Deployment Specialist

Prox builds AI product specialists for companies that sell complex physical products: construction equipment, powersports, agricultural machinery, pro AV gear, HVAC systems, tools, firearms, medical devices, and anything customers have to install, assemble, configure, or troubleshoot.

Deployment Specialists help turn a customer's manuals, spec sheets, product pages, parts catalogs, and support docs into working Prox demos and customer trials. You are the backend deployment team: reviewing documents, testing chats, catching mistakes, preparing customer-ready agents, and keeping the US deployment lead unblocked.

This is not a generic data-labeling job. You will work on real customer deployments where accuracy matters.

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 tasks updated in Attio / Slack so the US deployment lead knows what is ready, blocked, or needs review.

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.

⊹ Basic comfort with browser-based tools, Slack, spreadsheets, and task trackers.

Preferred

⊹ 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.

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.