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

KLUTCH Sports Group is looking for an Executive Global Partnerships International to generate, pitch, negotiate, and secure global sports brand partnerships.

Опыт работы в роли веб-аналитика от 3-х лет.

Location: Armenia; Lebanon; Russia We are seeking a highly articulate, efficient, and bilingual Medical Coordinator & Front Desk Specialist to support our active General / Family / Internal Medicine practice. In this role, you will serve as the administrative backbone of our clinic—managing a high volume of inbound and outbound patient calls ( 500–1,000 calls per week across the practice ), verifying insurance coverage, processing medication refills, managing prior authorizations, and maintaining pristine schedules within our EHR system. Fluency in both English and Armenian is strictly required to effectively serve our patient community. Key Responsibilities 1. Patient Communications & High-Volume Call Management Handle high-volume inbound and outbound phone calls using our cloud phone system ( Nextiva VOIP ). Answer patient inquiries, schedule and confirm appointments, and triage urgent calls with a warm, professional, and clear telephone manner in both English and Armenian. 2. Insurance Verification & Prior Authorizations Verify patient insurance eligibility, copays, deductibles, and benefits prior to scheduled appointments. Initiate, submit, and track insurance prior authorizations for procedures, diagnostic imaging, and medications. 3. Prescription Refills & Clinical Administrative Support Process medication refill requests following clinic protocols, verifying prescription history in the EHR, and routing notes to providers. Manage provider schedules, optimize appointment calendar flow, and perform daily patient outreach to minimize missed visits. 4. EHR & Data Management Manage patient charts, registration records, and scheduling workflows within Athenahealth EHR (or similar platforms). Utilize Microsoft Excel and Office tools to track daily administrative tasks, referral logs, and task lists. Qualifications & Requirements Language Mastery (Non-Negotiable): Superior spoken and written communication skills in both English and Armenian . Clinical Experience: 1–2 years of experience in General, Family, or Internal Medicine (preferably in a Front Desk, Medical Assistant, or Coordinator role). Highly qualified candidates with strong medical backgrounds in other specialties will also be considered. Core Competencies: Proven experience managing high call volumes, insurance verifications, prior authorizations, prescription refills, and patient scheduling. Technical Proficiency: Proficient in Microsoft Excel and Office Suite. Requirements Preferred Qualifications EHR: Hands-on experience with Athenahealth (Athena) EHR . Phone Systems: Familiarity with Nextiva VOIP or cloud-based phone platforms.

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

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

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

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

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

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

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

Location: Nicaragua; Honduras; Ecuador; El Salvador; Guatemala; Colombia We are seeking a detail-oriented Virtual Medical Administrative & Patient Engagement Coordinator to support our Medical Wellness and Health Optimization practice. The ideal candidate has prior U.S. healthcare administrative experience and excels at navigating insurance eligibility transitions, outbound patient engagement, and multi-platform scheduling with speed and accuracy. Key Responsibilities 1. Medical Administration (Primary Priority) Collect insurance details, process patient intake/registration, and verify eligibility and benefits (VOB). Enter and update demographic and clinical administrative data in Tebra . Support cash-pay workflows and document tracking in Avexcia . Upload medical records and track missing documentation. Provide administrative support to the billing team during the insurance rollout. 2. Patient Engagement & Outbound Calls (Secondary Priority) Make outbound calls to existing and prospective patients to convert inquiries into bookings. Follow up on incomplete registrations and unconfirmed appointments. Maintain detailed records of all patient interactions in the PM system. Direct and escalate clinical questions to medical providers appropriately. 3. Reception & Scheduling (Third Priority) Answer inbound phone calls using Ooma . Manage, schedule, and reschedule appointments in Mindbody/Legacy . Answer general patient inquiries and route messages to appropriate team members. Requirements Experience: Strong medical administrative or virtual medical assistant experience at a U.S.-based practice. Insurance Knowledge: Familiarity with insurance verification, eligibility checks, patient registration, and practice management (PM)/EHR systems. Software Familiarity: Experience using Tebra and Mindbody (or comparable systems like Kareo, eClinicalWorks, etc.). Communication: Excellent spoken and written English with a professional, warm phone demeanor for outbound calls. Skills: Strong data entry skills, high attention to detail, and ability to work independently. Compliance: Working knowledge of HIPAA rules and standard U.S. patient privacy guidelines. Please note that this is a full-time contractor position (40 hours per week) with a starting pay rate of $6 per hour depending on skillset and experience. The schedule is Monday through Friday, 8am-5pm, CST.

