CrawlJobs Logo
G2i Inc. Logo G2i Inc. · IT - Software Development

Frontend Developer for AI Training

· Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

We’re hiring Frontend Developers to help train and evaluate next-generation coding agents and AI systems. In this role, you’ll build small to mid-sized web application features, validate AI-generated code, and provide structured feedback on UI/UX decisions and implementation quality. This position is ideal for developers with 2–6 years of experience who are strong in a modern JavaScript framework and comfortable working with AI-assisted development tools. Depending on your portfolio strength, you may be matched with one of two active projects that range from high-volume development tasks to more design-focused frontend builds.

Job Responsibility

  • Develop and maintain modern web interfaces using your strongest frontend framework
  • Review, test, and refine code generated by AI coding assistants
  • Implement clean, reusable, and maintainable components
  • Apply strong CSS fundamentals, including Tailwind, Bootstrap, or custom styling approaches
  • Provide feedback on layout, accessibility, and UI/UX clarity
  • Follow detailed project guidelines for evaluation integrity and task consistency
  • Communicate clearly with project coordinators and follow milestone-based task delivery

Requirements

  • 2–6 years of experience in frontend or fullstack development
  • Proficiency in at least one modern framework: React, Next.js, Vue, Angular, or Svelte
  • Strong CSS fundamentals and experience with component libraries or design systems
  • Ability to interpret design specifications and translate them into clean UI implementations
  • Familiarity with Git, modern tooling, and common frontend workflows
  • Excellent written English communication (B2+)
  • Comfortable experimenting with AI tools, coding agents, or automated code suggestions

Nice to have

  • Experience with Tailwind, Bootstrap, Material UI, Chakra, Radix, or similar UI libraries
  • Portfolio showcasing live projects, GitHub repos, design prototypes, or interactive demos
  • Prior experience in AI training, LLM evaluation, or annotation environments
  • Exposure to software testing, QA workflows, or documentation writing

What we offer

  • Remote, flexible work
  • Weekly payments upon approval
  • Opportunities for recurring project assignments
  • Experience collaborating with leading AI teams
G2i Inc. - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Frontend Developer for AI Training

8 matching positions

Senior Frontend Developer for Data Training

At G2i, we connect subject-matter experts with flexible, remote opportunities in...
Location
Location
Salary
Salary:
Not provided
g2i.co Logo
G2i Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2–4 years of professional experience in frontend or full-stack development
  • Proficiency with at least one modern framework (React, Angular, Next.js, Svelte, etc.)
  • Strong command of CSS, including frameworks like Bootstrap or Tailwind
  • A strong eye for design and user experience
  • Excellent communication and documentation skills in English
  • Bachelor’s degree in Computer Science, or a related field (preferred)
Job Responsibility
Job Responsibility
  • Develop and implement user-facing features using modern JavaScript frameworks (React, Angular, Next.js, Svelte, or similar)
  • Write clean, maintainable, and efficient code for frontend components
  • Apply strong UI/UX design skills to create professional, polished interfaces
  • Optimize applications for maximum usability and performance
  • Document your reasoning and ensure results are clear, reproducible, and reliable
  • (Optional) Experiment with coding agents such as Lovable/Windsurf/Replit/Cursor/etc to boost productivity
Read More
Arrow Right

Software Engineer for AI Training

We’re hiring Frontend Developers to help train and evaluate next-generation codi...
Location
Location
Salary
Salary:
Not provided
g2i.co Logo
G2i Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2–6 years of experience in frontend or fullstack development
  • Proficiency in at least one modern framework: React, Next.js, Vue, Angular, or Svelte
  • Strong CSS fundamentals and experience with component libraries or design systems
  • Ability to interpret design specifications and translate them into clean UI implementations
  • Familiarity with Git, modern tooling, and common frontend workflows
  • Excellent written English communication (B2+)
  • Comfortable experimenting with AI tools, coding agents, or automated code suggestions
Job Responsibility
Job Responsibility
  • Develop and maintain modern web interfaces using your strongest frontend framework
  • Review, test, and refine code generated by AI coding assistants
  • Implement clean, reusable, and maintainable components
  • Apply strong CSS fundamentals, including Tailwind, Bootstrap, or custom styling approaches
  • Provide feedback on layout, accessibility, and UI/UX clarity
  • Follow detailed project guidelines for evaluation integrity and task consistency
  • Communicate clearly with project coordinators and follow milestone-based task delivery
What we offer
What we offer
  • Remote, flexible work
  • Weekly payments upon approval
  • Opportunities for recurring project assignments
  • Experience collaborating with leading AI teams
Read More
Arrow Right

