All roles

Hamal- Prompt Creation Expert Spanish (Argentinian)

Remote · USA Full-time New today

About the Project 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. What You’ll Be Doing Engineer system and user prompts that guide LLMs (large language models) to create fluent, native-sounding content for Spanish (Argentinian) 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. Spanish (Argentinian) -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: Start Date: ASAP Duration: up to 5 hours with possible extension Job Type: Freelance Location: Remote (Argentinian) Language: Spanish (Argentinian) Pay Rate: $30.00/hour What We’re Looking For Native or near native speaker of the Spanish (Argentinian) language with strong English proficiency. Proven experience in localization or UX writing — you know how to work within tight character limits and craft user-friendly content. Confidence in AI content workflows — you can structure, refine, and evaluate LLM prompts to ensure high-quality outputs. Familiarity with travel and transport terminology in your market — you understand car hire, tolls, parking systems, and driving regulations.

Nice to Have

Experience writing for travel platforms or mobile UX environments. Knowledge of local driving laws, emissions zones, or toll systems. A background in evaluating AI-generated text for fluency and tone. Thank you for your interest in joining Welo Data’s community and contributing to this exciting project. We look forward to collaborating with you! \n \n Apply To This Job

Related roles

Hamal- Prompt Creation Expert Estonian (Estonia)

Remote · USA Full-time

Hamal- Prompt Creation Expert Latvian (Latvia)

Remote · USA Full-time

Bharani- Prompt Creation Specialist-Bulgarian (Bulgaria)

Remote · USA Full-time

Hamal- Prompt Creation Expert Serbian (Serbia)

Remote · USA Full-time

Hamal- Prompt Creation Expert Slovenian (Slovenia)

Remote · USA Full-time

Hamal- Prompt Creation Expert Korean (Korea)

Remote · USA Full-time

Hamal- Prompt Creation Expert Malay (Malaysia)

Remote · USA Full-time

Hamal- Prompt Creation Expert Spanish (Spain)

Remote · USA Full-time

Hamal- Prompt Creation Expert Indonesian (Indonesia)

Remote · USA Full-time

Hamal- Prompt Creation Expert Finnish (Finland)

Remote · USA Full-time

Experienced Customer Support Representative – Remote Chat Support for arenaflex

Remote · USA Full-time

Tax Staff Accountant

Remote · USA Full-time

Arabic Language Tutor | Remote or In-Person | Flexible Hours | £20–£40/hr

Remote · USA Full-time

Experienced Part-Time Remote Data Entry Specialist – Precision and Dedication in Financial Services

Remote · USA Full-time

Technical Writer job at Telos in Ashburn, VA

Remote · USA Full-time

Immediate Hiring: Customer Service Representative APAC at arenaflex

Remote · USA Full-time

Experienced Customer Service Representative – Delivering Exceptional Experiences for arenaflex Customers

Remote · USA Full-time

Associate Director, Regional Accounts (ESI Vertical) – Mid-East (DE, IN, MO, OH, PA, WV, TN)

Remote · USA Full-time

Senior Project Manager

Remote · USA Full-time

Karriere im Finanzvertrieb (m/w/d) – Einstieg mit klarer Perspektive & ohne Kaltakquise (German Speaking)

Remote · USA Full-time