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Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Establish functional, performance, environmental and security requirements with mission stakeholders & CONOPs. • Translate requirements into clear payload performance parameters and maintain bidirectional traceability throughout the project lifecycle. • Establish with cybersecurity team payload‑specific requirements & embed resilience and security by design. Payload Architecture Definition • Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays, digitizers/ onboard processing, Feeder links, master reference oscillator & clock synchronizations). • Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload specific subsystems. • Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber). Trade‑Study & Technology Road‑Mapping • Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board processing algorithms, PVT. • Identify emerging technologies and incorporate them into the company’s long‑term roadmap. System Modeling & Performance Simulation • Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using MATLAB/Simulink, SystemView or Python‑based toolkits. • Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral efficiency, G/T, EIRP and other key metrics. • Optimize payload design and performance with operation with traffic models/CONOPs. Simulation & Analysis • Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting. • Optimize Payload DC power budget with traffic & utilization models. Hardware & Firmware • Own system‑level specifications to hardware designers, review schematics, layouts, thermal & mechanical interfaces. • Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency and deterministic behavior. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software, Ground Segment and Mission Operations teams to resolve integration issues early. • Support payload design authority in System design reviews and Mission Operations hand‑over. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentation are version controlled in PLM environment. • Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Define SOOH and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.  Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Gather functional, performance, environmental and security requirements from mission stakeholders & CONOPs. • Map requirements to payload equipment performance with I/F with on-board processor • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Implement the high‑level digital payload architecture (optical ISLs, Phased array antennas, Feeder links & front‑end), master reference oscillator & clock synchronizations. • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Implement high‑speed data‑bus I/F (SpaceWire, SpaceFibre, Ethernet, CAN). Simulation & Analysis • Perform performance simulations (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, G/T, EIRP…etc.) and Monte‑Carlo analyses for tolerance budgeting. • Define and maintain Payload DC power budget with traffic & utilization models • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Hardware & Firmware • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints. • Support SW development for MODCODs and on‑board processing pipelines; ensure BIST, timing, latency and deterministic behavior. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments. • Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentation are version controlled in PLM environment. • Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Provide technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G NTN.  Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Gather functional, performance, pointing, environmental and security requirements from mission stakeholders & CONOPs. • Capture, trace and map payload requirements from mission level to subsystem level • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Design the SAR system architecture (antenna arrays & RF front-end Tx/Rx components, digital beamforming, processing chain and digital electronics, power, thermal, and mass). • Lead the conceptual, preliminary, and detailed design phases, producing trade studies, performance budgets). • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints Simulation & Analysis • Perform performance simulations for tolerance budgeting and image quality. • Support algorithm and analytical development to process SAR. • Define and maintain Payload DC power budget with utilization models. • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments. • Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, firmware, deliverables and documentation are version controlled in PLM environment. • Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Provide technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Computer science or Physics with 10 + years of experience supporting SAR remote sensing system development, integration and test on LEO/MEO missions.  Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Goodyear, United States Workplace: onsite Role type: Part-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. Avila University Arizona is seeking dedicated and qualified Adjunct Instructors to join our faculty in Goodyear, Arizona. As an Adjunct Instructor, you will teach online and hybrid graduate courses. The ideal candidate possesses strong industry experience and technical proficiency in selected field and is passionate about mentoring adult learners in accelerated graduate programs. When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through January 2027, will be distributed from this pool based on course availability and enrollment. Subject areas: 1. Artificial Intelligence, Data Science & Analytics Faculty may teach courses in areas such as: Artificial Intelligence and Machine Learning Deep Learning and Generative AI Natural Language Processing and Computer Vision Data Science and Predictive Analytics Business Intelligence and Data Visualization Big Data and Cloud Analytics 2. Project Management & Operations Faculty may teach courses in areas such as: Project Management and Agile Methodologies Operations and Supply Chain Management Process Improvement and Six Sigma Strategic Leadership and Organizational Management Project Tools, Technologies, and Analytics Candidates applying for PM & Operations must have a valid PMP certificate. 