Вакансии

Location: Philippines We are seeking a highly experienced, certified, and detail-oriented Virtual Certified Ophthalmic Coder & Billing Coordinator (Retina) to support a premier ophthalmology practice. In this critical clinical revenue cycle role, your primary focus will be live-coding complex ophthalmic and retinal patient visits, managing J-code injectable drug claims, posting payments, and acting as the main operational liaison between the clinic and our third-party billing company. Because this role demands high-level clinical coding accuracy, a minimum of 5+ years of direct ophthalmology coding experience, specialized background in retina coding, active coding certification, and live-coding mastery are absolute, non-negotiable requirements . General medical billers without direct hands-on ophthalmology coding expertise will not be considered. Working Environment & Core Schedule Role Title: Virtual Certified Ophthalmic Coder / Billing Coordinator (Retina) Specialty: Ophthalmology & Retina Status: Full-Time (40 Hours / Week) Schedule: Monday – Friday, 8:00 AM – 5:00 PM PST (Pacific Standard Time) Core Technology Stack: Ophthalmology EHR platforms (e.g., ModMed / DrChrono), Clearinghouses, Payer Portals, Practice VoIP System Primary Objective: Real-time visit live-coding, J-code processing, payment posting, and third-party billing agency liaison oversight Top 3 Daily Tasks Live Clinical Visit & J-Code Coding: Review clinical documentation in real time to code complex retina visits, surgical procedures, and intravitreal injectable drug J-codes using precise ICD-10 and CPT coding guidelines. Payment Posting & Discrepancy Auditing: Post payments accurately from ERAs/EOBs, reconcile accounts, and audit payment postings to uncover fee schedule discrepancies or coding-related claim rejections. Third-Party Billing Company Liaison Support: Work directly with the practice manager and outsourced billing agency to track unbilled encounters, resolve coding denials, push claim corrections, and report on pending revenue items. Core Responsibilities Ophthalmic & Retina Live-Coding (Primary Focus): Execute real-time CPT and ICD-10 coding for clinical encounters, retinal procedures, intravitreal injections, and specialized diagnostic testing. J-Code & Injectable Drug Management: Ensure precise coding and compliance for high-cost ophthalmic drugs and biologic injectables (J-codes), verifying unit quantities and modifier application. Documentation & Discrepancy Auditing: Audit provider chart documentation against submitted codes to capture unbilled services, catch clinical discrepancies, and ensure billing integrity prior to claim submission. Payment Posting & AR Audit: Post electronic and manual payments, identify line-item discrepancies, and address coding-related denials or payor bundling rejections. Outsourced Billing Agency Coordination: Serve as the practice’s primary contact for the third-party billing company—tracking claim transmission cadences, resolving coding edits, and holding external billers accountable. Administrative & Practice Manager Support: Own all coding workflows, deliver transparent weekly status reports on pending charts, and directly relieve administrative bottlenecks for clinic leadership. Requirements 5+ Years Ophthalmology Coding Experience: Extensive, proven background coding for an ophthalmology practice, with direct specialization in retina coding . Active Medical Coding Certification: Hold an active credential such as CPC (Certified Professional Coder), COC , CCS , or COA/OCP (Ophthalmic Coding Specialist). Live-Coding & J-Code Mastery: Demonstrated expertise in real-time live coding of provider notes and deep familiarity with J-codes / injectable drug coding . CPT & ICD-10 Expertise: Advanced knowledge of ophthalmic CPT codes, modifiers, ICD-10 diagnostic codes, and payor LCD/NCD coverage policies. Payment Posting & Billing Operations: Hands-on experience posting payments, analyzing EOBs/ERAs, and auditing claim denial patterns. Schedule Availability: Full availability to work 40 hours per week during Monday through Friday, 8:00 AM – 5:00 PM PST . Remote Workspace Setup: Dedicated, private home office with a lockable door, high-speed primary internet connection, backup power/internet solutions, a high-performance computer (PC/Mac), and a noise-canceling headset in full compliance with HIPAA rules. Preferred Qualifications Direct coding experience for intravitreal injections, retinal detachments, laser surgeries, and complex retinal imaging. Hands-on proficiency with ModMed (Modernizing Medicine / EMA) or DrChrono EHR systems. Prior experience coordinating workflows alongside an outsourced third-party billing agency. Experience directly supporting an ophthalmology practice manager or clinic director. Ideal Candidate Profile You are a master-level certified ophthalmic coder who thinks like a clinician and audits like a financial officer. You navigate retina CPT codes and J-codes with complete confidence, catch documentation errors in real time, keep payment posting tight, and seamlessly manage outsourced billing teams to ensure maximum practice reimbursement during PST business hours.

