Operations Coordinator
Status
Cayman Islands
Full time
Remote
Compensation is not specified
Role
COO
Description
The Arbitrum Foundation is a organization located in the Cayman Islands focused on advancing and supporting the Arbitrum ecosystem. This includes developing Arbitrum One, an Optimistic Rollup technology that enhances app scalability, cost-efficiency, and Ethereum security, as well as Arbitrum Nova, designed for low-cost fees suited for Social and Gaming applications.
The organization holds a prominent position in the Ethereum scaling solutions market, boasting a significant share and hosting a multitude of apps along with holding over 50% of all rollup liquidity.
Responsibilities:
- Collaborate with the Head of Operations on various cross-functional projects and special assignments
- Support vendor management and handle tasks pertaining to finance, legal, and HR
- Contribute to policy and procedure development and implementation
- Foster team communication and coordination
- Assist in the enhancement of operational processes to drive efficiency
Qualifications:
- Minimum of two years of relevant experience
- Team-oriented individual comfortable in a dynamic and rapidly evolving setting
- Possess high empathy and strong business acumen
- Demonstrated track record of navigating complex projects successfully
- Proficient in data analysis and numerical reasoning
At the Arbitrum Foundation, we prioritize diversity, equity, inclusion, and a sense of belonging for all employees. We are dedicated to cultivating a supportive and inclusive workplace where every individual is respected and provided an equal chance to excel. We strongly encourage individuals from all backgrounds to apply and become part of our team.
Skills Required
Arbitrum
Website
arbitrum.foundationCompany size
Not specified
Location
United States
Description
Not specified
Status
SADR B
Founding Technical Partners for Oferli – Elite Web & Mobile Development Team🌐
Remote, USA
Remote, USA
Part time
Remote
I am Sadr, CEO of Oferli. We are building a high-performance, elite technical team, and I am looking for 5 to 10 dedicated founding technical partners to join me in this mission.
The Vision:
Oferli is a 100% decentralized ecosystem. While we are rooted in Web3, our expertise spans across professional web and mobile application development. We are not just another agency; we are crafting the next generation of digital solutions. Our goal is to set a new standard for excellence, transparency, and decentralization.
What I am looking for:
I am building a professional, senior-level "Elite Team." I am looking for partners who are truly passionate about the vision—not just short-term gains. By combining our individual expertise and portfolios, we will establish Oferli’s collective professional reputation.
Requirements:
Proven Expertise: You must be a senior-level professional. Please provide your portfolio showcasing your best work in web and mobile development.
Commitment: This is a founding partnership. We are looking for those who believe in the mission and are ready to tackle complex challenges together.
Professionalism: We operate with high standards. Communication and efficiency are key.
How We Work:
Collaboration: We use professional, secure channels for all communications. Qualified candidates will be contacted via email to be invited to our private workspace on Notion to align on our roadmap and launch our upcoming projects.
Decentralized Operations: We leverage Web3 tools for collaboration and compensation, maintaining a fully decentralized environment.
Growth: We are launching with a core team of at least 5 founding partners, scaling to 10, to deliver high-impact results for our clients.
Application Process:
If you are a senior professional ready to build a world-class, decentralized ecosystem, apply here on LaborX. Qualified candidates will be contacted via email for further professional vetting and onboarding.
Let’s build the future, together.
Sadr B
CEO, Oferli
The Vision:
Oferli is a 100% decentralized ecosystem. While we are rooted in Web3, our expertise spans across professional web and mobile application development. We are not just another agency; we are crafting the next generation of digital solutions. Our goal is to set a new standard for excellence, transparency, and decentralization.
What I am looking for:
I am building a professional, senior-level "Elite Team." I am looking for partners who are truly passionate about the vision—not just short-term gains. By combining our individual expertise and portfolios, we will establish Oferli’s collective professional reputation.
Requirements:
Proven Expertise: You must be a senior-level professional. Please provide your portfolio showcasing your best work in web and mobile development.
Commitment: This is a founding partnership. We are looking for those who believe in the mission and are ready to tackle complex challenges together.
Professionalism: We operate with high standards. Communication and efficiency are key.
