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About us: Oki is the largest language-learning app in Central Asia with 800K+ users. It is a fast-growing Silicon Valley startup building a global language-learning product. Creators working directly with the team have generated 400M+ views and gained 400K+ followers on their personal accounts. About position: This role is for those who want to become influencers or build a serious career as creators. The candidate will become one of the recurring faces of Oki's corporate social accounts. The company will provide training and growth opportunities to build accounts to hundreds of thousands of followers within a few months and create videos capable of reaching millions of views. Access to formats, references, systems, and feedback used to grow creators before will be provided. What you'll get: — Paid hands-on creator experience — Training in viral short-form content — Proven hooks, references and formats — Constant feedback from the growth team — Real international accounts to grow — Strong portfolio and case studies — Startup experience on a global product — Potential path to full-time Who we're looking for: — 18+ — Speak at least 2 languages — Natural and confident on camera — Basic filming/editing skills in CapCut, TikTok or similar — iPhone 13 Pro Max, comparable Android flagship or similar-quality camera — Charismatic, energetic and reliable — Genuinely want to grow as a creator/influencer A big following or years of experience are NOT required. To apply, message TG: t.me/Alidar01 http://t.me/Alidar01 with: — Name, age & country/city — Languages + approximate level — Links to your socials, if you have them — Phone/camera model — A few words about yourself Best option: send a 30–60 second vertical intro video telling about yourself. No CV. No long cover letter.

Location: İstanbul Office Workplace: Remote OUR STORY Pointr is the market leader in Indoor Mapping, Location and Analytics, and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month. As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team. ROLE OVERVIEW We're looking for a Sr. R&D Engineer to join the Location team and improve the positioning engine behind Pointr's blue dot offering, used in airports, hospitals, and corporate campuses. The engine turns noisy real-world sensor data into a reliable location estimate, indoors and outdoors. It runs primarily on iOS and Android, with the shared C++ core also supporting WebAssembly and backend services. You will take algorithm improvements from research through implementation, validation on real venue data, and release. The work spans probabilistic estimation, sensor fusion, and applied geometry, including the native mobile scanning code that supplies the engine's measurements. You'll join a small, senior team with ownership over technical decisions and a short path from experiments to customer deployments. WHAT YOU'LL DO - Improve the accuracy, responsiveness, and robustness of Pointr's indoor-outdoor positioning algorithms across a wide range of venue types, devices, and real-world conditions. - Research, develop, and evaluate positioning algorithms, spanning classical estimation and machine learning approaches, and measure whether they improve results on real venue data. - Research and investigate emerging positioning technologies. Some work involves development kits, reference hardware, and measurement setups for capabilities not yet available on shipping phones. - Build and use offline replay, accuracy regression suites, and simulation tools to measure improvements. Validate on real iOS and Android devices, where sensor behavior and runtime constraints can differ from desktop results. - Develop production code in the shared C++ engine and the native iOS and Android sensor and radio scanning layers, with attention to performance, memory use, thread safety, and test coverage. - Turn field issues, such as suboptimal hardware deployments or unexpected sensor behavior, into reproducible test cases and engine improvements. - Use AI coding agents daily for research and development, and take responsibility for reviewing and validating their output. - Shape technical decisions through experiments and code review. Document the reasoning behind your work and contribute invention disclosures where warranted. WHAT SUCCESS LOOKS LIKE - First 90 days: independently run and interpret the accuracy measurement tools, and ship your first engine improvement with tests and on-device validation. - 6 months: own a significant area of the engine, deliver measurable positioning improvements, and diagnose field issues from customer venues. - 12 months: set technical direction and measurement standards for your area, with improvements deployed at customer scale. Help the team develop and validate algorithms more effectively through reviews and better tooling. WHAT WE SEEK - 6+ years of professional software engineering experience, including performance-sensitive production code. Depth in