Location: Барнаул
Workplace: В офисе
О компании
Блок по телекоммуникационному бизнесу B2C объединяет два больших направления: мобильную связь и фиксированный бизнес. Это корневые продукты экосистемы МТС. Здесь сотрудники занимаются разработкой и продвижением продуктов в разных каналах: как в традиционной оффлайн-рознице, так и онлайн.
Мы ищем специалиста, благодаря которому клиенты смогут подключить домашний интернет и ТВ быстро и в удобное время.
Обязанности
обрабатывать заявки на проведение монтажных работ и устранение аварий;
координировать работу монтажников;
оформлять документы для подключения интернета и ТВ;
работать с оборудованием по списанию в сервисный центр.
Требования
внимание при работе с документами;
умение устанавливать контакт с людьми;
внимание к деталям в работе.
Условия
оформление в штат компании;
совокупный доход: оклад +премия;
график 2/2 с 09.00 до 21.00;
ДМС с первого месяца работы, включая стоматологию. А еще оплачиваем 50% стоимости полиса ДМС для родственников;
страхование от несчастных случаев с 1 месяца работы. Материальная помощь в сложных жизненных ситуациях;
прием врачей общей практики в офисе. Консультация психологов и программа поддержки сотрудников;
отпуск 28 календарных дней + 3 дня за ненормированный рабочий день;
компенсация расходов на выбор сотрудника, например, на спорт, ипотеку или питание. Специальные предложения от партнеров и скидки от продуктов экосистемы МТС;
мобильная связь за счет компании и льготные тарифы для близких;
подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети;
собственный корпоративный университет, онлайн-библиотека и оплачиваемое внешнее обучения для карьерного развития;
развитие в командах профессионалов, которые готовы делиться опытом;
волонтерское движение, поддержку хобби и интересов сотрудников.
Location: Remote - Latin America; Remote- United States
Workplace: Remote
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring an Implementation Specialist to get customers live and seeing results fast, then keep them growing. Here, implementation doesn't end at go-live. You stay with your customers through renewal and expansion as their trusted advisor.
This role is built for someone early in their career (0-1 years of experience), and new grads are welcome. You'll ramp alongside me and experienced teammates, then take ownership of your own customers as you prove you're ready.
WHY I'M HIRING
At Whippy, we view Customer Success as a revenue engine, not a cost center, because if customers don't get value from a tool, they'll leave. Whippy has six incredible products today because we've always built alongside our customers. That's how we evolved from a simple texting platform to now powering calls, texts, email, AI agents, and complex messaging and business automations for over 1,000 businesses. We ship fast to meet our customers' needs.
Most customers start with one use case, like a staffing firm using an AI voice agent to screen candidates. They stay and grow because they see real ROI, then expand use cases until Whippy becomes the infrastructure their business runs on. Your job is to drive that growth: make their first outcome happen during onboarding and implementation, uncover the next problem, and help them get even more value.
In this role, you'll mainly work with customers in the staffing industry. Their data flows into Whippy from their ATS, most often TempWorks, Avionte, Aqore/Zenople, Crelate, or Bullhorn, so you'll learn how staffing firms recruit and place talent, and how to build on top of their data.
Our customer success team has taken staffing customers from an initial $12K deal to $180K ARR because customers like Your Employment Solutions https://www.linkedin.com/company/your-employment-solutions/ are getting over $1M in ROI using Whippy to augment their teams and beat the competition.
You'll help us grow more customers by deeply understanding their desired outcomes, helping them achieve those outcomes, and providing an exceptional experience along the way.
This is one of those rare jobs with massive growth and learning opportunities: there's no bureaucracy here, and we're still early in building a world-class customer success team. You'll have a crucial role to play, and fresh ideas, feedback, and experimentation are always encouraged because we double down on wins and quickly pivot when ideas don't work out.
You'll work alongside our six-person customer success team and report directly to me. I'll provide the support, coaching, tools, and data to do the best work of your career here, plus the variable comp to get well rewarded when you deliver results.
I'm looking for someone who wants to be technical, strategic, and commercial, all in one. Technical as in you enjoy mastering the product and finding the best solutions for our customers. Strategic as in you deeply understand your customers' pain points and always have a plan to solve them. Commercial as in you have pricing awareness and understand the retention and expansion risks and opportunities in your book.