Location: Mexico; Argentina; Colombia; Guatemala; Honduras; Costa Rica About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an award-winning digital marketing agency based in Austin, Texas, specializing in comprehensive growth strategies for high-intent industries like home services, medical centers, and e-commerce. As a certified Google Partner, the team provides a holistic suite of services including SEO, PPC, web design, and email marketing. They are ROI-obsessed, focusing on measurable results rather than vanity metrics to help businesses scale their revenue and market share. Job Summary We are seeking a high-energy, bilingual (English/Spanish) Sales Development Representative to join a fast-growing digital marketing agency specializing in the home services industry. In this role, you will be the engine of the sales pipeline, connecting with business owners in the HVAC, roofing, and plumbing sectors to help them scale their operations through expert marketing solutions. If you are a persuasive communicator who thrives in a fast-paced environment and speaks both English and Spanish fluently, this is your opportunity to make a significant impact on a dynamic team. Key Responsibilities Conduct outbound prospecting to identify and engage potential clients within the home services niche. Manage high-volume outreach via cold calling, email, and social selling to book qualified appointments for the sales team. Educate business owners on the value of specialized digital marketing and how it drives lead generation for their specific trade. Qualify leads effectively to ensure a high conversion rate for the closing team. Maintain accurate records of all activities and prospect interactions within the CRM. Navigate conversations seamlessly in both English and Spanish to address a diverse market of business owners Requirements Proven experience in a BDR, SDR, or similar outbound sales role. Experience selling to or working within the home services industry (HVAC, Plumbing, Roofing). Fluency in both English and Spanish (written and verbal). Strong phone presence and the ability to build rapport quickly with busy trade professionals. Self-motivated, resilient, and driven by hitting and exceeding targets. Excellent organizational skills and the ability to manage a consistent follow-up cadence. Ability to work effectively in a fully remote environment. Nice-to-Haves Previous experience in digital marketing sales or a professional agency environment. Proficiency with modern CRM tools and sales engagement platforms. Benefits 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Argentina; Colombia; Mexico; Puerto Rico; Costa Rica; Peru About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an award-winning digital marketing agency based in Austin, Texas, specializing in high-impact growth strategies for diverse industries including home services, medical centers, and e-commerce. As a ROI-obsessed partner, the team provides a comprehensive suite of services including SEO, PPC, web design, and email marketing. They pride themselves on a holistic, data-driven approach that eschews vanity metrics in favor of tangible revenue growth and market share acquisition. Job Summary We are seeking a data-driven and results-oriented PPC Specialist to join an expanding digital marketing team. In this role, you will take full ownership of Google Ads strategy and execution across a diverse portfolio of client accounts. You will be responsible for driving measurable growth, optimizing ad spend, and ensuring that every campaign aligns with the overarching business goals of our clients. This is a critical hire for an agency that prides itself on technical excellence and high-performance digital marketing. Key Responsibilities Design, build, and launch comprehensive Google Ads campaigns from the ground up. Perform continuous account optimization, including keyword research, bid management, and A/B testing of ad copy and landing pages. Monitor daily performance metrics to ensure KPIs are met and budgets are paced correctly. Generate detailed reports that translate complex data into actionable insights for clients. Collaborate with the broader marketing team to ensure PPC strategies integrate seamlessly with other digital channels. Stay ahead of industry trends and platform updates to maintain a competitive edge for all managed accounts. Requirements Proven experience managing multiple Google Ads accounts, preferably within an agency environment. Deep technical proficiency in the Google Ads platform, including Search, Display, and Video. Strong analytical skills with the ability to interpret data and make data-backed decisions. Based in Latin America and able to work effectively within a remote, fast-paced setting. A proactive mindset with a focus on problem-solving and process improvement. Nice-to-Haves Google Ads Certifications (Search, Measurement, Display). Experience with Google Analytics 4 (GA4) and Google Tag Manager. Familiarity with other paid media platforms (Meta Ads, LinkedIn Ads, etc.). Experience working with clients in the US market. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Almaty, Kazakhstan Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a Middle Compass Payment Developer to join our team and provide exceptional customer support. Responsibilities Develop and enhance payment processes on Compass Payment Implement changes to existing payment flows Develop and maintain integrations between Compass Payment and external systems Ensure accurate transfer of payment data between systems Implement payment status handling and transitions between transaction states Develop error and exception handling, including repeated requests and non-standard processing scenarios Investigate and resolve issues affecting payment processes and integrations Participate in production incident investigations, analyzing logs and technical data to identify root causes Support testing and deployment of payment functionality Collaborate with QA engineers, analysts, architects, and other developers Participate in code reviews and technical discussions Improve the stability and reliability of payment processes Requirements Hands-on commercial experience with Compass Payment Experience developing and enhancing payment processes on the platform Experience integrating Compass Payment with external systems Understanding of payment solution architecture and operating principles Knowledge of the full payment transaction lifecycle, including statuses and state transitions Understanding of error handling, exception handling, and repeated request processing Experience troubleshooting payment infrastructure and investigating production incidents Ability to analyze logs and identify root causes of errors Experience working with APIs and system integrations Experience participating in releases of payment functionality Understanding of reliability and data accuracy requirements for financial transactions English level: A2+ Availability to work on-site at the client’s office in Almaty Nice to have Experience in banking, payments, or fintech projects

Location: Poland; Czechia; Bulgaria; Croatia; Romania; France 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 Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their work spans intelligent fraud detection, AML/KYC modernization, autonomous workflows, enterprise AI platforms, and the secure industrialization of AI in highly regulated environments. We are looking for an experienced Security Architect to lead the security approval and data-protection readiness of the solution. You will act as the main technical security contact with the client’s CISO, data-protection, and country security teams , covering cloud security, AI/LLM risk, penetration testing, secure data handling, and formal architecture approvals. CONTRACT: Contractor assignment, expected October 2026 – July 2027, with potential extension COMMITMENT: Full-time LOCATIONS: Central and Eastern Europe, EU-authorized, REMOTE PROCESS: Initial qualification followed by technical and client interviews NOTES: Fluent English is required. Responsibilities Review the end-to-end security architecture across identity, access, secrets, networking, data handling, and logging. Ensure sensitive and personal data are handled securely and are not exposed through logs or operational tooling. Prepare and drive formal security architecture approval and new-technology review processes. Support security reviews covering AI / LLM usage, web search, and new technology components . Coordinate penetration testing and follow up on remediation of findings. Support the Data Protection Impact Assessment (DPIA) and AI model-risk review. Define and agree data-handling principles with the client CISO, data-protection, and country security teams. Review cloud and application security controls across Azure, Databricks, APIs, and supporting services. Support secure delivery across development, testing, production, and country rollout environments. Act as the primary security point of contact between engineering teams and client security stakeholders. Requirements Strong experience in security architecture and approval processes within large regulated organizations. Strong hands-on knowledge of Azure security , including Entra ID, Key Vault, private endpoints, and Microsoft Defender. Experience with penetration testing, vulnerability management, and OWASP practices. Knowledge of OWASP security risks for LLM / AI applications . Experience with code and dependency scanning using tools such as SonarQube, JFrog Xray, or similar. Strong understanding of GDPR, data protection, privacy, and secure handling of personal data . Experience working with CISO, security governance, privacy, and engineering teams. Ability to communicate security risks and controls clearly to both technical and non-technical stakeholders. Highly preferred: Experience in insurance, banking, or other highly regulated environments .

