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Research Analyst — STEM Domains (AI Evaluation)
Location: Remote
Department: Research Operations
About the Role
We are engaged in the development of high-quality evaluation data for advanced
AI systems, in partnership with a leading global AI research organization. We
are hiring Research Analysts for our STEM stream to author complex,
source-verified research questions across scientific, technological, medical,
and financial subject areas.
This is a rigorous, detail-oriented research position. Analysts are responsible
for the end-to-end production of research tasks: identifying verifiable facts in
public sources, constructing original multi-step research questions, and
documenting the verification process to auditable standards.
Key Responsibilities
- Conduct in-depth research across publicly available sources, including
peer-reviewed publications, regulatory and government databases, statistical
repositories, and technical documentation.
- Author original, multi-step research questions with a single, objectively
verifiable answer, in accordance with internal quality specifications.
- Verify all factual claims against multiple independent, publicly accessible
sources prior to submission.
- Produce complete documentation of the research and verification process for
internal review.
- Meet defined quality, accuracy, and throughput standards, completing each
assignment in full before commencing the next.
- Adhere to all project protocols, quality checklists, and confidentiality
requirements.
Required Qualifications
- Bachelor's degree (completed or final year) in engineering, the sciences,
mathematics, medicine, pharmacy, or economics from a recognized institution;
candidates from premier institutions (IIT, NIT, BITS, IISc, AIIMS, or
equivalent) are strongly encouraged to apply.
- Demonstrated ability to read and accurately interpret technical material —
research papers, statistical tables, datasets, and regulatory documents.
- Excellent written English, with the ability to draft precise, unambiguous
analytical prose.
- Strong attention to detail and a disciplined, process-driven working style.
- Full-time availability; own laptop and reliable high-speed internet connection.
Preferred Qualifications
- Postgraduate degree (M.Tech, M.Sc, MBBS, M.Pharm, MA Economics, or equivalent)
in a relevant discipline.
- Prior experience in academic research, scientific writing, data analysis,
fact-checking, or technical editing.
- Participation in olympiads, research fellowships, or comparable
merit-based programs.
Job ID: 151469889