Principal Engineer, ASIC Development Engineering (Frontend Architect - AI Storage Solutions)

In this Frontend Architect position, you will develop AI Storage Solutions based...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
sandisk.com Logo
Sandisk
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelors or Masters or PhD in Computer/Electrical Engineering with 8+ years of hands-on Architecture experience authoring specifications
  • Strong technical background architecting SoC and I/O subsystems involving PCIe and PCIe-DMA engines, or UCIe or CXL or UAL
  • Strong IO subsystem microarchitecture, technical, and working knowledge of the PCIe/UCIe protocol specifications
  • Knowledge of I/O Subsystem and DMA interactions with internal embedded processor-subsystems (x86, RISC-V or ARM) and external host CPU
  • Good understanding of computer/graphics architecture, ML, LLM
  • Architecting an GPU/TPU/xPU Accelerator systems with optimized high bandwidth memory hierarchy and frontend architecture for multi-trillion parameter LLM training/inference including Dense, Mixture of Experts (MoE) with multiple modalities (text, vision, speech)
  • Deep experience optimizing large-scale ML systems, GPU architectures
  • Proficiency in principles and methods of microarchitecture, software, and hardware relevant to performance engineering
  • Multi-disciplinary experience, including familiarity with Firmware and ASIC design
  • Expertise in CUDA programming, GPU memory hierarchies, and hardware-specific optimizations
Job Responsibility
Job Responsibility
  • Responsible for driving the SoC architecture, with a particular focus on I/O subsystems connected over UCIe, PCIe, UAL or CXL
  • Define I/O subsystem and PCIe DMA architectures, including their interactions with internal embedded processor-subsystems, Network on Chip, Memory controllers, and FPGA fabric
  • Create flexible and modular I/O subsystem architectures that can be deployed in either chiplet, monolithic or 3D form factors
  • Work with customers, and cross-functional teams to scope SoC requirements, analyze PPA tradeoffs, and then define architectural requirements that meet the PPA and schedule targets
  • Define I/O subsystem and DMA hardware, software, and firmware interactions with embedded processing subsystems and SoC CPUs on the device side and Host CPUs
  • Author architecture specifications in clear and concise language. Guide and assist pre-silicon design/verification and post-silicon validation during the execution phase
  • Responsible for improving the AI/ML ASIC Architecture performance through hardware & software co-optimization, post-silicon performance analysis, and influencing the strategic product roadmap
  • LLM Workload analysis and characterization of ASIC and competitive datacenter and AI solutions to identify opportunities for performance improvement in our products
  • Experience architecting one or some components of AI/ML accelerator ASICs such as HBM, PCIe/UCIe/CXL, NoC, DMA, Firmware Interactions, NAND, xPU, fabrics, etc
  • Drive the AI Storage Solutions frontend system architecture with GPU/TPU/NPU/xPU to match or exceed the nextgen HBM bandwidth
  • Fulltime
Read More
Arrow Right