Location: Belarus Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a Senior Full-Stack Engineer (React Native/Node.js) to join our team and provide exceptional customer support. Responsibilities Build and maintain React Native SDK functionality, including integration into partners’ existing native applications Design and implement BFF endpoints using Node.js and TypeScript, exposed through RPC APIs Investigate issues across the full request path, including the mobile client, network, BFF, and external services Review code and provide constructive, actionable feedback Participate in production incident response, analyze logs, and identify root causes Make pragmatic technical decisions while adapting to changing requirements and strict regulatory constraints Take ownership of features from initial requirements through production delivery Requirements 5+ years of commercial software development experience Strong React Native experience across Expo and bare workflows, including native module integration Strong TypeScript skills on both the client and server sides Experience developing Node.js BFF services using frameworks such as NestJS, Fastify, Hono, or Express Hands-on experience designing RPC-style APIs Solid SQL skills, including querying materialized views and retrieving data directly through SQL Experience with Git-based development workflows and regular code reviews Effective daily use of AI coding tools such as Claude Code, Cursor, or Copilot, with the ability to critically assess and verify generated output Product mindset, with the ability to understand business goals, constructively challenge requirements, and drive feature delivery Ability to take ownership and work effectively with evolving requirements English level: B2+ or higher Nice to have Experience embedding React Native functionality into existing native host applications Experience in fintech, banking, or other regulated environments Familiarity with OTA update tools such as Stallion, Hot Updater, CodePush, or Expo Updates Experience with Go

Location: Jeddah, Saudi Arabia; Al Khobar, Saudi Arabia; Riyadh Al Khabra, Saudi Arabia Eram Talent, a division of ERAM Group, is seeking a skilled Buyer to join our team in the Oil & Energy industry. As an independent Talent Acquisition Consultancy, Eram Talent is dedicated to providing outstanding recruitment solutions that satisfy the needs of our clients. With a global reach and network, we specialize in attracting high-potential professionals with sophisticated skills from various industries, including Oil & Gas, Petroleum, Infrastructure, Energy, Water, Transportation, Science & Technology, and Health Care. As a Buyer, you will play a pivotal role in the procurement process, ensuring that the company's purchasing activities run smoothly and efficiently. You will be responsible for sourcing and evaluating potential suppliers, negotiating contracts, and managing relationships with vendors. Your expertise in market trends and knowledge of industry regulations will contribute to optimizing our procurement strategies and achieving cost savings for the organization. This is an excellent opportunity for a detail-oriented individual with a strong analytical mindset and exceptional negotiation skills to make a significant impact within the Oil & Energy industry. Collaborate with internal stakeholders to determine procurement needs and develop sourcing strategies. Identify and evaluate potential suppliers, ensuring they meet the company's quality, cost, and delivery requirements. Conduct negotiations to secure favourable terms and conditions, including pricing, lead times, and payment terms. Manage supplier relationships, resolving any issues, and ensuring continuous improvement in supplier performance. Monitor market trends and industry developments to identify opportunities for cost savings and supplier diversification. Maintain accurate records of all procurement activities, contracts, and supplier information. Coordinate with other departments to ensure timely delivery of materials and services. Requirements Bachelor's degree in Business Administration, Supply Chain Management or a related field. Proven experience as a Buyer or in a similar procurement role within the Oil & Energy industry. Strong negotiation skills with a track record of securing favourable terms and conditions. Excellent understanding of procurement processes, including vendor selection, contract management, and supplier relationship management. Proficient in using procurement software and tools. Strong analytical and problem-solving skills. Exceptional communication and interpersonal skills.

