Evaluate AI-generated content in French, annotate language data, review prompts, and provide structured feedback to improve response quality while collaborating with QA Leads, clients, and global teams.
Evaluate AI-generated financial analyses, models, and investment reasoning for accuracy and quality, then create and refine finance evaluation prompts and datasets to improve advanced AI models.
Evaluate AI-generated financial analyses, models, and valuations for accuracy and sound reasoning, then create and refine finance prompts and datasets and provide feedback to improve AI performance.
Evaluate AI-generated financial analyses, models, and investment research for accuracy and reasoning, then create evaluation materials and provide actionable feedback to improve finance-focused AI systems.
Evaluate AI-generated financial analyses, models, and investment reasoning for accuracy and quality, then create evaluation materials and provide structured feedback to improve finance-focused AI models.
Evaluate AI-generated financial analyses for accuracy, reasoning, and quality; review models and valuations, develop finance evaluation materials, and provide actionable feedback to improve AI systems.
Evaluate AI-generated financial analyses, models, and valuation work for accuracy and sound reasoning, then create evaluation materials and provide actionable feedback to improve finance-focused AI models.
Build and maintain production-grade AI systems, integrating LLMs into backend services, APIs, orchestration layers, and data pipelines with a focus on reliability, scalability, and performance.
Build and maintain production-grade AI applications, developing Python backend services, integrating LLMs into workflows, and improving orchestration, data pipelines, reliability, and performance.
Review and label Danish-language data, assess training-data quality, interpret datasets, and provide translations or transcription to support accurate AI and business outcomes.
Evaluate finance-focused AI responses by creating realistic scenarios and expert reference answers, applying structured quality criteria, and identifying errors and improvement opportunities in LLM outputs.
Review and label Swedish and English language data, assess training-data quality, and transcribe or annotate audio and video while providing insights that support project goals.
Review and improve Finnish-language data by analyzing, labeling, and quality-checking datasets, providing translations and contextual insights, and transcribing or annotating audio and video when needed.
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