Location: Makkah, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India Job Summary We are looking for a Compliance Specialist with 3–6 years of experience in compliance management, internal policy compliance, legal and regulatory compliance, assessments, monitoring, and reporting. The candidate should also have experience using Microsoft Power BI for compliance reporting and dashboards. Experience: 3–6 years Key Responsibilities Manage and monitor compliance activities. Ensure compliance with internal policies and procedures. Support external legal and regulatory compliance. Conduct compliance assessments and monitoring. Prepare compliance reports and dashboards. Engage with relevant stakeholders. Requirements Relevant Expertise Compliance Management Internal Policy Compliance Legal & Regulatory Compliance Compliance Assessments Compliance Monitoring Compliance Reporting Microsoft Power BI Stakeholder Engagement Preferred Certifications GRCP, CISA, CIA, or equivalent.

Location: South Africa About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the company Our client is an established property management and estate agency based in Manchester, specializing in the residential and commercial sectors. With over 20 years of experience in the local market, the team manages an extensive portfolio of more than 800 properties, ranging from luxury professional apartments to dedicated student housing and commercial lettings. They pride themselves on a bespoke approach to property management, focusing on achieving high yields for landlords while providing modern, high-quality living spaces for tenants across key urban hubs. The team has crafted a unique, results-driven way of working that prioritizes market expertise and a hassle-free experience for their diverse clientele. Operating with a focus on growth and efficiency, they offer a collaborative environment where local knowledge meets a commitment to service excellence. This is an excellent opportunity to join a stable yet forward-thinking property firm that remains a prominent fixture in the North West’s competitive real estate market. Job Type: Full-time (GMT 9:00 AM – 5:00 PM) Job Summary As the first point of contact for a thriving Manchester-based real estate agency, you will play a critical role in driving the growth of our residential and commercial portfolios. This role is more than just answering phones; it is about being the engine of our sales pipeline. You will be responsible for qualifying high-intent leads, managing major property portal enquiries, and ensuring every prospective buyer, seller, landlord, and tenant receives a world-class experience from their very first interaction. Key Responsibilities Act as the professional first point of contact for all inbound calls and digital enquiries. Manage and respond to listing leads from Rightmove, Zoopla, OnTheMarket, and SpareRoom. Qualify prospects effectively to determine their needs and urgency before booking viewings, valuations, or consultations. Manage the team’s Google Calendar, ensuring all appointments are scheduled accurately. Maintain a structured CRM, segmenting leads into Hot, Warm, and Cold categories. Proactively follow up with unconverted opportunities and re-engage dormant leads in the database. Support email and SMS nurturing campaigns to keep the brand top-of-mind for property investors and professionals. Track and report on pipeline performance, ensuring zero missed enquiries. Requirements Proven experience in Lead Qualification and Appointment Setting. Previous experience within the Real Estate or Property industry. Exceptional English communication skills with a professional and confident phone manner. High proficiency in CRM management and data entry. Expert-level command of Google Workspace (Calendar, Drive, Docs) and Microsoft Office. Strong organizational skills with the ability to manage high enquiry volumes independently. A proactive "follow-up" mentality and extreme attention to detail. Nice-to-Haves Familiarity with the Manchester property market. Experience in managing multi-channel lead generation (phone, email, and property portals). Background in customer service or front-desk support in a fast-paced environment. Benefits 🌎 Fully remote role 🎯 Performance-driven culture with clear KPIs and advancement pathways

