Nine specialist roles. Project-based. Remote-first. Vetted through talent.myndQ.ai, paid like specialists, deployed against regulated-industry work that ships in production.
If you've shipped AI inside a bank, a hospital, a pharma R&D group, or a plant floor, you're exactly who we're looking for. We pay above market because we expect senior judgment, not seat-time.
Day rates posted. NDAs you can read. No bait-and-switch on scope after you sign.
You see the client, the budget, and the success metrics from day one. No middleman tax.
Screening via myndQ takes 90 minutes, two rounds. Instant transparent scoring with clear feedback. Top scores and qualified counts published on job leaderboard.
We don't take work in industries we can't ship in. The pipeline you're applying to gets deployed against three sectors where AI judgment matters more than AI hype: financial services, healthcare and pharma, and energy and manufacturing. Industry depth pays a premium on every role, in every tier. If you've shipped inside one of these, tell us in your application.
Banks, insurers, asset managers, fintech. The places where one hallucinated number creates a regulatory paper trail.
Payers, providers, life sciences R&D, medical devices. Where AI meets PHI, FDA, and a patient on the other end.
Utilities, oil and gas, industrial manufacturing, advanced supply chain. Where AI meets OT systems, plant safety, and ESG reporting.
You're the person in the room when the CEO asks, "what should we actually do about AI?" You interview their leaders, audit the stack, separate signal from vendor noise, and walk out with a 12-month roadmap the board will fund. We hand you the engagement. You hand us a brief that closes the next three.
Every contractor in this pipeline is a single point of leverage. One person who can lead a Diagnostic. One who can architect a RAG stack. One who's debugged enough drift incidents to know what's worth a 2am page. We pay accordingly.
You build the multi-step agents that actually do work. Claims triage. Lead qualification. Document review. The kind of thing where one bad output costs the client money and trust, so you obsess over tool design, escalation paths, and the boring 80% of failure modes nobody demos.
Every AI system the client wants depends on data they don't think about. You're the person who fixes the ingestion, the chunking, the embeddings, and the retrieval, so the model has a fighting chance. Less glamorous than agents. Twice as important.
Most consultancies skip this. We don't, because it's where our retention comes from. You build the eval suites, the red-team scenarios, the guardrails, and the audit trails that let a CIO or CISO actually sign off on production AI. You also write the policy doc that matches.
Most AI rollouts don't fail at the model layer. They fail because the people who were supposed to use the thing didn't change how they worked. You're a hybrid: part instructional designer, part change consultant, part workflow engineer. You make adoption the thing the client brags about.
You're the person who keeps shipped systems alive. Drift monitoring, prompt and eval tuning, vendor change management, monthly exec readouts. You operate as a fractional AI Ops lead across 3–5 client accounts at a time, with your own playbook and dashboard rhythm.
Dual-purpose role. You'll lead AI-for-People-Ops engagements for clients (resume triage, JD optimization, interview prep, onboarding copilots), AND you'll feed the roadmap for our own talent platforms hr.myndQ.ai and talent.myndQ.ai. You see what hurts in the field, we ship product against it.
Our pipeline runs on differentiated thought leadership, not paid ads. You'll own the content engine: research briefs, LinkedIn carousels, the diagnostic tool funnel, and the campaign architecture that turns a 2026 AI Readiness Brief reader into a booked diagnostic. You write like an executive talks, not like a copywriter trying to sound smart.
You're the person we put on every engagement in a regulated sector. You translate between the AI engineers, the compliance officers, the model risk team, and the auditor who shows up next Q. Less about writing policy from scratch, more about making sure what we ship maps cleanly to the framework the client has to defend.
Industry depth is rewarded everywhere on the bench. This is roughly how the demand splits across the three sectors we serve, based on Q1–Q2 2026 active and forecast pipeline.
The process is short on purpose. Long screening pipelines are how you lose senior people. We do enough to know you can ship, then we put work in front of you. If something doesn't fit, we tell you why and move on, fast.
Submit through talent.myndQ.ai. No cover letter. Pick the role, paste links, answer three questions about a real project.
Role-specific screening conducted by myndQ. Instant transparent scoring, clear feedback. Top scores show on the public job leaderboard.
One call with the Diagnostic Lead or Vertical Lead who'd actually staff you. We answer your questions about the work and the rate.
You're on the bench. We match you to a real engagement, brief you in, and you start. You can pass on it. We won't take it personally.
One application form. One AI-conducted screen. One human conversation. Then real work, on real engagements, with rates you can read out loud. The 2026 cohort is forming now.