Gramian Consulting

Artificial Intelligence

• Design and run short multi-turn conversations (typically 1–5 turns) intended to test AI personalization behavior
• Create prompts grounded in realistic personal scenarios to evaluate contextual understanding
• Review AI responses to determine whether personalization is correctly applied
• Check grounding quality to ensure the model does not invent unsupported claims about the user
• Evaluate integration quality — confirming personal signals are used naturally (not forced or robotic)
• Compare two responses side-by-side and determine which is more helpful, natural, and relevant
• Write clear, structured rationales explaining rankings and referencing specific conversation turns
• Verify debug information showing whether correct data sources were used
• Maintain strict workflow hygiene (including deleting evaluation conversations when required)

AI Evaluator, Polish

Medical Reviewer

• Lead senior-level clinical review of complex dermatology cases
• Provide structured clinical reasoning and guideline-aligned commentary
• Resolve clinical disagreements across reviewer groups
• Contribute to development of evaluation frameworks and methodologies
• Support AI model evaluation through expert advisory sessions
• Provide subspecialty input on complex or ambiguous cases
• Ensure high-quality, clinically defensible documentation
• Collaborate with peer reviewers and research stakeholders
• Maintain adherence to clinical and project protocols

Senior Clinical Reviewer – Dermatology AI

• Design realistic business and operational workflow scenarios for AI evaluation systems
• Create structured tasks involving analytics, reporting, operational reasoning, and process optimization
• Develop clear task specifications, expected outcomes, and validation logic
• Identify operational edge cases, bottlenecks, and workflow failure scenarios
• Evaluate AI-generated outputs for reasoning quality, usefulness, and accuracy
• Contribute expertise across business operations, analytics, automation, or operational systems
• Review and improve workflow complexity, clarity, and evaluation quality
• Collaborate with reviewers and researchers to refine AI benchmark scenarios
• Help create realistic multi-step business and operational problem-solving tasks

AI Evaluation Engineer – Business & Operations Domain

Full-stack Engineer

• Design realistic terminal-based benchmark tasks for AI evaluation systems
• Create technically deep debugging and investigation scenarios
• Develop task specifications involving infrastructure, workflows, pipelines, or operational failures
• Write clear solution approaches and deterministic evaluation criteria
• Identify realistic edge cases, failure modes, and system constraints
• Design multi-step reasoning challenges across complex technical environments
• Contribute expertise across one or more engineering or operational domains
• Review and refine benchmark quality, difficulty, and validation logic
• Collaborate with reviewers and researchers on AI evaluation workflows

AI Evaluation Engineer – Software Engineering Domain

• Review images and videos using predefined evaluation guidelines and scoring frameworks
• Assess realism, composition, lighting, motion, camera movement, and production quality
• Provide clear written justifications for evaluation decisions
• Maintain high consistency and accuracy across large annotation workloads
• Identify quality issues and inconsistencies in generated or real-world media
• Apply structured reasoning when following complex annotation instructions
• Incorporate feedback and guideline updates into ongoing annotation work
• Collaborate with remote teams working on AI training data and evaluation

Video Quality Evaluator – AI Training Data

• Create realistic prompts based on common small business situations and goals
• Interact with multiple AI chatbots and compare response quality
• Evaluate outputs based on **accuracy**, **clarity**, **usefulness**, and business relevance
• Review AI-generated visual and written business content
• Assess workflows involving spreadsheets, PDFs, images, and business documents
• Provide structured comparative feedback and scoring
• Submit completed evaluation reports and conversation transcripts
• Test AI handling of customer communication and operational scenarios
• Contribute business insights related to marketing, research, and financial planning
• Follow detailed evaluation guidelines and quality standards