algorithms and estimation matters more than your current programming language; prior C++ experience is preferred, not required. - Strong grounding in probabilistic state estimation and sensor fusion, including recursive Bayesian filtering and particle-based methods, with the judgment to choose an approach suited to the problem. - Solid applied mathematics, including linear algebra, probability, numerical methods, and geometry. You can distinguish model limitations from data quality problems. - Experience working with noisy, real-world sensor time series: reproducing issues from recorded traces, isolating causes, and validating changes with measurable results and automated tests. - Daily use of AI coding agents and a basic understanding of how they work, including context windows, tool use, prompting, instruction files, and common failure modes. You can direct agents effectively and critically review their output. - Working knowledge of iOS or Android development, enough to build and debug on real devices and modify native platform code. - Comfort with native development tools, including build systems, Git, compilers, sanitizers, and profilers, and with cross-platform constraints. - Clear technical communication with engineers and non-engineers, and a collaborative approach to technical disagreements and code review. - Professional fluency in English, both written and spoken. PREFERRED QUALIFICATIONS - Experience in indoor positioning, GNSS, robotics, SLAM, pedestrian dead reckoning, or RF signal processing. - Hands-on experience with Claude Code or OpenAI Codex; other AI coding agents also qualify. Experience building agent tools or integrations is a plus. - Experience with modern C++, Swift, or Kotlin, or shipping a shared native core in iOS and Android apps. - Familiarity with mobile constraints that affect positioning, including background execution, sensor and radio scanning APIs, power budgets, and device differences. - Knowledge of ranging and positioning methods used with radio technologies such as BLE, UWB, or Wi-Fi. - Experience with computational geometry, geospatial data, or map processing. Wayfinding and graph algorithms are useful secondary skills. - Experience applying machine learning to motion or signal models, with evidence that it improves on classical estimation methods. - Experience building simulation or visualization tools for algorithm development. - An MS or PhD in a relevant field, research publications, or equivalent demonstrated depth in positioning, estimation, or spatial algorithms. WHAT WE OFFER - A supportive, kind (no-ego), and smart team - International environment and inclusive culture - Competitive base salary and stock options, based on experience and market - Private supplementary health insurance, in addition to statutory SGK coverage - Paid annual leave under Turkish Labor Law (14 days/year for years 1–5 of service, rising with tenure), plus 5 additional paid days in your first year as a Pointr benefit - Official public holidays as set by the Turkish government (approximately 15 days in 2026, including national holidays and the Ramadan and Sacrifice Feast holidays) - Paid sick leave with a doctor's report, per Turkish Labor Law - 24 weeks of paid maternity leave (state-paid) and up to 6 weeks of paid paternity leave, topped up by Pointr Bilişim above the statutory minimum - Mandatory SGK social security contributions Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us. HOW WE USE YOUR DATA Pointr Bilişim A.Ş. processes the personal data you submit as part of your application in accordance with Turkey's Personal Data Protection Law No. 6698 (KVKK), solely to assess your candidacy and manage recruitment. Our full candidate clarification notice (Aydınlatma Metni) is available upon request. #LI-REMOTE Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.   WE SUCCEED TOGETHER Great outcomes happen when talented, diverse people come together with a shared purpose. We value empathy, humility, and expertise, and we believe the best ideas come from collaboration, thoughtful challenges, and open feedback. We empower our teams with clear goals and ownership, creating an environment where everyone can contribute, grow, and succeed. We take responsibility for our individual and collective development, celebrate our progress, learn from our experiences, and recognize the impact we create together. We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do. We are committed to providing an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your recruiter or contact our team at hiring@pointr.tech hiring@pointr.tech. A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team. On our end, we utilize a platform called Granola as a notetaker and review tool to ensure a fair and transparent hiring process. Beware of scammers! All legitimate communication from Pointr regarding your application will come directly from an @pointr.tech http://pointr.tech email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.

