Recurring — agencies

Monthly Technical Interview Retainer for Recruiting Firms

White-label technical interview support for agencies that place AI, ML, and data talent.

What this service is

A recurring interview-as-a-service package for recruiting agencies and staffing firms that need ongoing technical interview support for AI, machine learning, data science, and related roles. Designed for firms that want a reliable white-label evaluation partner to help qualify candidates, improve the quality of submissions, and strengthen credibility with end clients. Predictable interview capacity, faster candidate turnaround, and better technical signal — without requiring the firm to build deep internal interviewing capability.

For recruiting agencies that place AI, ML, and data science candidates, technical credibility is both a competitive differentiator and a risk. When you submit a candidate who turns out to be weaker than represented, you lose the placement, damage the relationship with the end client, and pay the cost of restarting the search. The Monthly Retainer for Recruiting Firms solves this by giving you consistent, expert-level technical candidate evaluation as a recurring service you can rely on. You get white-label delivery, structured scorecards, and hiring recommendations you can pass directly to clients — without needing to build or maintain deep AI/ML interview expertise internally.

Problems this solves

End clients are questioning the technical quality of your candidate submissions before they agree to an interview
Your team has no way to independently verify whether an AI or ML candidate's technical claims hold up under real questioning
You are relying on the end client's technical screening to surface weaknesses that should have been caught during your own evaluation
Interview bandwidth is a bottleneck — you are slowing down candidate submissions because you do not have a reliable evaluation process at volume
Your competitors are differentiating on candidate evaluation quality and you need a repeatable process to compete on the same ground

What you receive

Agreed monthly volume of technical interviews across your active client engagements
White-label delivery — evaluations formatted for you to share under your firm's brand
Structured scorecards and hire/no-hire recommendations per candidate
Consistent evaluation criteria maintained across all candidates in the engagement
Priority scheduling and a dedicated turnaround commitment per retainer terms

How it works

Discovery call

We align on monthly volume, role types, evaluation criteria, white-label delivery format, and turnaround windows. Once agreed, the retainer agreement is signed and the engagement is set up.

Kickoff intake

You provide your active roles, candidate submission process, scheduling preferences, and any client-specific context we need before interviews begin. This step ensures the first interview runs without friction.

Ongoing evaluation

Candidates are submitted and interviewed as they come in — consistently evaluated against the agreed criteria each time. No coordination overhead on your end beyond the initial candidate brief.

Scorecard delivery

Scorecards and recommendations are delivered within the agreed turnaround window, ready to share with end clients. Invoiced monthly against the agreed retainer terms.

Who this is for

Recruiting agencies placing AI, ML, and data science candidates
Staffing firms that want to differentiate on technical evaluation quality
Agencies building a white-label technical interview capability
Firms managing ongoing hiring for multiple clients in the same AI/ML/DS space

Roles we cover

This service covers AI, ML, and data science roles — each evaluated against domain-specific criteria, not a generic technical checklist.

AI Engineer Interviews

Expert evaluation for candidates building LLM-powered products, RAG systems, and AI-native applications

ML Engineer Interviews

Structured ML engineer interviews that evaluate both modeling depth and production engineering execution

Data Scientist Interviews

Structured data scientist interviews for teams who need to evaluate statistics, experimentation, modeling, and business judgment — all in one assessment

Ready to get started?

Buy a single interview or book a call to discuss ongoing capacity.

Buy an interview Book a call

Frequently asked questions

Is the evaluation truly white-label?

Yes. Scorecards and deliverables are formatted for you to share with clients under your firm's brand. We do not appear in the evaluation materials, and the interview is presented to candidates as part of your process. White-label delivery is the default for all recruiting firm retainer engagements.

How do we handle multiple clients with different role requirements?

Each client engagement is scoped separately. Role briefs, seniority expectations, and evaluation priorities are agreed per client and per role type. We maintain consistent standards within each client engagement while accommodating different requirements across clients. As long as the roles fall within our coverage areas — AI engineer, ML engineer, data scientist — we can support concurrent client engagements.

Can we pass your scorecards directly to our end clients?

Yes — that is the intended use. Scorecards are structured and written to be shareable with hiring managers and technical stakeholders at your end clients. They present evidence-backed evaluations in a format that supports the hiring conversation without requiring technical interpretation from your team.

What turnaround do you commit to?

Turnaround windows are agreed at engagement setup and maintained consistently throughout the retainer. For most retainer engagements, scorecards are delivered within one business day of the interview. Priority scheduling is included as part of the retainer structure.

What is the minimum monthly commitment?

Monthly volume and minimum terms are agreed during engagement setup and depend on your anticipated hiring pace. We do not publish a fixed minimum because the right structure varies by agency size and client load. Book a call and we will align on what makes sense for your volume.

How do we get started?

The starting point is a scoping call to align on role types, monthly volume, evaluation criteria, and delivery format. From there we finalize the engagement terms and move into active delivery. The setup process is designed to be low-friction so you can start qualifying candidates quickly.

More questions? See the full FAQ or contact us directly.

Related services

Pay per interview

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Get a structured technical evaluation delivered by a practitioner who knows the domain — not a generic screener.