Location: Saint Thomas, Virgin Islands, U.S.; Red Hook, Virgin Islands, U.S.; Charlotte Amalie, Virgin Islands, U.S. Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. Join CXG, the global leader in customer experience, and work alongside iconic brand names. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. • Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. • Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: 1. Choose your assignments - align your missions with your personal preferences and profile. 2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. 3. Observe carefully - check the ambiance, service quality, and overall customer experience. 4. Provide honest feedback - use our platform to share your observations through questionnaires. Perks of the Role: • Collaborate with iconic brands across industries. • Flexible assignments tailored to your interests. • Compensation for your time and input, with the potential for reimbursement on purchases. • A user-friendly platform for managing missions and feedback. How to Join the CXG Community: 1. Register: sign up at live.cxg.com and confirm your email. 2. Complete your profile: fill out your details to 100% and get verified. 3. Get certified: pass the General Certification to access missions. 4. Apply for missions: explore assignments with brands that excite you. 5. Start evaluating: begin making a difference in the luxury market. Compensation: • Non-Purchase Evaluations: Earn a fee based on mission complexity. • Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Must be 18 years or older (21 years or older in the United States). Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers.

Location: Almaty, Kazakhstan We are looking for an experienced Flutter Developer to join a mobile application modernization project in Almaty. The role involves rebuilding existing native iOS and Android applications as a cross-platform Flutter solution, improving configuration flexibility, and contributing to the overall quality and maintainability of the product. Work format Hybrid, with on-site work at the client's office in Almaty. What you'll be working on Rebuild existing native mobile applications in Flutter Migrate functionality from iOS and Android solutions currently developed in Swift and Kotlin Replace hardcoded endpoint references with configurable variables Design and develop scalable cross-platform mobile functionality Integrate REST APIs and work with JSON-based data Optimize API communication and application data handling Implement and maintain application state management using BLoC and Provider Develop, test, release, and support mobile applications throughout their lifecycle Contribute to build automation, version control, and CI/CD processes Write and maintain unit, widget, and integration tests Work with mobile QA and automation tools Collaborate within an Agile environment using Scrum and Kanban practices Share technical knowledge with the team and support onboarding of new team members Contribute to AI-related functionality and initiatives within the project Requirements What we're looking for Strong hands-on experience with Flutter Solid knowledge of RxDart Experience integrating REST APIs and working with JSON Strong understanding of mobile application architecture and state management Practical experience with BLoC and Provider Experience optimizing API requests and handling application data efficiently Experience writing unit, widget, and integration tests in Flutter Familiarity with Flutter Driver, Appium, or similar mobile QA tools Experience with CI/CD solutions for Flutter, such as Codemagic and GitHub Actions Experience with Firebase services, including Auth, Firestore, Cloud Functions, and Crashlytics Good understanding of build automation and version control Experience working in Scrum and Kanban teams Practical AI-related skills Nice to have Android development experience with Java or Kotlin iOS development experience with Swift or Objective-C What will help you succeed Strong communication and collaboration skills Ability to take ownership and drive work to completion Leadership mindset Creative approach to problem-solving Openness, reliability, and willingness to support colleagues

