Вакансии

▪️ Консультировать художников и супервайзеров по применению AI в их задачах. ▪️ Уметь делать генерации похожими на фото или реальные видео материалы.

- Сильный опыт в ML, Deep Learning, NLP и LLM. - Практический опыт создания AI-продуктов, работающих в production и в большом масштабе.

— отвечать клиентам в чатах. — консультировать по заказам.

Location: Екатеринбург В управление банковского сопровождения инвестиционных проектов требуется на постоянную ставку специалист по сопровождению платежей строительного характера. Обязательное требование - наличие законченного образования по направлению Промышленно-гражданское строительство (ПГС) Обязанности ### **Чем предстоит заниматься:** * проводить экспертизу платежей по инвестиционным строительным проектам на соответствие проектной документации, договорам и первичным документам * контролировать целевое использование средств и обеспечивать прозрачность финансовых потоков. Требования ### **Обязательные требования:** * высшее инженерно-строительное образование (УрФУ, УрГУПС и другие) * опыт работы не менее 3 лет в сфере промышленного и гражданского строительства * уверенный пользователь ПК * навык работы с ИИ-инструментами. Условия ### **Что мы предлагаем:** * удобный современный офис в центре города по адресу: Горького, 67 * пятидневную рабочую неделю с гибким графиком: 09:00-18:00/12:00-21:00 * официальное оформление с первого рабочего дня * регулярный пересмотр заработной платы, стабильный оклад, квартальную и годовую премию (от 120 000 р. и выше) * расширенный ДМС и льготное страхование для семьи * корпоративную пенсионную программу * бесплатное корпоративное обучение, онлайн курсы в Виртуальной школе Сбера, возможность получить новую квалификацию, корпоративный спортзал и скидки в спортзалы-партнеры * подписка Прайм с возможностью совместного использования на трёх близких * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * вознаграждение за рекомендацию друзей в команду Сбера

Задачи: — Производство, контроль качества, планирование и оптимизация поставок лентивируса для скрининга и клеточной инженерии. Требования: — Опыт работы с плазмидами, оптимизацией процессов, управлением запасами. — Навыки культивирования млекопитающих клеток. — Знание LIMS, ELN, Benchling. — Опыт криоконсервации, контроля качества, автоматизации. — Владение методами вирусного производства, титрования вирусов, работы с AAV. — Владение асептической техникой. Условия: — Работа в офисе в Пало-Альто, Калифорния. — Годовая зарплата от $84,250 до $114,250.

Adyen is looking for a Customer Support Technology Manager to lead support technology systems and teams. Technologies and methodologies involved include quality assurance, business analysis, agile, Salesforce, Service Cloud, SDLC, KPI, AI, workforce management, automation, integration, governance, security, messaging, and telephony.

Задачи: — проводить высокопроизводительное открытие антител; — выполнять молекулярно-биологические рабочие процессы; — валидировать открытия для диагностики неврологических заболеваний. Требования: — опыт работы с методами молекулярной биологии, включая клонирование, дисплей фагов и дисплей белков; — навыки верификации последовательностей и контроля качества; — опыт функциональной геномики и CRISPR; — умение анализировать данные и работать с секвенированием иммунного репертуара; — опыт скрининга и отслеживания образцов. Условия: — годовая зарплата $75,900.

