 
						Multimodal Ai Evaluation Specialist
1 semana atrás
Job DescriptionWe seek highly skilled Multimodal AI Evaluation Specialists to join our team.In this role, you will be responsible for evaluating the accuracy, appropriateness, quality, clarity, and cultural alignment of AI system outputs across different modalities: text, image, video, and multimodal interactions.You will assess the results against complex guidelines, ensuring that they align with project standards and real-world use cases.Role Responsibilities:Evaluate outputs generated by Large Language Models (LLMs) across multiple modalities.Assess quality against project-specific criteria such as correctness, coherence, completeness, style, cultural appropriateness, and safety.Identify subtle errors, hallucinations, or biases in AI responses.Apply domain expertise and logical reasoning to resolve ambiguous or unclear outputs.Provide detailed written feedback, tagging, and scoring of outputs to ensure consistency across the evaluation team.Escalate unclear cases and contribute to refining evaluation guidelines.Collaborate with Project Managers and Quality Leads to meet accuracy, reliability, and turnaround benchmarks.Required Skills and Qualifications:To succeed in this role, you will need:Strong critical reading, observational, and evaluative skills across different modalities.Ability to articulate nuanced judgments with precision and clarity.Excellent English comprehension (CEFR B2 or above); additional languages a plus.Familiarity with LLMs, generative AI, and multimodal systems.Strong attention to detail and ability to apply guidelines consistently.Awareness of cultural and linguistic nuances, including potential bias and harm in AI outputs.Comfort with evolving workflows, rapid feedback cycles, and complex quality frameworks.Benefits:As a Multimodal AI Evaluation Specialist, you will have opportunities to shape the evaluation standards for next-generation multimodal AI systems.You will also benefit from:Innovative and supportive global working environment.Competitive compensation and flexible remote working arrangements.Continuous learning and growth in applied AI evaluation.Join us in shaping the future of AI evaluation.
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