Location: France; Spain; Italy We are looking for an experienced Senior Data Architect to assess an existing data landscape and define a scalable target-state architecture that can support future business growth. The role combines architecture assessment, data platform design, governance, data quality, integrations, and implementation support across cloud, on-premises, and hybrid environments. Language requirement French - C1 or higher What you'll be working on Assess the current data architecture and identify key risks, limitations, and improvement areas Define a scalable target-state data architecture Design an architecture that can support ongoing expansion through new subsidiaries Address architectural dependencies and eliminate existing single points of failure Define and improve data quality standards and data modeling practices Evaluate cloud, on-premises, and hybrid architecture options Design data warehouse and broader data platform solutions Support data governance initiatives from an architectural perspective Define and support REST API-based integrations Work with Microsoft SQL Server-based data environments Conduct the initial architecture assessment during the first project phase Support implementation and testing activities during the delivery phase Collaborate with technical and business stakeholders throughout the architecture and implementation lifecycle Requirements What we're looking for Senior-level experience in Data Architecture Fluent French at C1 level or above Strong understanding of Data Governance principles Hands-on experience with Microsoft SQL Server Proven experience designing and integrating REST APIs Strong background in Data Warehousing and Data Platform Design Experience assessing and designing cloud, on-premises, and hybrid architectures Deep knowledge of Data Quality management and Data Modeling Ability to evaluate existing data environments and define scalable target-state architectures Experience supporting implementation and testing of architectural solutions Strong analytical skills and ability to translate business growth requirements into sustainable technical architecture

Location: Tashkent, Uzbekistan В DMED мы создаём масштабные цифровые и государственные проекты. Мы ищем системного и опытного Head of PMO Dev , который возьмёт на себя управление процессами разработки, администрирование Jira/Confluence и развитие команды проектных менеджеров для обеспечения высокого качества и соблюдения сроков поставки продуктов. Сквозные процессы Стандарты проектов: Владение стандартами ведения проектов (планирование, статусы, риски, отчётность, релизный флоу, работа с багами и техдолгом). Регламенты: Поддержка и развитие действующих регламентов, доведение начатых инициатив до внедрения. Исключения и оптимизация: Ведение реестра исключений из стандартов и пересмотр неработающих правил. Балансировка процессов: Выстраивание общего процесса для двух направлений с разными заказчиками без потери скорости. Jira и инструменты Администрирование Jira Cloud: Настройка проектов, workflow, схем доступов, автоматизаций, Plans и дашбордов на уровне сайта. База знаний: Поддержка и структурирование базы знаний и регламентов в Confluence. Интеграции и отчётность: Выстраивание интеграций и отчётности для руководства. Развитие менеджеров Управление командой: Найм, онбординг, увольнение менеджеров, их закрепление за направлениями и переводы. Оценка и рост: Проведение 1:1, ПИР, перформанс-ревью по матрице компетенций, калибровка оценок с продакт-оунерами. Ресурсы и нагрузка: Контроль нагрузки менеджеров, отпусков, замещений, ворклогов и овертаймов. Обучение и разборы: Проведение собраний отдела, организация обучения, разбор инцидентов и отклонений по срокам. Автономия: Повышение самостоятельности менеджеров для принятия решений без лишней эскалации. Requirements Опыт и квалификация Опыт в IT: От 5 лет в проектном управлении в IT-разработке, из них не менее 2 лет — руководителем команды менеджеров (от 5 человек) или руководителем PMO. Трансформация процессов: Подтверждённый опыт постановки процессов с нуля или их пересборки (способность показать внедрённый регламент/процесс и названный измеримый результат). Жизненный цикл разработки (SDLC): Глубокое понимание релизных циклов, QA, баг-триажа, управления техдолгом и оценки задач. Инструменты и структура Администрирование Jira: Опыт администрирования Jira на уровне сайта (workflow-схемы, permission schemes, автоматизации, дашборды) и свободное владение Confluence. Матричное управление: Опыт работы в матричной структуре и применения влияния без прямой власти (навыки эффективных договорённостей с продактами, разработкой и топ-менеджментом). People Management: Опыт полного цикла управления людьми (найм, 1:1, оценка по компетенциям, ИПР, увольнения). Будет плюсом Опыт в проектах для госсектора или здравоохранения. Опыт одновременного применения продуктовой и проектной моделей. Опыт внедрения Scrum или спринтовой разработки. Benefits Официальное трудоустройство; Работа в развивающейся IT-компании; Молодой и дружный коллектив; График работы: пн–пт с 9:00 до 18:00. Участие в масштабных цифровых и государственных проектах. Конкурентную заработную плату. Современный офис с комфортной инфраструктурой. Простор для карьерного и профессионального роста.