Senior Software Engineer

Software Resources has an immediate, contract job opportunity for a Senior Softw...
Location
Location
United States , Lake Buena Vista
Salary
Salary:
Not provided
softwareresources.com Logo
Software Resources
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2–5 years of experience in software engineering or related technical field
  • Experience developing backend services and/or APIs using languages such as Python, Go, or similar
  • Familiarity with frontend frameworks (e.g., React, Angular) or willingness to learn
  • Basic understanding of Infrastructure-as-Code tools (e.g., Ansible, Terraform, or Pulumi)
  • Exposure to cloud platforms (AWS, Azure, or GCP) and containerization (Docker or Kubernetes)
  • Strong problem-solving skills and a willingness to learn in a fast-paced, collaborative environment
  • Effective communication skills and ability to work across teams
  • Strong communication, collaboration, and leadership skills with the ability to collaborate globally across various time zones
  • BS STEM
Job Responsibility
Job Responsibility
  • Partner with network and operations teams to understand existing processes and identify opportunities for automation
  • Contribute to breaking down manual workflows into reusable code and automation modules
  • Develop and enhance components of network automation and orchestration platforms
  • Build and maintain automation workflows
  • Write and execute unit tests and support CI/CD pipelines to validate automation solutions
  • Assist in end-to-end testing and validation of automated workflows
  • Support demos, documentation, and training materials for delivered solutions
  • Collaborate with senior engineers to design scalable and reliable systems
  • Contribute to automation initiatives that improve network reliability and operational efficiency
  • Support the integration of telemetry, monitoring, and automation into network workflows
What we offer
What we offer
  • Access to benefits including medical, dental, and vision coverage
  • 401(k) with company match
  • short-term disability
  • life insurance with AD&D
  • Fulltime
Read More
Arrow Right

Network Engineer, Engineering R&D Environments

Meta's Lab Infrastructure, Network, Compliance, and Security () team is seeking ...
Location
Location
United States , Menlo Park
Salary
Salary:
162000.00 - 227000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience designing, deploying, and operating network infrastructure in production or lab environments
  • Experience working in multi-vendor environments, including network operating systems and switching platforms
  • Experience with configuration management, code repositories, and zero-touch provisioning (ZTP) for network infrastructure
  • Experience with IPv4/IPv6, L2/L3 protocols, including STP, OSPF, BGP, TCP/IP, DHCP, DNS, VLANs, VRRP, LACP, MC-LAG, ACLs, MACsec, and EVPN/VXLAN
  • Working knowledge of scripting or programming languages (e.g., Python, shell) for automation and tooling
  • Experience prioritizing competing workstreams based on impact, deadlines, and stakeholder needs in a global environment, with a track record of driving work independently while engaging cross-functional partners as needed
Job Responsibility
Job Responsibility
  • Own end-to-end frontend and backend network design, deployment, and operations for AI and compute lab clusters
  • Serve as a primary networking point of contact for backend fabrics, including Arista- and internally developed network OS-based scale-out networks supporting AI workloads
  • Design, deploy, and support high-throughput, low-latency cluster networking, including congestion management (PFC/ECN), RDMA validation, and lossless transport
  • Perform hands-on troubleshooting and root-cause analysis across L1–L4 using packet captures, telemetry, and vendor tools to resolve complex lab issues
  • Support silicon, hardware, and software bring-ups, ensuring reliable connectivity and on-time validation
  • Lead and execute lab network lifecycle activities, including upgrades, migrations, capacity expansions, and decommissioning across regions
  • Develop and maintain network automation, configuration templates, and zero-touch provisioning (ZTP) workflows
  • Create and maintain MOPs, runbooks, and readiness checklists for internal teams and vendor executions
  • Provide direct consultation and training to cross-functional partners, enabling teams to operate and troubleshoot lab networks
  • End-to-end ownership of projects from requirements definition through customer handoff
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Network Engineer, Engineering R&D Environments