How We Work:
Collaboration: We use professional, secure channels for all communications. Qualified candidates will be contacted via email to be invited to our private workspace on Notion to align on our roadmap and launch our upcoming projects.
Decentralized Operations: We leverage Web3 tools for collaboration and compensation, maintaining a fully decentralized environment.
Growth: We are launching with a core team of at least 5 founding partners, scaling to 10, to deliver high-impact results for our clients.
Application Process:
If you are a senior professional ready to build a world-class, decentralized ecosystem, apply here on LaborX. Qualified candidates will be contacted via email for further professional vetting and onboarding.
Let’s build the future, together.
Sadr B
CEO, Oferli
Payment in Crypto
Сrypto.com
Senior AI Analytics Engineer
Hong Kong
Hong Kong
Full time
Hybrid
About the Role
As a Senior AI Analytics Engineer in our Data Team, you will serve as a key link between Data Engineering, Technology, and Product teams. Your primary responsibilities will involve operationalizing AI/LLM models, developing scalable data transformation pipelines, standardizing data models, and implementing best practices.
In addition to your core duties in analytics engineering, you will also be involved as a technical Business Analyst on certain data projects, collaborating with business units to translate operational needs into clear technical requirements.
Key Responsibilities
Data & AI Architecture: Develop and manage production-quality data models to connect raw data streams with downstream tools and BI, utilizing AI tools for data documentation, writing SQL/Python transformations, handling warehouse dialect conversions, and troubleshooting pipeline errors.
Analytics Engineering: Establish standardized data modeling approaches and build strong semantic layers to deliver clean, reliable data for analytics and reporting downstream.
Business & Requirements Analysis: Lead scoping discussions with various stakeholders to convert business requirements into functional specifications, user stories, and data mapping documents.
Business Logic Translation: Manage the alignment of data definitions across departments, a critical task that requires human intervention.
Data Quality & Governance: Implement automated testing, monitoring, and governance frameworks to ensure high reliability.
Performance Optimization: Enhance query performance, reduce warehouse costs, and streamline pipeline orchestration.
Requirements & Qualifications
Experience: Minimum of 5 years in Data Engineering, Analytics Engineering, or Data Science, with at least 2 years in an AI-focused environment.
Technical Mastery: Advanced skills in SQL, proficiency with modern data transformation and orchestration tools such as dbt, Airflow, Prefect, and Dagster, and deep knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery.
AI Technical Stack: Understanding of feature engineering, AI workflow lifecycles, and evaluation metrics, along with experience deploying AI workflows in production settings.
Business Analysis Skills: Ability to collect business requirements, define key metrics, and translate stakeholder needs into structured data assets as needed.
Software Engineering Principles: Strong background in version control using Git, CI/CD practices for data pipelines, and code testing for production environments.
We may utilize artificial intelligence tools for applicant screening, but final hires are based on human evaluation in conjunction with tool insights.
As a Senior AI Analytics Engineer in our Data Team, you will serve as a key link between Data Engineering, Technology, and Product teams. Your primary responsibilities will involve operationalizing AI/LLM models, developing scalable data transformation pipelines, standardizing data models, and implementing best practices.
In addition to your core duties in analytics engineering, you will also be involved as a technical Business Analyst on certain data projects, collaborating with business units to translate operational needs into clear technical requirements.
Key Responsibilities
Data & AI Architecture: Develop and manage production-quality data models to connect raw data streams with downstream tools and BI, utilizing AI tools for data documentation, writing SQL/Python transformations, handling warehouse dialect conversions, and troubleshooting pipeline errors.
Analytics Engineering: Establish standardized data modeling approaches and build strong semantic layers to deliver clean, reliable data for analytics and reporting downstream.
Business & Requirements Analysis: Lead scoping discussions with various stakeholders to convert business requirements into functional specifications, user stories, and data mapping documents.
Business Logic Translation: Manage the alignment of data definitions across departments, a critical task that requires human intervention.
Data Quality & Governance: Implement automated testing, monitoring, and governance frameworks to ensure high reliability.
