Product & UX Designers: $60-$160/hr from AI Labs

Open application· 78 spots this round

$60-$160/hr product and UX design work, on your schedule

Review AI-generated interfaces, flows, and design rationale the way you'd run a crit. Flag the pattern that breaks accessibility, the flow that adds friction, the rationale that's decoration not reasoning. The taste you've earned shipping products people actually use is exactly what AI labs need to learn from.

Fully remoteYour scheduleWeekly pay

Apply nowApply once, get matched on a rolling basis. No prior AI experience needed.

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Hi, we're Zac and Jack, the founders of Terac. We want to talk to you directly, because you are the most important part of what we're building.

Terac is a community of experts. People who have spent years getting good at something specific and hard. The world is about to need more of you, not less. As AI takes on more of the world's work, the bottleneck shifts to the people who actually know what they're talking about.

Expert labor is the rarest resource in the world right now, and it is shockingly hard to find. The companies that need a design lead's eye on a broken onboarding flow spend weeks chasing people, paying placement fees, and settling for whoever is available. Meanwhile thousands of qualified people are sitting with knowledge that no one ever asks for.

That gap is what we're here to close. Every project that lands on Terac is routed to the people who actually know the answer, on their schedule, paid fairly, and only when the work is verified. No middleman taking a cut of your time. No vague gigs. No chasing checks.

We care about every single person in this community. If you join Terac, you're not a row in a database to us. We read the feedback. We answer the emails. We will fight for you when a customer is being unreasonable, and we will be honest with you when something on our side is broken. The quality of this panel is our entire company, and we owe you a serious bar.

If you've made it this far, here is what we're asking: claim your profile. Put your expertise on the record. Let the world's most ambitious teams come find you for the work only you can do.

Zac & Jack

Founders

Product & UX Design questions

Still curious? Write to us at support@terac.com.

Accessibility is one of the most consistently in-demand sub-specialties because it is among the hardest for AI models to reason about correctly: the failure modes (color contrast logic, focus management, ARIA misuse) are numerous and context-dependent in ways that a model trained on documentation alone gets wrong in predictable patterns. If you can evaluate AI-generated designs or annotated code against WCAG 2.2 AA or AAA criteria and articulate why a specific violation matters for a real user, that skill maps directly to tasks Terac routes to accessibility specialists.

Design system work is a recognized task category. Reviewers with hands-on Figma experience are asked to assess things like whether AI-generated component-naming conventions follow established token standards (spacing, color, typography scales), whether variant logic is internally consistent, and whether documentation would actually support a developer handoff. If you have shipped and maintained a design system, that specific judgment is the signal the tasks are calibrated to surface.

You are never asked to approve or certify AI outputs; you are asked to critique them. The tasks ask you to flag where an AI-generated usability report overstates findings, conflates observed behavior with inferred intent, or reaches conclusions that the described study design could not support. Your professional obligation to represent research accurately is not in tension with the work - it is precisely the standard the rubric is graded against.

Yes. Tasks in this category include evaluating AI-generated service blueprints for gaps between frontstage and backstage actions, assessing whether a proposed touchpoint sequence correctly accounts for channel-switching behavior, and critiquing AI-written journey maps for misattributed pain points or missing moments of truth. Service design experience translates directly because AI models tend to flatten systemic complexity into screen-by-screen flows, and a practitioner who thinks at the systems level catches those reductions immediately.

Product designers are matched to tasks that reflect visual and interaction design judgment: evaluating whether an AI-generated prototype respects established mental models, whether a proposed navigation pattern will create orientation errors at a given information architecture depth, or whether a component's affordance signals are legible without explanation. Tasks involving research methodology - protocol design, participant recruitment criteria, survey instrument critique - are routed separately to researchers, so you are not expected to review outside your practice area.

Why your expertise matters

AI models increasingly generate design artifacts - wireframes, user flows, design system documentation, usability recommendations - but they lack the practiced judgment to evaluate whether those outputs would actually serve real users or hold up in a real product environment. A working UX designer brings accumulated pattern recognition from moderated research, heuristic audits, and shipped products that no amount of text training can replicate. The gap between a syntactically correct design rationale and one that reflects genuine user empathy is exactly what frontier labs need human experts to close.

How pay works

Rates trend toward the top of the $60-$160/hr band for designers who can evaluate complex interaction patterns, articulate specific heuristic violations with design-system-aware reasoning, or work across specialized domains like accessibility compliance (WCAG 2.2 AA/AAA), enterprise SaaS, or health/fintech regulated interfaces. All work is fully remote, compensated hourly, and payment is released upon verified completion of each task - there are no advance payments and no minimum hour requirements.

What the work looks like

A sample of the product and UX design work you would pick up. Every project is scoped, remote, and paid on verified completion.

Review an AI-generated user flow for a checkout experience and annotate where the proposed steps violate progressive disclosure or create unnecessary cognitive load.
Evaluate a model-produced heuristic audit report against a provided set of screenshots, flagging findings that are misclassified, overstated, or missing entirely.
Create a worked example of an annotated wireframe critique showing how you would redirect a junior designer who proposed a pattern that breaks WCAG 2.2 contrast requirements.
Rate a set of AI-generated design rationales for plausibility and specificity, distinguishing responses that reflect genuine user-research grounding from those that sound authoritative but are vague.
Write a structured usability test plan for a given feature scope, demonstrating the task-design decisions and recruitment criteria a senior researcher would apply.
Assess whether an AI-proposed component-naming convention for a design system follows established token and nomenclature standards you would enforce in a real codebase handoff.