Location: Cambridge, United States D-ploy is an IT and Engineering Solutions company operating across Europe and the United States. We deliver innovative and reliable IT services to clients across various industries, helping businesses maintain efficient, secure, and high-performing technology environments. We are looking for a skilled and motivated Lab IT Support Specialist to join our team in Cambridge, Massachusetts. In this role, you will provide hands-on technical support for laboratory IT systems, scientific instruments, and associated infrastructure within a dynamic life sciences environment. You will work closely with scientists, laboratory operations, IT teams, and external vendors to ensure the reliability, security, and smooth operation of laboratory technology. Tasks and Responsibilities Provide hands-on IT support and troubleshooting for laboratory instruments, connected workstations, and associated computer systems. Install, configure, maintain, and upgrade Windows-based workstations and laboratory IT equipment. Troubleshoot network connectivity, software, hardware, and communication issues between laboratory instruments, servers, and IT infrastructure. Support specialized laboratory applications, including Waters Empower, Incucyte, and related scientific software. Manage laboratory data archiving, backups, access permissions, and system maintenance activities. Provide technical assistance during laboratory equipment installations, relocations, upgrades, and replacements. Configure, maintain, and troubleshoot tablets and peripheral devices used in laboratory workflows. Collaborate with scientists, laboratory personnel, corporate IT teams, and external vendors to resolve technical issues. Maintain accurate documentation of system configurations, troubleshooting procedures, and IT support activities. Ensure laboratory IT systems comply with applicable security, data integrity, and operational requirements. Provide general onsite IT and end-user support when required. Requirements Minimum 2 years of experience working in or providing IT support to a laboratory environment. Experience supporting Windows-based workstations and servers, preferably within pharmaceutical, biotechnology, or scientific research environments. Strong hardware, software, and network troubleshooting skills. Experience supporting computers and IT systems connected to laboratory instruments. Knowledge of network connectivity, access management, and IT infrastructure. Experience installing, configuring, maintaining, and upgrading computer systems. Ability to troubleshoot technical issues independently and provide hands-on onsite support. Experience working with laboratory personnel, IT teams, and external vendors. Strong communication, problem-solving, and organizational skills. Ability to maintain technical documentation and follow established IT support procedures. Fluent in English. Valid criminal record extract, not older than three months, required. Nice to have Experience supporting laboratory applications such as Waters Empower, Incucyte, LIMS, or ELN . Familiarity with GxP-regulated laboratory environments. Experience with scientific data management, archiving, backups, and data integrity requirements. Knowledge of validated laboratory systems and change control processes. Experience supporting specialized laboratory peripherals, including Zebra or Brady label printers. Previous experience in the pharmaceutical, biotechnology, or life sciences industry. Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Sweden; Finland; Norway; Denmark About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Engagement: Independent Contractor Languages: Fluent Swedish & English About the Company Our client is a high-growth sales acceleration partner specializing in outsourced sales development and lead generation for complex B2B markets. With over a decade of expertise, the team supports ambitious brands across the UK, Europe, and North America by managing high-value sales cycles in sectors such as FinTech, HealthTech, and Manufacturing. They combine a consultative, question-based methodology with a modern tech stack and AI-driven insights to transform lead flow into tangible revenue. Job Summary Are you a multilingual sales professional looking to build a career within a globally recognized sales acceleration firm? This team has spent the last years perfecting the art of outsourced sales, providing high-growth companies with the strategy and execution they need to scale. We are seeking a determined, coachable SDR to act as the frontline for our clients, breaking into new markets across Europe and driving meaningful business opportunities. If you thrive in a structured, high-performance environment and want to be mentored by the best in the business, this is the role for you. Key Responsibilities Execute high-volume outbound prospecting, averaging 50 calls per day to engage key decision-makers. Manage the full top-of-funnel sales cycle, from initial research and outreach to qualifying interest. Consistently achieve a target of 10 qualified outbound opportunities per month. Utilize Salesforce to maintain meticulous records of prospect interactions and pipeline health. Collaborating with internal teams to refine messaging based on market feedback and cultural nuances. Requirements Professional fluency in English AND one of the following languages: Swedish, Polish, or Czech. Proven experience in a Sales Development Representative (SDR) or high-volume outbound role. Ability to work UK business hours (9:00 AM – 5:00 PM GMT) regardless of your physical location. Exceptional communication skills with the ability to build rapport quickly over the phone. A curious and coachable mindset, with a desire to master proven sales methodologies. Self-motivated and determined to hit and exceed performance KPIs. Nice-to-Haves Prior experience working within an outsourced sales or agency environment. Advanced proficiency in Salesforce or similar CRM platforms. Experience selling technology or professional services. Benefits 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Abu Dhabi, United Arab