Данные и ML вакансии - удалённо

Location: Peru Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote     - Rate: $55.00 USD per hour Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Mexico Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do  Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: United States Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. The recordings produced help build natural, everyday-sounding synthesized voices for conversational AI products — voices that sound like real people talking, not scripted performances.  As Session Director, you'll lead live recording sessions with Voice Contributors, guiding them through scripted scenarios to produce natural, conversational-quality audio. This hands-on role blends creative direction, coaching, and technical audio judgment — making scripted material sound authentic and unscripted, rather than recited, while keeping sessions moving at a natural pace.  What You'll Do      - Direct voice performers through scripted scenarios, coaching for natural, conversational delivery rather than verbatim recitation.      - Build quick scene context for performers (who, where, why) and improvise to fill narrative or dialogue gaps live, keeping sessions flowing naturally.      - Adapt scripted wording for natural phrasing and regional/dialect authenticity as needed.      - Monitor and correct technical audio quality in real time: mic technique, pacing, clarity, and background noise.      - Manage session pacing to meet recording targets without sacrificing performance quality, and maintain organized notes on adjustments and retakes.      - Create a supportive, low-pressure environment for performers, including those with limited prior voice experience.  What We're Looking For  Required      - Native fluency in the required language (with specific dialect), with a strong ear for natural, colloquial phrasing.      - Experience directing, coaching, or producing voice or audio talent (e.g., voice direction, casting direction, audio/podcast production, dubbing/ADR, or theater direction).      - Demonstrated ability to give clear, specific, actionable performance direction.      - Strong working knowledge of basic recording/mic technique (proximity, plosives, room noise, levels).      - Comfortable improvising and adjusting scripted material on the spot.      - Excellent interpersonal skills; able to build rapport quickly with performers of varying experience levels.  Preferred (nice to have, not required)      - Background in improv, theater direction, or acting coaching.      - Experience directing non-professional or first-time voice talent specifically.      - Familiarity with DAWs or recording software (e.g., Pro Tools, Adobe Audition, Reaper) for spot-checking audio quality. Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products. Please bring with you: — Ability to apply your machine learning knowledge to solve real product problems. — At least seven (7) years of experience as a software engineer, with at least 2 years at senior level. — Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture. — Strong alignment with commercial success. — Pragmatism and bias towards action. — Comfort with fast iteration. Why join us? — We’re living the golden age of AI. — Our culture is focused on building and empowering people to work fast. — Serving 50,000+ customers including 50% of the Fortune 500. — Proprietary AI technology built in-house by world-class AI researchers and engineers. — Commitment to AI safety, ethics, and security. The hiring process includes: — Tech Recruiter Interview (30-40min) covering technical background and experience. — Delivery and Impact Interview (60min) deep dive into past projects and impact. — Technical Rounds including Work Scenario Round (75-90min) and System Design Technical Discussion (60min). — Leadership Retrospective (60min) discussing collaboration, growth, and role expectations. — Final debrief leading to offer or end of process. Other important info: — Preference for role based in-office or remote in UK, Germany, Switzerland or Ireland, with possible support for remote workers elsewhere in Europe. — Salary starts at EUR/GBP/CHF 120,000 base plus RSUs. — Full-time employment only, no contractors. — 25 days of leave plus local holidays.

XUND is a medical technology company that builds AI-powered digital health assistants to digitize the patient journey from the first symptoms to treatment. Work format: Remote or on-site in Vienna, Budapest, Berlin.

Задачи: — Архитектура новой системы данных компании с нуля. — Преобразование больших и разнородных медицинских данных в унифицированный, высокопроизводительный граф знаний. — Работа с медицинскими экспертами, продуктовыми командами и дата-сайентистами для перевода сложной клинической логики в чистые, взаимосвязанные структуры и модели данных. — Поиск креативных решений с использованием различных типов баз данных и конвейеров данных для обеспечения согласованности и совместимости медицинских данных. — Разработка и интеграция частей клинического inference engine, основанного на правилах и статистических моделях. — Проектирование и расширение клинических моделей данных с использованием доменных онтологий (например, SNOMED-CT, FHIR, UMLS) для создания богатых, запросных графовых структур. — Перевод исследовательских результатов в масштабируемое, промышленное программное обеспечение в рамках agile-команды. — Тесное сотрудничество с медицинскими экспертами для фиксации клинических рабочих процессов и валидации отображений онтологий. — Формирование технического направления, дизайна схем и лучших инженерных практик в команде. Требования: — Магистр или кандидат наук в области компьютерных наук, математики или смежных областей. — Более 4 лет опыта работы с медицинскими данными или в области data engineering либо соответствующие академические исследования. — Глубокие знания графовых баз данных, языков запросов, алгоритмов поиска и/или систем вывода (например, Neo4j, Memgraph, Cypher, SQL, Datalog). — Обширный опыт разработки на Python и/или TypeScript, комфортное переключение между языками и фреймворками. — Наличие разрешения на работу в ЕС и проживание в ЕС. — Желательно: знакомство со статистикой, формальной логикой и/или машинным обучением. — Опыт работы с электронными медицинскими картами (EHR) и форматами обмена клиническими данными (например, FHIR). — Интерес к области представления знаний и рассуждений (Knowledge Representation and Reasoning). — Опыт самостоятельного управления облачными средами (например, GCP) и CI/CD конвейерами. Условия: — Работа в одной из ведущих европейских healthtech компаний с возможностью влиять на продукт. — Возможность работать удаленно или в офисах в Вене, Будапеште и Берлине. — Выделенный бюджет на обучение и профессиональное развитие. — Культура с плоской иерархией, открытым общением и уважением к мнению каждого. — Участие в виртуальных программах опционов на акции (VSOP). — Возможность приводить в офис своих домашних животных и общаться с офисными собаками. — Гибкие условия работы и поддержка разнообразия и инклюзивности.

