- 经验
- 任何
- 薪水
- —
- 职位空缺
- 1
- 发布
- 21 小时前
- 工作模式
- 在家办公
- 学历
- Ph.D. or Master's degree in STEM or related field
- 恢复
- 需要申请
职位描述
Role Overview
We seek a dedicated STEM Researcher to engage remotely in designing and solving complex STEM problems that evaluate the boundaries of large language models (LLMs). This full-time position involves producing detailed, methodical solutions with clear and precise reasoning, while working closely with LLM researchers to ensure alignment with evaluation objectives.
Key Responsibilities
- Develop and resolve intricate STEM problems to assess the limits of large language models.
- Create comprehensive, step-by-step solutions accompanied by well-explained rationale.
- Collaborate with large language model researchers to ensure problems align with evaluation frameworks, focusing on abstraction, multi-step problem-solving, and symbolic manipulation.
- Assist in establishing new evaluation benchmarks inspired by physics curricula across undergraduate through PhD levels.
- Apply AI-driven methods to enhance analytical skills and adapt for future career growth in an AI-oriented environment.
Required Skills & Qualifications
- Advanced analytical capability supported by strong STEM knowledge, notably at the engineering entrance exam, graduate, or PhD level.
- Competence in simplifying complex STEM concepts into clear, understandable explanations.
- Creative thinking and lateral problem-solving skills to tackle challenging questions.
- Excellent structured communication and teamwork abilities suitable for remote collaboration.
- Self-driven and capable of independently managing tasks with access to a reliable computer and internet connection.
Additional Information
This position is with a prominent international firm in the Technology, Information, and Internet sectors, offering a unique chance to contribute to the advancement of sophisticated AI systems that produce tangible business results.
Equal Opportunity Employer
We prioritize hiring based on skills and expertise, welcoming all qualified individuals regardless of background, experience, or prior job history. Candidate evaluation is exclusively based on technical skill and qualifications.