AI Video Editor / Motion Designer
Create and iterate on high-volume, short-form motion ads using AI tools to drive conversions and engagement. Collaborate with creative strategists and marketers to optimize ad performance based on data insights.
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Create and iterate on high-volume, short-form motion ads using AI tools to drive conversions and engagement. Collaborate with creative strategists and marketers to optimize ad performance based on data insights.
The Director will architect end-to-end multilingual AI and localization solutions by combining platform capabilities with human-in-the-loop services. They will partner with Sales to shape client opportunities and establish reusable frameworks for scalable, technically sound solution design.
You will design and implement innovative cloud and AI architectures based on Microsoft Azure and Microsoft 365 for clients. Additionally, you will actively support business development and pre-sales activities to expand the company's cloud and AI service offerings.
The AI Video Editor will leverage AI-powered tools to generate, edit, and optimize high-performing video content for marketing campaigns across various social media platforms. They will collaborate with the creative team to develop content strategies, manage asset libraries, and ensure all outputs align with brand identity.
You will lead the technical architecture and development of scalable backend services for AI-driven decision intelligence platforms. This includes designing robust API contracts, managing semantic data layers, and integrating LLM-based agent workflows into production systems.
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You will design and implement innovative ServiceNow and AI-powered solutions while acting as a trusted advisor for complex digital transformation projects. Your role involves developing intelligent AI agents and translating intricate business requirements into scalable technical architectures.
Fellows will contribute to internal tools, technical research, and AI workflow prototypes while supporting backend design and cloud architecture concepts. They will also assist in preparing technical briefs and documentation for client-readiness.
You will create, translate, and transcribe text in your native African language to train AI models. Additionally, you will rate AI responses and validate content for accuracy, tone, and cultural nuance.
The role involves creating high-quality AI-powered video content and managing social media presence across multiple platforms. You will also be responsible for developing content strategies, monitoring performance metrics, and collaborating with teams to drive brand growth.
Identify and prospect staffing and recruitment agencies to build a sales pipeline through outbound methods like cold calling and LinkedIn. Conduct product demonstrations and manage the sales process from initial outreach to closing new customer accounts.
You will lead the development of full-stack AI solutions, including AI agents and RAG systems, using Ruby on Rails and React. You will also design and execute experiments to validate AI features and optimize infrastructure for production-level LLM inference.
You will lead the internal enterprise AI and automation strategy, defining governance frameworks and adoption roadmaps to drive organizational productivity. You will partner with business unit leaders and engineering teams to prioritize high-impact initiatives and manage the end-to-end delivery of internal AI platforms.
The Senior Product Manager will own the end-to-end strategy, roadmap, and P&L performance for the professional development and AI product lines. They will lead AI-driven innovation, translate customer insights into scalable learning experiences, and collaborate across departments to drive business growth.
You will design and execute experiments to improve the reliability, context retention, and capability of AI agents. You will translate research findings into actionable recommendations and prototypes for the engineering team to implement.
You will architect and manage the AI infrastructure, including agent orchestration, retrieval pipelines, and security models for autonomous underwater vehicle data. This role involves building tools and abstractions to enable engineering teams to implement AI features independently while ensuring operational excellence.
Evaluate AI-generated Nepali text for naturalness, authenticity, and cultural accuracy. Provide feedback and data tagging to help improve the quality and nuance of AI language models.
You will perform side-by-side evaluations of AI-generated text to assess the naturalness, authenticity, and cultural nuance of the Nepali language. Responsibilities include identifying unnatural phrasing, rating tone, and providing feedback to improve AI model performance.
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Evaluate AI-generated Macedonian text for naturalness, authenticity, and cultural accuracy. Provide feedback and data tagging to help improve AI model performance and linguistic nuance.
Evaluate AI-generated text for naturalness, cultural nuance, and idiomatic accuracy in the Macedonian language. Perform side-by-side comparisons and provide data tagging to improve AI model performance.
Evaluate AI-generated text for naturalness, authenticity, and cultural nuance in the Macedonian language. Perform side-by-side comparisons and provide feedback to improve AI model performance.
You will perform side-by-side evaluations of AI-generated text to assess its naturalness, authenticity, and cultural nuance in Macedonian. This involves identifying unnatural phrasing, rating tone, and providing feedback to improve AI language models.
Evaluate AI-generated text for naturalness, authenticity, and cultural nuance in the Azerbaijani language. Perform side-by-side comparisons and provide feedback to improve AI model performance.
Evaluate AI-generated text for naturalness, authenticity, and cultural nuance in the Azerbaijani language. Perform side-by-side comparisons and provide data tagging feedback to improve AI model performance.
Evaluators will perform side-by-side assessments of AI-generated text to ensure naturalness, authenticity, and cultural accuracy in the Azerbaijani language. Responsibilities include identifying tone mismatches, providing data tagging, and ensuring word choices align with the intended cultural context.
Evaluators will perform side-by-side assessments of AI-generated text to ensure naturalness, cultural accuracy, and idiomatic quality in Azerbaijani. Responsibilities include tagging data and identifying unnatural phrasing or tone to improve AI language models.
You will perform side-by-side evaluations of AI-generated text to assess its naturalness, authenticity, and cultural accuracy in Azerbaijani. This involves identifying nuances in tone, register, and word choice to ensure high-quality human data for AI training.
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Evaluate AI-generated text for naturalness, authenticity, and cultural accuracy in the Azerbaijani language. Perform side-by-side comparisons and provide feedback to improve AI model performance.
Evaluators will perform side-by-side comparisons of AI-generated text to assess naturalness, authenticity, and cultural nuance. They will also provide data tagging and feedback to ensure AI models accurately reflect human language patterns.
You will perform side-by-side evaluations of AI-generated text to assess its naturalness, authenticity, and cultural accuracy. Additionally, you will provide data tagging and feedback to help improve the quality and nuance of AI language models.
Evaluate AI-generated text for naturalness, authenticity, and cultural nuance in the Kazakh language. Perform side-by-side comparisons and provide feedback on tone, phrasing, and word choice to improve AI model performance.
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