Prox gives equipment manufacturers AI product specialists for every product they sell -- one source-grounded expert that knows their manuals, spec sheets, parts catalogs, and support docs, then helps customers, dealers, and support teams choose, install, maintain, and troubleshoot complex equipment.
Deployment Specialists help turn live customer opportunities into deployed Prox demos and trials. You are part backend deployment support, part customer/account operator: reviewing documents, testing chats, catching mistakes, preparing customer-ready agents, keeping account context clean, and making sure the GTM/deployment owner is never blocked.
This is not an evals role or a generic data-labeling job. You will work on real customer deployments where accuracy, customer judgment, account management, and speed matter.
What you do
⊹ Review source documents and make sure the Prox agent captured the important facts correctly.
⊹ Test customer demo agents with realistic product questions.
⊹ Check whether answers cite the right manual pages and avoid hallucinated specs.
⊹ Verify visual artifacts like troubleshooting flows, product comparisons, install walkthroughs, maintenance checklists, and fitment tables.
⊹ Flag missing docs, broken product names, bad images, wrong specs, confusing answers, and unsafe responses.
⊹ Write short, specific feedback the engineering and deployment teams can act on.
⊹ Help prepare demo workspaces before sales calls and trial workspaces after customers upload docs.
⊹ Keep account and deal context updated in Attio / Slack: stage, blockers, next actions, customer asks, and what needs review.
⊹ Support the customer deal lifecycle after a prospect responds: demo readiness, follow-up prep, trial QA, feedback routing, and lightweight account management.
⊹ Help the GTM/deployment owner stay on top of every active customer without rereading old threads, Slack messages, docs, or call notes.
What good looks like
You notice that a torque spec disappeared from page 47. You catch that a wiring diagram was treated like a generic image. You ask whether a product comparison is actually supported by the source docs. You do not just say "this looks wrong" -- you explain what is wrong, where it came from, and what should happen next.
The best people in this role are careful, fast, consistent, and a little obsessive about getting details right.
Requirements
⊹ Strong written English.
⊹ Able to read dense technical documents for long stretches.
⊹ Comfortable comparing source material against AI-generated output.
⊹ Reliable on committed hours and daily communication.
⊹ Clear, specific feedback style.
⊹ Comfortable writing short customer-facing notes when the GTM/deployment owner needs help.
⊹ Basic comfort with browser-based tools, Slack, spreadsheets, and task trackers.
Preferred
⊹ Based in Argentina or a nearby LATAM timezone.
⊹ Prior deployment, implementation, QA, technical support, customer success, technical writing, research, translation, paralegal, support, or documentation work.
⊹ Experience with technical manuals, product docs, parts catalogs, engineering docs, legal docs, or other dense source material.
⊹ Markdown familiarity.
Compensation
⊹ Contract role
⊹ $5-$7 USD/hour
⊹ Full-time or near full-time availability preferred
⊹ Remote, Argentina / LATAM preferred
⊹ No equity or benefits
Process
Application → short prescreen challenge → short interview → paid trial tasks → contract offer.
The challenge is the main filter. You will review a real agent output against source material, identify disagreements, and explain what should be fixed.
Skills Required
- Strong written English.
- Able to read dense technical documents for long stretches.
- Comfortable comparing source material against AI-generated output.
- Reliable on committed hours and daily communication.
- Clear, specific feedback style.
- Basic comfort with browser-based tools, Slack, spreadsheets, and task trackers.
- Based in Argentina or a nearby LATAM timezone.
- Prior QA, AI evaluation, technical writing, research, translation, paralegal, support, or documentation work.
- Experience with technical manuals, product docs, parts catalogs, engineering docs, legal docs, or other dense source material.
- Markdown familiarity.
What We Do
Prox is an AI product specialist for manufacturers, providing AI-driven technical support for complex physical products. Their platform is grounded in product manuals and provides cited answers to users, deployed where customers and teams already work. By streamlining product discovery and support, Prox helps makers of complex physical things reduce the need for customers to manually search through technical documentation.
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