Performance Optimization: Enhance query performance, reduce warehouse costs, and streamline pipeline orchestration.
Requirements & Qualifications
Experience: Minimum of 5 years in Data Engineering, Analytics Engineering, or Data Science, with at least 2 years in an AI-focused environment.
Technical Mastery: Advanced skills in SQL, proficiency with modern data transformation and orchestration tools such as dbt, Airflow, Prefect, and Dagster, and deep knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery.
AI Technical Stack: Understanding of feature engineering, AI workflow lifecycles, and evaluation metrics, along with experience deploying AI workflows in production settings.
Business Analysis Skills: Ability to collect business requirements, define key metrics, and translate stakeholder needs into structured data assets as needed.
Software Engineering Principles: Strong background in version control using Git, CI/CD practices for data pipelines, and code testing for production environments.
We may utilize artificial intelligence tools for applicant screening, but final hires are based on human evaluation in conjunction with tool insights.
CleanSpark
GSOC Agent - Part Time
Las Vegas, USA
Las Vegas, USA
Full time
Office
Job Overview
This part-time role requires working Friday to Sunday from 10:00 p.m. to 6:00 a.m. The Global Security Operations Center (GSOC) Agent plays a crucial role in supporting CleanSpark’s enterprise security operations by monitoring in real-time, detecting incidents, and coordinating responses across corporate and operational settings. Positioned at a 24/7 control center, this position involves maintaining awareness of situations, monitoring security technologies, coordinating responses, and ensuring prompt escalation of security events to safeguard CleanSpark’s personnel, assets, and activities.
To excel in this position, individuals must exhibit good judgment, meticulous attention to detail, effective communication skills, and the ability to stay updated on evolving security technologies and operational tools. This role operates on scheduled shifts within a 24/7 environment and involves participation in pre-shift and post-shift briefings to ensure operational consistency.
Key Responsibilities
Monitor various enterprise security systems such as CCTV, access control, alarm monitoring, drone platforms, Blue Force Tracking, OSINT resources, and related security technologies.
Detect, evaluate, prioritize, and escalate security incidents following established procedures and escalation guidelines.
Uphold enterprise-wide situational awareness by observing operational conditions, system alerts, and potential threats.
Act as the central communication hub during security incidents by liaising with on-site personnel, internal stakeholders, and emergency responders.
Dispatch and monitor security resources while documenting incidents and response actions within incident management systems.
Review videos, compile detailed documentation, and assist in security investigations when required.
Conduct regular system assessments and execute responsibilities in compliance with set Standard Operating Procedures (SOPs) and operational playbooks.
Engage in requisite training, maintain proficiency with GSOC technologies and security platforms, and contribute to continuous enhancement efforts.
Attend scheduled pre-shift and post-shift briefings to facilitate effective communication, operational preparedness, and smooth shift handovers.
This position demands professionalism, respect, effective communication, and collaborative teamwork within an inclusive environment.
Required Qualifications
High school diploma or equivalent; an associate’s or bachelor’s degree in related fields like Criminal Justice, Emergency Management, Homeland Security, is preferred.
1–3 years of experience in GSOC, SOC, dispatch, emergency communications, monitoring centers, military, law enforcement, or similar operational settings.
Proficiency in utilizing security technologies like CCTV, access control, alarm monitoring, or similar systems.
Capability to learn and proficiently operate multiple security platforms, monitoring systems, and operational technologies.
Strong analytical, organizational, and communication competencies.
Ability to maintain composure, apply sound judgment, and handle multiple priorities in a fast-paced environment.
Flexibility to work designated shifts, which may include nights, weekends, holidays, and overtime as necessary.
The compensation for this role is $26 - $28 per hour. The responsibilities may involve tasks that necessitate using a company vehicle or traveling between job sites. Candidates must meet the insurability criteria under CleanSpark's vehicle insurance policy.
CleanSpark upholds Equal Opportunity Employment principles. It offers equal employment opportunities, prohibits discrimination or harassment based on various characteristics, and aligns its policies with federal, state, and local laws governing employment terms and conditions.