Location: IND - Mumbai About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: As a Service Desk Analyst , you'll power the business by delivering fast, reliable IT support through phone, Microsoft Teams, email, and ServiceNow. You'll take ownership of troubleshooting and resolving hardware, software, account access, and mobile device issues, partnering with Desktop Support, global IT teams, and external vendors to drive solutions when escalation is needed. You'll support users primarily in English while assisting a diverse global workforce, maintain accurate ticket documentation, contribute to our knowledge base, and ensure issues are resolved within SLA commitments. Success in this role means combining technical expertise, a customer-first mindset, and a relentless focus on keeping our teams connected and productive. The Impact You'll Make: Serve as the first point of contact for Monster Energy employees across APAC, handling technical support requests by phone, Microsoft Teams, email and the ServiceNow self-service portal. Log, categorize, prioritize and track all incidents and service requests in ServiceNow, and monitor the queue so tickets are resolved and closed within SLA with clear troubleshooting and resolution notes. Diagnose and resolve hardware, software and connectivity issues remotely using remote support tools, and provide walk-up support at the India office in partnership with local Desktop Support. Support Microsoft 365 applications, including Outlook, Teams, OneDrive, SharePoint and the Office apps. Manage user accounts, group memberships and password resets in Active Directory and Microsoft Entra ID, including Multi-Factor Authentication (MFA) and self-service password reset support. Enroll, configure and troubleshoot Windows, macOS and iOS devices in Microsoft Intune, including app deployment, compliance policies and remote lock, wipe. Support remote onboarding and offboarding, including account provisioning, access requests, and coordinating equipment logistics with local offices and vendors, and keep asset and software license records in ServiceNow accurate. Identify and escalate major incidents under incident management procedures, route issues with complete information to the right resolver groups (Desktop Support, Infrastructure, Applications, Security), and work with APAC vendors such as wireless carriers and hardware providers to resolve issues. Create and maintain ServiceNow knowledge base articles in English and, where appropriate, Hindi; guide users to self-service solutions; provide basic end-user training; and tell APAC users about relevant system changes. Provide follow-the-sun coverage by giving clear shift handoffs to the Americas and EMEA Service Desk teams, work flexible schedules that include occasional after-hours or weekend support for critical issues, and follow IT, security and local data privacy policies. Who You Are: Prefer a Bachelor's Degree in the field of -- Information Systems, Computer Science, or a related field Flexible to work 6:30 AM to 3:30 PM IST, Monday through Friday, ensuring seamless support coverage across multiple time zones and maintaining service availability during designated support hours. Additional Experience Desired: Minimum 1 year of experience in an IT help desk role using a ticketing system Additional Experience Desired: Between 1-3 years of experience in supporting users in multiple countries Computer Skills Desired: Windows and Microsoft 365 in an enterprise environment. Active Directory and ITIL-based processes (incident, request, and problem management), ServiceNow ITSM Preferred Certifications: CompTIA A+, ITIL 4 Foundation, and/or Microsoft certifications (e.g., Microsoft 365 Certified: Endpoint Administrator Associate) preferred Additional Knowledge or Skills to be Successful in this role: Fluent in English and Hindi, both written and spoken Read our privacy policy here: Privacy Policy

Location: Bolivia, Plurinational State of; Colombia; Mexico; Argentina; Brazil; Venezuela, Bolivarian Republic of We are seeking a highly skilled Cabinet Vision Engineer to join a growing U.S.-based custom woodworking and cabinetry company on a full-time, long-term basis. This role is ideal for a detail-oriented professional with strong experience in Cabinet Vision, UCS codes, custom cabinetry, millwork, and technical shop drawings . You will support high-end residential and commercial projects, transforming architectural plans and design requirements into precise, fabrication-ready cabinetry packages. The company creates fully customized cabinetry and millwork for demanding projects where quality, accuracy, and speed are essential. You will work closely with the internal team, learn their established Cabinet Vision standards and custom attributes, and help improve the turnaround time for detailed drawing packages. Responsibilities Develop accurate cabinetry and millwork drawing packages using Cabinet Vision. Produce detailed floor plans, elevations, sections, renderings, and shop drawings for high-end residential and commercial projects. Review and interpret architectural plans, specifications, and project requirements. Work with Cabinet Vision UCS (User Created Standards) codes , custom attributes, and company-specific configurations. Adapt quickly to internal drawing standards, naming conventions, and established workflows. Create precise, fabrication-ready documentation that reflects custom materials, joinery, hardware, and installation requirements. Support commercial projects with fast turnaround requirements, including drawing packages targeted for delivery within one week of receiving architectural plans. Coordinate with the U.S.-based team to clarify technical details, incorporate revisions, and maintain a high standard of accuracy. Help identify opportunities to improve drafting efficiency while protecting quality and attention to detail. Requirements Advanced, hands-on experience with Cabinet Vision . Proven experience working with UCS codes , custom attributes, configurations, and standards within Cabinet Vision. Strong background in custom cabinetry, architectural millwork, casework, woodworking, or related fabrication environments. Demonstrated ability to produce detailed shop drawings, floor plans, elevations, sections, and manufacturing documentation. Experience with BricsCAD and AutoCAD . Experience supporting high-end residential cabinetry projects; commercial millwork or cabinetry experience is also highly valued. Strong understanding of cabinetry materials, joinery, hardware, construction details, and fabrication considerations. Excellent attention to detail, organization, and ability to work independently. Strong written and spoken English communication skills. Previous experience working remotely with U.S.-based clients or teams is strongly preferred. Ability to learn and follow company-specific systems, standards, and technical processes. Nice to Have Experience creating 3D cabinetry renderings or presentation-ready visuals. Experience improving Cabinet Vision workflows, UCS libraries, standards, or automation. Previous exposure to CNC programming, estimating, or project coordination within a cabinetry or millwork environment Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are looking for 3D Reconstruction Research Scientist to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting, feed-forward models, and generative models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world-class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. WHAT YOU’LL DO - Conduct original research in computer vision, machine learning, and spatial AI. - Design, implement, and evaluate novel algorithms for: - 3D reconstruction - Neural scene representations - 3D Gaussian Splatting - Geometric deep learning - Structure-from-Motion (SfM) - Meshing - Feed-forward models - Generative models - Spatial foundation models - Collaborate with research scientists and engineers to transition promising ideas into future products. - Develop large-scale experiments and benchmarking frameworks. - Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers. - Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. WHAT YOU’LL BRING - PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered. - A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas. - Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc. - Strong programming skills in Python and experience in PyTorch. - Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar. - Ability to independently drive research projects from idea generation through experimentation and publication. NICE TO HAVE - Experience with classical reconstruction tooling (COLMAP or similar). - C++ or CUDA experience, and a feel for performance and on-device constraints. - Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Global About the Company The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the eight years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 80 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About the Role KoBold explores across several continents and a widening set of commodities. This role is the geochemical capability that travels with those programs. Reporting to the Principal Geochemist, you will work as a functioning member of exploration teams in North America, Europe, and Africa; planning and running sampling campaigns, on the ground when it matters, and turning results around quickly enough to change what the team does next. The Principal Geochemist has responsibility for company-wide standards, independent data quality assurance, and global method and technology development. Your responsibility is in the practice, programs, field decisions, interpretation, and the day-to-day geochemical judgement that the exploration teams you work within depend on. You will work closely with data scientists and software engineers to develop new tools and drive an ever deepening analysis of results. You will work to company standards and audit against them in the field. You will be required to prioritize your time effectively across multiple projects, and multiply your reach by training field teams to sample well without you present. Responsibilities Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations Act as the embedded geochemist for exploration programs across North America, Europe, and Africa, joining project teams for the phases where geochemical decisions are being made and providing insight to existing hypotheses and the generation of new hypotheses fast enough to influence exploration decision making Design geochemical sampling programs fit for the terrain, regolith, and mineral system being tested, including orientation surveys and the choice of sampling medium, horizon, size fraction, spacing, analytical suite, and digestion, across glaciated terrain, deeply weathered tropical profiles, and arid or transported cover Own the geochemical component of drilling programs: sampling intervals and sample support, preparation protocols, quality control insertion, and real-time review of incoming assays against the geological model Apply and audit KoBold's geochemical standards and quality control procedures in the field, resolve routine control failures at program level, and escalate systemic or analytical problems to the Principal Geochemist, who retains independent data quality sign-off In close collaboration with the science team, interpret multi-element geochemical datasets across commodities and deposit types, including lithogeochemical classification, alteration and trace element vectoring, fertility screening, and appropriate treatment of compositional data Partner with geoscientists, data scientists and software engineers to improve existing tools, and develop new tools Assess legacy and third-party geochemical datasets during property evaluation and acquisition due diligence, judging quality, comparability, and fitness for purpose, and identifying where re-analysis or re-sampling is required before the data can carry weight Work alongside geologists, geophysicists, and data scientists to identify, rank, and prioritise targets, making geochemistry a primary input to targeting Coach and train field geologists and technicians in leading-practice sampling, and contribute to the standard operating procedures and field documentation that let sampling quality hold when no geochemist is on site Feed field experience back into method and technology development led by the Principal Geochemist, including practical trials of portable XRF, in-field sample preparation, and emerging analytical techniques Plan and manage a demanding international travel and deployment schedule, in coordination with the Principal Geochemist and project leadership Qualifications A great Senior Geochemist candidate will have: Strong technical knowledge of more than one ore deposit type and comfort moving between mineral systems. Experience across two or more of sediment-hosted stratiform copper, porphyry copper, IOCG, magmatic nickel-copper-PGE sulfide, or LCT pegmatite systems will be considered an advantage Demonstrated hands-on experience designing and executing surface geochemical programs, including orientation work, in more than one regolith or cover setting Experience running the geochemical side of drilling programs, from sampling protocol through quality control to interpretation of results as they arrive Practical command of quality control for sampling programs, including reference material and duplicate design, control charting, and precision and bias assessment, together with working knowledge of the Theory of Sampling Excellence in generative analysis, from new concepts through to the integration, interpretation, and modeling of large multi-element datasets Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS) and in at least one dedicated geochemical data analysis package (e.g., ioGAS) The ability to work effectively as a member of teams they do not manage, across cultures, time zones, and technical disciplines, and to earn influence through the quality of their judgement rather than through reporting lines Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration Willingness and ability to travel internationally for extended periods, and eligibility to work or obtain the necessary permissions across the regions covered by this role Demonstrated commitment to high standards of health and safety in the workplace A minimum of 8 years’ experience in the mineral exploration industry Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field. Ability to explain technical problems to and collaborate on solutions with domain experts who are not Geoscientists. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. A valid passport and willingness to travel to exploration sites around the world, especially during active field seasons. It is helpful but not required to have: Working knowledge of one programming or scripting language (e.g., Python, R) applied to geochemical data Knowledge of geostatistics, compositional data analysis, or other statistical methods relevant for analysis of geoscientific data Experience with portable XRF and in-field sample preparation as auditable, fit-for-purpose analytical capability Experience in environmental geochemistry, including baseline surveys and waste and tailings characterisation International experience, particularly in the Central African Copperbelt, or in the pegmatite provinces of central Africa and Namibia Professional registration or chartership (e.g., CGeol, FAusIMM, EurGeol, SACNASP) Working proficiency in French Note: Candidates whose background is in exploration geology with a strong geochemical specialisation, and who want to work as a geochemist across a global portfolio rather than a single project, are encouraged to apply. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt. The US base salary range for this full-time exempt position is $140,000-$185,000, plus equity and benefits including 401k matching. Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana. Please submit your application to: https://koboldmetals.com/careers/ What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: United States- Bellwood, Illinois Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: To Live and Lead Safety · Manages the Site Safety Program and ensures all policies are being followed by employees · Drives housekeeping standards, including 5S · Demonstrates leadership for employee safety and/wellness through Beyond Zero initiatives To Inspire and Provide Clarity on Vision and Strategy · Develops and displays a thorough understanding of site-level and company-wide strategic initiatives · Actively supports positive change, working with the site staff to ensure understanding and effective implementation of new processes and procedures · Communicates with the team to promote an understanding of the relationship between site actions and results and overall strategic objectives To Own Our ATS Culture · Drives day-to-day execution of team-related responsibilities/team priorities using the leadership competencies that support our ATS culture · Displays behaviors that align with being self-motivated and emotionally intelligent To Support Our Employees’ Learning and Growth · Manages employee performance and provides development opportunities · Mentors/coaches employees regarding career planning, training, skills development using ongoing one-on-one communication To Ensure and Drive our Business Results · Leads and ensures the Operating System is understood, reinforced, and embedded · Assists Site Manager in measuring and reporting key maintenance performance indicators including root cause analyses. Delivers on related action items, removes barriers, and addresses issues in order to promote continuous improvement · Communicates and escalates priorities, issues, and equipment status to the customer as needed, playing a key role in developing and sustaining a positive and profitable relationship with the customer · Assists Site Manager in managing expenses, such as labor, overtime, and material consumption. Approves any overtime worked by the team. · Reviews work orders and ensures adherence to work schedules. Identifies and rectifies any gaps. · Conducts and participates in team meetings as an influential leader. Knowledge, Skills, Abilities (KSAs), & Competencies: Essential KSAs: · Associate's degree or equivalent from a two-year college with a minimum of 3 years of experience in a related field or an equivalent combination of education and experience · Strong communication skills – verbal and written · Strong computer skills, including Microsoft applications, web-based applications, and CMMS software Desirable KSAs: · Foundational business acumen (understanding contracts and the customer’s business, negotiation, billing models, financial experience, relationship building) · Planner/scheduler experience ideal ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $84,631.21 — $112,841.62 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You are a hands-on construction leader within our Data Centers team, who has delivered large-scale, mission-critical data center or comparable infrastructure from start of construction through commissioning and turnover. You know what it takes to run a major building on a live campus: sequencing trades, protecting the schedule, and keeping safety and quality from becoming trade-offs. You lead teams from the front, hold contractors and partners to a high standard, and raise issues early and honestly. You are equally comfortable walking the building with a superintendent and presenting schedule, cost, and risk to senior leadership. You believe the digital economy depends on infrastructure delivered right, and delivered on time. What You'll Do: As Senior Manager, Data Center Construction at Galaxy's Helios campus in Afton, TX, you will be Galaxy's accountable leader for construction of a large-scale data center building on the campus. You will report to the VP, Campus Construction Manager and work alongside peer Senior Managers who each own a building or scope, with shared accountability for the safety, schedule, cost, and quality standards that keep the campus aligned. You will own your building from preconstruction handoff through commissioning and turnover to operations, and you will lead the on-site Galaxy team and contractor relationships that make it happen. Key Responsibilities: Own Data Center Facility Delivery: Serve as the single point of accountability for construction of a large-scale data center facility, from GMP handoff through energization, Level 1-5 commissioning, integrated systems testing (IST), and turnover to operations. Drive the facility to its safety, schedule, cost, and quality commitments. Manage Schedule and Progress: Own the building schedule and track progress against baseline. Identify critical-path threats early, and direct recovery and mitigation plans before they affect milestones. Provide clear schedule inputs to the campus master schedule. Manage Project Risk and Contingency: Maintain a quantified risk register covering schedule, cost, supply chain, labor, weather, and trade-interface risks. Control owner contingency drawdown, run structured risk reviews with the GC and trade partners, and drive mitigation before exposure becomes impact. Drive Safety Culture: Set and enforce Galaxy's safety standards at the building level. Partner with Galaxy EHS and contractor safety leadership to sustain a zero-incident environment, and hold the team accountable for leading indicators as well as outcomes. Oversee Contractors and Trade Partners: Manage the day-to-day and executive-level relationship with the general contractor and key trade partners. Ensure alignment on milestones, quality, safety, staffing, and commercial performance, and escalate issues early. Control Cost and Change: Oversee pay applications, change orders, forecasts, and budget tracking for your building under the GMP. Enforce disciplined change management and provide accurate cost reporting to campus and executive leadership. Lead Integrated Project Controls and Forecasting: Own the facility's integrated cost, schedule, and cash flow forecast on a monthly cycle. Validate GC-reported progress against independent percent-complete and earned value analysis, report cost-to-complete and forecast variances, and give development and finance leadership a reliable view of capital deployment and funding requirements. Administer the Commercial Framework: Administer the GMP agreement and related owner contracts, including notices, allowances, buyout and savings, delay and impact claims, backcharges, retainage, and lien waivers. Protect Galaxy's commercial position and resolve disputes at the lowest level possible, partnering with Legal as needed. Manage OFCI Integration: Work closely with Pre-Construction and the OFCI procurement and logistics teams to ensure UPS, generators, chillers, switchgear, and other owner-furnished equipment arrive, are set, and are installed without impacting the construction schedule. Drive Utility and Energization Readiness: Coordinate with the serving utility, interconnect and substation teams, and Galaxy's power development group to align permanent power availability, energization sequencing, and test windows with construction and commissioning milestones. Treat power delivery as a critical-path item and escalate early. Lead Commissioning and Turnover: Partner with the on-site commissioning manager, 3rd party Cx agent, and operations teams to ensure systematic testing, closeout, and clean turnover of the building to operations. Manage Customer Delivery Commitments: Serve as the construction lead for customer-facing delivery milestones, including ready-for-service dates. Ensure facility handoff meets contractual commitments and the customer's acceptance criteria. Ensure Quality: Enforce Galaxy's QA/QC standards on your building. Escalate and resolve systemic quality issues with contractors and design partners. Coordinate Across the Campus: Work with peer Senior Managers and the VP to resolve cross-building conflicts in resources, laydown, site logistics, access, utilities, and sequencing. Advance Lean and Prefabrication: Apply Galaxy's modularization, prefabrication, and lean delivery initiatives on your building, and capture lessons learned so each building is more repeatable than the last. Manage Regulatory and Inspection Requirements: Work with local authorities, inspectors, utilities, and consultants to ensure compliance with codes and permit requirements. Report to Leadership: Provide frequent, candid status updates to senior leadership and communicate building status, risks, and forecasts to internal stakeholders across Pre-Construction, Design Engineering, Operations, and Security. What We're Looking For: Bachelor's degree in Construction Management, Engineering, Architecture, or equivalent experience. 7+ years of experience delivering large-scale mission-critical projects, with at least 3 years in a senior role leading a project or building team through construction. Demonstrated success delivering a data center, or comparable mission-critical facility, from start of construction through commissioning and turnover. Working knowledge of construction delivery models (including GMP), risk management, and contractor oversight. Technical fluency across MEP, commissioning, civil, and structural systems. Experience integrating OFCI equipment and supporting commissioning. Strong command of cost control, change management, and schedule analysis. Familiarity with Procore, Primavera P6, Bluebeam, and SharePoint. Full-time, on-site presence at Helios (Afton, TX) What You Bring: A track record of leading and developing high-performing construction teams. Excellent communication skills and the ability to influence technical and executive stakeholders. Sound judgment under pressure and a bias toward early, honest escalation. A commitment to safety, quality, and executional excellence. A passion for building world-class infrastructure that supports the growth of the digital economy. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (11) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and weekly meal in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Требования: — желание учиться и развиваться в IT — ответственность и коммуникабельность — готовность работать с большим объемом задач Обязанности: — обработка запросов клиентов — помощь ресторанам с ПО iiko — оформление заявок через Service Desk Условия: — удаленная работа — официальное трудоустройство, соцпакет — график 2/2 с 8:00 до 20:00 по МСК

Location: Remote - United States 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: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English and Vietnamese The expected hourly salary range for this position is $15 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 .

Location: Remote - United States 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: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English and Turkish The expected hourly salary range for this position is $15-$20 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 .

Location: Remote - United States 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: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English and Russian The expected hourly salary range for this position is $15 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 .

Задачи: — Контроль качества опробования, пробоподготовки и аналитических работ в соответствии с регламентами QA/QC. — Организация и ведение программы контроля качества: стандартные образцы, дубликаты, холостые пробы, межлабораторные сличения. — Анализ результатов контрольных проб, оценка достоверности аналитических данных, подготовка выводов и рекомендаций. — Контроль качества буровых, горных, пробоподготовительных работ и работ аналитической лаборатории, в том числе выполняемых подрядными организациями. — Контроль качества геологической и фотодокументации. — Ведение, пополнение и проверка геологических баз данных, выявление и устранение ошибок в данных по пробам, координатам и результатам анализов. — Пополнение горно-графической документации (планы, разрезы, планограммы). — Составление еженедельной и ежемесячной отчётности по QA/QC, в том числе для внутренних и внешних аудитов. — Взаимодействие с аналитическими лабораториями: согласование технических заданий, контроль сроков и качества анализов. — Отбор штуфных, бороздовых и керновых проб, участие в площадных геохимических поисках и входном контроле опробования рудных складов. Требования: — Высшее профессиональное образование по специальности «Геология и разведка месторождений полезных ископаемых». — Опыт работы геологом, инженером-геологом или техником-геологом от 1 года. — Знание методик контроля качества геологических данных и регламентов QA/QC. — Знание требований классификации запасов ГКЗ, ОСТов, основ законодательства о недрах, требований охраны труда и промышленной безопасности. — Опыт работы с геологическими базами данных и их валидации. — Уверенное владение ПК и MS Office, обязательное знание AutoCAD; — желательно Micromine, Leapfrog, ArcGIS, Datamine. Условия: — Официальное трудоустройство; — Приобретение авиа/жд билетов к месту трудоустройства; — Выплата заработной платы своевременно, 2 раза в месяц на карту любого банка России. — Ежегодный оплачиваемый отпуск. — ДМС — Проживание в комфортном, обслуживаемом общежитии; — Спортзал, ТВ, Сауна, Бильярд, магазины, торговые центры, кинотеатр в шаговой доступности; — Материальная помощь в особых условиях; — Премии за выслугу лет (через два года работы в компании); — Стаж за работу в Районе крайнего севера; — Компенсация/приобретение билетов к месту работы и обратно.