Research Engineer / Scientist, Alignment
This critical role focuses on ensuring that advanced Large Language Models (LLMs) are safe, beneficial, and aligned with human values. You will collaborate with top AI safety researchers to develop, test, and deploy sophisticated alignment techniques (such as Constitutional AI and RLHF). Key responsibilities involve designing robust evaluation metrics, performing deep empirical analysis of model behavior in adversarial settings, and implementing mitigation strategies for emergent risks. The ideal candidate must have a strong background in interpretability, causal inference, or safety-critical ML systems. Experience with policy development and translating ethical principles into measurable engineering tasks is highly valued, making this a deeply impactful position at the intersection of AI research and philosophy.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1200
Question set
300
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Research Engineer / Scientist, Alignment?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Research Engineer / Scientist, Alignment?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the Anthropic test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Research Engineer / Scientist, Alignment test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: AI Safety, Alignment, Machine Learning, NLP.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.