Emirates; Dubai, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Ajman, United Arab Emirates; Sharjah, United Arab Emirates Apt Resources is currently seeking an experienced CDP/Commis Chef specializing in Multi Cuisine to work at a prestigious Royal Palace in Abu Dhabi. This unique opportunity allows you to showcase your culinary skills in a regal setting, where you will prepare exquisite dishes that meet the highest standards of culinary excellence. If you're passionate about food, thrive in a fast-paced environment, and have a flair for creativity, we invite you to join our elite kitchen team. Responsibilities Prepare and cook a variety of high-quality hot dishes from different international cuisines based on established recipes and standards. Assist in the development of menus and contribute to daily specials to enhance guest experiences. Ensure the efficient operation of the kitchen section while managing and mentoring junior staff. Oversee food presentation, ensuring that all dishes are plated beautifully and consistently. Monitor inventory levels, assist with supply ordering, and maintain food safety and quality standards. Work harmoniously with the Executive Chef, Sous Chef, and the kitchen team to manage kitchen flow and ensure timely service. Adhere to hygiene and safety standards in line with industry regulations. Requirements 3+ years of experience as a Chef De Partie in a high-volume, fine dining, or luxury hospitality environment, specializing in hot multi cuisine. Culinary degree or relevant certification is strongly preferred. Extensive knowledge of various international cuisines and cooking techniques. Ability to work under pressure in a high-paced environment with a keen attention to detail. Excellent communication and leadership skills, with the capacity to train and inspire junior kitchen staff. Strong organizational skills and a proactive approach to kitchen operations. Flexibility to work various shifts, including evenings, weekends, and holidays. Must be in UAE Benefits The basic salary is AED 4,000-5,000 plus Accommodation, Food, and other benefits as per UAE labor Law.

Location: United States; Canada; Australia; New Zealand; United Kingdom 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: Singapore; Malaysia; Philippines; Indonesia; Thailand; Vietnam 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: United States; Canada; New Zealand; Australia; United Kingdom 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 Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: Singapore; Malaysia; Philippines; Indonesia; Vietnam; Thailand 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 Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: United States; Canada; Australia; New Zealand; United Kingdom 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 Job We are looking for accomplished Competitive Data Scientists, Machine Learning Engineers, and Applied Mathematics Specialists with a proven track record in data science competitions, particularly on Kaggle and similar platforms. This opportunity is designed for candidates who have achieved at least Kaggle Expert ranking, including Masters and Grandmasters, and can demonstrate strong practical skills in machine learning, statistical modeling, quantitative reasoning, and programming. You will use your competition experience to design challenging, reproducible technical tasks that require genuine problem-solving rather than plausible-looking answers. Your work will involve building execution environments, implementing verified reference solutions, developing reliable evaluation criteria, and testing how AI Coding Agents perform against complex data science challenges. A verifiable Kaggle profile with Expert, Master, or Grandmaster ranking is a key qualification. Strong practical coding and debugging abilities are essential. Previous AI training experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. PROJECT: AI training focused on competitive data science, machine learning, and reproducible technical problem-solving. AI EXPERIENCE: Not required. Key Responsibilities Design challenging data science and machine learning tasks inspired by real-world problems and competitive data science scenarios. Build reproducible execution environments, prepare datasets, configure dependencies, and implement verified reference solutions. Develop automated tests and evaluation criteria that distinguish correct solutions from incomplete, incorrect, or unreliable approaches. Use coding agents to execute assigned tasks, investigate their failures, and evaluate their problem-solving capabilities. Identify implementation errors, flawed assumptions, data leakage, statistical inconsistencies, and other issues affecting solution correctness. Apply competitive data science techniques and mathematical reasoning to validate solutions. Ensure tasks have clear requirements, reliable expected outputs, and reproducible verification procedures. Refine task difficulty and evaluation methods based on observed coding-agent performance. Document task specifications, solution methodologies, technical reasoning, and verification steps. Review and improve task quality to ensure scientific and computational accuracy. Requirements Demonstrated experience in competitive data science, machine learning, quantitative modeling, or applied mathematics. Kaggle profile with at least Expert ranking (Master or Grandmaster ranking strongly valued). Ability to provide a verifiable Kaggle profile demonstrating competition achievements and ranking. Strong understanding of machine learning, statistical modeling, data analysis, and quantitative problem-solving. Practical programming ability, particularly in Python. Ability to independently implement, test, debug, and verify data science solutions. Experience working with datasets, computational environments, and relevant machine learning libraries. Strong analytical reasoning and the ability to explain technical decisions. Ability to identify data leakage, implementation flaws, and methodological errors. Excellent written communication and technical documentation skills. Professional English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.