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Currently available for select engagements

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

Hire a App Developer for Translation Agencies. An app developer builds the application Translation Agencies need around quote, linguist assignment, translation, editing and proofreading: one tool that carries a job from start to finish, replaces the patchwork of messages, documents and spreadsheets,

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

A senior app 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, an application earns its place when it replaces the patchwork around quote, linguist assignment, translation, editing and proofreading: one job, one record, one status that staff and exporters, law firms, publishers and public bodies can both see.

An app developer builds the application Translation Agencies need around quote, linguist assignment, translation, editing and proofreading: one tool that carries a job from start to finish, replaces the patchwork of messages, documents and spreadsheets, and gives the team and exporters, law firms, publishers and public bodies the same view of where things stand. 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 job workspace where source files, translation memories, terminology bases and QA reports live against the right job, not across inboxes and drives.
  • Role-based views so staff, managers and exporters, law firms, publishers and public bodies each see what they need and nothing they should not.
  • Notifications tied to real stage changes in quote, linguist assignment, translation, editing and proofreading, so nobody has to ask for an update.
  • Document upload and approval flows with a clear record of who sent, checked and signed off what.
  • Search and reporting across jobs, so patterns in quote, linguist assignment, translation, editing and proofreading are visible instead of anecdotal.
  • A first release scoped to one workflow, with later features added on evidence from real use.
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 application becomes the workspace for quote, linguist assignment, translation, editing and proofreading, integrating with the CAT tools, translation memory and linguist vendor systems where data already lives rather than asking staff to maintain a second record.

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 app 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

  • One workspace per job, not another inbox to check
  • Permissions designed in from the start
  • Scoped to one workflow first, then extended on evidence
  • Built for the team's real devices and connectivity
  • Documented handover and a team that can run it
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 one place to look: jobs, documents and decisions in a single workspace, fewer messages asking for status, and a record of every job that survives staff changes. 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 App 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.
Should this be a web app or a native app?
For most Translation Agencies work, a web app is the right first answer: it works on any device, needs no app-store approval for updates, and covers the job-tracking and document flows the team actually needs. Native apps earn their place when offline use or device features are essential.
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

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