The hiring process at CleanSpark may involve the use of Artificial Intelligence (AI) tools for tasks like application review, resume analysis, and response assessment. These AI tools support the recruitment process but do not supplant human judgment. Final hiring decisions are made by humans. For more information on the data processing procedures, applicants may reach out to CleanSpark for clarification.
This part-time role requires working Friday to Sunday from 10:00 p.m. to 6:00 a.m. The Global Security Operations Center (GSOC) Agent plays a crucial role in supporting CleanSpark’s enterprise security operations by monitoring in real-time, detecting incidents, and coordinating responses across corporate and operational settings. Positioned at a 24/7 control center, this position involves maintaining awareness of situations, monitoring security technologies, coordinating responses, and ensuring prompt escalation of security events to safeguard CleanSpark’s personnel, assets, and activities.
To excel in this position, individuals must exhibit good judgment, meticulous attention to detail, effective communication skills, and the ability to stay updated on evolving security technologies and operational tools. This role operates on scheduled shifts within a 24/7 environment and involves participation in pre-shift and post-shift briefings to ensure operational consistency.
Key Responsibilities
Monitor various enterprise security systems such as CCTV, access control, alarm monitoring, drone platforms, Blue Force Tracking, OSINT resources, and related security technologies.
Detect, evaluate, prioritize, and escalate security incidents following established procedures and escalation guidelines.
Uphold enterprise-wide situational awareness by observing operational conditions, system alerts, and potential threats.
Act as the central communication hub during security incidents by liaising with on-site personnel, internal stakeholders, and emergency responders.
Dispatch and monitor security resources while documenting incidents and response actions within incident management systems.
Review videos, compile detailed documentation, and assist in security investigations when required.
Conduct regular system assessments and execute responsibilities in compliance with set Standard Operating Procedures (SOPs) and operational playbooks.
Engage in requisite training, maintain proficiency with GSOC technologies and security platforms, and contribute to continuous enhancement efforts.
Attend scheduled pre-shift and post-shift briefings to facilitate effective communication, operational preparedness, and smooth shift handovers.
This position demands professionalism, respect, effective communication, and collaborative teamwork within an inclusive environment.
Required Qualifications
High school diploma or equivalent; an associate’s or bachelor’s degree in related fields like Criminal Justice, Emergency Management, Homeland Security, is preferred.
1–3 years of experience in GSOC, SOC, dispatch, emergency communications, monitoring centers, military, law enforcement, or similar operational settings.
Proficiency in utilizing security technologies like CCTV, access control, alarm monitoring, or similar systems.
Capability to learn and proficiently operate multiple security platforms, monitoring systems, and operational technologies.
Strong analytical, organizational, and communication competencies.
Ability to maintain composure, apply sound judgment, and handle multiple priorities in a fast-paced environment.
Flexibility to work designated shifts, which may include nights, weekends, holidays, and overtime as necessary.
The compensation for this role is $26 - $28 per hour. The responsibilities may involve tasks that necessitate using a company vehicle or traveling between job sites. Candidates must meet the insurability criteria under CleanSpark's vehicle insurance policy.
CleanSpark upholds Equal Opportunity Employment principles. It offers equal employment opportunities, prohibits discrimination or harassment based on various characteristics, and aligns its policies with federal, state, and local laws governing employment terms and conditions.
The hiring process at CleanSpark may involve the use of Artificial Intelligence (AI) tools for tasks like application review, resume analysis, and response assessment. These AI tools support the recruitment process but do not supplant human judgment. Final hiring decisions are made by humans. For more information on the data processing procedures, applicants may reach out to CleanSpark for clarification.
Nahclimited
AI & Automation Specialist
Taipei, Taiwan
Taipei, Taiwan
Full time
Office
This position plays a pivotal role in overseeing the implementation and maintenance of AI and automation solutions within the organization's global business operations. The successful candidate will be responsible for managing all aspects of automation projects, starting from identifying business challenges to developing, deploying, and supporting the solutions, while ensuring the stability and performance of existing services. Collaboration with business stakeholders, IT departments, and external vendors is essential to transform operational issues into efficient and scalable automation solutions. The role also includes providing support during both US and Asia business hours as part of a structured global support framework.
