Location: United States
Teach English Online!
Stable Class Hours = Stable Income
Fixed Student & Teacher pairing
Long-term employment only! (1 year+)
About YiYiEnglish:
Since 2017, YiYiEnglish has been providing high quality English lessons to students in China. Our goal is to provide an excellent, accessible educational opportunity to our students. If you’re a qualified teacher who has a passion for teaching, you’ve found the perfect place!
Working With YiYiEnglish:
YiYiEnglish puts the upmost care and attention to our teachers. We will be alongside you every step of the way from the application process to our boot camp to your very first student and beyond. Our business practice requires close collaboration with teachers, so you’ll have your own dedicated associate to ask questions to, receive feedback from, and to discuss student related topics.
All of our students subscribe to a regular schedule. This means that our teachers will have a consistent schedule that will be stable throughout your contract with us. This will allow teachers to build relationships with their students to better understand their strengths, weaknesses, learning styles, and interests in order to provide the best learning outcomes possible. Regular students also provides teachers with financial security since your weekly schedule will be consistent and reliable. Because of our model of pairing students with teachers, all of our teachers need to have stable, fixed schedules throughout your contract with us. No more stressing about your schedule each day!
Teaching Philosophy:
Learning matters, it’s important. Educational progress, development, and success are a priority at YiYiEnglish. We genuinely care whether students learn, hone, and master English. We understand the burden of responsibility of introducing young students to English. It’s our collective responsibility to provide our students with a warm, caring, and judgement free learning space so they can develop a love for English. If done properly, the impact that we can make on our student’s lives can be consequential and life changing. If you share our passion for teaching then YiYiEnglish is the perfect place for you!
Who We’re Looking For:
YiYiEnglish relies on our teachers to exemplify our teaching philosophy. We want teachers who genuinely care about their students. We want teachers who take their work seriously and who can show that they are responsible and passionate teachers.
Native or near native pronunciation
Great communication skills
Commitment to responsibility
Experience working in English as a Second Language (ESL/TESL) preferred
High-speed internet connection
Access to a HD camera and mic
Bachelors degree
TEFL/TESOL/CETL or equivalent
[REQUIRED] Fixed schedule for a minimum of 6 months
Our Application Process:
Complete your online job application.
Complete an initial set of video questions.
Conduct a live demo lesson to showcase your skills.
Sign a contract and start teaching!
Make good money, working from home with a flexible schedule.
We want teachers to give one-on-one online English lessons, in one-hour sessions.
Enthusiastic candidates who like working with kids are encouraged to apply. No teaching experience required.
We provide teachers with a state-of-the art lesson plan. Just bring your computer and headset, your energy, and we'll do the rest!
This is a part time, remote role.
Submit your application today!
Requirements
* Most US-based teachers work in the morning or on the weekends.
*Dependability.
*Good communication skills.
*An interest in teaching or working with children.
*Able to use a computer well enough to surf the web.
*High-speed internet connection.
Our mission at YiYi English is to provide the highest quality English lessons to eager students in China. Our teachers offer one-on-one lessons to children ages 5-15. We are looking for enthusiastic teachers to help our students achieve their educational goals. Our teachers work from home and connect with students online over video.
Location: Minsk, Belarus
Teach English Online!
Stable Class Hours = Stable Income
Fixed Student & Teacher pairing
Long-term employment only! (1 year+)
About YiYiEnglish:
Since 2017, YiYiEnglish has been providing high quality English
lessons to students in China. Our goal is to provide an excellent,
accessible educational opportunity to our students. If you’re a
qualified teacher who has a passion for teaching, you’ve found the
perfect place!
Working With YiYiEnglish:
YiYiEnglish puts the upmost care and attention to our teachers. We
will be alongside you every step of the way from the application process
to our boot camp to your very first student and beyond. Our business
practice requires close collaboration with teachers, so you’ll have your
own dedicated associate to ask questions to, receive feedback from, and
to discuss student related topics.
All of our students subscribe to a regular schedule. This means that
our teachers will have a consistent schedule that will be stable
throughout your contract with us. This will allow teachers to build
relationships with their students to better understand their strengths,
weaknesses, learning styles, and interests in order to provide the best
learning outcomes possible. Regular students also provides teachers with
financial security since your weekly schedule will be consistent and
reliable. Because of our model of pairing students with teachers, all of
our teachers need to have stable, fixed schedules throughout your
contract with us. No more stressing about your schedule each day!
