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AI Evaluation Researcher (Maths/Biology/Physics/Biology)

AI Evaluation Researcher (Maths/Biology/Physics/Biology)

nexcyra
Fresher
  • Posted 2 hours ago
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Job Description

We have 2 remote Jobs: 1 master'degree project or higher, 1 PhD project. You can apply all 2 jobs
1. Master'degree project or higher

Job Description: We are seeking subject matter experts in Bio, Physics, Chemistry... to contribute to an AI evaluation project. The role involves designing research-level tasks that evaluate the reasoning capabilities of frontier AI models through authentic scientific and technical workflows.

Key Responsibilities

  • Design realistic research-oriented evaluation tasks within your domain of expertise.
  • Prepare supporting materials such as datasets, literature excerpts, or technical documentation.
  • Write expert reference solutions with clear reasoning and scientific justification.
  • Develop and refine objective evaluation rubrics.
  • Ensure all tasks are scientifically rigorous, reproducible, and objectively verifiable.
  • Requirements
  • Master's degree or above (Ph.D. preferred) in Mathematics, Biology, Data Engineering, or a closely related field.
  • Strong research or professional experience in your domain.
  • Ability to analyze technical/scientific materials and synthesize evidence.
  • Strong English reading and writing skills.
  • Experience in academic research, publications, data engineering, or technical documentation is preferred.
  • Able to work independently and deliver high-quality work within deadlines.
  • Benefits
  • 100% remote work.
  • Short-term project (approximately 2 months).
  • Competitive payment: 900,000 VND per successfully accepted task.
  • Flexible working hours.
  • Detailed task guidelines, acceptance criteria, and submission process will be provided before the project begins.

2.PhD Job

Sequoia is our highest-bar STEM project. ECs create authentic, research-level workflows that evaluate next-generation AI models, including experimental design, evidence synthesis, computational analysis, and research decision-making.

EC Requirements

Education: completed PhD, postdoc, or current PhD student

Research impact: Google Scholar h-index of 6 or greater (relaxed to 3 or greater for Mathematics)

Authorship: at least one first- or second-author publication. Second-author publications qualify only for advanced, actively researching ECs (for example, late-stage PhD students or postdocs).

Venue: the qualifying publication must be in the approved journal/conference list

Documentation: resume/CV, Google Scholar profile, h-index, relevant publication, and domain for every EC

Priority domains

P0 — Biology, Chemistry

P1 — Mathematics, Engineering / Materials Science

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