Claude prompts for AI research scientist job searches

I am applying for the AI research scientist role below. Revise my CV to match it using only what is already in my CV. Do not invent papers, venues, citations, collaborators, results or systems. The posting may ask for a specific research area, a publication record, experience scaling experiments, or moving research into products; for each requirement, find the closest real evidence in my CV, and if there is none, put it under "Gaps" rather than writing it in. Output: a table with the columns requirement, evidence, rewritten line; a revised CV in plain text with a research summary of at most four sentences at the top, publications listed exactly as they are, and project or work lines that name the problem, the method and the finding; and the Gaps list with one honest sentence per gap about adjacent work. Keep every position, date and paper unchanged.

Job description:
[paste job description]

My CV:
[paste your CV]

Write a cover note of at most 150 words for the AI research scientist role below. Use only facts from my CV and my notes. No invented results, no "passionate", no "groundbreaking". Structure: one or two sentences that show I know the team's recent work and how my direction relates to it (use the papers or problems I list; do not invent any), two sentences on my most relevant result and what it showed, and one closing sentence with a specific ask. Then give a 60-word version for an email to a researcher on the team, which should reference one specific thing from their work that I name. Sentence case, plain words, no exclamation marks.

Job description:
[paste job description]

My CV:
[paste your CV]

Papers or problems from this team that I know:
[list them]

Why this team, in my words:
[two or three lines]

Act as the interviewer for a 45-minute AI research scientist screen at the company below. Ask one question at a time and wait for my answer. Cover, in order: a walk-through of my most important paper or project where you push on the method and the baselines (draw on my CV), one fundamentals question drawn from the job description (for example why a training objective behaves the way it does, what a scaling result implies, how to design a controlled ablation, or the failure modes of a common evaluation), one short coding or derivation question I could do in ten minutes, and one question on how I would choose the next problem to work on in this team's area. After each answer, score it 1 to 5, give a strong answer, and name the one thing I should have said. End with three things to review tonight.

Job description:
[paste job description]

My CV:
[paste your CV]

Run a research design interview with me for the role below. Pick an open problem that fits the team (for example improving a model's reliability on a class of inputs, reducing training cost without losing quality, or evaluating a capability that current benchmarks miss) and describe it in three sentences. Guide me one stage at a time, waiting for my answer: what the precise question is and what would count as an answer, the hypotheses, the smallest experiment that could falsify the main one, the baselines and controls, the evaluation and its known weaknesses, the compute and data budget, what I would do if the first result is negative, the risks of fooling myself, and how I would write it up. After each stage, point out what an experienced researcher would have raised that I missed. Finish with a one-page research plan in my corrected words. Do not give the full answer up front.

Job description:
[paste job description]

What I know about the team's work:
[a few lines]

Help me prepare behavioral answers for an AI research scientist interview using only the situations I describe below. Do not add details; if a story is missing an outcome or a number, ask me for it. First list the eight questions most likely for this role and company (a result that did not replicate, a disagreement with a co-author or advisor, choosing between a safe and a risky direction, handing research to an engineering team, a paper rejection, a mistake you owned, mentoring a junior researcher, and deciding when to stop a project). Then map each to one of my stories and write an answer of 150 to 200 words in the shape situation, action, result, what I would do differently. Flag where the same story is used twice so I can spread them out.

Job description:
[paste job description]

My stories, rough notes are fine:
[three to five real situations]

Turn my notes below into a research summary of 500 to 700 words for my personal site, first person, plain language, aimed at a hiring manager who is technical but not in my subfield. Use only what is in my notes and papers. Where something important is missing (the question, the method in one sentence, the main result with its number, the baselines, what it does not show, what came of it), insert a placeholder in square brackets and list the placeholders at the end. Structure: the question and why it matters, what was known before, what I did and the key idea, the result and the honest limitations, what others have done with it, and what I want to do next. Suggest a title, a two-sentence summary for the top, three honest CV lines, and one figure from my work that would carry the page.

Notes and paper abstracts:
[paste them]

I have an offer for an AI research scientist role. Below are the offer details, my current compensation, any competing offers and what I have found from public sources. Help me evaluate and negotiate honestly; do not invent market data, and tell me what to look up if you need a number I have not given. Output: (1) a table of four-year total compensation under a cautious and an optimistic equity assumption; (2) which components are most negotiable for this kind of organization (a lab, a large company, a startup) and why; (3) a short script for the call that asks for a specific number with a reason tied to my record, in a collaborative tone; (4) questions to ask before accepting, including the level, vesting, compute allocation, the publication policy and approval process, how research directions are chosen, who I would report to, and how research is evaluated. Under 500 words.

Offer:
[base, bonus, equity and vesting, signing bonus, location]

My situation:
[current compensation, competing offers, constraints]

Write a 30/60/90-day plan for me as a new AI research scientist on the team below. Keep it realistic: I have to learn the codebase, the infrastructure, the team's open questions and the results that did not get published before running anything large. Days 1 to 30: reading the team's recent work and internal write-ups, reproducing one existing result end to end, and meeting the researchers and engineers I would depend on. Days 31 to 60: a small experiment that answers a question the team already has, with a written result either way. Days 61 to 90: a research direction proposed in writing with the first experiment done, plus its risks. For each block, give three to five outcomes rather than activities and one question to ask my manager in week one. Mark assumptions I should verify. Under 450 words.

Job description:
[paste job description]

What I learned about the team in interviews:
[notes]

Help me prepare a 45-minute research talk for an AI research scientist onsite at the company below, plus the question period. Use only the work in my notes; do not add results or claims. First propose a talk outline with time per section: the problem and why this audience should care, the key idea, the main result with the figure that shows it, the honest limitations, and where it goes next, with a one-sentence takeaway for each section. Then write the twenty questions the audience is most likely to ask, grouped as method, baselines and evaluation, generality, relevance to this team's work, and skeptical, and for each give me a two-sentence answer based on my notes or a placeholder in square brackets where I need to supply the fact. Finish with five things to cut if I am running over time.

Job description:
[paste job description]

My notes, paper abstracts and results:
[paste them]