Teaching Philosophy:
Learning matters, it’s important. Educational progress, development,
and success are a priority at YiYiEnglish. We genuinely care whether
students learn, hone, and master English. We understand the burden of
responsibility of introducing young students to English. It’s our
collective responsibility to provide our students with a warm, caring,
and judgement free learning space so they can develop a love for
English. If done properly, the impact that we can make on our student’s
lives can be consequential and life changing. If you share our passion
for teaching then YiYiEnglish is the perfect place for you!
Who We’re Looking For:
YiYiEnglish relies on our teachers to exemplify our teaching
philosophy. We want teachers who genuinely care about their students. We
want teachers who take their work seriously and who can show that they
are responsible and passionate teachers.
Native or near native pronunciation
Great communication skills
Commitment to responsibility
Experience working in English as a Second Language (ESL/TESL) preferred
High-speed internet connection
Access to a HD camera and mic
Bachelors degree
TEFL/TESOL/CETL or equivalent
Our Application Process:
Complete your online job application.
Complete an initial set of video questions.
Conduct a live demo lesson to showcase your skills.
Sign a contract and start teaching!
Make good money, working from home with a flexible schedule.
We want teachers to give one-on-one online English lessons, in one-hour sessions.
Enthusiastic candidates who like working with kids are encouraged to apply. No teaching experience required.
We provide teachers with a state-of-the art lesson plan. Just bring your computer and headset, your energy, and we'll do the rest!
This is a part time, remote role.
Submit your application today!
Requirements
* Most US-based teachers work in the morning or on the weekends.
*Dependability.
*Good communication skills.
*An interest in teaching or working with children.
*Able to use a computer well enough to surf the web.
*High-speed internet connection.
Our mission at YiYi English is to provide the highest quality English lessons to eager students in China. Our teachers offer one-on-one lessons to children ages 5-15. We are looking for enthusiastic teachers to help our students achieve their educational goals. Our teachers work from home and connect with students online over video.
Location: Hong Kong
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
The Production Engineering (desk aligned) team is looking out for a senior, hands-on engineer ready to take on team leadership responsibilities while remaining technically engaged in day-to-day production support and development. In this role, you will manage and mentor a small team of Production Engineers, act as the primary escalation point for critical issues, and shape the team's processes, standards, and technical direction while working directly on production systems alongside the team.
Key Responsibilities
Team Leadership & People Management
Lead, mentor, and develop a team of Production Engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Own staffing needs for the team, including participating in hiring, onboarding, and training of new team members.
Set priorities, allocate workload, and coordinate on-call/shift coverage (including evenings and weekends) to ensure adequate support across trading hours.
Conduct regular 1:1s, performance reviews, and career development conversations with team members.
Act as the primary point of escalation for critical production incidents, ensuring timely communication to senior stakeholders and global teams.
Represent the team in discussions with global engineering, trading, and business stakeholders, and act as a bridge between local team execution and global strategy.
Drive the team's roadmap for automation, tooling, and process improvement in partnership with global leads.
Production Support
Act as a first point of contact for the desks, remaining hands-on in providing comprehensive user and system support across all technology streams.
Handle desk BAU requests, liaising closely with Dev teams and Core teams to scope, prioritize, and deliver fixes or enhancements.
Own desk inventory management and infrastructure management for the desks, ensuring systems and inventories are accurate and well maintained.
Monitor, maintain, and troubleshoot production systems to ensure stability and reliability, with particular emphasis on data platforms and processes.
Lead the response to major incidents and urgent requests, including monitoring and triaging, diagnosing and resolving (or directing resolution of) issues affecting data flows, trading applications, and related infrastructure.
Perform and oversee daily health checks and desk-targeted monitoring (dedicated view / Front2Back view / etc.) of trading and data systems before market open, ensuring all components are operational.
Manage and support static and dynamic databases, including troubleshooting data integrity issues and performing routine maintenance.
Coordinate with development and business teams to resolve "pretrade" related issues and implement fixes or enhancements.
Own release management activities for the team, coordinating releases with Dev teams including deployment, verification, and rollback procedures for data and trading applications.
Ensure team documentation is maintained and kept current for operational procedures, incident response, and data workflows.
Ensure team compliance with internal controls, regulatory requirements, and best practices for data management and system support.
Lead root cause analysis and post-incident reviews, driving continuous improvement of data stream reliability and performance.
