Top Tech Jobs & Startup Jobs

Translate and localize content between Polish and Latvian, edit for accuracy and tone, apply language standards, provide feedback to improve language model quality, collaborate with production teams, support localization, QA and transcreation for digital tools.

Translate and localize content between English and Latvian, edit for accuracy and tone, apply language standards, provide feedback to improve language models, collaborate with production teams, support QA and content development, and perform creative transcreation when required.

Translate and localize content between German and Norwegian, edit for accuracy and tone, evaluate language-model output, collaborate with production teams, and support localization, QA, and transcreation for digital applications.

Translate and localize content between English and Arabic, edit for accuracy and tone, apply language standards, provide feedback to improve language model quality, collaborate with cross-functional teams, support localization and QA for digital tools, and perform creative transcreation when required.

Manage the full expert lifecycle for a global network of linguists and AI data specialists: source, vet, test, onboard, and maintain the expert database. Run sourcing campaigns, design assessments, coordinate with Production/Revenue, analyze pipeline gaps, streamline processes, and train junior team members to ensure high-quality, multilingual and multimodal talent availability.

The role involves evaluating AI outputs, generating content, and providing feedback for model improvement while ensuring cultural relevance and accuracy. Candidates should possess native language fluency and strong analytical skills.

Translate and localize content between English and Hebrew, edit for accuracy and tone, apply language standards, provide feedback to improve language model quality, collaborate with production teams, support localization and QA for digital tools, and perform creative transcreation when required.

The AI Data Expert will evaluate AI outputs, provide cultural insights, generate content, and ensure quality by applying evaluation guidelines and offering clear feedback.

The role involves evaluating AI outputs, providing annotations, and generating culturally relevant content while ensuring quality guidelines are met.

Act as a technical SME to design localized evaluation scenarios, adapt rubrics, and review AI and human outputs for accuracy, cultural fit, and operational realism. Verify and refactor code in sandboxed environments and contribute gold-standard solutions grounded in domain workflows.