- ಅನುಭವ
- 3–6 ವರ್ಷಗಳು
- ಸಂಬಳ
- —
- ತೆರೆಯುವಿಕೆಗಳು
- 1
- ಪೋಸ್ಟ್ ಮಾಡಲಾಗಿದೆ
- 10 ಗಂಟೆಗಳ ಹಿಂದೆ
- ಕೆಲಸದ ಮೋಡ್
- ಮನೆಯಿಂದ ಕೆಲಸ ಮಾಡಿ
- ವಿದ್ಯಾಭ್ಯಾಸ
- Master's or PhD
- ಅರ್ಹತೆ
- Candidates with Master's or PhD degrees in STEM fields and a proven research background including published papers can apply. Coding experience is beneficial for certain positions.
- ಪುನರಾರಂಭ
- ಅರ್ಜಿ ಸಲ್ಲಿಸಲು ಕಡ್ಡಾಯ
ಕೆಲಸದ ವಿವರ
Overview
QA Solvers Inc. seeks seasoned STEM professionals to join as experts for an AI model evaluation initiative. Candidates will play a pivotal role in assessing and validating artificial intelligence outputs and contributing to data creation in various scientific disciplines.
Key Responsibilities
- Assess and authenticate AI-generated responses across scientific domains.
- Address and analyze specialized STEM problems relevant to the project needs.
- Develop precise, logical explanations underpinning the solutions and evaluations.
- Scrutinize technical materials to ensure quality and accuracy.
- Maintain strict adherence to confidentiality and predefined project directives.
Candidate Profile & Eligibility
- Holders of a Master’s degree or PhD in Mathematics, Physics, Chemistry, Biology, or Engineering.
- Strong foundation in research demonstrated through mandatory published works.
- Excellent expertise and critical analytical ability in their respective subjects.
- Coding proficiency is advantageous, especially for roles focused on coding tasks.
Experience Preferences
- Background in AI model evaluation, annotations, or technical reviews is valued.
- Experience with programming and algorithmic problem-solving is a plus for certain roles.
- Academic or industrial research involvement is preferred.
Project Scope
The project encompasses various STEM disciplines including Mathematics, Physics, Chemistry, Biology, and Engineering with both coding and non-coding aspects.
Application Requirements
Applicants need to submit an updated resume or CV, details of their highest academic qualification, subjects of specialization, published research papers, and their availability schedule.