Responsibilities
Support the daily operation of AI and automation services by managing incidents, service requests, and change requests until resolution, adhering to strict ticket tracking and documentation protocols aligned with service-level agreements.
Serve as the central liaison between business users, IT teams, and vendors, monitoring service performance, utilization, and vendor capabilities.
Collaborate with business stakeholders to identify potential automation and AI applications and convert them into feasible and scalable technical requirements.
Develop, test, and implement automation solutions such as RPA, workflow automation, and AI tools in conjunction with IT, infrastructure, and security teams.
Drive user acceptance through training, standard operating procedures, documentation, and lead ongoing enhancement of automation services.
Requirements
Minimum of 3 years of experience in business consulting, IT system analysis, or solution design, demonstrating a proven track record of leveraging AI and automation tools to enhance business performance.
Demonstrated capability to autonomously design, create, and deploy automation or AI-driven solutions in a dynamic business setting beyond proof-of-concept.
Hands-on experience with automation, RPA, or process mining tools such as Power Automate, Automation Anywhere, UiPath, or Celonis.
Proficiency in programming and scripting languages, preferably Java and Python, with experience in integrating solutions through APIs and workflow orchestration.
Familiarity with event-driven or service-based architectural frameworks commonly used in enterprise integrations.
Fluent in business English (written and verbal).
Preferred Skills
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Experience with industry-specific platforms like CargoWise, TMS, WMS, or SCM, and relevant integrations.
Familiarity with ITSM/ITIL processes (incident, change, request management) and improvement methodologies such as Lean Six Sigma or Agile.
We may use AI tools as part of the hiring process to assist in reviewing applications, analyzing resumes, and evaluating responses. These tools are designed to support our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by human personnel. If you require more details on how your data is handled, please reach out to us.
Responsibilities
Support the daily operation of AI and automation services by managing incidents, service requests, and change requests until resolution, adhering to strict ticket tracking and documentation protocols aligned with service-level agreements.
Serve as the central liaison between business users, IT teams, and vendors, monitoring service performance, utilization, and vendor capabilities.
Collaborate with business stakeholders to identify potential automation and AI applications and convert them into feasible and scalable technical requirements.
Develop, test, and implement automation solutions such as RPA, workflow automation, and AI tools in conjunction with IT, infrastructure, and security teams.
Drive user acceptance through training, standard operating procedures, documentation, and lead ongoing enhancement of automation services.
Requirements
Minimum of 3 years of experience in business consulting, IT system analysis, or solution design, demonstrating a proven track record of leveraging AI and automation tools to enhance business performance.
Demonstrated capability to autonomously design, create, and deploy automation or AI-driven solutions in a dynamic business setting beyond proof-of-concept.
Hands-on experience with automation, RPA, or process mining tools such as Power Automate, Automation Anywhere, UiPath, or Celonis.
Proficiency in programming and scripting languages, preferably Java and Python, with experience in integrating solutions through APIs and workflow orchestration.
Familiarity with event-driven or service-based architectural frameworks commonly used in enterprise integrations.
Fluent in business English (written and verbal).
Preferred Skills
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Experience with industry-specific platforms like CargoWise, TMS, WMS, or SCM, and relevant integrations.
Familiarity with ITSM/ITIL processes (incident, change, request management) and improvement methodologies such as Lean Six Sigma or Agile.
We may use AI tools as part of the hiring process to assist in reviewing applications, analyzing resumes, and evaluating responses. These tools are designed to support our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by human personnel. If you require more details on how your data is handled, please reach out to us.
CleanSpark
Mining Operations Technician - Jellico, TN
Jellico, USA
Jellico, USA
Full time
Office
Job Overview:
CleanSpark (Nasdaq: CLSK) is a renowned data center developer operating with over 1.8 GW of power capacity, land resources, and data centers nationwide. We focus on efficiently leveraging energetically competitive pricing to generate returns for our stakeholders by intersecting the realms of Bitcoin, energy management, operational proficiency, and financial responsibility. Our strategy revolves around optimizing infrastructure to achieve superior performance in the face of dynamic market conditions.