Collaborate with global support teams to share knowledge, escalate issues, and drive resolution of complex, cross-regional data stream problems.
Development & Automation
Set technical direction for and personally contribute to automation tools that streamline operational workflows across the team.
Design, build, and review scripts and applications for data quality checks, monitoring, alerting, and recovery processes.
Drive adoption of best practices in coding, testing, and deployment within the team.
Lead or contribute to projects involving cloud technologies, CI/CD pipelines, and performance optimization.
Evaluate new tools and technologies that could improve team efficiency and system resilience.
Required Skills & Experience
15+ years in a technical support role, ideally within trading/market access, with at least 3-4 years of experience leading or mentoring a team (formally or informally).
Proven ability to manage people and priorities in a fast-paced, high-pressure environment while staying technically hands-on.
Experience with Python, Bash and PowerShell scripting (with or without Copilot).
Experience with Windows desktop/server and Linux OS administration.
Strong relational database skills (SQL Server, Postgres).
Experience supporting trading platforms and infrastructure.
Strong problem-solving, business analytics, and decision-making capabilities under pressure.
Ownership mindset with a strong commitment to issue resolution and team accountability.
Excellent written and oral communication skills, with experience presenting to senior stakeholders.
Preferred Attributes
Experience building, growing, or stabilizing a support/engineering team, ideally in a regional office setting.
Motivated to support diverse technology streams and help the team learn new domains.
Ability to work independently and as part of a global team, while being the clear point of accountability locally.
Proactive in identifying opportunities for automation and process improvement, both for self and team.
Comfortable balancing people-management duties with hands-on technical work.
Experience with AWS/cloud platforms, cloud monitoring and automation.
Experience with Crypto asset, Crypto market.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available location:
Singapore
Cloudflare is one of the most dynamic and innovative companies providing services on the Internet. Regulation of the Internet is exploding -- across a number of subject areas and jurisdictions -- at a rate previously unseen in the history of the Internet. We’re looking for a new team member who can help foster and promote our corporate philosophy and approach, in which the security and privacy of our customers are paramount.
We are looking for an exceptionally talented and energetic person to join our Public Policy team in Singapore, with a strong background in India policy. You will work on some of the most complicated and rapidly evolving policy issues in the world, such as content moderation, user privacy, and intermediary liability, and you’ll help us develop and communicate real-world solutions to addressing these challenges. You will also build and run programs that further Cloudflare’s reputation and standing in the region by partnering with governments, trade bodies, and civil society organisations. This person has a deep understanding of technology as well as regulatory environments. The ideal candidate can seamlessly go from a technical conversation with engineers to a high-level discussion with regulators and policymakers regarding where Cloudflare fits in the Internet stack. This person should be an expert at presenting technical topics at a level any audience will be able to understand.
This role has non-standard working hours.
Responsibilities
Engage with policymakers, regulators, trade associations, industry partners, civil society groups and others in India and across the APJC region, to educate stakeholders on Cloudflare’s trust & safety processes and policy positions.
Lead programs and advocacy campaigns that showcase our policy principles to demonstrate what a better Internet looks like in practice.
Develop talking points, policy narratives and presentation materials for use at external events and meetings and for other communication purposes (company blog, position papers, etc.).
Coordinate with cross-functional teams to address government and law enforcement requests, as appropriate.
Provide timely updates to colleagues from the Cloudflare Public Policy, Legal, Trust & Safety Teams and other internal stakeholders.
Minimum Qualification
Bachelor’s degree or preferably master's degree in public policy, law, economics
8+ years of related experience handling law enforcement matters at a large technology company and experience handling public policy issues.
Strong understanding of the Indian political, regulatory and legal system and protocols, particularly as they relate to digital services.
Experience in designing, running, and managing stakeholder, community, or partnership programs and events (for example, workshops, hackathons, or training programs)
Ability and willingness to work off hours, including weekends and holidays, to support emergency matters and interact with globally-based company employees
Right to work in Singapore, or eligibility and willingness to relocate to Singapore
Ability to analyze technical data and present to a less technical audience
An ambitious mindset that enables you to successfully work independently with little guidance, but also to use good judgment and escalate / call out issues when needed.
A sense of humor.
Preferred Qualification
Knowledge of Cloudflare products and the broader technology industry, including security, networking, Zero Trust, and AI services.
