Top Tech Jobs & Startup Jobs

Manage localization projects in the Life Sciences field, ensuring timely delivery and adherence to quality standards while coordinating with various teams.

Translate and edit content for marketing, ensuring cultural relevance and clarity. Collaborate on localization projects and provide structured feedback on language models.

The role involves evaluating and annotating AI-generated content while ensuring cultural relevance and accuracy. It requires attention to detail and strong analytical skills.

Create and review realistic media, broadcasting, and digital content scenarios in English/Russian for AI benchmarking. Adapt evaluation rubrics, assess AI and human outputs for accuracy, editorial quality, cultural appropriateness, and produce gold-standard solutions reflecting GCC newsroom and production practices.

The role involves evaluating AI outputs, generating content, providing annotations, and ensuring quality through cultural and contextual awareness.

Create and review realistic media, broadcasting, and content-production scenarios in English or target language; adapt evaluation rubrics; assess AI and human outputs for factual accuracy, editorial quality, cultural fit, and operational realism; produce gold-standard solutions reflecting local newsroom and broadcast best practices.

Create and review realistic, locale-specific financial tasks in Korean to evaluate AI. Score AI and human responses using rubrics, ensure regulatory alignment, produce gold-standard solutions, and provide expert feedback on accuracy and professional quality.

Create and review realistic, locale-specific robotics and natural sciences tasks in Korean; develop and apply scoring rubrics; evaluate AI and human responses for accuracy and regulatory alignment; provide expert feedback and gold-standard solutions.

Create and review realistic, locale-specific mathematics tasks and scoring rubrics in the target language to evaluate AI systems. Score submissions for accuracy and regulatory alignment, produce gold-standard solutions, and provide expert feedback to improve AI performance in local mathematical contexts.

The Project Manager is responsible for end-to-end project delivery, managing resources, ensuring quality and risk assessments, and overseeing technical execution while maintaining communication with stakeholders.