SOME THINGS YOU'LL DO
- Lead onboarding and implementation end to end: kickoff, ATS integration, configuration, training, and launch.
- Get customers to their first measurable outcome fast, then build the next workflows, AI agents, and automations that grow their results.
- Stay on after launch as their single point of contact and trusted advisor, with a proactive cadence of prepared calls, clear agendas, and mutual success plans through renewal and expansion.
- Learn fast. Shadow calls, get hands-on coaching from me, and take on more ownership every month.
- Pick up the phone. Reach out proactively, ask the question instead of guessing, and get ahead of problems before they turn into escalations.
- Own your gross and net revenue retention, and get rewarded for beating targets.
- Tie usage to business outcomes, and report value back in the metrics customers actually care about.
- Spot expansion signals and hand warm leads to sales when usage outgrows the contract.
- Turn wins into case studies, references, and testimonials that help sales win the next customer.
- Tell customers the truth, steering them away from work that won't move their business and toward the work that will.
- Advocate for the customer. Feed what you hear to product, sales, and engineering so we build the right things.
- Experiment and iterate. If you have an idea to do something better, do it and document what you learn.
OUR CUSTOMER SUCCESS VALUES
This is a high-performance environment, and I'll coach and support you through it. You'll be challenged, coached, and you'll always know where you stand. CS is a team sport, so it's okay to ask for help, experiment, fail, and pivot. A few things that are true here:
- Everyone is a builder. Our team builds in the product without engineering, and the best product ideas come from you, the person closest to the customer. We use AI to move fast, but we own our work, verify every fact, and don't ship slop.
- We lead with expertise, not order-taking. We get curious about the why behind every request, and we say no when no is the right answer.
- We work like owners, not clock-watchers. We care about outcomes, not hours. We take initiative, pick up the phone, and work obsessively on the problem in front of us.
- CS is a revenue engine, not a cost center. We treat it as the growth engine of the company and pay for results.
WHAT WE'RE LOOKING FOR
- Communication above all. This is the number one predictor of success in this role. You overcommunicate by default with customers, your team, and me. You're clear in writing and on calls, you set expectations, and you never leave people guessing.
- Fast and proactive. You process information quickly, ask for what you need instead of waiting, and show up to every call prepared.
- Curious, coachable, and low-ego. You're a fast learner who wants feedback, digs into the why behind every request, and gets better quickly.
- Comfortable getting technical. You don't need to code, but you're the kind of person who enjoys taking a tool apart, figuring out how it works, and building something useful with it.
- Strategic and commercial. You see usage and growth, not just tickets, and you're comfortable owning a number and an upgrade conversation.
- Opinionated about customer experience. Good strategic advice needs well-formed views, so have them.
- Self-directed. You take initiative, stay organized without being told, and run your own book without anyone managing your calendar. Calm under pressure.
- 0-1 years of experience, and new grads are welcome. A STEM or technical degree, or something that shows you're entrepreneurial (you started, built, or ran something), matters more to us than past job titles. Experience training people or setting up software for a team is a plus.
- Bonus points for experience in the staffing industry or with TempWorks, Avionte, Aqore/Zenople, Crelate, or Bullhorn.
- Based in Latin America or the US, with fluent written and spoken English, and able to work Eastern hours (we start at 8am ET).
YOU'LL THRIVE HERE IF...
- You're technical and love to build.
- You're entrepreneurial. You treat your accounts like your own business and get energy from building from scratch.
- You're a consultative problem solver. You dig into the why behind what a customer asks and recommend the right solution, even when it's not the one they came in asking for.
- This sounds like fun to you: a customer wants to launch a complex, time-sensitive campaign across calls and texts, isn't sure how to structure it, and their team is stretched thin. You roll up your sleeves, map their goal to the product, and build it with them.
- You thrive in a fast, evolving startup and you're excited to help build a customer success program from the ground up.
ABOUT WHIPPY
Whippy is a communication, automation, and AI agent platform. You reach customers across calls, texts, and email, at scale through personalized blasts and automated drips, with every message landing in one shared inbox. Replies get auto-assigned to a teammate, picked up by an AI agent, or carried forward by an automation. Once a conversation wraps, Whippy pushes the data you care about back into your systems in the exact format you need. It's true two-way dialogue on every channel that cuts the repetitive work and frees teams to focus on the human work that drives revenue, without adding headcount.
