Player-facing text quality work on a large shipped title.
Translation review, tone alignment, and terminology discipline across the game.
Localization workflows built around structured string review rather than code implementation.
Context#
This project sits in a different category from the rest of the portfolio, but it belongs here because it shows a different kind of responsibility: quality work that directly affects how players experience the product.
I was appointed as the official Italian localization proofreader for Black Mesa. The work included both translation contribution and final review, which meant the standard was higher than simply delivering a literal translation of source text.
What the Work Actually Required#
Localization quality is easy to underestimate when people describe it as “just text work”. In practice, it requires a mix of linguistic judgment, consistency, and restraint.
The task was not only to translate strings from English into Italian, but to preserve:
- the intended tone of dialogue and player-facing messaging
- consistency of naming across menus, HUD elements, prompts, and narrative text
- readability under the constraints of in-game UI and context
That meant reviewing strings as part of a system, not as isolated sentences.
Proofreading and Release Quality#
Proofreading work becomes especially important once a project reaches the point where consistency matters more than raw throughput. At that stage, small issues become visible to players immediately:
- inconsistent terminology breaks trust
- awkward wording can make interfaces feel amateurish
- over-literal translation can flatten tone or clarity
My role was largely about catching those issues before they became part of the final player experience.
Why It Matters in This Portfolio#
This article is here because it shows a professional habit that applies well beyond localization: the ability to care about finish quality, not only implementation.
Whether the output is gameplay code, AI behavior, level flow, or written content, the same principle holds: details that look small in isolation can define whether the final result feels coherent.