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About Turing: About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.Role Overview:As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.Key Qualifications Japanese Proficiency: Ability to read and write in Japanese with a high degree of comp, as Japanese is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required.  We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.Description: In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve: Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.Education & Experience BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.Offer Details: Commitments Required: at least 4 hours per day and up to 20 hours per week with 4 hours of overlap with PST. Engagement type: Contractor Engagement Length: 3 months Our offered rate for this project is $15 per hour.Evaluation Process - Shortlisted candidates will be sent a Job Interest Form. After the profile review, an assessment will be shared, which must be completed within 24 hours. Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‑onboarding requirements.

About Turing: Principal GenAI Engineer – Knowledge Graph & Semantic SystemsLocation: Onsite – New York CityEmployment Type: Full TimeExperience Level: Senior About TuringBased in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s “One of America’s Best Startup Employers” and recognition from The Information and Fast Company as one of the most innovative companies globally.About the RoleTuring is hiring a Principal GenAI Engineer with strong expertise in LLMs and Knowledge Graphs to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on building Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.What We’re Looking For10+ years of experience in ML/AI systems2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)5+ years of production experience working with Knowledge GraphsStrong proficiency in Python, LangChain/LangGraph, and SQLExperience deploying GenAI systems on AWS / Azure / GCPMandatory Knowledge Graph ExpertiseDesign and scale enterprise Knowledge Graph architecturesDevelop ontologies, taxonomies, and semantic data modelsImplement entity resolution, relationship extraction, and graph enrichmentExperience with Neo4j, Amazon Neptune, or similar graph databasesStrong hands-on experience with Cypher (or similar graph query languages)Build hybrid retrieval systems combining Knowledge Graphs + vector databasesIntegrate structured graph reasoning with LLMs to reduce hallucination and improve explainabilityVetting flow:1 Hour technical Discussion (Turing internal)30 minutes technical Delivery connect (Turing internal)30 minutes Delivery connect (Turing internal)Possible 1 Hour in person Customer round of interview at NYC, NY (Not confirmed)

About Micro1: Join our customer's team as an experienced Backend Developer. In this high-impact, remote role, you'll design, implement, and continually improve robust backend APIs while collaborating with cutting-edge AI research. You'll help test and shape the next generation of developer tools alongside a high-caliber engineering group. Key Responsibilities:Design, develop, and optimize REST and GraphQL endpoints for scalable APIs.Drive data validation, error handling, and security best practices within backend services.Plan and execute database migrations, optimizations, and schema changes as needed.Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots.Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows.Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements.Submit detailed post-burst surveys, delivering insights on model performance and developer experience.

About Micro1: Join our customer’s dynamic team as a Java Game Developer (libGDX), where you’ll bring engaging 2D and 3D cross-platform games to life. You'll leverage Java and the open-source libGDX framework to design, develop, and deploy high-performance games across desktop, Android, and web platforms, contributing to every stage of the game development lifecycle.Key ResponsibilitiesDesign, develop, and maintain immersive 2D and 3D games using Java and libGDX for multiple platforms.Collaborate closely with artists, designers, and other developers to define, prototype, and deliver new gameplay experiences.Optimize game performance to ensure smooth, high-quality user experiences across desktop, Android, and web environments.Build and maintain reusable, modular code architectures to accelerate future development and promote code sharing.Implement innovative gameplay mechanics, user interfaces, and interactive features that engage and delight players.Debug, troubleshoot, and resolve technical issues throughout the development process.Communicate clearly and proactively with team members, providing thoughtful feedback and documentation.

About Micro1: Join our customer's team as a Cross-Platform Engine Developer specializing in Cocos2d-x! In this role, you'll be instrumental in building and optimizing high-performance 2D and lightweight 3D games across mobile, desktop, and console platforms. Bring your engine expertise and passion for games to deliver immersive and scalable experiences for a global audience. Key Responsibilities:Design, develop, and maintain game engine features using Cocos2d-x in C++.Optimize memory usage, rendering performance, and platform-specific integrations for multiple devices.Ensure scalable and maintainable game architectures suitable for global game releases.Collaborate closely with designers, artists, and QA teams to implement and refine features.Diagnose, troubleshoot, and resolve complex engine-related issues across platforms.Stay updated on the latest advancements in game engine technology and suggest improvements.Communicate technical concepts clearly and effectively, both in writing and verbally, within a distributed team environment.