We're industry agnostic, with our biggest wins so far in staffing, healthcare, and other in-person businesses going through digital transformations. We're bootstrapped, profitable, and growing fast, with over 1,000 businesses using Whippy worldwide. In staffing alone, we've helped firms cut screening costs by 95% and save over a million dollars a year.
Whippy was founded in 2021 by CEO David Daneshgar and CTO Jack Kennedy. Jack is an engineering machine and a marathon runner. David started BloomNation in 2011 after winning $27,205 in a poker tournament, grew it into a platform generating billions in sales for florists, then left to build something bigger with Jack.
Location
This is a remote role open to candidates based anywhere in Latin America or the US. Our workday starts at 8am ET, so you'll need to work Eastern hours.
Compensation
Competitive compensation based on experience, including monthly performance bonuses and more.
Hiring Process
1. A 30-minute call with me to get to know each other better.
2. You'll receive a take-home assignment that assesses your technical and strategic skills, and you'll present it to me on a one-hour call. This is your chance to showcase your skills.
3. A 30-minute call with our CEO, David.
УдалённоRemote - Latin America; Remote- United States; This is a remote role open to candidates based anywhere in Latin America or the US
Location: Lima, Peru
Workplace: hybrid
We are looking for a RH Area Specialist in Peru. This position owns strategic, revenue, demand and expansion-driving initiatives with a high degree of autonomy: defining priorities, leading projects end to end, analyzing results, and being responsible for all projects that are key to business growth, while guiding peers and turning advanced analysis into decisions that shape the business across the country.
Key Responsibilities
Support the planning, coordination, and execution of ride-hailing projects across cities in Peru, ensuring timely delivery and alignment with business objectives.
Coordinate cross-functional initiatives involving Driver Operations, Safety, Marketing, Fintech, Marketplace Efficiency, and Support teams.
Track project milestones, deliverables, timelines, and KPIs, proactively identifying potential risks and execution gaps.
Monitor operational performance and customer satisfaction metrics, identifying improvement opportunities and supporting corrective actions.
Facilitate regular cross-functional meetings, prepare progress updates, and follow up on action items to ensure accountability and execution.
Analyze operational data to prepare reports, identify trends, and provide actionable insights to support business decisions.
Assist in the implementation and scaling of operational initiatives, new products, and local partnerships.
Skills, Knowledge and Expertise
3+ years of experience in project coordination, operations, business analysis, or related roles. Experience in ride-hailing, delivery, mobility, or technology companies is a plus.
Experience supporting cross-functional projects, tracking deliverables, and coordinating with multiple stakeholders.
Familiarity with project management methodologies and tools (e.g., Jira, Trello, Asana) is desirable.
Strong organizational and project management skills, with the ability to prioritize tasks, manage timelines, and follow up on multiple initiatives simultaneously.
Analytical mindset with proficiency in Excel or Google Sheets. Basic SQL knowledge is a plus.
Familiarity with AI tools (e.g., ChatGPT, Claude) to support reporting, research, workflow automation, and productivity.
Good verbal and written communication skills in English and Spanish.
Proactive, detail-oriented, and solution-focused, with strong stakeholder coordination and problem-solving abilities.
Ability to work in a fast-paced environment and adapt to changing business priorities.
Bachelor's degree in Business Administration, Economics, Industrial Engineering, Operations Management, or a related field.
Conditions & Benefits
Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Please note: final benefits may vary by location — country.
Location: Perth, Australia; Kuala Lumpur, Malaysia
We are?
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.
For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle – offshore and on land.
We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions.
Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves – all designed to help our clients optimize performance, enhance reliability, and improve efficiency.
With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.
The role?
An exciting new permanent role has arisen for a Senior Contracts Specialist to join our Commercial team here at EnerMech.
This role is full time and will be primarily based in our offices in Perth. Hybrid or remote working may be considered for the right candidate but regular attendance at our office will be required to ensure adequate integration and support to the business.
