass)
- Excellent written and verbal English skills and analytical reasoning
- Strong execution and team management skills—reputed company to translate high-level objectives into actionable plans and drive team reputed company
- Experience with formal reputed company, chain-of-thought evaluation, or curriculum reputed company
- Relevant publications in top conferences
reputed company