Fluent Kannada Speakers - AI Training - Davanagere
Evaluate AI-generated text and voice snippets to ensure natural and authentic Kannada speech. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
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Evaluate AI-generated text and voice snippets to ensure natural and authentic Kannada speech. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
The role involves qualifying high-quality institutional inbound enquiries from paid marketing channels and converting them into sales-ready opportunities. Key tasks include engaging with educational decision-makers and scheduling meetings for the Institutional Lead Sales Manager.
Manage daily technician schedules and routing using field service platforms to ensure timely job completion. Triage incoming service calls and communicate accurate ETAs to customers while monitoring technician status in real time.
Manage day-to-day office operations including call center performance, scheduling, and dispatch for home service businesses. Track project timelines, monitor job costing, and prepare operational reports for the owner.
Establish and lead the PR and Communications function across the APAC region, focusing on governments and enterprises in highly-regulated industries. This includes managing agencies, crafting regional messaging, and overseeing executive thought leadership and crisis communications.
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Develop and write creative dialogues for a Virtual Assistant based on cultural events and trending topics. Translate, adapt, and refine existing dialogues while ensuring consistency with global personality guidelines.
Design, configure, and implement SAP Warehouse Management and S/4HANA Core Logistics processes. Collaborate with stakeholders to deliver end-to-end solutions for inventory management and logistics execution.
Participate in an 8-week online bootcamp to become an accredited global consultant. Work on real-life consulting projects and tasks while attending live sessions with experts.
The Legal Counsel will draft and review commercial contracts and internal policies while ensuring compliance with international gambling and data protection laws. They will also manage intellectual property protection and provide legal support for day-to-day business operations.
Drive new business opportunities and manage the full sales cycle for FX SaaS solutions across banks and financial institutions. Build long-term relationships with senior stakeholders and collaborate with internal teams to ensure seamless customer implementation.
Build AI-native systems, agents, and automation workflows to optimize financial services and internal operations for a Neobank app. Design and deploy reliable AI solutions focusing on accuracy, latency, and security while collaborating with product and engineering teams.
Build and maintain core backend services, APIs, and workflows for an AI Neobank app covering insurance, payments, and savings. Design reliable systems for transactions, partner integrations, and reconciliation while ensuring security and performance for regulated financial products.
Build AI-native systems, assistants, and automated workflows to optimize financial services and internal operations. Design and productionize scalable integrations between LLMs, internal data, and business systems while ensuring reliability and safety.
Build and maintain core backend services and APIs for an AI Neobank app, covering payments, accounts, and KYC flows. Design reliable, scalable financial infrastructure while collaborating with cross-functional teams to launch features quickly.
Build end-to-end customer-facing and internal features for an AI Neobank app, including web flows, APIs, and dashboards. Collaborate with cross-functional teams to launch financial services products and improve production reliability through analytics and feedback.
Design and build scalable systems, tooling, and data processing pipelines to improve AI delivery and evaluation. Lead the end-to-end execution of data collection projects for frontier AI labs to improve advanced models.
Lead finance-domain AI programs by owning the delivery of training, evaluation, and data projects. Act as the primary finance expert to ensure AI outputs meet professional standards while bridging the gap between financial clients and technical AI/ML teams.
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Oversee the end-to-end product operations cycle to ensure the efficient delivery of features and customer-facing solutions. Collaborate with engineering and product teams to align operational processes with goals and optimize key performance metrics.
The role focuses on identifying and cultivating strategic partnerships with enterprise companies in the AI and machine learning sectors. The manager will develop growth strategies and negotiate complex deals to create long-term value for Surge.
The role involves owning end-to-end coding data projects to teach frontier AI models how to code. This includes designing agentic training workflows, evaluation rubrics, and technical environments that mirror real-world software engineering.
Lead customer-centric product development by identifying pain points and delivering impactful solutions. Establish scalable systems and processes to enhance customer support and value delivery in collaboration with engineering teams.
The role involves overseeing the end-to-end product operations cycle to ensure the efficient delivery of features and customer solutions. It requires collaborating with product and engineering teams to align operational processes with product goals and optimizing key performance metrics.
Design and architect end-to-end systems for collecting, structuring, and delivering human data to train frontier AI models. Collaborate with engineering and product teams to optimize data pipelines and ensure high-quality training signals for SFT and RL.
Lead initiatives to establish scalable systems and processes that enhance customer support and value delivery. Coordinate with engineering and operations teams to drive the execution of complex, cross-functional projects.
Lead initiatives to improve products and customer value by coordinating between engineering and operations teams. Establish scalable systems and repeatable processes to drive efficient cross-functional project delivery.
Oversee the end-to-end product operations cycle to ensure the efficient delivery of features and customer solutions. Collaborate with engineering and product teams to optimize operational processes and track key performance metrics.
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Manage key accounts as a trusted advisor to ensure customer success and the delivery of high-quality AI data projects. Lead cross-functional collaboration between engineering and operations teams to meet client SLAs and goals.
Lead end-to-end red-teaming workstreams against frontier models by scoping threat models and designing adversarial campaigns. Establish a recurring red-team cadence and produce executive reports to distill severity and user harm.
Own end-to-end coding data projects to train frontier AI models, designing agentic workflows and evaluation schemes. Collaborate with clients and internal teams to build technical environments and rubrics that reflect real-world software engineering.
Design and govern simulated environments and modular frameworks for RL agents to learn and be stress-tested. Establish quality standards for data, reward structures, and telemetry to ensure stable and scalable training signals.
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