Location: Madrid, Spain Play it. Break it. Perfect it. At Universally Speaking, you don’t just play games you make them flawless. We’re looking for linguistic perfectionists who live for precision and care deeply about great gaming experiences. You’ll dive into new worlds, spot every linguistic bug, and make sure every word, phrase, and line feels right. It’s hands-on, it’s fast-paced, and it’s all about ensuring players across the globe get the best possible version of the game. What you’ll be doing •You’ll work side by side with talented testers, translators, and developers, reporting issues clearly and working relentlessly to make sure they’re fixed. If you’re motivated by detail, passionate about games, and ready to be part of something that shapes how players experience them you’ll fit right in. •You’ll be the guardian of language in every game you touch making sure every word, menu, and in-game message feels natural, accurate, and culturally right. •You’ll test games like a pro, following our proven Universally Speaking LQA methods that define the industry standard for linguistic quality. Every detail counts, and you’ll make sure nothing slips through. •Your reports will make a difference: you’ll use professional bug databases to describe linguistic issues clearly, track progress, and verify that fixes hit the mark. •You’ll evolve from tester to trusted LQA expert across everything from indie gems to AAA blockbusters owning your projects and mastering the full testing cycle from start to finish. •You’ll write and refine test cases, document your findings, and set the bar for best practices in LQA. •You’ll collaborate with developers and fellow testers early in the process, helping shape how each game’s localisation is tested and improved. •And beyond that, you’ll constantly look for smarter, faster, better ways to do things taking initiative to optimize workflows, share knowledge, and raise the standard for everyone around you. Requirements What you’ll bring to the game •You’re someone who notices the smallest details others miss, and you can’t rest until everything’s perfect. You speak Czech like it’s second nature and handle English with confidence, both written and spoken. •Games are your thing you live them, breathe them, and you care how they sound, look, and feel. You thrive in a team that moves fast and works under pressure, never losing focus or quality along the way. •You’re proactive, determined, and naturally curious about how things work. You use that curiosity to make improvements and find better ways to deliver great results. •You’re nimble with tech: comfortable using databases, spreadsheets, testing tools, and the usual suspects in MS Office. Organisation and accuracy are your companions. •And of course you already have the right to work in Spain. This role needs you in the office, part of the action, not remote. Extra Points for •Experience in LQA, translation, or proofreading you’ve seen how words take shape across languages. •Familiarity with translation systems. •Previous use of test case management tools or text editing platforms. •An understanding of gaming trends and the culture behind them. •A degree in linguistics or a related field it’s great background, but not a deal-breaker. What's in it for you? •A chance to turn your passion for games into a full-time career getting hands-on with titles before anyone else does. •A dynamic, international team where creativity and precision go hand in hand. You’ll work with people who share your obsession with quality and detail. •Full-time stability with a Monday–Friday schedule, so your evenings and weekends stay yours. •An onsite environment that keeps the buzz alive collaborate face to face with talented testers and developers in our modern office at Alvento Business Park, Madrid. •Opportunities to grow your skills through real-world experience in LQA, translation technology, and project management. •A culture built around teamwork, learning, and the satisfaction of knowing you help shape how millions of players experience their favourite games. Benefits We don’t just make games better we make work better too. At Universally Speaking Madrid, you’ll enjoy benefits designed to support your growth, wellbeing, and career journey. •Free daily transportation to and from the office get to work with ease. •Career growth and learning opportunities to help you level up professionally. •Paid training with leading specialists in the games industry learn from the best. •A culture built on diversity, equity, and inclusion your voice always matters here. •A rewarding referral program bring great people in and get recognised for it. Ready to join the game? If reading this made you think, “That’s me” then we want to hear from you. Apply now and start shaping the worlds players will explore next. At Universally Speaking, we’re always scouting for language talent from every corner of the globe. So even if this role isn’t a perfect match, share it with your friends who live for games and language as much as you do because we’re always expanding our team of multilingual heroes. Your journey starts here. Let’s make games unforgettable, together. At Universally Speaking, diversity makes our worlds richer. We’re proud to be an equal opportunity employer welcoming every background, culture, and perspective. What matters to us is your skill, passion, and drive to make great games even better. So whoever you are, wherever you’re from, if you love language and games, you’ll find a place here to grow, create, and belong.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Ho Chi Minh City, Vietnam; Vietnam Top Reasons To Join Us Working for the Insurtech Market Leader. 100% Remote Working with cutting edge technologies (Kubernetes, Terraform, GraphQL etc.) and multiple Cloud providers (AWS/Azure/GCP). About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C. We’re the winner of the Insurtech of the Year in all of Asia and other awards globally. We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more. We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world. We are fully funded and backed by reputable VC funds and strategic institutional investors. We have a global presence in Asia, EMEA and the Americas. We’ve grown our annualized revenue by over 30x since January 2021. We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world. About the Role We are seeking a Senior Full Stack Engineer with a strong focus on Support & Observability to join our global engineering support team. This role is ideal for engineers who are passionate about solving complex technical problems, improving system reliability, and delivering exceptional customer experiences. You’ll be part of the frontline technical team —working directly with customers, troubleshooting and resolving platform issues, and collaborating with engineering teams to improve our systems, tools, and processes. While this is a support-heavy role, solid software engineering skills and strong observability knowledge are essential . About Support Team Our Support Team acts as the first line of technical