Experience in reviewing, processing, and tracking legal documents, particularly in India (e.g., civil and criminal subpoenas, court orders, and search warrants, and legal notices under Indian law)
Willingness to travel to India and elsewhere in the region.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
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.
Abu Dhabi, United Arab Emirates; Dubai, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Ajman, United Arab Emirates; Sharjah, United Arab Emirates
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.
Location: Malaysia; Singapore; 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 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.
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 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.
Location: Falls Church, VA
About Us
Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today!
Ennoble Care is seeking a full-time
Care Coordinator, Embedded
to join our team, providing on-site support within one or more partnered long-term care facilities in the
Falls Church, Virginia area.
This role is an integral, in-person member of our clinical care team, working alongside Ennoble Care providers in a family-practice-style model of care that emphasizes continuity, relationship-building, and patient-centered support.
At Ennoble Care, we foster a positive, respectful culture rooted in teamwork, where individuals are valued and encouraged to do meaningful work while maintaining a healthy work-life balance. We support internal advancement and long-term career growth based on performance, organizational needs, and role availability.
KEY RESPONSIBILITIES
Coordinate care for long-term care residents using Ennoble Care’s EMR
Maintain regular, proactive, on-site engagement with residents to support care plans, follow-ups, and care transitions
Collaborate closely with Ennoble Care providers, within the long-term care setting
Serve as a key liaison between providers, facility staff, residents, and families
Communicate patient needs, changes in condition, and urgent concerns to the clinical team in a timely manner
Accurately document patient interactions and care coordination activities
Follow established workflows, documentation standards, and escalation protocols
Contribute positively to team collaboration and strong facility partnerships
WHAT 'EMBEDDED' MEANS AT ENNOBLE CARE
This is not a remote or call-center role.
As an Embedded Care Coordinator, you are physically on-site in one or more partnered long-term care facilities, working alongside providers and facility staff. You build consistent relationships with residents and families and become a trusted, familiar presence within the facility -- supporting care the way a traditional family practice would, but in the long-term care setting. To support a dedicated group of patients. The work is very much family-practice focused, including a strong emphasis on remote patient monitoring (RPM) and proactive care coordination.
REQUIREMENTS
Legally authorized to work in the United States of America
Active, unrestricted clinical certification or licensure, such as:
Patient Care Technician (PCT)
Certified Nursing Assistant (CNA)
Medical Assistant (MA) / Certified Medical Assistant (CMA)
Licensed Practical Nurse (LPN)
Registered Nurse (RN)
Or comparable credential
Minimum 1 year of patient-facing experience in a long-term care, skilled nursing, or similar clinical setting
Comfortable communicating proactively and professionally throughout the day via Microsoft Teams, email, phone, and in person
Cultivate and maintain positive, approachable relationships with residents, families, providers, and facility staff, while demonstrating a consistent, dependable presence within the long-term care setting
Well-developed organizational and time-management skills, paired with an optimistic approach and initiative-driven mindset
Strong working knowledge of healthcare terminology and care coordination principles
Proficiency with Microsoft 365, including Outlook, Word, and Excel
Ability to work full-time, Monday through Friday, 8:00 a.m. to 4:30 p.m. EST, (or thereabouts, contingent on facility hours) in an on-site role, based in the
Falls Church, Virginia area.
No weekends
No on-call
Daytime hours
Seven (7) company-paid holidays annually
Transportation criteria:
Valid, unencumbered driver’s license
Consistent, reliable transportation to fulfill the duties of this position
Current auto insurance, with the ability to provide proof
Please note, travel between facilities may be required
Ability to pass a background check
Full-time benefits eligibility with a variety of options, including a Wellness Pet Plan for your furry family members!
We appreciate your interest in joining Ennoble Care,
where
To Care is an Honor
❤️
#brown
Full-time employees qualify for the following benefits:
Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
Paid Time Off
Paid Office Holidays
All employees qualify for these benefits:
Paid Sick Time
401(k) with up to 3% company match
Referral Program
Payactiv: pay-on-demand. Cash out earned money when and where you need it!
Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.
Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against
protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national
origin, religion, disability, and veteran status.
Location: Port Washington, WI
HSE Coordinator
As one of the largest, most diversified utility contractors in North America, MICON Group, Inc. has been unlocking the potential of infrastructure and transportation construction for six decades. Our operational crews depend on support from our in-house experts to advance critical infrastructure projects. At every turn, we consider safety, social and environmental responsibility, and the health and wellbeing of our people and the communities in which we work.
