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Open nowPosted 359 days ago

General Interest Application

pillarlabs2 open roles

Where
International
Work mode
Remote
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Your applicationOpen nowGeneral Interest Applicationpillarlabs · International

  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 pillarlabs'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.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 359 days ago

The posting

Join Pillar Labs, Shape the Future of AI Training Data

About Pillar Labs

Founded by a trio of researchers, Pillar Labs serves as the internal R&D and innovation engine behind some of the most technically advanced human data annotation in the world. We sit at the intersection of human expertise and artificial intelligence, developing cutting-edge systems, methodologies, and tools that push the boundaries of agentic AI training and evaluation data. Our mission is to enable models to think, reason, and act with greater autonomy, accuracy, and depth of understanding.

Why Submit a General Interest Application?

Even if we don’t have a current opening that perfectly matches your skills, we’re always looking for talented, driven individuals to join our team in the future. A general interest application allows you to be considered for joining a small, fast-moving team where you can have a real impact on the development of agentic AI data by contributing to cutting-edge projects in AI research.

Who We’re Looking For

We welcome candidates with diverse backgrounds who are passionate about AI, research, and operational excellence. Some examples of skills and experience that align well with our work:

  • Experience managing complex projects or multi-stakeholder initiatives in AI, data operations, product operations, or related technical/analytical fields.
  • Comfort working in early-stage or scaling environments where processes, systems, and roles are evolving.
  • Strong organizational, communication, and problem-solving skills, with an ability to balance multiple priorities.
  • Interest in using metrics and data to guide decisions, identify risks, and drive continuous improvement.
  • Flexibility to work across time zones, including some overlap with UK/European business hours, depending on the role.
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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against pillarlabs'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 pillarlabs'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

    pillarlabs'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

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  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.
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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.

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The numbers game

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