Multimodal AI Performance Evaluator

Há 2 dias


Brasil beBeeMultimodal Tempo inteiro

Job Title: Multimodal AI Evaluation Specialist We are seeking a highly skilled Multimodal AI Evaluation Specialist to join our team. As a key member of our evaluation team, you will be responsible for assessing the performance of cutting-edge AI systems across various modalities. This is an exceptional opportunity to apply your critical thinking skills and attention to detail in a fast-paced environment. You will have the chance to work with top-notch teams and contribute to the development of next-generation AI systems. To succeed in this role, you should possess excellent critical reading and evaluation skills, as well as strong English comprehension (CEFR B2 or above). Familiarity with LLMs, generative AI, and multimodal systems is also essential. Evaluate and score AI-generated outputs (text, image captions, video descriptions, multimodal prompts) Assess quality, correctness, coherence, style, and cultural alignment Identify subtle issues like hallucinations, logical gaps, or bias Provide detailed written feedback and apply complex evaluation guidelines consistently Collaborate with Quality Leads and Project Managers to ensure reliability and accuracy What We're Looking For: Excellent critical reading and evaluation skills across multiple modalities Strong English comprehension (CEFR B2 or above) Familiarity with LLMs, generative AI, and multimodal systems Exceptional attention to detail and consistency Prior experience in data annotation, AI evaluation, or related work (preferred) Why Join Us: Help shape how cutting-edge AI systems understand the world Work remotely on projects at the forefront of multimodal AI Gain hands-on experience in applied AI evaluation Collaborate with a global, expert community of AI trainers Next Steps: Qualified applicants will be invited to participate in a paid pilot project (includes 2 hours paid training). Successful participants may be invited to continue with ongoing project work (typically 15–40 hours/week), depending on performance and project needs.



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