Location: Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Kyiv City; Odesa Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Сейчас исследуем и внедряем LLM для решения бизнес-задач внутри компании, улучшения пользовательского опыта и автоматизации процессов.

Location: Malaysia; Kuwait; Oman; Amman, Jordan; Saudi Arabia Workplace: remote We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.   Project Details:  Start Date: ASAP  Duration: 1 session   Commitment: 1 hour.   Job Type: Freelance  Location: Malaysia/Oman/Kuwait/Jordan/Türkiye/UAE/Saudi Arabia/Qatar (Remote)  Language/Dialects:Yemeni Arabic Pay Rate: $4.00-$15.00 (Depending on country location) Eligibility 18 years of age or older. Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized. What you’ll do Record a single 15–20 second video in your native Arabic dialect . Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby. Look directly at the camera the whole time. After recording, answer a few short questions about yourself (e.g. age range, country, dialect) to help us organize the dataset. Recording specifications (must meet all to be accepted) Video quality: 1080p or higher Length: 15–20 seconds Framing: Head-and-shoulders, face centered and fully visible Lighting/background: Well-lit face (no harsh shadows), plain/neutral background Expression: Neutral/relaxed while speaking naturally Audio: Clear speech, no background noise, music, or echo Orientation: Portrait or landscape acceptable (hold steady, no shaky footage) Environment: Quiet indoor setting preferred Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame Your Privacy Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.

Location: Amman, Jordan; Kuwait; Oman; Dubai, UAE Workplace: remote We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.   Project Details:  Start Date: ASAP  Duration: 1 session   Commitment: 1 hour.   Job Type: Freelance  Location: Malaysia/Oman/Kuwait/Jordan/Türkiye/UAE/Saudi Arabia/Qatar (Remote)  Language/Dialects:Levantine Arabic Pay Rate: $4.00-$15.00 (Depending on country location) Eligibility 18 years of age or older. Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized. What you’ll do Record a single 15–20 second video in your native Arabic dialect . Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby. Look directly at the camera the whole time. After recording, answer a few short questions about yourself (e.g. age range, country, dialect) to help us organize the dataset. Recording specifications (must meet all to be accepted) Video quality: 1080p or higher Length: 15–20 seconds Framing: Head-and-shoulders, face centered and fully visible Lighting/background: Well-lit face (no harsh shadows), plain/neutral background Expression: Neutral/relaxed while speaking naturally Audio: Clear speech, no background noise, music, or echo Orientation: Portrait or landscape acceptable (hold steady, no shaky footage) Environment: Quiet indoor setting preferred Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame Your Privacy Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.

Location: Saudi Arabia; Oman; Kuwait; Dubai, UAE; Amman, Jordan Workplace: remote We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.   Project Details:  Start Date: ASAP  Duration: 1 session   Commitment: 1 hour.   Job Type: Freelance  Primary Location: Malaysia/Oman/Kuwait/Jordan/Türkiye/UAE/Saudi Arabia/Qatar (Remote)  Language/Dialects: Gulf Arabic Pay Rate: $4.00-$15.00 (Depending on country location) Eligibility 18 years of age or older. Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized. What you’ll do Record a single 15–20 second video in your native Arabic dialect . Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby. Look directly at the camera the whole time. After recording, answer a few short questions about yourself (e.g. age range, country, dialect) to help us organize the dataset. Recording specifications (must meet all to be accepted) Video quality: 1080p or higher Length: 15–20 seconds Framing: Head-and-shoulders, face centered and fully visible Lighting/background: Well-lit face (no harsh shadows), plain/neutral background Expression: Neutral/relaxed while speaking naturally Audio: Clear speech, no background noise, music, or echo Orientation: Portrait or landscape acceptable (hold steady, no shaky footage) Environment: Quiet indoor setting preferred Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame Your Privacy Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.

Требуется преподаватель русского языка для обучения нейросетей. Вакансия предполагает полный рабочий день с возможностью удалённой работы. Требуемые навыки включают копирайтинг, управление контентом, редактуру и корректуру, журналистику, контент-маркетинг. Грейд — middle.

Задачи: - Разработка и развитие микросервисов и data-процессов для online/streaming и batch обработки - Построение пайплайнов обработки, обогащения и репликации данных - Создание витрин, агрегатов и ML-фичей для антифрод-моделей - Работа с большими объёмами исторических данных и тяжёлыми расчётами - Оптимизация производительности и надёжности сервисов и пайплайнов Требования: - Коммерческий опыт разработки на Python - Опыт создания backend-сервисов и data-пайплайнов, понимание микросервисной архитектуры - Опыт работы с большими объёмами данных, понимание batch и streaming обработки - Опыт работы с реляционными и in-memory базами данных - Понимание принципов работы ML-пайплайнов - Будет плюсом: опыт в Anti-Fraud / Risk / Scoring, low-latency системах; Spark, Kafka, Tarantool или Ignite Условия: - Формат работы: удалённо - Пятница — сокращённый рабочий день