Reporting to the Contracts Manager, you will be a key member of the Commercial Team. You will be primarily responsible for the review, qualification and negotiation of a diverse range of contractual agreements and commercial arrangements in support of our global operations. The role is primarily focused on ensuring that business risks and contractual liability are suitably managed in accordance with the company’s contracting policy. Main duties and responsibilities will include;
Providing specialist contract expertise in support of EnerMech’s contracting and tendering activity within UK and Europe across all of EnerMech’s service lines
Draft legal contractual wording for qualifications to client contracts in line with EnerMech Contracting Policies
Provide risk reviews and requests for approvals for deviations to EnerMech standard contracting position
Providing sound contractual advice as necessary to the business including the Executive and Regional management teams, Business Lines, Supply Chain and Project teams.
Formally presenting contractual positions and strategies at regional and board level approval meetings as required
Undertaking all contract administration tasks including preparing contractual documentation for execution and the maintaining of complete records.
Preparing commercially thoughtful qualifications to contract in alignment with contracting policy and relevant risk factors
Engaging with key internal stakeholders in the review of contractual positions and seeking necessary Legal/Tax/Insurance advice and input as may be necessary.
Confidently conducting client facing contract negotiations to secure the best possible position for EnerMech in accordance with company procedures and approval levels.
Adding value and support in any Project handover / kick off meeting with the operations and project team to ensure project get off to the best possible start.
Provide all necessary assistance and support in the early resolution of contractual issues and disputes.
Assisting the Contracts Manager in implementing strategic business improvement measures and developing policy and processes.
You are?
To be successful in this position you will have the following;
Be a driven self-starter driven by achieving team success and striving to make improvements
At least 5 years’ previous relevant experience in a similar specialised Contracts role within the oil and gas or construction industries. Although those with relevant transferable experience and skills from other industries and sectors may be considered
Proven ability to manage completing workload requirements and ability to prioritise tasks and meet internal and external deadlines
Be familiar with negotiating key contractual terms and the intricacies of liability, indemnity and warranty provisions and have an excellent attention to detail
A background in commercial and contractual drafting and negotiation
Excellent interpersonal skills and be able to communicate and influence persons at all levels
Hold a degree in Quantity Surveying or Law or similar
Experience in working with LOGIC and NEC contracting forms would be advantageous
Diversity & Inclusion
At EnerMech we want to create a diverse and inclusive organisation and grow together to make a vibrant business. We are not there yet, but the desire is steadfast, so please consider a career with us in an organisation where differences in background, culture, education, working style and less obvious differences are respected and celebrated.
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: Ukraine
Intetics, глобальна технологічна компанія, що надає послуги з розробки програмного забезпечення на замовлення, створення розподілених команд, оцінки якості програмних продуктів та all-things-digital рішень, зараз у пошуках
Incident Editorial Specialist
до нашої команди!
Приєднуйтесь до редакційної команди та працюйте з редагуванням дорожніх інцидентів у реальному часі для глобальної картографічної платформи.
Попередній досвід не потрібен
- ми надаємо повне навчання. Це чудова можливість розпочати кар’єру в IT та отримати досвід роботи на міжнародних проєктах.
Варіанти змін:
- Денна (12:00-20:00)
- Денна part-time (11:00-16:00)
- Нічна (21:00-5:00)
- Нічна (22:00-6:00)
- Нічна (00:00-8:00)
Requirements
Рівень англійської від B1+
Висока уважність до деталей, особливо в умовах обмеженого часу
Впевнена робота з кількома вкладками/вікнами, швидкий набір тексту
Пунктуальність, зосередженість і надійність
What you will do:
- Моніторинг та оновлення інформації про дорожньо-транспортні пригоди у визначених регіонах
- Робота з даними в режимі реального часу з кількох джерел
- Запис важливих деталей, такі як місцезнаходження, напрямок та інші.
- Оновлення інцидентів у міру зміни умов
- Закриття інцидентів після їх вирішення та підтвердження
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: 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.
ГибридLima, Peru
seniorPerth, Australia; Kuala Lumpur, Malaysia
УдалённоArgentina; Colombia; Mexico; Puerto Rico; Costa Rica; Peru
Cambridge, United States
УдалённоseniorUnited States; Canada; Australia; New Zealand; United Kingdom
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