assistance for our customers and internal stakeholders. We not only resolve technical issues but also focus on advocating for customers, enhancing support tools, improving documentation, and collaborating closely with engineering teams to elevate the overall experience. The team works closely with product and project engineering teams to deliver the best possible experience to our customers at scale , ensuring that solutions are not only reactive but also continuously improved for long-term impact. What You Will Do Triage and troubleshoot support issues, when required escalate to project or product engineering teams. Analyze system behavior using observability tools—logs, metrics, tracing—to diagnose root causes of incidents in distributed systems. Debug application code (primarily in .NET or NodeJS) and, when required, contribute fixes or code-level solutions. Take ownership of technical issues by directly investigating and resolving problems at the code level, including identifying root causes and implementing fixes when necessary. Work closely with our technical stack (AWS, Azure, GCP, Kubernetes, Dapr, Terraform, Temporal, Mongo Atlas, PostgreSQL) and our platform languages (.NET, NodeJS, Java). Configure enterprise monitoring solutions. Conduct thorough post-incident reviews to identify root causes and implement preventive measures. Automate support needs, develop runbooks, improve and maintain support tools. Participate in infrastructure capacity planning, demand forecasting, software performance analysis and systems tuning. Understand our product offerings and continuously look for ways to improve the engineering support experience and platform engineering tooling. Participate in R&D / explorations / automation with AI. Help define and drive adoption of KPIs such as CSAT, NPS, resolution time, and first contact resolution. Participate in strategic discussions around customer lifecycle, retention, and satisfaction. What We Need At least 6 years of experience in support or full stack engineering with a strong focus on delivery, observability, and cloud technologies. Strong hands-on experience in software development with modern technologies such as .NET, Node.js and React or Vue.js. Proven experience leading a squad/team , coordinating team members, driving delivery, and providing technical guidance and mentorship. Distributed Systems Troubleshooting: Proven track record of diagnosing and resolving complex issues in distributed systems. Observability and Monitoring Tools: Experience in utilizing observability platforms for metrics, logs, and tracing to pinpoint root causes in microservice architectures. Exceptional problem-solving skills and ability to take ownership of customer issues through to resolution. Strong communication and interpersonal skills to build rapport with customers and collaborate effectively with internal teams. Fluent in English. A customer-first mindset—empathetic, responsive, and solutions-driven. A humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. Being adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. You might thrive in this role if You prefer short projects where you can go deep and chase a problem down vs. building long-term solutions over many months. You enjoy seeing multiple use cases, understanding the broad landscape, all while going deep on specific issues. You have previous experience in the insurance or InsurTech space. You are proficient with customer support platforms (e.g., Jira, Zendesk). You have proven track record of leading and scaling customer service operations in a fast-paced environment. Why You'll Love Working Here International Environment Competitive remuneration package Fully Remote Annual Leave Annual Performance Bonus Stock Options after 6 months Health Insurance Remote Work Allowance Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Kazakhstan; Azerbaijan; Armenia; Uzbekistan We are seeking a dynamic and experienced  Group Reservation Manager to join our growing team. The Group reservation manager will be responsible for oversees and manage all aspects of group reservations to ensure a seamless booking experience for B2B partners. This role requires a deep understanding of travel logistics,experience in group tourism,  strong organizational, communication, and customer service skills, along with the ability work with large amounts of information at the same time. Requirements What You’ll Do Booking Management: Process group reservations promptly and accurately. Searching and booking of  group accommodation options, additional services, according to the request. Client Interaction: Communicate with clients to understand their travel needs and preferences. Travel Coordination: Receiving and processing requests for booking hotels, other accommodation facilities, transport services, excursions around the world for groups; Vendor Management: Negotiate and manage relationships with hotels, and other service providers to secure favorable rates and terms. Itinerary Creation:  Create customized travel itineraries that align with clients' interests and budgets. Problem Resolution: Address and resolve any group booking issues or client complaints promptly. Partner support in all cases arising from the completed booking (cancellation, changes, relocation, etc.) Documentation Oversight Technology Integration Reporting and Analysis Emergency Response Planning What We’re Looking For Bachelor's degree in Business Administration, Hospitality Management, or a related field. Proven experience in group travel management, concierge agency, TMC, DMC or tour operator companies. Knowledge of the bases of hotels in Russian Federation and popular destinations. Strong negotiation and vendor management skills. Excellent knowledge of travel-related regulations and compliance. Proficient in travel management software and tools. Exceptional organizational and multitasking abilities. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Language Skills: knowledge of English on at least Upper-Intermediate level (both spoken and written). Ability to work under heavy load. Responsible, stress-resistant, attentive person. Benefits What We Offer Remote Work: Flexibility to work from anywhere. Competitive Compensation: Attractive base plus bonus structure. Corporate Exposure: Collaborate with leading global companies and manage travel for top executives. Professional Growth: Advance your career handling challenging, high-profile cases. Continuous Learning: Ongoing training, seminars, and opportunities to attend top industry events. Travel Perks: Take advantage of corporate rates and unique travel discounts worldwide. The Process Intro Chat: Welcoming conversation with our HR team. Remote Set-Up Check: Quick internet speed test to ensure remote readiness. Manager Interview: In-depth discussion about your experience and the role specifics. Decision & Offer! Learn more about our data protection practices in our Privacy Policy . If this sounds like the perfect fit for you, we’d love to hear from you! Apply now and let’s create amazing travel experiences together!

