Home About Case Studies Hire Me Contact
Currently available for select engagements

Hire Chatbot Developer for Translation Agencies
Senior, direct, no layers

Hire a Chatbot Developer for Translation Agencies. A chatbot developer builds the assistant that answers clients needing certified, technical or literary translation when the team cannot: first questions about services, availability and process, answered instantly and accurately, with anything compl

15+
Years Experience
100+
Projects Delivered
6
Countries Served
$25M+
Revenue Enabled
Translation Agencies — Chatbot Developer

A senior chatbot developer for translation agencies

A translation agency's margin is decided in the handover gaps: quotes that take days because the source files were never properly scoped, linguists assigned without checking their subject specialism, translation memory that is not reused so the same sentences get translated twice, and quality checks squeezed at the end because the deadline moved. Clients notice inconsistency before they notice speed.

For Translation Agencies, the chatbot's job is the first five minutes of every enquiry: answer the routine questions clients needing certified, technical or literary translation ask, capture the details, and hand over warm.

A chatbot developer builds the assistant that answers clients needing certified, technical or literary translation when the team cannot: first questions about services, availability and process, answered instantly and accurately, with anything complex or sensitive handed to a human instead of guessed at. Book a free discovery call and we will test the fit on one real workflow before any wider scope is agreed.

What you get

What this engagement covers for translation agencies

  • A question bank built from the real enquiries Translation Agencies receive, not from imagined FAQs.
  • Answers grounded in the business's own material, with a clear line where the bot must stop and escalate.
  • Lead capture inside the conversation: the details the team needs, collected before a human replies.
  • Handover to email or messaging with the full conversation attached, so exporters, law firms, publishers and public bodies never repeat themselves.
  • Coverage for the hours the team is away, including the busiest enquiry windows.
  • Conversation logs reviewed regularly, so wrong or weak answers get fixed instead of repeated.
The systems translation agencies actually run

Built on your stack, not on top of it

Agencies typically translate in a CAT tool such as Trados, memoQ or Phrase, maintain translation memory and terminology bases per client, manage linguist vendors by language pair and specialism, and run linguistic QA before delivery. The work here connects quoting, assignment, memory reuse and QA instead of replacing tools linguists already trust.

The chatbot sits on the website and messaging channels clients needing certified, technical or literary translation use, answers from approved material, and hands conversations with context into the team's existing inbox or CRM.

Certified and sworn translations carry formal requirements that vary by jurisdiction and document type, and legal and medical source material carries strict confidentiality duties. Client documents stay inside the agency's own systems under its existing permissions, and no machine translation output reaches a client without a qualified human reviewing it. That constraint shapes the build from day one: permissions follow the team's existing structure, and nothing ships without the team's approval.

How it works

From kickoff to delivery for translation agencies

  1. Discovery and workflow pick

    Discovery starts with quote, linguist assignment, translation, editing and proofreading: where time is actually lost, which steps need a human, and one workflow chosen as the first job, with a success measure agreed before build.

  2. Build on your existing stack

    The chatbot developer work connects the CAT tools, translation memory and linguist vendor systems the team already runs, scoped to the chosen workflow, with the effect on exporters, law firms, publishers and public bodies checked at each step.

  3. Review and harden

    Real work runs through the result before launch: edge cases from quote, linguist assignment, translation, editing and proofreading, error handling, and the human review steps that must never be skipped.

  4. Launch and improve

    Go live to one team or one workflow, measure against the agreed success measure, and expand scope only on evidence from the delivery cycle.

Why Omer

Why hire Omer

  • Answers from your own material, not invented replies
  • Escalation designed in, not bolted on
  • Lead capture that saves the team a round of questions
  • Human handover with full context attached
  • Logs reviewed and answers improved over time
Outcomes

What changes in practice

The realistic outcome is steadier delivery: quotes that go out the same day, fewer re-translated sentences, terminology that stays consistent across a client's documents, and QA findings caught before delivery instead of by the client.

The change is faster first replies and fewer missed enquiries: routine questions answered at any hour, complex conversations reaching humans with context, and a team that spends less time repeating the basics. Browse all hire engagements or discuss your translation agencies workflow directly.

FAQ

Questions, answered

Will this work with the tools we already run?
Yes. The Chatbot Developer work is built on the CAT tools, translation memory and linguist vendor systems the team already runs, connected rather than replaced, so staff keep familiar tools and the new capability lands where it removes the most friction.
Will the chatbot ever invent an answer?
It is built not to. Answers come from approved business material, and questions outside that material get a handover to a human rather than a guess. Conversation logs are reviewed so gaps are closed with real answers, not plausible ones.
Does machine translation replace your linguists?
No. Machine translation, where a client agrees to it, is a drafting aid inside the agency's workflow. A qualified linguist still translates or post-edits, another reviews, and the agency's QA step runs before anything is delivered.
What does the first project usually look like?
The first project is usually one language pair's job flow done properly: quote from analysed source files, linguist matched on specialism and availability, translation memory applied before translation starts, and the edit-proof-QA sequence tracked to delivery.
What stays with a human, and what is automated?
Judgement stays with the team: anything affecting exporters, law firms, publishers and public bodies — approvals, client-facing messages and consequential decisions — is reviewed by a human. Automation handles gathering, sorting, drafting and chasing, and escalates anything uncertain.
Currently available for select engagements

Ready to get started?

The best way to explore working together is a quick conversation. Reach out through your preferred channel and let us discuss your project.