Job Summary:
The Mining Operations Tech plays a crucial role within CleanSpark's bitcoin mining ecosystem. This individual collaborates within a larger team to provide round-the-clock assistance and maintenance for mining operations, supporting engineering and facilities teams' activities.
Core Responsibilities
Manage equipment shipments through detailed record-keeping and inventory oversight.
Support special projects involving installation or equipment reorganization.
Perform basic maintenance tasks on miners, such as fan and power supply replacements.
Monitor mining pool data and report significant operational fluctuations.
Recognize and address issues impacting production processes.
Escort authorized visitors within facility zones to address equipment needs.
Provide remote assistance, including troubleshooting and equipment reboots.
Aid facility team with building and electrical maintenance concerns.
Alert on HVAC and power issues, overheating risks, and stability deviations in data centers.
Qualifications
Education: High School diploma or equivalent.
Experience: While technical expertise is beneficial, no prior experience is mandatory as on-the-job training is provided.
Skills: Capacity to work autonomously, complete assigned duties, and possess rudimentary computer competencies.
Qualities: Self-driven, supportive, vigilant, and commitment to quality work; team-oriented mindset.
Certifications/Licenses: None required.
Physical Fitness: Capable of lifting 50-75 lbs.
Additional Requirements: Reliable transportation.
The salary range for this position is $21 - $23 annually.
As part of our fair employment practices, CleanSpark is an Equal Opportunity Employer that upholds non-discriminatory standards for hiring, progression, and other employment terms. Our commitment extends to all personnel, irrespective of race, age, gender, disability, veterans' status, sexual orientation, or other legally protected characteristics.
As a transparency measure, we might use AI tools in stages of the recruitment process, such as application review and resume assessment. However, human discernment remains decisive in final hiring determinations. For clarifications regarding data handling, please reach out to us directly.
CleanSpark (Nasdaq: CLSK) is a renowned data center developer operating with over 1.8 GW of power capacity, land resources, and data centers nationwide. We focus on efficiently leveraging energetically competitive pricing to generate returns for our stakeholders by intersecting the realms of Bitcoin, energy management, operational proficiency, and financial responsibility. Our strategy revolves around optimizing infrastructure to achieve superior performance in the face of dynamic market conditions.
Job Summary:
The Mining Operations Tech plays a crucial role within CleanSpark's bitcoin mining ecosystem. This individual collaborates within a larger team to provide round-the-clock assistance and maintenance for mining operations, supporting engineering and facilities teams' activities.
Core Responsibilities
Manage equipment shipments through detailed record-keeping and inventory oversight.
Support special projects involving installation or equipment reorganization.
Perform basic maintenance tasks on miners, such as fan and power supply replacements.
Monitor mining pool data and report significant operational fluctuations.
Recognize and address issues impacting production processes.
Escort authorized visitors within facility zones to address equipment needs.
Provide remote assistance, including troubleshooting and equipment reboots.
Aid facility team with building and electrical maintenance concerns.
Alert on HVAC and power issues, overheating risks, and stability deviations in data centers.
Qualifications
Education: High School diploma or equivalent.
Experience: While technical expertise is beneficial, no prior experience is mandatory as on-the-job training is provided.
Skills: Capacity to work autonomously, complete assigned duties, and possess rudimentary computer competencies.
Qualities: Self-driven, supportive, vigilant, and commitment to quality work; team-oriented mindset.
Certifications/Licenses: None required.
Physical Fitness: Capable of lifting 50-75 lbs.
Additional Requirements: Reliable transportation.
The salary range for this position is $21 - $23 annually.
As part of our fair employment practices, CleanSpark is an Equal Opportunity Employer that upholds non-discriminatory standards for hiring, progression, and other employment terms. Our commitment extends to all personnel, irrespective of race, age, gender, disability, veterans' status, sexual orientation, or other legally protected characteristics.
As a transparency measure, we might use AI tools in stages of the recruitment process, such as application review and resume assessment. However, human discernment remains decisive in final hiring determinations. For clarifications regarding data handling, please reach out to us directly.