Задачи: — Проведение интервью с заказчиками (внутренними и внешними), выявление, формализация и приоритизация функциональных и нефункциональных требований. — Описание текущих (AS-IS) и целевых (TO-BE) бизнес-процессов. Визуализация логики через BPMN 2.0, UML-диаграммы (Use Case, Sequence) и Customer Journey Map. — Разработка спецификаций API (REST/JSON, WebSocket), проектирование интеграционных взаимодействий между сервисами, написание Swagger (OpenAPI) документации. — Написание SQL-запросов средней сложности для анализа источников и проверки гипотез. — Декомпозиция требований на задачи для бэкэнда, фронтенда и тестирования; участие в оценке сроков реализации вместе с командой разработки. Требования: — Опыт работы системным или фуллстек-аналитиком от 3 лет; — Уверенное владение нотациями моделирования: BPMN 2.0 обязательна, понимание UML (диаграммы последовательности/состояний); — Практический опыт проектирования REST API: умение описывать методы, параметры, коды ответов, контракты JSON. Знание стандартов OpenAPI/Swagger; — Владение SQL на уровне JOIN (GROUP BY, HAVING`), вложенных запросов и оконных функций; — Инструментальное владение AI для анализа, генерации и автоматизации; — Понимание архитектуры клиент-серверных приложений и микросервисов. Будет плюсом: — Понимание протоколов очередей сообщений (Kafka, RabbitMQ); — Опыт прототипирования интерфейсов (Figma, Miro). Условия: — Гибридный формат работы (современный офис в Москве на метро Проспект мира); — Льготные ипотечные условия кредитования; — Подписка Прайм с возможностью совместного использования на трёх близких; — Скидки на продукты компаний – партнеров: Okko, Сбер Маркет, Мега Маркет, Самокат, Еаптека и другие; — ДМС с первого дня и скидки на страхование для близких; — Корпоративная пенсионная программа; — Детский отдых и подарки за счет Компании; — Обучение за счет Компании, Онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификаци.

Задачи: — Сбор и формализация функциональных требований от бизнес-пользователей: интервью, воркшопы, изучение первичных документов и данных систем; фиксация требований в виде пользовательских историй (user story) или функциональных описаний. — Описание бизнес-процессов AS-IS и TO-BE в нотациях BPMN, UML или аналогах; разработка схем процессов, регламентов работы пользователей и сценариев использования (use-case). — Декомпозиция крупных инициатив на задачи для разработчиков: подготовка функциональных требований (ФТ) и технических заданий (ТЗ) с достаточным уровнем детализации для однозначной реализации. — Формирование критериев приёмки (definition of done) и тест-сценариев для проверки реализованного функционала; участие в приёмочном тестировании доработок совместно с бизнес-пользователями. — Постановка задач в системе трекинга (1С:ИТИЛИУМ): ведение нарядов на изменения, контроль статусов и приоритетов; сопровождение задач в процессе разработки — ответы на уточняющие вопросы, оперативная корректировка требований. — Анализ инцидентов и проблем в 1С-системах: поиск первопричин совместно с разработчиками; формулировка задач на исправление ошибок с описанием шагов воспроизведения и ожидаемого результата. — Участие во внедрении изменений: подготовка пользовательских инструкций, обучение ключевых пользователей, сопровождение запуска; сбор обратной связи после выхода функционала в продуктив. Требования: — Образование высшее (ИТ, экономика, математика, управление или смежные специальности). — Опыт работы от 2 лет в роли бизнес-аналитика 1С, системного аналитика или методиста 1С. — Практический опыт сбора и формализации требований к 1С-системам (ФТ, ТЗ, use-case). — Навыки описания бизнес-процессов. — Опыт работы с нетиповыми конфигурациями 1С на уровне уверенного пользователя (понимание объектов метаданных: справочники, документы, регистры). — Опыт взаимодействия с командой разработки в роли аналитика или методиста 1С. Условия: — Работа в крупной стабильной компании с 26-летней историей. — Офис в БЦ "Авилон Плаза" (м. Текстильщики, 15 минут пешком, комфортный современный офис, столовая на территории, оборудованная кухня в офисе). — Оформление по ТК РФ с первого рабочего дня, оплачиваемый отпуск, больничный лист. — "Белая" заработная плата, выплаты стабильно 2 раза в месяц. — График работы гибридный: в офисе со вторника по четверг; удаленно: понедельник и пятница. — Скидки на продукцию компании.

