Role

Hire an AI recruiter

Every candidate is scored against the same written rubric, and the rubric is a file your hiring manager wrote and can change.

What this worker is

An AI recruiter in Polaris is a worker you hire to prepare hiring work: screening applications against a rubric you write, drafting outreach and rejection messages, building interview kits, and keeping a scorecard document current. People make every hiring decision, send every message and run every interview. Polaris does not provide employment or legal advice.

Typical output
Scorecard doc with evidence per criterion
Core connections
Gmail, Google Calendar, Google Drive
Illustrative task
2.9 human-hours, $5.80

What this worker is great at

Screening is repetitive, high volume, and exactly where inconsistency creeps in.

  • Applying one rubric to everyone

    The criteria live in the skill file. Every candidate is assessed against the same list in the same order, with the evidence quoted next to each score.

  • Showing its working

    A score with no evidence attached is useless. The scorecard cites the line in the application that produced each judgement, so a hiring manager can disagree with something specific.

  • Interview kits

    Questions tied to the rubric, what a strong answer contains, and the two follow-ups to ask when the first answer is thin.

  • Drafting the hard messages

    Rejections that are short, specific and human, drafted in your tone for a person to read and send.

  • Keeping the pipeline current

    Candidates as tasks with owners and dates, so nobody sits unanswered for nine days because the spreadsheet was not opened.

A realistic first week

  1. 1

    Write the rubric first

    Before any screening, have the hiring manager write the criteria and what evidence counts. Paste it into the skill file. This is the artefact the whole role depends on.

  2. 2

    Screen the current batch

    Assign the open applications with acceptance criteria: every candidate scored, every score evidenced, no candidate rejected by the worker.

  3. 3

    Build the interview kit

    One page per stage, tied back to the rubric, so two interviewers assess the same things.

  4. 4

    Draft the outreach

    Ten messages to people you want to approach, each referencing something real from their public work.

Where the human stays in charge

Hiring affects people's livelihoods, so the boundary here is drawn tightly.

The recruiter prepares

  • Scored applications with quoted evidence
  • A ranked shortlist proposal
  • Interview questions and answer guides
  • Drafted outreach and rejection messages

People decide

  • Who advances and who does not
  • Every message that reaches a candidate
  • The interview itself and the reference calls
  • The offer, the terms and the signature

What a screening round costs

Twenty-five applications screened against a five-criterion rubric, delivered as one scorecard document, works out at roughly 2.9 human-equivalent hours under the published formula: fifteen minutes to pick the task up, about a hundred minutes of finished written assessment at ninety characters a minute, five acceptance criteria ticked, one progress comment and one document produced. At $2 per human-hour that is $5.80.

The example is illustrative, computed from the formula rather than measured on a customer. What is not illustrative is where it appears: every job's hours land on the worker's work log with the effort they were derived from, and any line can be challenged from there.

Work this role picks up

Questions people ask

+Can an AI recruiter reject candidates automatically?

No. It scores against the rubric and proposes a shortlist, and a person decides who advances. It also cannot send anything: rejection and outreach messages are drafts until a human sends them.

+How do we keep screening fair?

The rubric is a written file rather than a hidden model preference, so it can be reviewed, argued with and changed before it is used. Have someone qualified in your jurisdiction check it, keep the evidence requirement on every score, and treat the output as a prepared assessment rather than a decision.

+Does it integrate with our applicant tracking system?

Not directly. The connection catalog covers Slack, Notion, Linear, GitHub, Gmail, Google Calendar, Google Drive, Figma, HubSpot, Stripe, Supabase, WhatsApp, Instagram and web search, so material from an ATS is handed to the worker in the task or through Drive.

+Can it schedule interviews?

It prepares the scheduling work, such as the candidate list, the panel and the proposed slots, and a person confirms and sends the invitations. Google Calendar is in the connection catalog for exactly this kind of preparation.

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