Meta's Lab Infrastructure, Network, Compliance, and Security (LINCS) team is see...
Location
Location
United States , Menlo Park
Salary
Salary:
135000.00 - 191000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience designing, deploying, and operating network infrastructure in production or lab environments
  • Experience working in multi-vendor environments, including Arista, FBOSS-based platforms, and lab networking hardware
  • Experience with configuration management, code repositories, and zero-touch provisioning (ZTP) for network infrastructure
  • Experience with IPv4/IPv6, L2/L3 protocols, including STP, OSPF, BGP, TCP/IP, DHCP, DNS, VLANs, VRRP, LACP, MC-LAG, ACLs, MACsec, and EVPN/VXLAN
  • Working knowledge of scripting or programming languages (e.g., Python, shell) for automation and tooling
  • Demonstrated experience to operate consistently while working under your own initiative, seeking feedback and input where appropriate in a global, time-critical environment, managing multiple priorities and mission-critical timelines
Job Responsibility
Job Responsibility
  • Own end-to-end frontend and backend network design, deployment, and operations for AI and compute lab clusters
  • Serve as a primary networking point of contact for backend fabrics, including Arista- and internally developed network OS-based scale-out networks supporting AI workloads
  • Design, deploy, and support high-throughput, low-latency cluster networking, including congestion management (PFC/ECN), RDMA validation, and lossless transport
  • Perform hands-on troubleshooting and root-cause analysis across L1–L4 using packet captures, telemetry, and vendor tools to resolve complex lab issues
  • Support silicon, hardware, and software bring-ups, ensuring reliable connectivity and on-time validation
  • Lead and execute lab network lifecycle activities, including upgrades, migrations, capacity expansions, and decommissioning across regions
  • Develop and maintain network automation, configuration templates, and zero-touch provisioning (ZTP) workflows
  • Create and maintain MOPs, runbooks, and readiness checklists for internal teams and vendor executions
  • Provide direct consultation and training to cross-functional partners, enabling teams to operate and troubleshoot lab networks
  • End-to-end ownership of projects from requirements definition through customer handoff
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Software Engineer

We are looking for a Software Engineer with 3–5 years of experience in full-stac...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
atsautomation.com Logo
ATS Automation Tooling Systems Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3–5 years of experience in full-stack development and AI solutions
  • Strong experience with React.js for frontend development
  • Proficiency in Node.js or Python for backend development
  • Good understanding of REST APIs, HTTP, JSON, and database design
  • Exposure to AI/ML or LLM-based applications
  • Experience with Git and modern development workflows
  • Bachelor’s degree in Computer Science, Information Technology, Business Information Systems, or related field
Job Responsibility
Job Responsibility
  • Develop full-stack applications using React (frontend) and Node.js or Python (backend)
  • Build and integrate REST APIs and backend services
  • Design and manage databases (SQL / NoSQL)
  • Develop AI-powered agents using Copilot Studio integrated with legal intake systems
  • Build and manage end-to-end workflows using Power Automate for request routing, triage, and AI-assisted drafting
  • Maintain AI knowledge layers including clause libraries, risk frameworks, and legal playbooks
  • Integrate third-party legal AI tools within the Microsoft ecosystem
  • Own and enhance SharePoint-based legal ticketing systems (intake, routing, approvals)
  • Automate contract lifecycle processes to improve efficiency and reduce manual effort
  • Develop Power BI dashboards for workload tracking, contract cycle times, SLA performance, and team capacity
  • Fulltime
Read More
Arrow Right

Technical Architect (AI)

The AI Solutions Engineer is a specialist role, responsible for actively partici...
Location
Location
Indonesia , Jakarta Selatan
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Demonstrated understanding of artificial intelligence, natural language processing (NLP), and machine learning principles
  • Expertise in selecting, fine-tuning, and deploying large and small language models (LLMs/SLMs), such as OpenAI's GPT series and open-source alternatives
  • Specialist proficiency in Python programming, essential for rapid prototyping, integration, and model implementation
  • Knowledge of additional programming languages (optional, but valuable): JavaScript / TypeScript, Java / C#
  • Familiarity with full-stack software development, including frontend and backend integration, user experience considerations, and system interoperability
  • Robust knowledge of data pipeline development, data engineering concepts, and handling of structured and unstructured data
  • Proficiency in cloud computing platforms (Azure, AWS, GCP), particularly in deploying, scaling, and managing AI workloads
  • Experience with Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel is highly desirable
  • Awareness and application of security, compliance, and risk management practices related to AI solutions
  • Understanding of ethical AI considerations, bias mitigation, and responsible AI deployment
Job Responsibility
Job Responsibility
  • Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
  • Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
  • Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
  • Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
  • Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
  • Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
  • Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
  • Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
  • Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
  • Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices
  • Fulltime
Read More
Arrow Right