The safety of our people, our contractors, our customers, the environment, and the communities in which we work is our highest core value. We strive to make a difference in positive, respectful, and responsible ways. Our work improves lives.
Find out how a career as an
HSE Coordinator
can change yours!
About Us
At MICON Group, our success is built on a commitment to quality, safety, and developing great people.
Why MICON Group, Inc.?
Ranked among the top 10% of Engineering News-Record's Top 400 Contractors
Family-owned and operated with a culture built on integrity, collaboration, and continuous improvement
We invest an average of $5,000 per employee in training each year
Opportunities to support critical infrastructure projects across the United States
Career growth opportunities driven by performance and initiative
Safety is everyone's responsibility, regardless of title or role
Responsibilities
As an HSE Coordinator, you will support and promote a strong Health, Safety, Environmental, and Quality (HSEQ) culture across our operations. Working alongside experienced HSE professionals and operational leaders, you will:
Conduct jobsite visits, inspections, audits, and field observations
Assist with incident investigations and corrective action follow-up
Facilitate safety orientations, training sessions, tailgate meetings, and safety discussions
Assist with the development and implementation of site-specific safety plans and hazard analyses
Maintain safety documentation and support compliance efforts
Provide technical support to operations and project teams
Identify workplace hazards and help implement solutions to improve safety performance
Build relationships with field personnel and promote a positive safety culture
Develop industry knowledge, regulatory expertise, and professional HSE skills through field experience and mentorship
Requirements
Required Qualifications
Positive attitude, strong work ethic, and commitment to safety
Ability to work independently and maintain strong attention to detail
Strong verbal and written communication skills
Ability to identify and address construction-related jobsite hazards
Comfortable facilitating safety meetings, trainings, and field discussions
Ability to build effective working relationships with field crews, supervisors, subcontractors, and customers
Valid driver's license and acceptable driving record
OSHA 30-Hour Construction certification, or the ability to obtain within an approved timeframe
Preferred Qualifications
Degree in Occupational Health & Safety, Construction Management, Environmental Science, or a related field
Experience in construction, environmental health and safety (EHS), compliance, military service, skilled trades, or a related field
OSHA 510 and/or OSHA 500 certifications
BCSP certifications such as CHST, ASP, or CSP
MSHA experience
Benefits & Rewards
We offer a comprehensive rewards package designed to support your career growth, professional development, and well-being.
Company vehicle provided for business use
Weekly pay
Bring Your Own Phone (BYOP) allowance
Company-paid travel, lodging, and meals for qualifying project assignments
Additional compensation opportunities for eligible project assignments and extended work schedules
Comprehensive benefits package including medical, dental, vision, life insurance, disability coverage, 401(k), flexible spending accounts, health savings account, legal plan, and identity theft protection
Travel & Schedule Expectations
MICON's nationwide presence creates opportunities to support a diverse range of projects across the United States. Project assignments vary based on business needs and may include:
Local projects with daily commuting
Regional projects requiring overnight travel
Extended project assignments supporting jobsites for several weeks at a time
Candidates should be willing to travel extensively throughout the United States, approximately 75% of the time, including periods of extended project assignments.
Work schedules are driven by project demands and may include:
8 to 12+ hour workdays
Monday through Friday schedules with weekend work as needed
Occasional overnight work
Many of our HSE professionals participate in a 6-weeks-on / 1-week-off paid rotational schedule, providing dedicated time away from work in addition to regular PTO benefits.
Rotation schedules may vary based on project and business needs.
Training & Development
At MICON Group, we believe technical skills can be taught. What sets great employees apart is a positive attitude, adaptability, a strong work ethic, and a commitment to safety.
Whether you are beginning your safety career or building on existing experience, we provide:
Comprehensive onboarding and field-based training
Mentorship from experienced HSE professionals and operational leaders
Exposure to a variety of industries, projects, and construction environments
Opportunities to pursue professional certifications and continuing education
Career advancement opportunities within one of the nation's largest infrastructure contractors
Whether you are an experienced safety professional or looking to start a long-term career in health, safety, and environmental leadership, we encourage you to apply. At MICON Group, we invest in our people and provide the training, mentorship, and opportunities needed to build a rewarding career.
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: Stevens Point, WI
HSE Coordinator
As one of the largest, most diversified utility contractors in North America, MICON Group, Inc. has been unlocking the potential of infrastructure and transportation construction for six decades. Our operational crews depend on support from our in-house experts to advance critical infrastructure projects. At every turn, we consider safety, social and environmental responsibility, and the health and wellbeing of our people and the communities in which we work.
