AI Trainer - Armenian - Argentina
Evaluate AI-generated Armenian text for naturalness, authenticity, and cultural nuance. Perform side-by-side comparisons and provide feedback on tone, phrasing, and word choice.
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Evaluate AI-generated Armenian text for naturalness, authenticity, and cultural nuance. Perform side-by-side comparisons and provide feedback on tone, phrasing, and word choice.
The AI Engineer will build and deploy AI-powered applications using LLMs, prompt engineering, and RAG-based solutions. They will also develop lightweight machine learning models and integrate these AI solutions into business workflows and products.
The Service Delivery Manager will oversee contract fulfillment, invoicing, and cost control while monitoring SLA compliance for AI products. They will also orchestrate stakeholders across nearshore and offshore locations to ensure high-quality service delivery.
You will define and drive the product strategy for enterprise AI SaaS features while managing the development roadmap. This involves collaborating with cross-functional teams including engineers, designers, and researchers to translate customer challenges into high-value product initiatives.
You will own the measurement of the AI product portfolio by running recurring business reviews and maintaining metric definitions. Additionally, you will build reporting dashboards, analyze unit economics, and provide data-driven insights to inform the AI product roadmap.
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The AI Service Analyst will manage the day-to-day operations of the service desk, including ticket triage, problem management, and client reporting. They will also design and tune AI agents within the Zendesk platform to automate service responses.
Deliver engaging live sessions and workshops focused on AI-driven content production workflows for visual, video, and interactive media. Collaborate with the curriculum team to refine course materials, templates, and practical exercises based on industry developments.
The AI Engineer designs, builds, and operationalizes production-grade intelligent services that automate document understanding and power semantic search. They are responsible for the full lifecycle of AI systems, from architecting secure, compliant solutions to deploying and scaling them within business systems.
Design and develop reusable AI components, libraries, and tools to integrate AI capabilities across the organization's development ecosystem. Define reference architectures, technical standards, and best practices for Generative AI solutions within the AWS environment.
You will lead the go-to-market strategy and launch execution for the AI portfolio, acting as the primary commercial interface between R&D and sales teams. Additionally, you will drive campaign strategy and create technical content to effectively communicate product value to both practitioners and executives.
Design, develop, and deploy scalable machine learning and AI systems for real-world applications. Manage data pipelines, optimize custom models, and maintain MLOps workflows using cloud platforms.
The Lead AI Developer will provide technical leadership and bridge the gap between client requirements and technical delivery for AI-first products. Responsibilities include hands-on development, mentoring the engineering team, and translating business processes into scalable technical designs.
You will lead the human, cultural, and organizational aspects of AI transformation by designing and implementing effective change strategies. This involves collaborating with delivery teams to manage stakeholder engagement, training, and post-implementation transitions.
Provide technical leadership for AI engineering and SDLC automation to improve developer productivity and software delivery. Design and deliver engineering tools, agentic workflows, and copilots while establishing standards for responsible AI use.
The Senior AI Test Engineer will be responsible for designing and executing comprehensive test strategies for AI-driven systems. They will ensure the reliability, accuracy, and performance of AI models through rigorous testing protocols.
You will design, develop, and deploy AI-driven applications and workflows on the ServiceNow platform while integrating machine learning and NLP solutions. Additionally, you will manage the full application development lifecycle, including coding, testing, debugging, and documenting systems to meet business requirements.
You will create and maintain documentation, help center articles, and in-app guides while managing the knowledge base for the company's support chatbot. Additionally, you will collaborate with product and engineering teams to refine content workflows using agentic AI.
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You will design and orchestrate AI agents to automate knowledge-intensive workflows while developing data pipelines within a Databricks lakehouse environment. Additionally, you will shape the overall GenAI architecture and contribute to knowledge modeling to ground agent reasoning.
You will build and maintain agentic AI systems, including developing secure execution environments and software integrations. Additionally, you will deploy and optimize AI models to validate the platform's performance and reliability.
Develop and execute a professional development strategy for the AI technical operations team to ensure consistent service delivery. Oversee competence data to identify capability gaps and collaborate with leadership to implement training plans.
The role involves creating and scaling a modern, AI-forward Academy experience by producing high-quality digital learning content, including videos, tutorials, and certifications. You will partner with subject matter experts to translate complex technical concepts into engaging learning journeys while leveraging AI tools to optimize production efficiency.
You will work directly with pharmaceutical customers to design, prototype, and deploy AI-powered solutions that address complex technical and business workflows. This involves translating ambiguous requirements into clear technical architectures and collaborating across engineering and product teams to ensure successful production deployments.
You will design, develop, and deploy AI-driven applications and workflows on the ServiceNow platform while integrating machine learning and NLP solutions. Additionally, you will manage the full application development lifecycle, including coding, debugging, testing, and documenting systems to meet customer requirements.
The AI Architect will design and evolve the ZenseAI platform suite while leading evaluation-driven development for agentic and generative systems. They are responsible for driving presales, presenting value propositions to executive stakeholders, and mentoring emerging AI-specialist roles.
The role involves serving as a senior technical architect to guide public sector customers in implementing Salesforce Data 360 and Agentforce solutions. You will partner with sales and engineering teams to translate mission requirements into actionable, secure, and scalable AI and data architectures.
Architect and build domain models, APIs, and high-density visual interfaces for intent expression and agent supervision. Design interactions and feedback loops for human-agent systems while balancing automated guardrails and audit trails.
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The AI Red Teamer will stress-test large language models by designing adversarial prompts to identify vulnerabilities such as bias, hallucinations, and safety guardrail failures. They will also document experiments, score model responses against harm taxonomies, and collaborate with researchers to strengthen AI defenses.
You will own the QA strategy and test management for a SaaS product while personally utilizing AI tools to generate and execute test cases. You are responsible for triaging defects, maintaining test suites, and collaborating with engineering to ensure high-quality product releases.
You will lead the go-to-market strategy, positioning, and messaging for Sophos' AI security portfolio while driving cross-functional execution for product launches. Additionally, you will build enablement programs for the channel network and maintain competitive intelligence to shape market category definitions.
You will build production-grade AI systems and workflows tailored for pharmaceutical, medical, and patient-centric applications. This involves designing retrieval systems, developing evaluation frameworks, and collaborating with domain experts to translate complex scientific workflows into technical solutions.
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