Technical Program Managers: $80-$180/hr from AI Labs

Open application· 58 spots this round

$80-$180/hr technical program management work, on your schedule

Review AI-generated program plans, risk assessments, and cross-team coordination the way you'd review a launch plan before commit. Flag the dependency no one owns, the risk buried in the timeline, the plan that assumes everything goes right. The judgment that lands complex launches across teams is what AI labs need.

Fully remoteYour scheduleWeekly pay

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

Trusted by top research companies

Rated by experts worldwide

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 TPM's eye on a plan that hides a critical dependency 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

Technical Program Management questions

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

Yes. Terac specifically needs TPMs who can evaluate AI outputs about cross-functional coordination, risk tracking, and milestone planning across hardware, silicon, and firmware programs, not only Agile software sprints. Your experience with ECO processes, NPI schedules, and supplier dependencies fills gaps that pure software-track TPMs cannot cover.

All of those credentials signal useful depth, but what matters more is whether you actively use the underlying practices. A SAFe Program Consultant who runs ARTs daily is just as valuable as a PgMP managing a multi-program portfolio. You will be asked to evaluate AI-generated content against the specific framework you know best, so any active certification or recent hands-on experience qualifies.

The work is grounded in real TPM deliverables. You will review and critique AI-produced artifacts such as dependency maps, risk registers, escalation memos, milestone trackers, and cross-team alignment documents. You may also be asked to create worked examples that show how you would structure a program status update or a go/no-go decision briefing from scratch.

Regulated-industry TPM experience is among the hardest for AI models to replicate accurately, which makes it particularly valuable here. If you are comfortable evaluating AI outputs against ITAR handling requirements, AS9100 or CMMI documentation standards, or FDA traceability obligations, that sub-specialty is actively sought. You will not be asked to share any controlled or proprietary program data from your employer.

No task will ask you to disclose, reference, or derive answers from confidential information belonging to your employer or any third party. Every task is self-contained: you will work from scenarios and artifacts that Terac provides, and your contribution is your reasoning and domain judgment, not proprietary data. If a prompt ever appears to solicit internal information, you are expected to flag it rather than answer.

Why your expertise matters

TPMs operate at the intersection of engineering, product, and business execution - a combination that AI models routinely get wrong by defaulting to generic project management advice that ignores the hard technical tradeoffs unique to software delivery at scale. Your judgment on how to decompose ambiguous cross-functional work, sequence dependencies across distributed systems, and communicate engineering risk to non-technical stakeholders is exactly the reasoning that current models lack and training data needs. AI systems used for technical planning, roadmap generation, and program-level risk assessment need ground truth from practitioners who can spot when a proposed plan looks plausible on paper but would collapse under real engineering constraints.

How pay works

Pay within the $80-$180/hr band is driven primarily by depth of technical scope: TPMs with hands-on experience running programs involving distributed systems, hardware-software co-design, or platform migrations at organizations with significant engineering headcount consistently qualify for the upper range. Remote tasks are assigned asynchronously, you choose which ones to accept, and payment is released after each task is verified complete - there is no minimum commitment and no retainer structure.

What the work looks like

A sample of the technical program management work you would pick up. Every project is scoped, remote, and paid on verified completion.

Review an AI-generated program charter for a platform migration and identify where the dependency graph is underspecified or where critical stakeholders are missing.
Evaluate a model-produced RAID log for a multi-team product launch and flag risks that a TPM would escalate versus ones that are routine noise.
Create a worked example of how you would scope a cross-org initiative from a vague executive directive, showing the clarifying questions, intake process, and first-draft milestone structure you would actually use.
Assess an AI-drafted launch readiness checklist for a backend API release and correct the sequencing errors and missing technical exit criteria.
Write a realistic weekly program status update for a stalled infrastructure modernization program, demonstrating how you frame technical blockers for VP-level audiences without losing accuracy.
Annotate a set of AI-generated escalation decisions in a program timeline, labeling which calls reflect sound TPM judgment and explaining why the flawed ones would mislead an engineering team.