3. Healthcare Administration & Health Informatics Faculty may teach courses in areas such as: Healthcare Systems and Administration Health Informatics and Digital Health Systems Electronic Health Records and Interoperability Healthcare Policy, Law, and Ethics Healthcare Finance and Strategic Management Healthcare Data Analytics and Decision Support 4. Data Science, Analytics & Business Intelligence Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship 5. Core Business Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship Summary of role: Instruction & Delivery Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods. Utilize best practices in teaching for online, accelerated adult graduate programs. Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles. Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability. Mentorship & Student Support Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions. Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate. Collaboration & Coordination Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas. Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies. Professional Development Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices. Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content. Administrative Duties Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system. Ensure compliance with university academic standards and accreditation requirements. Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum. Qualifications: Required: Doctorate in the related field. A master’s degree with significant (10+ years) professional industry experience in the subject area will be considered in lieu of a doctorate. Required: Minimum of 5 years of professional experience applying subject concepts in a business or research setting. Preferred: Prior teaching, training, or adjunct faculty experience in related subjects. Demonstrated ability to communicate complex management concepts clearly to diverse audiences. Ability to facilitate virtual team simulations and guide students through conflict resolution and negotiation scenarios. Excellent communication, collaboration, and time-management skills. Familiarity with working on real-world business datasets and solving industry-specific problems. Terms of Employment: FLSA Status: Exempt Communication: Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties. Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Language Skills: This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum. Evaluation: Performance of this position will be evaluated in accordance with Avila University policy. The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned. Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations. Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Goodyear, United States Workplace: onsite Role type: Part-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. Avila University Arizona is seeking dedicated and qualified Adjunct Instructors to join our faculty in Goodyear, Arizona. As an Adjunct Instructor, you will teach online and hybrid graduate courses. The ideal candidate possesses strong industry experience and technical proficiency in selected field and is passionate about mentoring adult learners in accelerated graduate programs. When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through January 2027, will be distributed from this pool based on course availability and enrollment. Subject areas: 1. Artificial Intelligence, Data Science & Analytics Faculty may teach courses in areas such as: Artificial Intelligence and Machine Learning Deep Learning and Generative AI Natural Language Processing and Computer Vision Data Science and Predictive Analytics Business Intelligence and Data Visualization Big Data and Cloud Analytics 2. Project Management & Operations Faculty may teach courses in areas such as: Project Management and Agile Methodologies Operations and Supply Chain Management Process Improvement and Six Sigma Strategic Leadership and Organizational Management Project Tools, Technologies, and Analytics Candidates applying for PM & Operations must have a valid PMP certificate. 3. Healthcare Administration & Health Informatics Faculty may teach courses in areas such as: Healthcare Systems and Administration Health Informatics and Digital Health Systems Electronic Health Records and Interoperability Healthcare Policy, Law, and Ethics Healthcare Finance and Strategic Management Healthcare Data Analytics and Decision Support 4. Data Science, Analytics & Business Intelligence Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship 5. Core Business Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship Summary of role: Instruction & Delivery Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods. Utilize best practices in teaching for online, accelerated adult graduate programs. Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles. Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability. Mentorship & Student Support Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions. Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate. Collaboration & Coordination Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas. Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies. Professional Development Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices. Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content. Administrative Duties Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system. Ensure compliance with university academic standards and accreditation requirements. Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum. Qualifications: Required: Doctorate in the related field. A master’s degree with significant (10+ years) professional industry experience in the subject area will be considered in lieu of a doctorate. Required: Minimum of 5 years of professional experience applying subject concepts in a business or research setting. Preferred: Prior teaching, training, or adjunct faculty experience in related subjects. Demonstrated ability to communicate complex management concepts clearly to diverse audiences. Ability to facilitate virtual team simulations and guide students through conflict resolution and negotiation scenarios. Excellent communication, collaboration, and time-management skills. Familiarity with working on real-world business datasets and solving industry-specific problems. Terms of Employment: FLSA Status: Exempt Communication: Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties. Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Language Skills: This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum. Evaluation: Performance of this position will be evaluated in accordance with Avila University policy. The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned. Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations. Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Bogota, Colombia; Belgrade, Serbia; Tbilisi, Georgia; Nicosia, Cyprus Workplace: remote Evaluate new client opportunities by analyzing technical and reporting needs, setting expectations on pricing and analytical solutions, estimating required resources, margins, and profitability, and identifying potential added-value offerings. Analyze and manage the client portfolio, with a focus on high-priority accounts, to assess profitability, resource allocation, workflows, and operational efficiency, identifying areas for improvement. Support decision-making on client portfolio strategy by preparing profitability reports, summarizing key pain points, and proposing action plans for each client engagement (e.g., growth, restructuring, or phase-out). Act as a supporting point of contact for clients during onboarding and integration phases, ensuring smooth adoption of media execution processes, tracking solutions, and reporting frameworks. Be a client-facing technical expert, capable of translating complex technical concepts into clear, simple terms. Support clients during troubleshooting processes, explaining campaign insights, optimization opportunities, and the agency’s capabilities in terms of platforms, analytics, and reporting solutions. Coordinate cross-functional teams to ensure accurate campaign setup, seamless platform integrations, effective tracking and measurement implementation, and reliable performance and profitability reporting. Proactively identify risks and challenges, implementing effective solutions to mitigate them. Act as an internal subject-matter expert on integration processes, supporting process optimization, scalability initiatives, and internal knowledge-sharing. Requirements 3+ years of experience in digital marketing, preferably in a digital agency environment Proven track record of successfully managing high-priority client accounts and driving revenue growth. Strong understanding of digital marketing, web development, and other related services. Experience in strategy development and planning for digital marketing campaigns Team management experience Excellent communication and interpersonal skills, with the ability to build rapport with clients and internal teams. Strong client communication skills, including presenting strategies, tactics, optimizations, and campaign results, as well as handling day-to-day communication and status updates Strong understanding of the difference between Performance and Media (tools, objectives, KPIs, analytics) Highly organized with excellent project management skills, able to prioritize tasks and manage multiple deadlines simultaneously.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Collections Experience owns the product experience for Notion’s database block and everything on top of it: properties, views, forms, permissions, and many more features. If you’ve ever typed /database in a Notion page, you’ve already used something our team built. We’re hiring an experienced software engineer to accelerate our mission to build a flexible, reliable, and intuitive primitive that gives everyone the power to model their work exactly as they imagine— from simple lists to the most complex workflows. We’re 8+ engineers, designers, and PMs across SF and NYC. You’ll work across the stack in TypeScript, ship features that touch both the data model and the UI, and help shape where the database block goes next. WHAT YOU'LL ACHIEVE - Design and ship new database properties and views that expand what people can model in Notion - Design permission models that hold up at the scale of our largest customers - Partner with the Agent team to grow what Notion Agent can do with databases, from tool development to eval-driven iteration - Collaborate closely with product and design on features that are ambiguous up front and require strong technical judgment to scope - Raise the bar on code review, testing, and technical design across the team SKILLS YOU'LL NEED TO BRING - 10+ years shipping production software, with a strong track record of owning features end-to-end - Fluency with TypeScript across both backend and frontend - Strong product instincts: you can take a vague problem, propose a solid technical approach, and know when to cut scope - Experience on systems where data model decisions have long-lived consequences (databases, permissions, collaborative editing, or similar) - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES: - Experience building database, spreadsheet, or workflow tools - Background in permissions or authorization systems at scale - Familiarity with AI/agent tooling, evals, or LLM-driven product experiences Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $213,000 - $320,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: London, UK 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 The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £370,000 — £630,000 GBP 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: Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 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: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. Why Technology at loveholidays? Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The impact you’ll have: You’ll join our Web Infrastructure team, reporting to the Senior Lead Engineer. The team builds the shared foundations behind loveholidays’ customer experiences, spanning our web and app platforms, design system, edge computing and experimentation. You’ll help shape these foundations by: - Building platforms that enable market-leading web performance and accessibility by default, giving product teams the foundations to deliver fast https://medium.com/loveholidays-tech/the-evolution-of-the-loveholidays-web-platform-9b34f59c8c5a, inclusive customer experiences. - Evolving our design system to help engineers, designers and AI agents deliver consistent, high-quality experiences. - Improving developer experience and reliability through faster builds https://tech.loveholidays.com/build-baby-build-276e445f539e, actionable error reporting https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc and tools that make systems easier to develop and operate. - Owning problems from discovery through delivery by working directly with internal customers to identify priorities and validate that solutions meet their needs. Your skillset: - Strong frontend engineering and performance skills – you have deep experience with a modern frontend framework (we use Preact), TypeScript and CSS, and can diagnose performance bottlenecks and measure how architectural and implementation changes affect Core Web Vitals and real-world performance. - Experience building shared frontend foundations – you’ve built and maintained robust and reusable design systems and developer tooling – managing governance, compatibility and providing clear documentation and migration paths for adopting teams. - Accessibility engineering – you have experience embedding automated accessibility checks into component tests and CI, preventing regressions, and complementing automation with keyboard and assistive technology testing. - Infrastructure ownership – you have experience operating production infrastructure through infrastructure as code tools, such as Terraform, with attention to safe changes, observability and reliability. - Building systems for AI agents – you understand how clear interfaces, reusable capabilities, machine-readable context and automated validation help agents work reliably within defined constraints. - Product engineering mindset – you’re comfortable with ambiguous problems, can challenge proposed solutions and weigh trade-offs, and use research, adoption metrics and performance data to guide decisions. The interview journey: 1. TA screening - 30 mins 2. 1st stage interview with the Hiring Manager - 45 mins 3. Tech challenge - you can choose between a live and take home option 4. Final stage - consisting of discussions around three key areas Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Paris, Remote Workplace: remote The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement. By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology. You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base. Within 1 month, you will: Master our Platform's core user experience and the Collaborative Learning methodology Become a platform expert (from a user & admin perspective) and get certified on our methodology. Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine. Connect with colleagues worldwide through virtual coffee chats and team-building activities. Within 3 months, you will: Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement. Identify and execute your updates on the Engagement Academy to align with the latest product releases. Define your quarterly priorities in relation to the Support & Services roadmap with your coach. Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement. Within 6 months, you will: Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content). Participate in Discovery Meetings with Product Managers to share insights on how clients actually use and adopt the platform. Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog. Build new processes and update Confluence with the information needed for the team's daily work. Within 12 months, you will: Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories. Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training). Develop advanced toolkits and training paths based on the most successful client use cases. The Skills Set: 3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care. You are recognized for your listening and teaching skills You express your ideas in a clear and concise manner, both in writing and orally You are proactive and prefer working in a strong results-oriented culture A past experience in the learning industry is a plus You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German and English. Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity_360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our LEC Coach Case Study Meeting with our LEC Coach and a member of the team Clarification Meeting with our Head of professional Services EMEA Culture Fit Meeting with our VP Global Professional Services Offer ! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Luxembourg Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Head of Complience to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. KEY RESPONSIBILITIES Regulatory Compliance & Governance • Oversee day-to-day compliance across all business activities, covering MiFID II, AML/CFT legislation, CSSF circulars, DORA, and relevant EU regulations. • Own the development, maintenance, and continuous improvement of internal policies, procedures, and the compliance monitoring programme. • Support the implementation of a governance structure aligned with the three lines of defense model. • Provide practical regulatory guidance to management on new initiatives, product development, and operational changes. AML/CFT & Financial Crime Prevention • Lead the AML/CFT framework, including institutional and client risk assessments, onboarding controls, ongoing monitoring, and suspicious activity reporting. • Work closely with digital onboarding and RegTech functions to ensure effective controls without compromising the client experience. Regulatory Interface • Serve as a key point of contact with the CSSF on supervisory matters, licence conditions, and regulatory reporting. • Prepare and coordinate regulatory submissions, respond to supervisory queries, and help maintain a constructive and transparent relationship with the regulator. Operational Resilience & ICT Governance • Work alongside Risk and IT on DORA-related implementation, ICT