Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview Our client is a US-based AI research company working on advanced generative and multimodal AI systems. We are looking for a Video Content Annotator to review and evaluate videos using structured rating frameworks and detailed quality guidelines. In this role, you will assess both AI-generated and real-world media content for realism, composition, motion accuracy, lighting, and overall production quality. Your evaluations will directly contribute to improving next-generation AI models. This role requires strong visual judgment, high attention to detail, and the ability to work consistently across high-volume review tasks. What You’ll Do - Review first-person video clips and analyze visual content at specific timestamps - Provide accurate, concise, and evidence-based answers grounded in visible information - Identify and select the exact visual evidence supporting each answer - Determine whether a question is valid or unanswerable based on the available video content - Ensure no use of future frames or external assumptions when answering questions - Maintain high consistency and accuracy across large volumes of tasks - Adhere strictly to project guidelines, formatting, and quality standards - Perform self-review to ensure alignment between question, evidence, and answer Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks Location: Brazil, Colombia, Mexico, Peru, and India Selection process: 2x30min quizzes (Logical Reasoning and Memory Answering)

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview Our client is a US-based AI research company working on advanced generative and multimodal AI systems. We are looking for a Video Content Annotator to review and evaluate videos using structured rating frameworks and detailed quality guidelines. In this role, you will assess both AI-generated and real-world media content for realism, composition, motion accuracy, lighting, and overall production quality. Your evaluations will directly contribute to improving next-generation AI models. This role requires strong visual judgment, high attention to detail, and the ability to work consistently across high-volume review tasks. What You’ll Do - Review first-person video clips and analyze visual content at specific timestamps - Provide accurate, concise, and evidence-based answers grounded in visible information - Identify and select the exact visual evidence supporting each answer - Determine whether a question is valid or unanswerable based on the available video content - Ensure no use of future frames or external assumptions when answering questions - Maintain high consistency and accuracy across large volumes of tasks - Adhere strictly to project guidelines, formatting, and quality standards - Perform self-review to ensure alignment between question, evidence, and answer Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks Location: Brazil, Colombia, Mexico, Peru, and India Selection process: 2x30min quizzes (Logical Reasoning and Memory Answering)

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview Our client is a US-based AI research company working on advanced generative and multimodal AI systems. We are looking for a Video Content Annotator to review and evaluate videos using structured rating frameworks and detailed quality guidelines. In this role, you will assess both AI-generated and real-world media content for realism, composition, motion accuracy, lighting, and overall production quality. Your evaluations will directly contribute to improving next-generation AI models. This role requires strong visual judgment, high attention to detail, and the ability to work consistently across high-volume review tasks. What You’ll Do - Review first-person video clips and analyze visual content at specific timestamps - Provide accurate, concise, and evidence-based answers grounded in visible information - Identify and select the exact visual evidence supporting each answer - Determine whether a question is valid or unanswerable based on the available video content - Ensure no use of future frames or external assumptions when answering questions - Maintain high consistency and accuracy across large volumes of tasks - Adhere strictly to project guidelines, formatting, and quality standards - Perform self-review to ensure alignment between question, evidence, and answer Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks Location: Brazil, Colombia, Mexico, Peru, and India Selection process: 2x30min quizzes (Logical Reasoning and Memory Answering)

• Design and build production AI agent systems for clients across industries, from scoping through deployment and iteration. • Lead technical discovery workshops to identify high-value automation opportunities in client workflows. • Select and integrate the right agent frameworks, platforms, and models for each engagement (LangChain, LangGraph, CrewAI, Claude Managed Agents, custom orchestration, and others as the landscape evolves). • Design human-in-the-loop workflows, approval gates, and escalation paths so agent systems operate safely in client environments, especially in regulated or risk-sensitive industries. • Translate complex AI capabilities into clear, actionable recommendations for non-technical stakeholders. • Collaborate with LaunchPad Lab’s engineering and design teams to deliver end-to-end solutions. • Own LaunchPad Lab’s internal agent automation roadmap. Identify processes ripe for agent-driven improvement and build the solutions. • Evaluate new agent frameworks, platforms, and tooling. • Develop reusable agent architectures, prompt libraries, and patterns that accelerate delivery across the consultancy. • Contribute to the AI practice’s positioning, thought leadership, and go-to-market efforts with technical credibility. • Mentor other engineers on AI patterns, tools, and best practices as the practice grows.