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Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

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

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

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

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

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

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

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: Makkah, Saudi Arabia; Dubai, United Arab Emirates; New Delhi, India; Cairo, Egypt Job Summary We are looking for a Governance Senior Specialist with 3–6 years of experience in governance framework development and implementation. The ideal candidate should have experience with governance structures, decision rights, policies and procedures, committee governance, monitoring, reporting, and action tracking, supported by Microsoft Power BI reporting. Experience: 3–6 years Key Responsibilities Develop and implement governance frameworks. Establish and maintain governance structures and decision rights. Support policy and procedure governance. Support committee-level governance activities. Monitor and report governance activities. Track actions and decisions. Maintain governance documentation. Engage with stakeholders and prepare dashboards/reports. Requirements Relevant Expertise Governance Framework Development Governance Structures & Decision Rights Policy & Procedure Governance Committee Governance Governance Monitoring & Reporting Action & Decision Tracking Documentation Microsoft Power BI Stakeholder Engagement Preferred Certifications GRCP, CIA, or other relevant Governance/GRC certification.

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 an Enterprise Risk Management Specialist with 3–6 years of experience in enterprise risk management, risk governance, risk assessment, monitoring, and reporting. The ideal candidate should have experience managing risk registers, reviewing controls, engaging stakeholders, and using Microsoft Power BI for reporting and dashboards. Experience: 3–6 years Key Responsibilities Support enterprise risk management and risk governance activities. Identify, assess, monitor, and report organizational risks. Develop and maintain risk registers. Review controls embedded within risk registers. Prepare risk reports and dashboards using Microsoft Power BI. Engage with stakeholders across the organization. Requirements Relevant Expertise Enterprise Risk Management Risk Governance Risk Identification & Assessment Risk Register Management Risk Monitoring & Reporting Controls Review Microsoft Power BI Stakeholder Engagement Preferred Certifications CRMP, CRISC, ISO 31000, or equivalent.

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: Los Angeles, United States; Warsaw, Poland; Tbilisi, Georgia; Batumi, Georgia; Buenos Aires, Argentina; Tallinn, Estonia Think You Can Make AI Notice Us? Prove It. At LBC Mortgage, we’re looking for a curious, ambitious, and unconventional thinker who is ready to experiment, challenge assumptions, test new ideas, and help make our brand visible across the rapidly evolving world of AI platforms. The way people discover businesses is changing. More and more people are turning to AI assistants like ChatGPT, Gemini, and Perplexity to ask questions, compare services, and decide which companies deserve their attention. We want LBC Mortgage to be part of those conversations. Not just on Google. Not just on social media. We want our brand to be discoverable, recognizable, and accurately represented wherever people search for answers, recommendations, and solutions. Your mission is simple: help make LBC Mortgage impossible to overlook. We’re not looking for someone who needs ten years of experience, a complicated strategy document, or permission to try every new idea. We’re looking for someone who is genuinely interested in how AI works, enjoys exploring new tools, and isn't afraid to test an approach that nobody on the team has tried before. You don't need to know everything on day one. You need to be willing to learn, think independently, take initiative, and turn ideas into action. This is not about taking reckless risks or doing things without a plan. It’s about having the confidence to experiment intelligently, measure results, and improve continuously instead of assuming that yesterday’s methods will always work tomorrow. You will help establish and maintain our presence across relevant business directories, search engines, review websites, social platforms, online communities, and emerging AI-driven discovery channels. You’ll work on making sure our business information is accurate and consistent, our profiles are complete, and our content clearly communicates who we are and what we do. You’ll also explore how brands are mentioned in AI-generated answers, identify opportunities to strengthen our online presence, and investigate what helps AI systems discover and understand reliable information about businesses. From improving business listings to researching customer questions, contributing appropriately to relevant communities, and testing new content strategies, your work will help us understand how to become more visible in a world increasingly shaped by AI. You should be comfortable following a strategy while also recognizing opportunities to improve it. If you notice something that could work better, speak up. If you discover a promising platform, explore it. If you have an idea worth testing, explain your reasoning and help us evaluate the results. We value people who combine initiative with accountability and creativity with attention to detail. Most importantly, we want someone who sees this role as an opportunity rather than a checklist. Someone who wants to help shape how a brand competes in a changing digital landscape. Someone who understands that there may not always be a ready-made answer and is willing to find one. We’re not promising that every experiment will succeed. We’re offering the opportunity to explore, test, learn, and contribute to something that is evolving in real time. You’ll have a clear objective, the freedom to investigate different approaches, and the responsibility to turn what you learn into meaningful progress. Don’t just tell us you’re different. Show us how you think, what you’re curious about, and what you would try first. Ready to make AI notice us? Apply.

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: Denmark We are looking for a Senior Backend Engineer to join a large-scale issuer processor migration programme within the payments domain. The role is focused on building and integrating high-volume backend systems, supporting complex platform migrations, and ensuring the reliability of business-critical services throughout the programme lifecycle. Location Denmark is the preferred location for this role. What you'll be working on Design, develop, and maintain backend services using Go/Golang Build integrations between complex client and vendor platforms Work with transaction processing systems, APIs, and event-driven architectures Contribute to distributed systems and microservices-based solutions Support technical integration activities across multiple platforms Perform technical analysis related to migration and integration initiatives Participate in testing throughout different stages of the migration programme Investigate and resolve technical issues arising during integration and migration Work in cloud-native environments using modern engineering practices Help ensure the stability, reliability, and continuity of high-availability, business-critical systems Collaborate closely with client, vendor, and engineering teams throughout the programme lifecycle Requirements What we're looking for Strong commercial experience with Go/Golang Proven experience designing and building complex backend systems Solid understanding of distributed systems and microservices architecture Hands-on experience with event-driven platforms such as Kafka Strong knowledge of API design and system integrations Experience working on large-scale migration or integration programmes Experience with cloud-native environments and modern engineering practices Ability to work with high-volume, high-availability backend services Experience troubleshooting complex technical issues across integrated systems Strong collaboration skills and confidence working with both client and vendor teams Relevant domain experience Experience in any of the following areas would be highly valuable: Card payments Issuer processing Banking Fintech Transaction switching Payment infrastructure Other transaction-heavy or real-time processing environments The ideal candidate combines strong backend engineering expertise with practical experience working on complex integrations and migration programmes, particularly in environments where reliability, scalability, and continuity are critical.

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