Задачи: — Участие в реализации проекта по разработке мобильного финтех-приложения для международного рынка — Сбор, анализ и формализация бизнес- и системных требований — Подготовка и детализация технических заданий для разработки — Участие в проектировании API-контрактов (REST/gRPC) — Проектирование интеграций с внешними системами (API, брокеры сообщений и т.д.) — Подготовка диаграмм и схем взаимодействия сервисов (BPMN, UML, C4) — Участие в планированиях, дейли и груммингах с бэкенд- и мобильной командой — Поддержка и актуализация документации (Confluence, Swagger/OpenAPI) — Согласование решений с архитекторами и старшими аналитиками — Участие в тестировании и приёмке реализованных функций (совместно с QA) — Ведение аналитических артефактов в рамках выделенных задач — Инициация улучшений в процессах анализа и интеграций Требования: — Опыт работы системным аналитиком от 7-ми лет — Понимание архитектуры распределённых систем и микросервисов — Опыт описания и анализа бизнес-процессов (Use Case, BPMN, UML) — Опыт работы с API (REST/gRPC), понимание принципов интеграций — Навыки работы с системами документации: Confluence, Swagger/OpenAPI — Базовый опыт работы с Camunda или другими BPM-системами — Понимание жизненного цикла разработки ПО (SDLC) — Умение структурировать и декомпозировать требования — Способность аргументированно доносить решения до команды и стейкхолдеров — Опыт подготовки схем экранов (ЭФ) для мобильных приложений — Опыт работы с брокерами сообщений (kafka, rabbit) Будет плюсом: — Опыт в финтех-проектах и/или разработке мобильных приложений — Опыт участия в проектах с повышенными требованиями к безопасности и отказоустойчивости — Опыт написания и валидации JSON/YAML схем Условия: — Работа в команде для создания нового мобильного приложения — Full-time, remote — Локация: любая — ЗП ~ 1500 руб/час, оформление через ИП

Location: Flushing,NY 📍 Location: Flushing, NY 🕒 Schedule: Sunday to Friday, 3:00 PM to 7:00 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 in-home case in Flushing, NY. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma required ✅ A few years of RBT experience required ✅ ABA therapy experience required ✅ Experience working with learners who show challenging behaviors ✅ Able to remain calm and consistent in difficult situations What we offer 💰 Competitive pay 📩 Apply today to be considered.

Location: Jamaica, New York 11412 📍 Location: Jamaica, NY 🕒 Schedule: Monday through Friday, 4:00 PM–6:30 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA paraprofessional (RBT) for a 1:1 in-home case in Jamaica, NY. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female technician required ✅ High school diploma required ✅ ABA experience required ✅ Experience working with children ✅ RBT certification preferred What we offer 💰 Competitive pay 🕒 Weekday afternoon hours, Monday through Friday 📩 Apply today to be considered.

Location: Brentwood, NY 11717 📍 Location: Brentwood, NY 🕒 Schedule: Tuesday, Wednesday, and Friday, 4:00 PM to 8:00 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 in-home case in Brentwood. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for 🗣️ Spanish-speaking RBT required ✅ Female technician required ✅ RBT experience is required ✅ Experience supporting learners with challenging behaviors ✅ Ability to maintain a safe, patient, and supportive environment What we offer 💰 $25–$30 per hour, based on experience 📩 Apply today to be considered.

