Frontier Data Creator & Subject Matter Expert (Advanced Chemistry) Internship - Remote
Remote · 全职实习
抢先申请
- 助学金
- Stipend: INR 7,000 – INR 20,000 / month
- 期间
- 3个月
- 开始
- 立即地
- 职位空缺
- 100
Candidates ready to undertake a remote internship, available from late July to early September 2026 for three months, with appropriate skills and interests in advanced chemistry. Must be PhD, postdoctoral, or top M.Sc graduates from top research institutes; women returning to academia are welcome.
- 工作模式
- 在家办公
- 学历
- PhD scholar or Postdoctoral researcher or Top-tier M.Sc graduate
- 恢复
- 需要申请
关于实习
About the Internship
This opportunity involves crafting highly detailed, PhD-level chemical evaluations focusing on quantum chemistry, sophisticated organic compounds, and intricate thermodynamic processes. The intern will design precise chemical logic representations using standardized textual notations, avoiding the use of chemical imagery or multimodal diagrams. Additionally, the role requires establishing robust validation frameworks to ensure all chemical formulas and reaction models are compatible with automated script verification.
Candidate Profile
Applicants must be poised for work-from-home roles, commencing between July 29, 2026 and September 2, 2026, and willing to commit to a three-month internship. Candidates should possess relevant skills and interests pertinent to advanced chemistry.
Compensation and Benefits
The stipend ranges from INR 7,000 to INR 20,000 monthly, split into a fixed component of INR 5,000 to 10,000 and an incentive portion of INR 2,000 to 10,000. Additional benefits include a certificate of completion, a letter of recommendation, flexible scheduling, and a five-day workweek.
Eligibility Criteria
- Applicants must be PhD candidates, postdoctoral researchers, or top-ranking M.Sc graduates from premier institutions such as IITs, IISc, and IISERs.
- Particular encouragement is given to high-potential women re-entering academia.
About Vedron
Vedron is a leading platform integrating practical AI solutions by collaborating with cutting-edge AI laboratories, enterprises, and government bodies. Its evaluation science framework employs model-agnostic techniques supplemented by a vetted network of over 10,000 domain experts across diverse fields, facilitating rigorous model assessments, red team challenges, and alignment methodologies that enhance performance and safety of AI systems.