Company

Technology

Hamal-PromptCreationExpertNorwegian

$550–750k ~AI est. Norway Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Hamal- Prompt Creation Expert Norwegian. Skills: Prompt creation, Localization. Engineer system prompts. Engineer user prompts”

What You'll Achieve.

Redefine traveler engagement; Amplify car hire convenience

Industry & Context.

Technology
Problems you'll solve

Handle complexities

What They're Looking For.

Must Have

Experience with LLMs

Nice to Have

Experience with car rental industry

What You'll Do.

Engineer system prompts

Engineer user prompts

Create fluent content

Create native-sounding content

Localize car hire tips

Ensure prompts account for grammar

Ensure prompts account for formality

Ensure prompts account for pronoun conventions

Ensure prompts account for transport terminology

Ensure prompts account for cultural nuances

Produce localized example outputs

How You'll Work.

Team & Collaboration

Work with team

Communication Scope

Clear advice; Concise advice; Actionable advice

Full Job Description

## Description About the Role:  We’re searching for talented linguists to join Project Hamal and help us redefine how travelers engage with car rental and driving tips worldwide. This isn’t just a translation job — it’s an opportunity to craft AI-powered localization prompts that produce natural, culturally relevant, and engaging content for a major travel platform. You’ll play a key role in ensuring travelers get clear, concise, and actionable advice, all while amplifying the convenience of car hire services globally.   Key Responsibilities  Engineer system and user prompts that guide LLMs (large language models) to create fluent, native-sounding content for Norwegian (Norway)  Localize car hire tips across six key topics: driving style, parking, tolls and road charges, getting to rental counters, top sights by car, and insurance. Norwegian (Norway)  - specific rules to ensure prompts account for grammar, formality, pronoun conventions, transport terminology, and cultural nuances. Produce two localized example outputs based on real source content. Identify and flag edge cases to help the team handle complexities like language expansion, cultural sensitivities, or technical constraints. Project Details: 

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