risk governance, incident reporting, and oversight of outsourced service providers. Advisory & Culture • Act as a trusted advisor to senior management and the Board on regulatory developments, emerging risks, and compliance strategy. • Help set the tone from the top by embedding a strong compliance culture across the organisation from inception. Essential • Approximately ten (10) to twelve (12) years of relevant compliance experience within Luxembourg-regulated financial institutions. • Direct, hands-on exposure to the CSSF supervisory environment, including active interaction with the regulator. • Proven track record of managing regulatory expectations and navigating supervisory processes. • Strong working knowledge of MiFID II, AML/CFT requirements, and the regulatory framework applicable to investment firms. • Eligible, based on qualifications and experience, for CSSF approval as Responsable du Contrôle (RC) and MLRO. • Fluent English, written and spoken. Desirable • Experience in fintech, digital wealth management, or technology-enabled investment platforms. • Familiarity with Sharia-compliant investment products or Islamic finance principles. • Working proficiency in French.

Location: Gżira, Malta; Città Vittoriosa, Malta; Għaxaq, Malta; Msida, Malta; Naxxar, Malta; Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Bolzano, Italy; Rome, Italy; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Athens, Greece; Crete, Greece; Aya Napa, Cyprus; Limassol, Cyprus; Nicosia, Cyprus; Paphos, Cyprus; Porto, Portugal; Lisbon, Portugal; Bucuresti, Romania; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Tax Manager specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Leading tax-planning and implementation strategies to optimize clients’ tax liability Providing advice on tax considerations in various processes of corporate restructuring and financing, mergers and acquisitions, cross-border investments, and other types of transactions Assisting international and local clients with ad-hoc tax advisory engagements Assisting in tax compliance and execution, including preparation of corporate tax returns and tax refund applications Assisting in tax audits and liaising with tax authorities Delivering technical training and providing technical support to the accounting and audit teams Keeping abreast with direct tax developments locally and internationally Identifying opportunities for the unit’s growth Re-assessing and proposing improvements to systems and processes as and when required Assisting junior team members as their primary point of contact and review work where appropriate Experience working against deadlines and delivering in a timely manner Excellent verbal and written communication skills in both English and Maltese languages Knowledge of a third language is considered a plus Working on your own initiative and in a team, with a pro-active approach Building relationships with clients and having a passion for delivering exceptional service Your Qualifications and Experience: ACCA qualified or equivalent A minimum of 2 years experience in a CSP environment following achievement of qualifications Excellent command of accounting standards and Maltese tax legislation

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Preferable to have someone near one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate. Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway. We are looking to hire a Commercial Counsel who has a strong background in B2B SaaS customer negotiations. Other nice-to-have experience includes: legal operations, privacy, and strategic IP-heavy partnerships, and product counseling. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for helping companies build and bringing scalable initiatives across our commercial and other legal workstreams. While the role is in large part focused on the commercial legal function, you might also bring to the table generalist experience across domains such as data privacy, vendor negotiations, and compliance. You will serve as a strategic thought partner to cross-functional teams from sales to partnerships to marketing and to the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must. WHAT YOU’LL DO - Lead negotiations with Runway’s customers and strategic partners. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, partnership agreements, and vendor agreements. - Implement commercial processes, tools, and infrastructure to help us scale, including improving templates, playbooks, contract review automation, and our legal tech stack - Empower the sales team with tools and knowledge to close deals quickly - Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business - Closely follow technical, legal, and policy developments in the generative AI space WHAT YOU’LL NEED - A J.D. and admission in good standing with at least one state bar - 3+ years of negotiating complex technology transactions, including 1+ years negotiating B2B SAAS customer contracts on a commercial legal team at a fast-paced late stage private or mid-sized public B2B SaaS company - In addition to B2B SaaS customer contract negotiations, experience with data privacy, legal operations, strategic IP-heavy partnerships and preferably B2C legal issues are nice-to-have - Bias for action and a willingness to take ownership - Growth mindset that prioritizes continuous operational improvement and service excellence - Experience with scaling business processes globally and operating in environments that have achieved significant scale - Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York, New York, United States About the Role iCapital is looking to hire a Strategic Finance professional to join the Corporate Finance team. This role will involve large scale responsibilities across financial and managerial reporting, budgeting, forecasting, analysis of key financial and performance indicators, monthly and quarterly management reporting duties, including support during the financial close, financial modelling, and partnership with key business and department Leads to enhance decision making. This individual will report into the iCapital Solutions Business Controller, Senior Vice President. Responsibilities Support the budgeting and forecasting of the