$90-$190/hr AI product management work, on your schedule
Review AI-drafted specs, model tradeoffs, and AI-feature strategy the way you'd review a launch built on a model you don't fully control. Flag the spec that ignores hallucination. Remote and paid hourly.
Trusted by top research companies
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 an AI PM's eye on a feature that ignores how the model fails 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.
AI Product Management questions
Still curious? Write to us at support@terac.com.
Deep specialization is what makes your responses valuable. We seek PMs focused on growth loops, developer platforms, API monetization, or infrastructure products, because models are weakest in precisely those sub-domains. You are matched to tasks that fit your experience, not asked to fake breadth you do not have.
Credentials like PMC, AIPMM CPM, and SAFe POPM are positive signals of structured thinking, not gatekeeping criteria. What matters most is demonstrated experience writing PRDs, defining success metrics, and making prioritization tradeoffs in real products. PMs from startups and regulated industries are consistently among our highest-rated contributors.
It is grounded in recognizable PM artifacts. You evaluate AI-drafted opportunity briefs, user story maps, OKR structures, go-to-market assumptions, and prioritization frameworks like RICE or MoSCoW. You may also do conversational interviews where you walk a model through a product decision, narrating your reasoning the way you would in a staff review.
B2B and enterprise experience is in high demand because models are undertrained on multi-stakeholder buying, procurement constraints, and champion-versus-economic-buyer dynamics. If you have worked with land-and-expand pricing, compliance-driven feature requirements, or enterprise customization, that context is scarce and you will find tasks that draw on it.
No task asks you to reproduce, describe, or evaluate anything tied to your employer's confidential processes, roadmaps, or internal tools. All scenarios are built from publicly documented frameworks, open-source tools like Jira and Amplitude, and synthetic product contexts. If a task feels like it pulls on employer-specific knowledge, flag it and it is replaced.
Why your expertise matters
AI-product AI writes a spec that depends on model behavior no team can guarantee, an eval rubric that misses the real failure modes, and a UX that breaks when the model is wrong. Catching that takes a PM who has shipped a feature like it. Your corrections teach these tools where model confidence deceives and what a regression looks like.
How pay works
Pay reaches the top of the $90-$190/hr band for hands-on ownership: PMs who shipped model-powered features to millions, wrote eval rubrics from scratch, or managed a model through a major regression. Fully remote and asynchronous, billed hourly, paid after a Terac reviewer verifies the deliverable.
What the work looks like
A sample of the AI product management work you would pick up. Every project is scoped, remote, and paid on verified completion.
- Review an AI-drafted spec for a copilot feature and flag every assumption that depends on model behavior the team cannot guarantee.
- Evaluate a draft eval rubric for a summarization feature and identify the failure modes it would miss in production traffic.
- Score five competing model outputs for a writing assistant against a quality rubric, noting where the rubric itself is underspecified.
- Write a worked example of acceptance criteria for a recommendation feature, explaining the precision-recall tradeoff at each latency tier.
- Review an AI-drafted postmortem for a model regression and assess whether the proposed monitoring would have caught it earlier.
- Critique an AI-drafted launch readiness checklist for an agentic product, flagging missing checks for multi-step model execution.
Specialties we match
AI Product Management projects span a wide range of focus areas. Tell us where you go deep and we route the work that fits.
- AI feature scoping and PRD writing
- Eval design and regression benchmarking
- Model selection and capability tradeoff analysis
- Hallucination and failure mode taxonomy
- LLM observability and prompt monitoring (Langfuse, Braintrust, Weights & Biases)
- Human-in-the-loop and fallback UX design
- Responsible AI and policy compliance (EU AI Act, NIST AI RMF)
- Latency-quality-cost optimization
- Fine-tuning vs. RAG vs. prompt engineering tradeoffs
- A/B testing model variants in production
- Agentic workflow product design
- Stakeholder communication for probabilistic systems