The safety of our people, our contractors, our customers, the environment, and the communities in which we work is our highest core value. We strive to make a difference in positive, respectful, and responsible ways. Our work improves lives.
Find out how a career as an
HSE Coordinator
can change yours!
About Us
At MICON Group, our success is built on a commitment to quality, safety, and developing great people.
Why MICON Group, Inc.?
Ranked among the top 10% of Engineering News-Record's Top 400 Contractors
Family-owned and operated with a culture built on integrity, collaboration, and continuous improvement
We invest an average of $5,000 per employee in training each year
Opportunities to support critical infrastructure projects across the United States
Career growth opportunities driven by performance and initiative
Safety is everyone's responsibility, regardless of title or role
Responsibilities
As an HSE Coordinator, you will support and promote a strong Health, Safety, Environmental, and Quality (HSEQ) culture across our operations. Working alongside experienced HSE professionals and operational leaders, you will:
Conduct jobsite visits, inspections, audits, and field observations
Assist with incident investigations and corrective action follow-up
Facilitate safety orientations, training sessions, tailgate meetings, and safety discussions
Assist with the development and implementation of site-specific safety plans and hazard analyses
Maintain safety documentation and support compliance efforts
Provide technical support to operations and project teams
Identify workplace hazards and help implement solutions to improve safety performance
Build relationships with field personnel and promote a positive safety culture
Develop industry knowledge, regulatory expertise, and professional HSE skills through field experience and mentorship
Requirements
Required Qualifications
Positive attitude, strong work ethic, and commitment to safety
Ability to work independently and maintain strong attention to detail
Strong verbal and written communication skills
Ability to identify and address construction-related jobsite hazards
Comfortable facilitating safety meetings, trainings, and field discussions
Ability to build effective working relationships with field crews, supervisors, subcontractors, and customers
Valid driver's license and acceptable driving record
OSHA 30-Hour Construction certification, or the ability to obtain within an approved timeframe
Preferred Qualifications
Degree in Occupational Health & Safety, Construction Management, Environmental Science, or a related field
Experience in construction, environmental health and safety (EHS), compliance, military service, skilled trades, or a related field
OSHA 510 and/or OSHA 500 certifications
BCSP certifications such as CHST, ASP, or CSP
MSHA experience
Benefits & Rewards
We offer a comprehensive rewards package designed to support your career growth, professional development, and well-being.
Company vehicle provided for business use
Weekly pay
Bring Your Own Phone (BYOP) allowance
Company-paid travel, lodging, and meals for qualifying project assignments
Additional compensation opportunities for eligible project assignments and extended work schedules
Comprehensive benefits package including medical, dental, vision, life insurance, disability coverage, 401(k), flexible spending accounts, health savings account, legal plan, and identity theft protection
Travel & Schedule Expectations
MICON's nationwide presence creates opportunities to support a diverse range of projects across the United States. Project assignments vary based on business needs and may include:
Local projects with daily commuting
Regional projects requiring overnight travel
Extended project assignments supporting jobsites for several weeks at a time
Candidates should be willing to travel extensively throughout the United States, approximately 75% of the time, including periods of extended project assignments.
Work schedules are driven by project demands and may include:
8 to 12+ hour workdays
Monday through Friday schedules with weekend work as needed
Occasional overnight work
Many of our HSE professionals participate in a 6-weeks-on / 1-week-off paid rotational schedule, providing dedicated time away from work in addition to regular PTO benefits.
Rotation schedules may vary based on project and business needs.
Training & Development
At MICON Group, we believe technical skills can be taught. What sets great employees apart is a positive attitude, adaptability, a strong work ethic, and a commitment to safety.
Whether you are beginning your safety career or building on existing experience, we provide:
Comprehensive onboarding and field-based training
Mentorship from experienced HSE professionals and operational leaders
Exposure to a variety of industries, projects, and construction environments
Opportunities to pursue professional certifications and continuing education
Career advancement opportunities within one of the nation's largest infrastructure contractors
Whether you are an experienced safety professional or looking to start a long-term career in health, safety, and environmental leadership, we encourage you to apply. At MICON Group, we invest in our people and provide the training, mentorship, and opportunities needed to build a rewarding career.
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
УдалённоMinsk, Belarus
leadHong Kong
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