Location: Crown Heights, New York 📍 Location: Crown Heights, NY (Brooklyn) 🏫 Setting: 1:1 in-school ABA support About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 in-school case in Crown Heights. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma ✅ RBT certification ✅ Previous RBT or ABA paraprofessional experience ✅ Caring, patient, dependable, and reliable ✅ Female technician required What we offer 💰 Competitive pay 📩 Apply today to be considered.

Heliax is a remote-first company that researches, develops, deploys, and maintains open-source protocols and mechanisms to serve everyday needs, including Anoma and Namada projects. Applicants must be based in Europe (including the UK) and willing to travel to Berlin for initial onboarding. Responsibilities: — Design new cryptographic protocols (e.g. shielded state sync) to meet specified information flow, security, and performance goals. — Evaluate and analyze existing cryptographic protocols and proof systems (e.g. zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM) for security, expressivity, and performance. — Update, reimplement, and combine cryptographic protocols, customizing them for proofs-of-concept and production use-cases. — Produce comprehensive technical specifications for cryptographic designs and collaborate with engineers on implementations. — Implement, review, and test cryptographic operations and protocols, primarily in Rust, and evaluate implementations for correctness and performance. Requirements: — Mathematical and/or cryptographic background in relevant subfields (complexity theory, abstract algebra, cryptographic protocol design). — Expertise (formal or informal) in constructive protocol design and analysis of distributed cryptographic protocols. Nice to have: — Published papers in mathematics, theoretical CS, and/or cryptography. — Experience with distributed systems and/or operating systems architecture/design. — Experience with Zerocash/Zexe/VeriZexe and related architectures. — Academic qualifications in a relevant field (cryptography or mathematics). Stack includes Rust, zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM, Arkworks, elliptic curves, hash functions, DKG, threshold encryption. Benefits: — Relocation and visa assistance for Germany. — High degree of independence in working conditions and task prioritization. — Work closely with a small cross-disciplinary team on research-led projects. — Opportunity for travel, including initial onboarding in Berlin.

Обязанности: — Тестирование мобильного приложения iOS / Android, веб-кабинета и админки. — Проведение manual testing, написание и поддержка автотестов UI / API. — Сопровождение релизов: проверка задач, smoke и regression testing, проверка hotfixes и production issues. — Тестирование REST API через Postman: payloads, status codes, headers, authentication, webhooks. — Анализ логов и ошибок в GCP Cloud Logging, Sentry, Crashlytics и воспроизведение/локализация проблем. — Анализ требований, acceptance criteria и макетов Figma, выявление пробелов и неоднозначностей до начала разработки или тестирования. — Подсвечивание рисков и проблемных сценариев. — Создание bug reports в Jira и ведение задач до закрытия. — Взаимодействие с системным аналитиком, PM, разработчиками и дизайнером. — Подготовка test plans, checklists, test cases и test scenarios. — Создание скринкастов багов и протестированных сценариев. — Развитие QA-подходов в команде. Требования: — 3+ года опыта в Fintech / Payments, включая интеграции, платёжных провайдеров или денежные переводы. — Уверенный manual testing web и mobile-приложений. — Практический опыт тестирования REST API и интеграций. — Уверенный опыт работы с Postman, понимание HTTP / HTTPS, методов, status codes, headers, JSON, idempotency и webhooks. — Умение читать логи в GCP Cloud Logging / Sentry / Crashlytics или аналогах. — Знание SQL / NoSQL на уровне написания и понимания запросов. — Опыт с UI / API autotests: Playwright, Cypress, Appium, Newman или аналогами. — Понимание CI/CD pipeline. — Понимание Scrum, UX и пользовательских сценариев. — Английский B1+. Будет преимуществом: — Опыт с PayPal, Stripe или локальными платёжными провайдерами. — Знание AML / KYC, 3DS, chargebacks. — Опыт тестирования мобильных билдов через TestFlight / Firebase App Distribution. — Опыт solo QA или выстраивания QA-процессов с нуля. Условия: — Оформление: Service Agreement.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As part of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Engineer will own the validation, standardization, and deployment of physical security technology across Anthropic’s rapidly expanding global office portfolio. This role bridges the gap between technology selection and production-ready operation — ensuring that every security platform deployed is rigorously tested, properly integrated with enterprise infrastructure, fully documented, and built for scale. You’ll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You’ll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic’s infrastructure before going live. Your work will directly determine whether Anthropic’s security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint. Responsibilities: Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production Support colleagues’ security applications through InfoSec review processes, ensuring new tools meet Anthropic’s information security and compliance requirements Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion Initiate onboarding of deployed hardware and systems into Anthropic’s health monitoring platform to ensure operational visibility from day one Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently You may be a good fit if you: Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices Are comfortable with 25% travel for site deployments, commissioning, and validation