Database & Network Specialist – AI Trainer

Invisible Agency
Full_time•$6-65/hour (USD)

📍 Job Overview

  • Job Title: Database & Network Specialist – AI Trainer
  • Company: Invisible Agency
  • Location: World Wide - Remote
  • Job Type: Contract
  • Category: AI Trainer
  • Date Posted: 2025-06-11
  • Experience Level: Mid-Senior Level
  • Remote Status: Remote

🚀 Role Summary

  • Shape the future of AI by providing high-quality training data for large-scale language models.
  • Challenge advanced language models on topics like database modeling, network design, and infrastructure tasks.
  • Document failure modes and suggest improvements to prompt engineering and evaluation metrics.
  • Collaborate with a team of experts to create a powerful engine of technical understanding.

📝 Enhancement Note: This role requires a strong technical background in database and network administration, as well as excellent communication skills to effectively train AI models.

💻 Primary Responsibilities

  • Converse with AI models on real-world networking scenarios and system design questions.
  • Verify technical accuracy and operational soundness of model responses.
  • Capture reproducible error traces and document failure modes.
  • Suggest improvements to prompt engineering and evaluation metrics.
  • Collaborate with the team to create a robust and reliable AI training process.

📝 Enhancement Note: This role requires a deep understanding of various networking and database technologies, as well as the ability to communicate complex technical concepts effectively.

🎓 Skills & Qualifications

Education: A bachelor’s or master’s degree in computer science, information technology, or a related field is ideal.

Experience: Relevant experience in production-scale system administration, database optimization, or network design.

Required Skills:

  • Database optimization and management (relational and NoSQL)
  • Network design and configuration (TCP/IP, VPN, cloud networking)
  • Data security and privacy
  • Distributed systems and high-availability architecture
  • Systems integration and infrastructure-as-code
  • Clear, metacognitive communication skills

Preferred Skills:

  • Relevant certifications (CCNA, CCNP, CompTIA Network+, AWS Certified Solutions Architect)
  • Experience with AI and machine learning concepts
  • Familiarity with prompt engineering and evaluation metrics

📝 Enhancement Note: While certifications are not required, they can signal relevant experience and a strong commitment to professional development.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • Demonstrate your expertise in database and network administration through relevant projects and case studies.
  • Showcase your problem-solving skills by walking through complex technical challenges and their solutions.
  • Highlight your communication skills by explaining technical concepts in a clear and concise manner.

Technical Documentation:

  • Document your thought process when approaching technical challenges and decisions.
  • Include error traces and debugging steps to demonstrate your ability to capture and analyze technical issues.
  • Explain your approach to prompt engineering and evaluation metrics, and how you've improved them in previous projects.

📝 Enhancement Note: A strong portfolio will demonstrate your ability to effectively communicate complex technical concepts, a crucial skill for this role.

💵 Compensation & Benefits

Salary Range: $6-to-$65 per hour (exact rate determined after evaluating experience, expertise, and geographic location)

Benefits:

  • Contractor benefits such as health insurance and PTO are not provided.

Working Hours: 40 hours per week (flexible schedule)

📝 Enhancement Note: As a contractor, you are responsible for providing your own secure computer and high-speed internet.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI and machine learning, focusing on large-scale language models and technical knowledge democratization.

Company Size: Small to medium-sized, with a remote, global workforce.

Founded: Not specified

Team Structure:

  • AI trainers specializing in various technical domains.
  • Research scientists developing and improving language models.
  • Engineering teams working on infrastructure, data collection, and model deployment.

Development Methodology:

  • Iterative development with a focus on continuous improvement.
  • Collaborative environment with regular team meetings and knowledge sharing sessions.
  • Agile project management with regular sprint planning and retrospectives.

Company Website: Invisible Agency

📝 Enhancement Note: Invisible Agency is a cutting-edge company focused on leveraging AI to democratize technical knowledge. Their culture values expertise, collaboration, and continuous learning.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior Level - This role requires a high level of technical expertise and experience in database and network administration, as well as strong communication skills.

Reporting Structure: This role reports directly to the AI Trainer Lead, with close collaboration with research scientists and engineering teams.

Technical Impact: As an AI trainer, you will have a significant impact on the development and improvement of large-scale language models. Your expertise will help shape the future of AI and technical knowledge democratization.

Growth Opportunities:

  • Specialization in specific AI domains or technologies.
  • Mentorship and knowledge sharing with junior team members.
  • Leadership roles within the AI trainer team or broader organization.

📝 Enhancement Note: This role offers significant growth opportunities for individuals looking to advance their careers in AI and machine learning, while also making a tangible impact on the future of technology.

🌐 Work Environment

Office Type: Remote - You will work from a location of your choice, with the necessary equipment and infrastructure provided by the company.

Office Location(s): World Wide - Remote

Workspace Context:

  • Home office or co-working space with a secure computer and high-speed internet.
  • Collaborative tools such as video conferencing, instant messaging, and project management software.
  • Flexible schedule with regular team meetings and check-ins.

Work Schedule: 40 hours per week, with a flexible schedule that accommodates different time zones and work preferences.

📝 Enhancement Note: The remote work environment at Invisible Agency offers a high degree of flexibility and autonomy, allowing you to balance your work and personal life effectively.

📄 Application & Technical Interview Process

Interview Process:

  1. Screening call to assess your technical background and communication skills.
  2. Technical assessment involving a hands-on challenge related to database and network administration.
  3. Cultural fit interview to evaluate your alignment with the company's values and work environment.
  4. Final interview with the AI Trainer Lead to discuss your career goals and expectations.

Portfolio Review Tips:

  • Highlight your expertise in database and network administration through relevant projects and case studies.
  • Demonstrate your problem-solving skills by walking through complex technical challenges and their solutions.
  • Showcase your communication skills by explaining technical concepts in a clear and concise manner.

Technical Challenge Preparation:

  • Brush up on your database and network administration skills, focusing on the technologies and concepts listed in the job description.
  • Practice explaining technical concepts clearly and concisely, as communication skills are crucial for this role.
  • Prepare for hands-on challenges by reviewing relevant documentation and resources.

ATS Keywords: (Organized by category)

  • Programming Languages: Python, SQL, Bash
  • Web Frameworks: Not applicable
  • Server Technologies: Linux, Windows Server, AWS, GCP, Azure
  • Databases: MySQL, PostgreSQL, MongoDB, Redis
  • Tools: JIRA, Confluence, Slack, Zoom
  • Methodologies: Agile, Scrum, Kanban
  • Soft Skills: Communication, Problem-solving, Teamwork, Adaptability
  • Industry Terms: AI, Machine Learning, Natural Language Processing, Large-scale Language Models, Technical Knowledge Democratization

📝 Enhancement Note: The interview process at Invisible Agency is designed to assess your technical expertise, communication skills, and cultural fit. By preparing thoroughly and demonstrating your passion for AI and machine learning, you can increase your chances of success.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases: MySQL, PostgreSQL, MongoDB, Redis
  • Server Platforms: Linux, Windows Server, AWS, GCP, Azure
  • Infrastructure Tools: Terraform, Ansible, Docker, Kubernetes

Development & DevOps Tools:

  • Version Control: Git
  • Project Management: JIRA, Confluence
  • Communication: Slack, Zoom
  • Documentation: Google Docs, Google Slides

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success.

👥 Team Culture & Values

Web Development Values:

  • Expertise: Demonstrate a deep understanding of database and network administration concepts.
  • Collaboration: Work closely with research scientists and engineering teams to create robust AI models.
  • Continuous Learning: Stay up-to-date with the latest developments in AI and machine learning.
  • Communication: Clearly and concisely explain technical concepts to both technical and non-technical stakeholders.

Collaboration Style:

  • Cross-functional teams working together to create and improve AI models.
  • Regular knowledge sharing and team meetings to foster a culture of continuous learning.
  • Open communication and feedback to create a supportive and inclusive work environment.

📝 Enhancement Note: Invisible Agency values expertise, collaboration, and continuous learning. By embracing these values, you can make a significant impact on the future of AI and technical knowledge democratization.

⚡ Challenges & Growth Opportunities

Technical Challenges:

  • Keeping up with the latest developments in AI and machine learning.
  • Adapting to new technologies and tools as the company grows and evolves.
  • Collaborating effectively with cross-functional teams to create and improve AI models.

Learning & Development Opportunities:

  • Attend industry conferences and events to stay up-to-date with the latest developments in AI and machine learning.
  • Pursue relevant certifications to demonstrate your commitment to professional development.
  • Seek mentorship opportunities within the company to learn from experienced team members.

📝 Enhancement Note: The technical challenges and learning opportunities in this role are numerous and varied, offering significant potential for growth and development.

💡 Interview Preparation

Technical Questions:

  • Database administration: Explain the difference between ACID and BASE consistency models. Describe a situation where you had to optimize a database query, and walk through your approach and the results.
  • Network administration: Explain the difference between stateful and stateless firewalls. Describe a complex network configuration challenge you've faced, and how you approached and resolved it.
  • AI and machine learning: Explain the concept of prompt engineering and how it relates to AI training. Describe a situation where you had to improve the performance of an AI model, and walk through your approach and the results.

Company & Culture Questions:

  • Company values: How do you embody the values of expertise, collaboration, and continuous learning in your daily work?
  • Work environment: How do you prefer to communicate and collaborate with remote team members? Describe a situation where you had to overcome a challenge in a remote work environment.
  • Career goals: Where do you see yourself in five years, both professionally and within the company? How does this role fit into your long-term career plans?

Portfolio Presentation Strategy:

  • Highlight your expertise in database and network administration through relevant projects and case studies.
  • Demonstrate your problem-solving skills by walking through complex technical challenges and their solutions.
  • Showcase your communication skills by explaining technical concepts in a clear and concise manner.
  • Tailor your portfolio to the specific requirements and values of Invisible Agency.

📝 Enhancement Note: By preparing thoroughly and demonstrating your passion for AI and machine learning, as well as your alignment with the company's values and work environment, you can make a strong impression in the interview process.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment, and management.
      • Infrastructure-as-code tools: Terraform, CloudFormation

Development & DevOps Tools:

  • Version Control: Git
    • Proficiency expected: Strong, with experience in version control, branching, and merging.
    • Collaborative development benefits: Facilitates code review, collaboration, and knowledge sharing.
  • Project Management: JIRA, Confluence
    • Proficiency expected: Intermediate, with experience in project tracking, task management, and team collaboration.
    • Agile methodologies supported: Scrum, Kanban
  • Communication: Slack, Zoom
    • Proficiency expected: Strong, with experience in remote collaboration, communication, and team coordination.
    • Cross-functional integration: Facilitates communication and collaboration between developers, designers, and stakeholders.
  • Documentation: Google Docs, Google Slides
    • Proficiency expected: Intermediate, with experience in technical documentation, knowledge sharing, and presentation creation.
    • Code quality approach: Encourages clear, concise, and well-organized documentation.

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success. Familiarity with the specific technologies and tools listed above is highly desirable.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment, and management.
      • Infrastructure-as-code tools: Terraform, CloudFormation

Development & DevOps Tools:

  • Version Control: Git
    • Proficiency expected: Strong, with experience in version control, branching, and merging.
    • Collaborative development benefits: Facilitates code review, collaboration, and knowledge sharing.
  • Project Management: JIRA, Confluence
    • Proficiency expected: Intermediate, with experience in project tracking, task management, and team collaboration.
    • Agile methodologies supported: Scrum, Kanban
  • Communication: Slack, Zoom
    • Proficiency expected: Strong, with experience in remote collaboration, communication, and team coordination.
    • Cross-functional integration: Facilitates communication and collaboration between developers, designers, and stakeholders.
  • Documentation: Google Docs, Google Slides
    • Proficiency expected: Intermediate, with experience in technical documentation, knowledge sharing, and presentation creation.
    • Code quality approach: Encourages clear, concise, and well-organized documentation.

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success. Familiarity with the specific technologies and tools listed above is highly desirable.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment, and management.
      • Infrastructure-as-code tools: Terraform, CloudFormation

Development & DevOps Tools:

  • Version Control: Git
    • Proficiency expected: Strong, with experience in version control, branching, and merging.
    • Collaborative development benefits: Facilitates code review, collaboration, and knowledge sharing.
  • Project Management: JIRA, Confluence
    • Proficiency expected: Intermediate, with experience in project tracking, task management, and team collaboration.
    • Agile methodologies supported: Scrum, Kanban
  • Communication: Slack, Zoom
    • Proficiency expected: Strong, with experience in remote collaboration, communication, and team coordination.
    • Cross-functional integration: Facilitates communication and collaboration between developers, designers, and stakeholders.
  • Documentation: Google Docs, Google Slides
    • Proficiency expected: Intermediate, with experience in technical documentation, knowledge sharing, and presentation creation.
    • Code quality approach: Encourages clear, concise, and well-organized documentation.

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success. Familiarity with the specific technologies and tools listed above is highly desirable.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment, and management.
      • Infrastructure-as-code tools: Terraform, CloudFormation

Development & DevOps Tools:

  • Version Control: Git
    • Proficiency expected: Strong, with experience in version control, branching, and merging.
    • Collaborative development benefits: Facilitates code review, collaboration, and knowledge sharing.
  • Project Management: JIRA, Confluence
    • Proficiency expected: Intermediate, with experience in project tracking, task management, and team collaboration.
    • Agile methodologies supported: Scrum, Kanban
  • Communication: Slack, Zoom
    • Proficiency expected: Strong, with experience in remote collaboration, communication, and team coordination.
    • Cross-functional integration: Facilitates communication and collaboration between developers, designers, and stakeholders.
  • Documentation: Google Docs, Google Slides
    • Proficiency expected: Intermediate, with experience in technical documentation, knowledge sharing, and presentation creation.
    • Code quality approach: Encourages clear, concise, and well-organized documentation.

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success. Familiarity with the specific technologies and tools listed above is highly desirable.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment, and management.
      • Infrastructure-as-code tools: Terraform, CloudFormation

Development & DevOps Tools:

  • Version Control: Git
    • Proficiency expected: Strong, with experience in version control, branching, and merging.
    • Collaborative development benefits: Facilitates code review, collaboration, and knowledge sharing.
  • Project Management: JIRA, Confluence
    • Proficiency expected: Intermediate, with experience in project tracking, task management, and team collaboration.
    • Agile methodologies supported: Scrum, Kanban
  • Communication: Slack, Zoom
    • Proficiency expected: Strong, with experience in remote collaboration, communication, and team coordination.
    • Cross-functional integration: Facilitates communication and collaboration between developers, designers, and stakeholders.
  • Documentation: Google Docs, Google Slides
    • Proficiency expected: Intermediate, with experience in technical documentation, knowledge sharing, and presentation creation.
    • Code quality approach: Encourages clear, concise, and well-organized documentation.

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success. Familiarity with the specific technologies and tools listed above is highly desirable.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment, and management.
      • Infrastructure-as-code tools: Terraform, CloudFormation

Development & DevOps Tools:

  • Version Control: Git
    • Proficiency expected: Strong, with experience in version control, branching, and merging.
    • Collaborative development benefits: Facilitates code review, collaboration, and knowledge sharing.
  • Project Management: JIRA, Confluence
    • Proficiency expected: Intermediate, with experience in project tracking, task management, and team collaboration.
    • Agile methodologies supported: Scrum, Kanban
  • Communication: Slack, Zoom
    • Proficiency expected: Strong, with experience in remote collaboration, communication, and team coordination.
    • Cross-functional integration: Facilitates communication and collaboration between developers, designers, and stakeholders.
  • Documentation: Google Docs, Google Slides
    • Proficiency expected: Intermediate, with experience in technical documentation, knowledge sharing, and presentation creation.
    • Code quality approach: Encourages clear, concise, and well-organized documentation.

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success. Familiarity with the specific technologies and tools listed above is highly desirable.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment, and management.
      • Infrastructure-as-code tools: Terraform, CloudFormation

Development & DevOps Tools:

  • Version Control: Git
    • Proficiency expected: Strong, with experience in version control, branching, and merging.
    • Collaborative development benefits: Facilitates code review, collaboration, and knowledge sharing.
  • Project Management: JIRA, Confluence
    • Proficiency expected: Intermediate, with experience in project tracking, task management, and team collaboration.
    • Agile methodologies supported: Scrum, Kanban
  • Communication: Slack, Zoom
    • Proficiency expected: Strong, with experience in remote collaboration, communication, and team coordination.
    • Cross-functional integration: Facilitates communication and collaboration between developers, designers, and stakeholders.
  • Documentation: Google Docs, Google Slides
    • Proficiency expected: Intermediate, with experience in technical documentation, knowledge sharing, and presentation creation.
    • Code quality approach: Encourages clear, concise, and well-organized documentation.

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success. Familiarity with the specific technologies and tools listed above is highly desirable.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment, and management.
      • Infrastructure-as-code tools: Terraform, CloudFormation

Development & DevOps Tools:

  • Version Control: Git
    • Proficiency expected: Strong, with experience in version control, branching, and merging.
    • Collaborative development benefits: Facilitates code review, collaboration, and knowledge sharing.
  • Project Management: JIRA, Confluence
    • Proficiency expected: Intermediate, with experience in project tracking, task management, and team collaboration.
    • Agile methodologies supported: Scrum, Kanban
  • Communication: Slack, Zoom
    • Proficiency expected: Strong, with experience in remote collaboration, communication, and team coordination.
    • Cross-functional integration: Facilitates communication and collaboration between developers, designers, and stakeholders.
  • Documentation: Google Docs, Google Slides
    • Proficiency expected: Intermediate, with experience in technical documentation, knowledge sharing, and presentation creation.
    • Code quality approach: Encourages clear, concise, and well-organized documentation.

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success. Familiarity with the specific technologies and tools listed above is highly desirable.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment, and management.
      • Infrastructure-as-code tools: Terraform, CloudFormation

Development & DevOps Tools:

  • Version Control: Git
    • Proficiency expected: Strong, with experience in version control, branching, and merging.
    • Collaborative development benefits: Facilitates code review, collaboration, and knowledge sharing.
  • Project Management: JIRA, Confluence
    • Proficiency expected: Intermediate, with experience in project tracking, task management, and team collaboration.
    • Agile methodologies supported: Scrum, Kanban
  • Communication: Slack, Zoom
    • Proficiency expected: Strong, with experience in remote collaboration, communication, and team coordination.
    • Cross-functional integration: Facilitates communication and collaboration between developers, designers, and stakeholders.
  • Documentation: Google Docs, Google Slides
    • Proficiency expected: Intermediate, with experience in technical documentation, knowledge sharing, and presentation creation.
    • Code quality approach: Encourages clear, concise, and well-organized documentation.

📝 Enhancement Note: While this role does not require extensive knowledge of frontend technologies, a solid understanding of backend and server technologies, as well as infrastructure tools, is essential for success. Familiarity with the specific technologies and tools listed above is highly desirable.

🛠️ Technology Stack & Web Infrastructure (Enhanced)

Frontend Technologies: Not applicable (this role focuses on AI training and does not involve frontend development)

Backend & Server Technologies:

  • Databases:
    • Relational Databases: MySQL, PostgreSQL
      • Proficiency expected: Strong, with experience in database design, optimization, and administration.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
    • NoSQL Databases: MongoDB, Redis
      • Proficiency expected: Intermediate, with experience in data modeling, querying, and performance optimization.
      • Browser compatibility requirements: Not applicable (this role focuses on AI training and does not involve frontend development)
  • Server Platforms:
    • Linux: Ubuntu, CentOS, Debian
      • Proficiency expected: Strong, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: Ansible, Terraform
    • Windows Server: Windows Server 2016, Windows Server 2019
      • Proficiency expected: Intermediate, with experience in system administration, configuration, and maintenance.
      • Deployment automation tools: PowerShell, Ansible
    • Cloud Platforms: AWS, GCP, Azure
      • Proficiency expected: Intermediate, with experience in cloud architecture, deployment

Application Requirements

A bachelor’s or master’s degree in computer science, information technology, or a related field is ideal. Certifications such as CCNA, CCNP, CompTIA Network+, or AWS Certified Solutions Architect signal fit.