Job Description
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
More Info
Key Skills
Bio Physics
Academic research publications