Strong candidates may have: Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments Experience with Anthropic’s specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai , Ambient.ai , SureView, Envoy Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation Experience with health monitoring and observability platforms Knowledge of SOC 2 compliance, GDPR, and physical security compliance frameworks Experience with change management, configuration control, and version-controlled infrastructure documentation Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: In Office - San Jose, California Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We're building a dedicated reviewer team to evaluate complex, real-world agentic AI workflows, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. This isn't routine content moderation: reviewers work through ambiguous, multi-step scenarios where judgment calls matter as much as checklists. You'll operate inside isolated test environments, apply structured rubrics, and help calibrate what "safe and policy adherent agent behavior" actually looks like. What You’ll Own: Review multi-step agent task trajectories against rubric-based criteria covering task success, safety, and policy adherence Evaluate whether an agent respected user agency and informed consent — not just whether it followed literal instructions Apply privacy guardrails when reviewing tasks involving sensitive or personal data Work inside isolated test environments, including verifying environment resets between test runs to prevent cross-contamination Flag and escalate safety-relevant or ambiguous findings through defined escalation paths You’ll Thrive in This Role If You Have: Bachelor's degree or equivalent practical experience 2–5+ years in quality review, QA/QC, trust & safety, content moderation, data annotation, or a similarly judgment-intensive review role Strong written communication – you can justify a scoring decision clearly enough for someone else to audit it Comfort with ambiguity and structured decision-making under a rubric, rather than needing a fixed rulebook for every case Baseline understanding of AI/ML concepts and how AI agents complete tasks (can be learned through onboarding, but some familiarity helps) The expected hourly salary range for this position is $50-$55p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: In Office - San Jose, California Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are standing up a dedicated onsite team to evaluate complex, real-world agentic AI workflows for a frontier AI customer. Reviewers work through ambiguous, multi-step scenarios inside isolated test environments, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. The Quality Lead is the person accountable for whether that output is any good. This is a senior individual contributor role. You will not manage the reviewers — that sits with the Engagement Manager — but you set the standard they are held to. You own the audit sample, run calibration, keep the rubric usable as real cases stress it, and train reviewers into the work. You are also the deputy: when the Engagement Manager is out, the engagement runs on you. The quality approach here is not fully defined. We expect you to build it in partnership with the customer's quality leads, or at minimum to take what they have, run it honestly, and come back with specific recommendations for where it falls short. What You’ll Own: Own the quality system for the engagement: audit design, sampling strategy, scoring standards, and how quality gets measured and reported Build that system with the customer's quality leads where none exists, and where one does, operate it and recommend concrete improvements based on what the data shows Re-score a sample of reviewer output as a second pass; identify error patterns rather than isolated mistakes Run calibration sessions: surface disagreement, work it to resolution, and document the reasoning so the outcome holds for future cases Maintain rubric health — flag criteria that are ambiguous, overlapping, or silent on cases the team keeps hitting, and drive revisions through the customer Train and onboard new reviewers, including nesting plans, ramp criteria, and the judgment call on when someone is production-ready Give the Engagement Manager the evidence behind performance conversations: who is drifting, on what, and whether coaching is working Report quality trends to the Engagement Manager and, alongside them, to the customer Deputize for the Engagement Manager on delivery operations during absences Maintain information security, privacy, and facility access practices required by the customer's onsite environment You’ll Thrive in This Role If You Have: Bachelor's degree or equivalent practical experience 4+ years in quality assurance, quality management, or senior review work within annotation, evaluation, trust and safety, or a similarly judgment-intensive domain Direct experience owning a quality function: you designed the audit, not just executed someone else’s Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review Hands-on familiarity with agentic systems: tool use, multi-step task execution, sandboxed environments, and common failure modes Demonstrated ability to run calibration with peers — including holding a position under disagreement and changing it when the argument is better Strong written communication; able to document a scoring standard clearly enough that a reviewer can apply it and an auditor can check it Comfortable in spreadsheets and in a dashboarding tool, with enough Python or SQL to pull and slice your own data (you will not be asked to build interfaces) Experience training or onboarding reviewers into rubric-based work The expected hourly salary range for this position is $75-85 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .