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Location: Colombia Job Summary The Labeling Operations Manager (LOM), Associate provides operational support for the initial creation and relevant updates to labeling documents, including Core Data Sheets (CDS), United States Package Inserts (USPI), Summary of Product Characteristics (SPC) for products registered in the EU via Centralized, Mutual Recognition or Decentralized Procedures, and their associated Patient Labeling Documents. The LOM, Associate will be knowledgeable of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format, and will raise awareness of important factors to consider when revising the label. The LOM, Associate provides project management to the Labeling Team throughout the labeling review and approval process through notification to stakeholders, ensuring that documents are produced in a timely manner according to internal SOPs and external regulatory requirements. This includes setting clear targets, ensuring Labeling Teams are aware of review and approval timelines, and following up with team members so deliverables remain on target for internal and external deadlines. Job Responsibilities Support the review and delivery of labeling documents and their associated Patient Labeling Documents. The LOM, Associate supports non-complex products and projects. Labeling Operations Manager - Associate 1 Provides operational support for project tasks, including: Prepare comparison tables for labeling team discussions. Generate necessary renditions, such as clean and marked PDF and clean and marked Microsoft Word, and bookmark renditions as appropriate. Facilitate document management workflows through the appropriate document management system. Finalize documents after QC. Notify internal stakeholders of the availability of labeling documents. Ensure compliance with Company submission standards, policies and procedures. Ensure all actions follow applicable SOPs and associated documents so that high-quality delivery and compliance are maintained. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Provides operational support for simple projects, including: Consolidate comments from Labeling reviewers and Regulatory Authorities. Edit and format labeling documents and ensure compliance with the appropriate template, such as QRD or PLR. Update and maintain the CDS log. Set clear targets for review and approval timelines using effective project management. Follow up with Labeling Team members to ensure deadlines are met. Ensure appropriate tracking of labeling projects through defined procedures and optimal use of systems. Provide shadowing opportunities to Trainee LOMs. Qualifications / Skills Qualifications and skills necessary for performance of responsibilities, including education, relevant experience, licenses, certifications, and technical and managerial skills. Qualifications Education Bachelor's degree required, preferably in a science or life sciences-related field. 0-2 years of practical experience. Labeling Operations Manager - Associate 1 Experience and Attributes Excellent written and verbal communication skills. Complete fluency in English. Proven strength in logical, analytical and writing ability. Interpersonal and Communication Skills Clear and effective written and verbal communication skills. Technical Skills High attention to detail. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Experience and Attributes Identifies and resolves problems proactively. Project Management Capability and Organizational Skills Demonstrated project management skills and attention to detail. Ability to assess and manage project timelines. Ability to multitask, prioritize and manage multiple projects. Ability to identify and resolve problems proactively. Appropriate decision-making, including issue escalation to the Global Labeling Lead (GLL) and other appropriate stakeholders. Interpersonal and Communication Skills Ability to liaise with stakeholders using effective means of communication. Technical Skills Ability to apply labeling regulatory guidance on formatting requirements. Ability to consolidate comments from multiple sources, such as emails and meeting minutes. Knowledge of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Ability to prepare submission-ready documents. Organizational Relationships Provide the primary groups or key roles with which this role interacts regularly, including external interactions as appropriate. The Labeling Operations Manager, Associate reports to the Labeling Operations Manager, Team Lead.

Location: Mexico Job Summary The Labeling Operations Manager (LOM), Associate provides operational support for the initial creation and relevant updates to labeling documents, including Core Data Sheets (CDS), United States Package Inserts (USPI), Summary of Product Characteristics (SPC) for products registered in the EU via Centralized, Mutual Recognition or Decentralized Procedures, and their associated Patient Labeling Documents. The LOM, Associate will be knowledgeable of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format, and will raise awareness of important factors to consider when revising the label. The LOM, Associate provides project management to the Labeling Team throughout the labeling review and approval process through notification to stakeholders, ensuring that documents are produced in a timely manner according to internal SOPs and external regulatory requirements. This includes setting clear targets, ensuring Labeling Teams are aware of review and approval timelines, and following up with team members so deliverables remain on target for internal and external deadlines. Job Responsibilities Support the review and delivery of labeling documents and their associated Patient Labeling Documents. The LOM, Associate supports non-complex products and projects. Labeling Operations Manager - Associate 1 Provides operational support for project tasks, including: Prepare comparison tables for labeling team discussions. Generate necessary renditions, such as clean and marked PDF and clean and marked Microsoft Word, and bookmark renditions as appropriate. Facilitate document management workflows through the appropriate document management system. Finalize documents after QC. Notify internal stakeholders of the availability of labeling documents. Ensure compliance with Company submission standards, policies and procedures. Ensure all actions follow applicable SOPs and associated documents so that high-quality delivery and compliance are maintained. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Provides operational support for simple projects, including: Consolidate comments from Labeling reviewers and Regulatory Authorities. Edit and format labeling documents and ensure compliance with the appropriate template, such as QRD or PLR. Update and maintain the CDS log. Set clear targets for review and approval timelines using effective project management. Follow up with Labeling Team members to ensure deadlines are met. Ensure appropriate tracking of labeling projects through defined procedures and optimal use of systems. Provide shadowing opportunities to Trainee LOMs. Qualifications / Skills Qualifications and skills necessary for performance of responsibilities, including education, relevant experience, licenses, certifications, and technical and managerial skills. Qualifications Education Bachelor's degree required, preferably in a science or life sciences-related field. 0-2 years of practical experience. Labeling Operations Manager - Associate 1 Experience and Attributes Excellent written and verbal communication skills. Complete fluency in English. Proven strength in logical, analytical and writing ability. Interpersonal and Communication Skills Clear and effective written and verbal communication skills. Technical Skills High attention to detail. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Experience and Attributes Identifies and resolves problems proactively. Project Management Capability and Organizational Skills Demonstrated project management skills and attention to detail. Ability to assess and manage project timelines. Ability to multitask, prioritize and manage multiple projects. Ability to identify and resolve problems proactively. Appropriate decision-making, including issue escalation to the Global Labeling Lead (GLL) and other appropriate stakeholders. Interpersonal and Communication Skills Ability to liaise with stakeholders using effective means of communication. Technical Skills Ability to apply labeling regulatory guidance on formatting requirements. Ability to consolidate comments from multiple sources, such as emails and meeting minutes. Knowledge of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Ability to prepare submission-ready documents. Organizational Relationships Provide the primary groups or key roles with which this role interacts regularly, including external interactions as appropriate. The Labeling Operations Manager, Associate reports to the Labeling Operations Manager, Team Lead.

Location: Brisbane, Australia About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 13,000 clients in over 150 countries. If you have a favourite team in the NBA, EPL, or NFL, there’s a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 400 people in over 35 countries, with five offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offers unparalleled insight into human movement, performance, injury risk and rehabilitation. About the role We are seeking a Financial Controller to take full ownership of VALD's day to day finance function across all group entities. You will join a strong, capable finance team already in place, and your role is to manage, mentor and empower them to take the function to the next level. You will oversee the monthly close, consolidation, audit, tax compliance, treasury and transactional finance. This is a hands on leadership role in a fast growing, multi-entity, multi-currency SAAS business. You will coach the team, build their technical and commercial capability, and create the structure, processes and controls that let them scale with the business. You will also own the control environment and act as the first point of contact for finance matters across the business. Success means a confident, high performing team delivering accurate, on time numbers that the executive team trusts, with minimal escalation. The ideal candidate is a technically strong CA/CPA with an audit background and several years in an industry controller or senior finance role, ideally in technology or subscription businesses. You will have a genuine track record of developing people and raising a team's performance. Experience with NetSuite, mergers and acquisitions, international tax and multi-jurisdiction groups is highly regarded. You will be a team player with a can do attitude, comfortable moving between hands on tasks, detailed review and big picture process design. What will you do? Finance operations and month-end close • Own the monthly, quarterly and annual close across all group entities, delivering to an agreed close calendar. • Oversee multi-entity consolidation, intercompany reconciliations and eliminations, and foreign currency translation. • Ensure balance sheet reconciliations are completed, reviewed and supported each month. • Own revenue accounting for bundled hardware and subscription contracts (AASB 15 / ASC 606), including deferred revenue and billing integrity. • Deliver monthly management reporting packs. Transactional finance and treasury • Oversee accounts payable, expense management and payroll across jurisdictions. • Manage daily cash, bank relationships, cash flow forecasting and FX exposure. • Maintain banking facilities, covenant monitoring and lender reporting. Financial reporting, audit and compliance • Review statutory financial statements under AASBs and US GAAP. • Ensure statutory and local entity filings are lodged on time. • Review technical accounting positions, including business combinations, share-based payments. Tax • Oversee tax compliance across all jurisdictions: income tax, GST/VAT/sales tax, payroll taxes and R&D tax incentive claims. • Coordinate external tax advisors and maintain transfer pricing documentation and intercompany agreements. • Monitor sales tax nexus and indirect tax obligations as the business expands into new markets. Controls, systems and process improvement • Design, document and maintain a scalable internal control framework, including delegations of authority. • Act as finance system owner for NetSuite and connected tools, driving automation and ERP enhancements. • Integrate acquired businesses into VALD's finance processes, systems and reporting. • Continuously improve close efficiency, data quality and reporting turnaround. Team leadership and business partnering • Lead, coach and develop the finance team, setting clear priorities and standards. • Act as the day to day finance contact for the business, resolving queries without escalation. • Provide actuals, data and analysis to support budgeting, forecasting and strategic projects led by the Head of Finance. Skills, Experience and Competencies Technical skills and knowledge • Strong working knowledge of AASBs; US GAAP experience highly regarded. • Proven ownership of month end close and consolidation for a multi-entity, multi-currency group. • Solid understanding of revenue recognition for subscription arrangements. • Working knowledge of Australian and international tax compliance, including indirect taxes and R&D incentives. • Experience designing and operating internal controls in a growing business. To qualify for the role, there are some basic minimum requirements: • CA/CPA qualified (or equivalent). • 8+ years' experience, including at least 2 years in commercial roles. • Audit background (Big 4 or mid-tier) highly regarded. • Technology, SAAS or hardware enabled subscription experience an advantage. • Hands on NetSuite experience strongly preferred; system administration or implementation experience a bonus. • Exposure to acquisitions and post acquisition integration desirable. Competencies and attributes • Takes genuine ownership: reliable, organised and delivers without being chased. • Leads and develops people, with high standards and a supportive style. • Continuous improvement mindset with a bias towards automation and scalable processes. • Commercial mindset; explains accounting matters in clear, practical terms. • High attention to detail balanced with the judgement to prioritise what matters. • Proactive, adaptable and energised by a fast-paced, changing environment; no task too big or small. • Comfortable working across time zones. Why VALD? You will be working in a fast-paced, dynamic company that has a culture around the belief that anything is possible with hard work, creativity, dedication, and good timing. VALD's best asset is not our technology but our people and culture. We have a range of benefits we offer to our team. Some of our perks and benefits include: Competitive market salary in a down-to-earth, inclusive and vibrant work environment. Learning from a range of high-performing individuals and teams across a range of disciplines and geographies doing interesting and varied work. Flexible working environment, with a casual dress code – no more corporate attire, T–shirts are the norm. You can also say goodbye to billable hours and timesheets. Table tennis, basketball court, end-of-trip facilities with bike and scooter racks if that’s your thing. Chefs that prepare you delicious fresh breakfast and lunch every day! On-site barista to make your coffee just as you like it. Team gym, remedial massage therapy, subsidised access to physiotherapy and exercise physiology services. Diversity & Inclusion Commitment While the successful candidate should be an Australian Citizen or Permanent Resident, we are committed to growing and empowering an inclusive VALD team. That's why we actively encourage applications from candidates from all backgrounds, experiences, and perspectives. If you require accessibility assistance at any stage of the process, please let us know.

Location: Remote - European Region Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration. Responsibilities: Help identify the right data sources and storage for different reporting needs Extract, clean and analyze large datasets from databases, internal systems and spreadsheets. Cross-check and reconcile data across sources to guarantee high accuracy in every report. Build, maintain and improve Tableau dashboards for different teams and management. Prepare regular and ad hoc reports with clear visualizations and conclusions. Monitor and analyze company performance metrics. Propose practical solutions to business challenges based on data. Requirements: Bachelor’s degree in Data Analytics, Statistics, Economics, Computer Science or a related field. 2–4 years of experience as a Data Analyst, Reporting Analyst, BI Analyst or similar. Strong hands-on Tableau experience: building dashboards from scratch, calculated fields, LOD expressions, filters and parameters, connecting data sources. Advanced Excel/Google Sheets skills (pivot tables, lookups, complex formulas). Experience working with large datasets and validating data quality. Understanding of core business and financial metrics such as revenue, costs, margins and growth. Proactive attitude and ability to suggest improvements independently. Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: California Workplace: onsite Overview We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is hands-on, execution-focused work. You’ll be supporting a robotics data collection pilot using I2RT YAM bimanual robotic arms. Each station is staffed by two people, and you’ll carry out assigned teleoperation and human-robot interaction tasks to help capture reliable, consistent data.  Project Details Location: Palo Alto, CA — 100% onsite Type: Full-time, short-term W-2 employee Schedule: Full-time; 8 hours/day, 5 days/week. Must be able to stand for extended periods during shifts  Duration: Minimum 2-week engagement; potential extension through year-end and beyond (extension not guaranteed)  Start: ASAP Compensation: US$35/hour Work authorization: Must be authorized to work onsite in the U.S. Key responsibilities Operate physical AI data devices, including teleoperating bimanual robotic arms (I2RT YAM) to execute scripted tasks precisely, following SOPs. Perform human robot interaction tasks per script, including gestures and object handovers. Follow detailed instructions and documented SOPs, adapt to evolving guidelines, and complete hands-on training, applying it consistently. Coordinate closely with your station partner to maintain timing, consistency, and safety. Capture and validate data. Record trial status, notes, and anomalies as directed; promptly flag issues and assist with resets/retries. Adhere to onsite safety, privacy, and data handling protocols; provide constructive feedback to improve procedures. Support fast iteration cycles as tasks, tools, and priorities evolve. Qualifications Bachelor’s degree or equivalent work experience Experience with gaming, simulation tools, or technical systems is a plus Strong hand-eye coordination and spatial awareness Detail oriented, reliable, and consistent in repetitive, process-driven work. Clear communication and teamwork; receptive to coaching and feedback. Prior teleoperation/robotics or lab data collection experience preferred; training provided. Basic computer skills for simple logging and spreadsheets. Preferred Qualifications Exposure to robotics, autonomous systems, drones, or simulation environments Experience with teleoperation, remote control systems, or QA/testing workflows Familiarity with data collection, logging, or annotation processes Ability to quickly learn new software applications Interest in AI, robotics, or emerging technologies Experience working in structured, metrics-driven environments Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: Anywhere Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE As a Senior Brand Designer at Circle, you'll play a key role in shaping one of our most valuable assets—our brand. This role sits within our Design Studio team—the creative engine behind all of Circle's marketing design—and focuses on evolving how Circle looks, feels, and communicates across every customer touchpoint. From product launches and campaigns to events, advertising, social, motion, and visual identity systems, you'll help create a brand that's instantly recognizable and impossible to ignore. We're looking for someone with exceptional visual craft, outstanding creative taste, and experience building brands for modern software, AI, or technology companies. You understand how to communicate complex products through clear, compelling visual storytelling, creating work that's both strategically effective and visually memorable. You'll think beyond individual assets, building scalable visual systems while constantly pushing the brand forward. Working closely with Marketing, Product Marketing, Motion, Content, and Leadership, you'll help define how Circle shows up to the world. We're building a brand that stands alongside the very best in technology—not just one that's functional, but one that's instantly recognizable, culturally relevant, and sets the standard for modern software companies. WHAT YOU'LL BE DOING - Help define and evolve Circle's visual identity across every customer-facing touchpoint. - Lead the creative direction for major product launches, campaigns, announcements, and strategic initiatives. - Design scalable brand systems that work across web, social, paid advertising, events, presentations, email, video, and product marketing. - Develop compelling visual narratives for new product launches, translating complex software and AI capabilities into simple, engaging brand experiences. - Create campaign identities, illustrations, iconography, graphics, presentations, and launch assets that elevate the Circle brand. - Develop storyboards and creative concepts for launch videos, motion pieces, and product announcements, collaborating closely with motion designers throughout production. - Partner with Product Marketing, Content, Motion, and Leadership to define the visual direction for major company moments. - Build reusable brand systems, templates, and creative frameworks that improve consistency and speed across the company. - Continuously evolve Circle's design language by researching emerging trends across branding, AI, motion, and digital design. - Present creative concepts confidently, communicate design rationale, and iterate based on feedback. - Maintain exceptional attention to detail, ensuring every asset reflects the quality expected from the Circle brand. - Research emerging AI-powered creative tools and identify opportunities to improve our design workflows. WHAT YOU'LL NEED TO BE SUCCESSFUL - Strong alignment with our values (find them on our Careers page if you haven't already). - You are proficient in English (spoken, written, and reading) at a CEFR Level C2 / ILR Level 5. - 5+ years of experience as a Brand Designer, Visual Designer within software, AI, or technology companies. - A portfolio demonstrating exceptional brand design across campaigns, product launches, visual identities, and digital experiences. - Experience building and evolving brands for modern software companies, with a strong understanding of how to communicate complex products through simple, engaging design. - Strong understanding of SaaS, AI, and technology design trends, with an eye for where modern brands are heading—not just where they are today. - Experience developing creative concepts and storyboards for product launches, brand films, motion graphics, or campaign videos. - Experience collaborating closely with motion designers and understanding how static design translates into animation and storytelling. - Exceptional typography, composition, colour, layout, and visual storytelling skills. - Advanced proficiency in Figma and Adobe Creative Suite. - Strong understanding of scalable design systems and visual identity frameworks. - Excellent communication skills—you can confidently present ideas, explain creative decisions, and collaborate asynchronously across teams. - Highly organised, proactive, and comfortable managing multiple creative projects simultaneously. - Curiosity around AI-powered creative workflows and excitement to experiment with emerging technologies. - You obsess over craft and sweat every detail, while always thinking about the bigger picture—how every asset contributes to building a memorable, category-defining brand.   COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

Location: London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the role We are looking for an Engineering Manager to lead Codeless, our internal Server-Driven UI (SDUI) platform team. In this role, you will lead a cross-functional team bridging mobile/web frontend engineering and core platform backend systems. While this role is deeply rooted in modern UI architecture, its mission goes beyond standard UI development: Codeless empowers product teams across the organization to ship dynamic, native UI experiences dynamically from the backend—eliminating app store release bottlenecks, dramatically accelerating feature iteration, and establishing a unified UI schema across iOS, Android, and Web. What you’ll be doing This is a role with broad impact, from hands-on technical guidance to championing web and mobile accessibility across the company. We're looking for a leader who excels at fostering collaboration and can confidently guide a concept from initial idea to robust implementation. Day-to-day in this role you’ll: Team Leadership & Strategy: Build, mentor, and scale an engineering team responsible for our core Server-Driven UI platform ("Codeless"). Foster an inclusive, high-ownership engineering culture. Platform Architecture & Evolution: Oversee the design and evolution of dynamic layout engines, declarative UI schemas, and client rendering frameworks across iOS, Android, and Web. Developer Velocity & Platform Adoption: Partner with product feature teams to drive internal adoption of Codeless. Ensure the platform provides exceptional Developer Experience, clear tooling, robust design system integration, and seamless debugging workflows. Technical Execution & Quality: Set high technical standards for platform performance, payload optimization, caching strategies, backward compatibility, and graceful offline/fallback behavior across client devices. Cross-Functional Collaboration: Work closely with Product Managers, Design System leaders, and Core Infrastructure engineers to align the Codeless roadmap with broader company initiatives and global design paradigms. What you’ll need to thrive Engineering Management: 3+ years of experience managing software engineering teams, with a track record of coaching engineers, delivering complex platform initiatives, and driving technical strategy. UI & Platform Domain Expertise: Strong foundational background in mobile (iOS/Android) or modern web architecture (React, SwiftUI, Jetpack Compose, or declarative UI paradigms). Product & Platform Mindset: Ability to treat internal product engineering teams as customers, evaluating platform success through developer velocity, adoption metrics, and rendering performance. Why join us At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: AU: Melbourne: (260 Burwood Rd); AU: Queensland Remote Worker; AU: New South Wales Remote Worker; AU: Sydney (45 Clarence St); AU: Brisbane (243 Edward St); AU: Victoria Remote Worker Workplace: Hybrid SENIOR ENGINEER - PLATFORM The role and its impact As a Senior Engineer in our Infrastructure team, you’ll help Xero engineers build and test software faster and with more confidence. You’ll design and build the systems that create test environments, and you’ll make sure test data is ready when teams need it. This work sits at the heart of how we ship software, and it helps set Xero up for AI transformation. You’ll work across complex platforms, including older legacy systems alongside modern technology. There will be trade-offs to weigh as you decide where the most value sits for engineering teams. Xero asks you to Go Bold in how you approach these problems, and to Go Fast without cutting corners. The team and how they connect Our Infrastructure team builds the platform foundations that Xero engineers rely on every day. Our engineers come from software, platform and infrastructure backgrounds, and we work closely with teams across Xero to understand their systems and find elegant solutions. We believe in Going Together, which means sharing knowledge openly and making sure everyone’s voice is heard. The team is currently working on / Initially, you will focus on: - Building support systems and tooling for test environments, so engineers can test changes without waiting on blockers. - Improving test data and enabling frictionless testing across engineering teams. - Working with our Golang services, alongside infrastructure built with Terraform on AWS, including Kubernetes, EC2 and Lambda. - Contributing to a longer-running initiative to shorten feedback loops and increase engineering productivity. Where and how you can work This is a permanent role, based in Melbourne, Sydney or Brisbane with a remote-first working culture. We have no set office days, so you’ll work with your manager and team to find a balance that suits how you do your best work. Once you’ve settled in, you’ll join our on-call rotation as part of supporting the systems we build. Here are some of the things we’re looking for, for this role: - Your background could be in software engineering that has moved into platform or DevOps, or in infrastructure work that understands how software is built. - Golang is our preferred language, though strong experience in Java or .NET is equally welcome. - Hands-on experience with Terraform, AWS and Kubernetes will help you hit the ground running. - A curious, problem-solving mindset and the ability to pick up unfamiliar systems quickly, including legacy ones, are key to how you’ll Go Further here. - Clear communication is second nature to you, whether you’re working in another team’s codebase or presenting to leadership. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Remote / Hybrid (Los Angeles-based preferred) Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Remote / Hybrid (Los Angeles-based preferred) Annual salary: USD 85,000 - 115,000 per year (Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location.) Type: Full-time Reports to: Senior Game Producer About the Role As an Associate Producer, you will support the end-to-end development of motion-based games — from concept through launch — ensuring projects stay on track, teams stay aligned, and our player experience remains magical, intuitive, and family-friendly. You’ll work closely with design, engineering, art, QA, and external partners to coordinate deliverables, manage schedules, and maintain clear communication across stakeholders. This is an ideal role for someone who loves games, thrives in fast-moving environments, and cares deeply about creating meaningful experiences for kids and families. What You’ll Do Production & Execution Maintain production schedules, and milestone tracking Participate in and help run stand-ups and cross-functional sync meetings Track dependencies, risks, and blockers across teams Ensure builds and deliverables are on time and aligned with scope Prepare milestone reports and stakeholder updates Motion-Based Gameplay Support Coordinate implementation of camera-based motion gameplay systems Support playtesting with kids and families; synthesize feedback into actionable insights Track motion calibration, usability improvements, and accessibility features Ensure experiences are intuitive for a wide age range and skill levels Evaluate milestones, write build notes and help compile stakeholder feedback. Kids & Family Focus Advocate for age-appropriate design and safety considerations Support external brand or IP collaboration workflows when applicable Keep fun, accessibility, and inclusivity at the center of development Cross-Functional Collaboration Act as the communication bridge between creative, technical, and business teams Partner with QA to prioritize and track bug resolution Support publishing needs (build delivery, feature documentation, gameplay capture coordination) Help coordinate external development partners when needed What We’re Looking For Required 3+ years experience in game production or project management Experience working on shipped game titles (mobile, console, or interactive platform) Strong organizational and communication skills Familiarity with Agile/Scrum workflows Experience with tools such as GitHub, Notion, Slack, Asana, or equivalent Passion for kids, family entertainment, and active play Flexibility to collaborate across global time zones, including Asia (particularly Hong Kong), with the understanding that recurring meetings and coordination will be required outside standard U.S. business hours. Bonus Points Experience with motion-based, camera-based, or fitness-style games Experience working with licensed IP or external partners Background in consumer hardware or platform-based products Experience conducting or coordinating playtests with children Who You Are Highly organized and detail-oriented Proactive problem solver Comfortable operating in a fast-growing startup environment Collaborative and low-ego Energized by building products that get kids moving and families playing together Comfortable with ambiguity Able to take initiative in a fast-paced environment Why Join Nex Playground? Build category-defining motion gaming experiences Help shape a growing platform at an exciting stage Work with a passionate team focused on joy, movement, and meaningful play Make a real impact on how families experience games together We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Metro Manila; Kazakhstan Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role You'll own regulatory license application projects for Salmon, managing submissions to the BSP (Bangko Sentral ng Pilipinas), the SEC (Securities and Exchange Commission), and other regulators as the company expands its licensed products and geographies. This is a hands-on role for someone who goes deep into the detail, drafts the materials themselves, and keeps applications moving. What you'll do - Work within a small, dedicated licensing function, coordinating across legal, compliance, finance, product, and PMO teams to move license applications forward - Serve as the primary on-the-ground point of contact in Manila for licensing projects, working closely with a remote team lead - Navigate regulatory back-and-forth: drafting responses, tracking open items, and keeping stakeholders aligned across multiple concurrent applications - Keep applications on track by explaining the regulatory context and requirements behind each request, so stakeholders understand what is needed and why, and escalating with clear facts and impact when inputs are blocked What you'll own - End-to-end management of regulatory license applications, from initial pack preparation through regulator approval - Drafting application documentation yourself (application letters, governance materials, and corporate documents), bringing in the relevant stakeholders for input/support where needed and sign-off - Timelines, deadlines, and deliverables across multiple license projects simultaneously, pushing stakeholders to deliver on time and escalating risks early - Coordination with legal, compliance, finance, and business owners to gather inputs and ensure submissions are accurate and complete - Ongoing communication with regulators, tracking questions, comments, and required follow-ups through to closure - Supporting the transition of licensing projects from the PMO team into the dedicated licensing function What makes you a strong fit - 3-5 years of experience combining legal, regulatory, and project management work on complex, multi-stakeholder projects in financial services or fintech - Hands-on experience with license applications for financial activities (e.g. banking, e-money/payments, securities/trading, lending) or comparable fintech regulatory projects, at a bank, payment company, EMI, trading firm, or financial institution, or through law firm or Big Four advisory work in financial services - Strong drafting skills: you're comfortable reading regulations, interpreting requirements, and writing submission-ready documents - Detail-oriented, with the ability to spot gaps and inconsistencies before the regulator does - Confident and persistent with stakeholders at all levels: you explain the "why" behind each request with clear regulatory context and detail, follow up, push back, and escalate when needed, while keeping relationships constructive - Comfortable working with Confluence, JIRA, and Slack as core operating tools - Relocation to Manila is required

Location: San Francisco, CA 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 Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact 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: $300,000 — $320,000 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. 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: Armenia; Lebanon; Russia We are seeking a highly articulate, efficient, and bilingual Medical Coordinator & Front Desk Specialist to support our active General / Family / Internal Medicine practice. In this role, you will serve as the administrative backbone of our clinic—managing a high volume of inbound and outbound patient calls ( 500–1,000 calls per week across the practice ), verifying insurance coverage, processing medication refills, managing prior authorizations, and maintaining pristine schedules within our EHR system. Fluency in both English and Armenian is strictly required to effectively serve our patient community. Key Responsibilities 1. Patient Communications & High-Volume Call Management Handle high-volume inbound and outbound phone calls using our cloud phone system ( Nextiva VOIP ). Answer patient inquiries, schedule and confirm appointments, and triage urgent calls with a warm, professional, and clear telephone manner in both English and Armenian. 2. Insurance Verification & Prior Authorizations Verify patient insurance eligibility, copays, deductibles, and benefits prior to scheduled appointments. Initiate, submit, and track insurance prior authorizations for procedures, diagnostic imaging, and medications. 3. Prescription Refills & Clinical Administrative Support Process medication refill requests following clinic protocols, verifying prescription history in the EHR, and routing notes to providers. Manage provider schedules, optimize appointment calendar flow, and perform daily patient outreach to minimize missed visits. 4. EHR & Data Management Manage patient charts, registration records, and scheduling workflows within Athenahealth EHR (or similar platforms). Utilize Microsoft Excel and Office tools to track daily administrative tasks, referral logs, and task lists. Qualifications & Requirements Language Mastery (Non-Negotiable): Superior spoken and written communication skills in both English and Armenian . Clinical Experience: 1–2 years of experience in General, Family, or Internal Medicine (preferably in a Front Desk, Medical Assistant, or Coordinator role). Highly qualified candidates with strong medical backgrounds in other specialties will also be considered. Core Competencies: Proven experience managing high call volumes, insurance verifications, prior authorizations, prescription refills, and patient scheduling. Technical Proficiency: Proficient in Microsoft Excel and Office Suite. Requirements Preferred Qualifications EHR: Hands-on experience with Athenahealth (Athena) EHR . Phone Systems: Familiarity with Nextiva VOIP or cloud-based phone platforms.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.