company’s key financial performance indicators, with emphasis on revenue, expenses, sales activity, and select GAAP and Non-GAAP metrics, liaising with FP&A team members, sales and business leads, while providing analysis of budget vs. actuals and real-time forecasting of revenue and expenses. Assist in the preparation of the company’s annual budget process across key financial performance indicators, with emphasis on revenue, expenses, sales-based inputs and activity, and client level detail. Develop key financial and performance metrics with detailed analytics for the Management Committee and business leads. Liaise with FP&A team members to develop business specific key performance metrics, client analytics, budgets, and forecasts. Identify and assess key opportunities to enhance the current reporting structure and develop new approaches to evaluate business performance. Partner with FP&A team members and sales to develop monthly analyses and insights into variances between budget vs. actual results. Perform sales analytics to support the business development and growth of the company’s iCapital Solutions department. Support the preparation of monthly management and quarterly board reporting packages, including consolidation of financial statements, budget vs. actual results and revised forecasts, variance analysis and compilation of the company KPI reports. Identify and remediate process gaps and implement effective internal controls; improve documentation of internal control processes. Assist in completing ad hoc projects as needed such as implementation of new software, platform reporting automation, and financial planning and analysis tools. Qualifications 9+ years of FP&A, strategic finance, corporate finance, or accounting experience within the financial services industry and/or FP&A or strategic finance experience with a top-tier firm Familiar with private market investments such as private equity, hedge funds, and/or structured investments are preferred Experience in planning and ERP tools (i.e., WorkDay Adaptive, Tableau, Essbase, etc.) and familiar with Oracle NetSuite and/or General Ledger systems (i.e., PeopleSoft, Axiom) is preferred Able to work with business/sales and department leads on business performance including budgeting, forecasting and advanced analytics Advanced degree and/or credentials desired, such as MBA, CPA, CFA Advanced skills in Excel and PowerPoint Strong organizational planning, quantitative modeling, and problem-solving skills; strategic and creative thinking Able to manage large sets of data and be able to implement checks and balances Excellent verbal and written communication skills Detailed oriented with big picture capability Benefits The base salary range for this role is $145,000 to $175,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: South Africa; Philippines; Pakistan; Argentina; Mexico; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe & Australia. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house to work as a valued member of their team. Please note that by applying & completing our interview process, you will be added to our community. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as an exclusive Huzzle candidate. Job Type: Full-time Location: Remote Start Date : Immediate About the Company Our client is an innovative AI-driven company focused on building and deploying “AI employees” that automate business workflows and enhance operational efficiency. They specialize in integrating cutting-edge automation tools and large language models (LLMs) to streamline client operations across multiple industries. Job Summary We are seeking a highly skilled Technical Project Manager with hands-on experience in workflow automation and AI/LLM integrations. This role is ideal for someone who can bridge technical execution and business strategy—leading projects that involve tools like n8n, Zapier, and AI platforms such as OpenAI, Gemini, and Claude. You will manage end-to-end delivery of automation and AI-driven initiatives, working closely with developers, stakeholders, and cross-functional teams to ensure projects are delivered on time, within scope, and aligned with business objectives. Key Responsibilities Lead and manage technical projects focused on automation and AI implementation Design and oversee workflows using tools like n8n, Zapier, Make (Integromat), or similar platforms Coordinate the integration of LLM APIs (e.g., OpenAI, Gemini, Claude) into business processes Collaborate with engineering, product, and operations teams to define project scope and deliverables Translate business requirements into technical specifications and actionable tasks Monitor project timelines, budgets, and performance metrics Identify risks, troubleshoot issues, and ensure smooth project execution Optimize workflows and processes for scalability and efficiency Maintain clear communication with stakeholders and provide regular updates Requirements 3+ years of experience as a Technical Project Manager or similar role Proven experience with automation tools (n8n, Zapier, Make, etc.) Hands-on experience working with LLMs and AI tools (OpenAI, Gemini, Claude, or similar) Strong understanding of APIs, integrations, and system architecture Experience managing remote technical teams and cross-functional stakeholders Familiarity with Agile, Scrum, or other project management methodologies Excellent problem-solving, communication, and organizational skills Ability to balance technical depth with business impact Background in SaaS, AI startups, or automation-focused environments Experience with prompt engineering and AI workflow design Basic coding knowledge (Python, JavaScript, or similar) Experience with CRM systems and data pipelines Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Chicago, IL; Boston, MA; Washington, D.C. Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Portuguese (Portugal) language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. 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. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Spanish language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. 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. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.