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Careerflow.ai

Full-Cycle Recruiter (Short-Term Contract)

Sorry, this job was removed at 05:38 p.m. (PST) on Friday, Jul 31, 2026
Remote
Hiring Remotely in United States
60-80 Hourly
Mid level
Remote
Hiring Remotely in United States
60-80 Hourly
Mid level

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Contract recruiter documents one recurring, long-duration recruiting task end-to-end in a structured form (triggers, steps, decision rules, tools, stakeholders, edge cases). Requires 10–15 hours over 7–10 days, an AI-driven screening interview, and a short assessment. Remote US 1099 role paid $60–80/hr, with possible extensions for strong performers.
The summary above was generated by AI

Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products.

We are working with an AI research organization that is building systems capable of handling long, multi-step professional work. To do that well, those systems need to learn from how expert practitioners actually operate, not from generic online content.

We're hiring experienced recruiters to document one long-term task from their own work in structured detail: the triggers, the steps, the decision rules, the tools, the stakeholders, the edge cases, and the judgment calls that don't appear in any playbook.

What you will do:
  • Choose one recurring task from your own work that spans days to months (for example, taking an approved req from intake through a signed offer)

  • Complete a structured online form documenting that task end to end, at a level of detail where someone who has never done the job could follow it

  • Cover the specifics: exact thresholds, scoring criteria, escalation paths, message channels, tool access, failure modes

  • This is expected to take approximately 10 hours of total time and can be completed in multiple sittings.

  • If you do well, you may be extended to provide multiple such submissions.

Requirements (all must apply)
  • 3+ years in full-cycle recruiting, agency or in-house, currently or recently practising

  • Ownership across the funnel from intake through offer, not sourcing only

  • Experience recruiting for US employers or the US market

  • Comfortable writing at length and being precise about numbers and rules

  • Available for 10-15 hours of focused work over a 7-10 day window

Process

The entire process is intended to be quick and simple, taking less than an hour or two of your time, with quick results.

  • You will need to go through an AI-driven interview (10-15 minutes) explaining your general background

  • You will need to perform a small assessment that mimics the actual work (~30 minutes)

  • Final review by in-house team

Company: Careerflow Human Data Labs

Type: Part-time contract (1099), fully remote (US)

Location: United States only

Commitment: 10-20 hours/week (flexible scheduling, weekends okay)

Compensation: $60 - 80 / hr (depending on experience)

Start date: Immediate

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

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