Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 7 hours agoWe saw it 109 min after it went up

Technical Writer

Vals AI7 open roles

Where
San Francisco
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowTechnical WriterVals AI · San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Vals AI's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Vals AI postings stay open a median of 14 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 7 hours ago

Vals AI median: 14 days open

The posting

ABOUT THE ROLE

We’re hiring a Technical Writer to shape how Vals explains some of the most important questions in AI: which models actually work, how enterprises should evaluate them, and how the industry should measure progress as capabilities improve.

You’ll write across three parts of Vals:

- Vals Smith, our product for evaluating models and agents on the actual work companies do.

- Our public benchmarks and research, where we independently measure frontier models across increasingly complex domains.

- Emerging policy and standards conversation around AI evaluation, where rigorous measurement is becoming increasingly important to how labs, enterprises, and policymakers understand model capabilities.

You’ll work closely with our research, engineering, product, and customer teams to turn technical work into sharp, accessible writing: benchmark reports, product launches, customer stories, model analyses, technical explainers, and occasional policy pieces.

We want someone who can understand the underlying work and develop a distinctive point of view on what matters. The goal is to make Vals one of the most trusted voices on how AI is actually performing — in benchmarks, inside companies, and as the technology becomes important enough to require better standards around how we measure it.

WHAT YOU’LL DO

- Interview customers, researchers, engineers, and technical leaders and turn those conversations into strong long-form pieces.

- Help establish Vals Smith as the leading way for enterprises to evaluate models and agents on their own workflows through product launches, customer stories, technical case studies, and original analysis.

- Ghostwrite and edit for Vals leadership and technical team members when their perspective should be part of the conversation.

- Help decide what Vals should be writing about in the first place — not just execute against a content calendar.

WHAT WE'RE LOOKING FOR

- A portfolio of long-form technical writing — published essays, research blog posts, lab posts, or industry reporting.

- Strong technical literacy. You don't need to be able to train a model, but you need to be able to read a paper, sit in on a research review, and come out with something accurate and sharp.

- An editorial point of view. You should have opinions about what's interesting, push back on weak takes, and not just transcribe what people say.

- Speed. We ship content the day a major model releases. You should be able to turn a publishable post in hours, not weeks.

- Ability to work in-person, in San Francisco. We will support your relocation as needed.

NICE TO HAVES:

- Prior research communications experience at an AI lab or research-led startup

- A technical background (CS, ML, math, sciences) that you've since translated into writing — e.g., engineer or PM turned writer.

- Prior writing for a top-tier technical publication or engineering blog

WHAT WE OFFER:

- Highly competitive salary and meaningful ownership. Excellence is well rewarded.

- Relocation and transportation support

- Full health, dental, and vision insurance coverage

- Lunch and dinner provided, free snacks/coffee/drinks

- 401K plan

- Unlimited PTO

- $1,500 housing stipend (within one-mile radius)

ABOUT US:

Founding team: The core methodology behind this platform comes from NLP evaluation research we had done at Stanford. We work with all the major foundation model labs, some of the largest financial institutions, and hospital systems in the world. Our team has prior work experience at NVIDIA, Meta, Microsoft, Palantir and HRT. Collectively, we have over 300 citations in our published work. Our early team includes Stanford PhDs, ex-Jane Street quants, and the first designer at Snorkel.

We recently announced our $40M Series A at a $400M valuation, led by Andreessen Horowitz https://www.linkedin.com/company/a16z/, with participation from existing investors 8VC https://www.linkedin.com/company/8vc/, Pear VC https://www.linkedin.com/company/pear-vc/, and Bloomberg https://www.linkedin.com/company/bloomberg/ and new investors Hudson River Trading https://www.linkedin.com/company/hudson-river-trading/ and NextLadder Ventures https://www.linkedin.com/company/nextladderventures/.

WHAT WE’RE LOOKING FOR

- Learning velocity: The role encompasses a wide variety of tasks. Rather than expecting you to be an expert on Day 1, we are looking for someone who can learn new skills and technologies quickly.

- Ownership: Working in a small, talent-dense team, we expect everyone to show initiative to build where it's needed, not where it's asked. We strive for autonomy over consensus.

- Intensity: The LLM landscape is constantly changing. Foundation model labs are continuously pushing the frontier. The unicorn companies that will emerge from this technology shift are being built now. Those that win will have an incredibly high speed of execution.

- Solution-oriented mindset: We're looking for people who see opportunities to craft solutions at each juncture, not those who pass hard problems to others or admit defeat.

Vals in the Media:

- AI tools mostly fumble basic financial tasks, study finds https://www.washingtonpost.com/politics/2025/04/22/ai-tools-mostly-fumble-basic-financial-tasks-study-finds/

- The Winners (and Losers) of This New Vibe-Coding Benchmark Will Surprise You https://www.inc.com/ben-sherry/the-winners-and-losers-of-this-new-vibe-coding-benchmark-will-surprise-you/91266938

- OpenAI’s Less-Flashy Rival Might Have a Better Business Model https://www.wsj.com/tech/ai/anthropic-business-model-ai-9e26b4ef

- Meta Announces New AI Model in Major Test of Company’s Ambitions https://www.wsj.com/tech/ai/meta-ai-model-muse-spark-09ceeac5

- DeepSeek’s Sequel Set to Extend China’s Reach in Open-Source A.I. https://www.nytimes.com/2026/04/24/business/china-ai-deepseek-open-source.html

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Vals AI's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Vals AI's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Vals AI's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.