Small Business Owner – AI Training Project

Content Marketing Manager

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AI Content Analyst, Spanish

Engineer

• Develop and refine CAD models for aerospace-related engineering projects
• Perform simulations and engineering analysis using industry-standard tools
• Translate engineering requirements into simulation workflows and technical models
• Validate and optimize designs based on simulation outcomes
• Work with aerospace and mechanical engineering datasets and specifications
• Collaborate with cross-functional engineering stakeholders
• Document methodologies, assumptions, processes, and results
• Support evaluation and improvement of engineering workflows and outputs
• Contribute to technically rigorous aerospace design initiatives

Senior CAD & Simulation Engineer, Aerospace

Small Business Owners, AI Training Project

• Create realistic prompts based on common small business situations and goals
• Interact with multiple AI chatbots and compare response quality
• Evaluate outputs based on accuracy, clarity, usefulness, and business relevance
• Review AI-generated visual and written business content
• Assess workflows involving spreadsheets, PDFs, images, and business documents
• Provide structured comparative feedback and scoring
• Submit completed evaluation reports and conversation transcripts
• Test AI handling of customer communication and operational scenarios
• Contribute business insights related to marketing, research, and financial planning
• Follow detailed evaluation guidelines and quality standards

AI Research Scientist

• Design advanced computer science problems focused on reasoning and conceptual understanding
• Create structured reference solutions with clear logic and technical explanations
• Evaluate AI-generated answers for correctness, reasoning quality, completeness, and clarity
• Identify edge cases, logical flaws, and weak reasoning patterns in model outputs
• Review complex topics across algorithms, systems, databases, networking, security, and theory
• Contribute to benchmark and evaluation quality improvements
• Provide detailed feedback to support AI model training and evaluation
• Collaborate with researchers and reviewers on problem refinement
• Maintain high-quality standards and consistent evaluation methodology

PhD Computer Science Expert – AI Research

Small Business Owner, AI Training Project

Backend Engineer

• Migrate and refactor existing Python logic into Golang services owned by various other teams.
• Rapidly learn and adapt to internal tools, systems, and processes to speed up migration.
• Collaborate closely with engineers across teams to ensure smooth delivery.
• Debug complex issues quickly and provide clear, actionable solutions.
• Maintain high-quality, well-tested code with thorough validation.
• Identify and implement improvements in our migration tooling.

Senior Backend Engineer – Golang Migration

• Conduct **multi-turn conversations** with AI models and compare response quality across variants
• Evaluate outputs for:
• - Accuracy and grounding
• - Personalization quality
• - Safety and responsible data usage
• Test predefined **health & wellness scenarios** (fitness, activity tracking, nutrition, habits)
• Identify issues such as:
• - Incorrect personalization
• - Hallucinations or reasoning gaps
• - Data misuse or privacy risks
• Provide **clear, structured feedback and evaluation notes**
• Maintain consistency and attention to detail across repeated evaluations

AI Data Trainer, Health & Wellness Personalization – Gemini

• Design and evolve the architecture of distributed backend systems
• Develop highly available and scalable microservices
• Build and maintain APIs and data models
• Work on real-time event-driven systems with high throughput requirements
• Implement unit, integration, and end-to-end testing
• Participate in code reviews and technical discussions
• Deploy and maintain services in AWS environments
• Monitor, troubleshoot, and optimize platform performance
• Contribute to architecture and technical documentation
• Collaborate with Frontend, Data, Infrastructure, Security, and Product teams

AI Evaluator, Polish

Senior Clinical Reviewer – Dermatology AI

AI Evaluation Engineer – Business & Operations Domain

AI Evaluation Engineer – Software Engineering Domain

Video Quality Evaluator – AI Training Data

Small Business Owner – AI Training Project

AI Content Analyst, Spanish

Senior CAD & Simulation Engineer, Aerospace

Small Business Owners, AI Training Project

Small Business Owner – AI Training Project

PhD Computer Science Expert – AI Research

Small Business Owner, AI Training Project

Senior Backend Engineer – Golang Migration

AI Data Trainer, Health & Wellness Personalization – Gemini

Senior Software Engineer – High Scale Distributed Systems