Full-Stack Engineer Talent Network

Workbolt

United States

Remote

USD 96,000 - 207,000

Full time

14 days+

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Job summary

Workbolt AI is assembling a Talent Network for experienced full-stack engineers to work on flexible, contract-based projects. Roles cover frontend (React, Vue, Angular) and backend (Node.js, Django, Spring, Rails) with API design, databases, testing, deployment, and performance optimization.

Engagements are remote and hourly, varying in scope and duration. Experts are reviewed and matched to opportunities, receive project details and compensation before starting, and work remotely with the

Qualifications

  • Experience designing full-stack tasks spanning product requirements, frontend architecture, backend services, APIs, data models, authentication, testing, deployment.
  • Ability to evaluate AI-generated frontend and backend code for correctness, usability, security, and performance.
  • Develop evaluation criteria, test cases, and exemplar solutions for professional-quality work.

Responsibilities

  • Design realistic full-stack engineering tasks spanning product requirements, frontend architecture, backend services, APIs, data models, authentication, testing, deployment, and end-to-end performance.
  • Evaluate AI-generated frontend and backend code, architectures, and explanations for correctness, usability, security, scalability, maintainability, data integrity, and production readiness.
  • Develop evaluation criteria, test cases, scoring rubrics, reference implementations, and exemplar solutions that define professional-quality full-stack engineering work.
  • Provide precise technical feedback identifying UI defects, API mismatches, data-modeling errors, security weaknesses, performance bottlenecks, weak abstractions, incomplete tests, or deployment risks.
  • Work independently within project instructions and quality standards, document assumptions and dependencies, incorporate reviewer feedback, meet deadlines, and promptly communicate blockers or risks.

Skills

Frontend frameworks
Backend frameworks
API design
Databases
Testing
Deployment
Performance

Tools

React
Vue
Angular
Node.js
Django
Spring
Rails

Job description

About the role

About Workbolt AI’s Talent Network Join Workbolt AI’s Full-Stack Engineer Talent Network to be considered for flexible contract opportunities with AI labs and technology companies seeking experienced full-stack engineering professionals. This is an open application for future projects—not a guarantee of immediate work. Opportunities are matched on a rolling basis according to your experience, technical expertise, availability, and project requirements. What You May Work On Members of the network may support projects that train, test, and evaluate advanced AI systems using real-world engineering expertise. Assignments may include creating realistic technical tasks and deliverables; reviewing AI-generated code, architectures, debugging approaches, and documentation; developing scoring criteria, test cases, or reference solutions; and providing detailed feedback on correctness, maintainability, security, performance, and production relevance. Focus areas may include modern frontend frameworks such as React, Vue, or Angular; backend frameworks such as Node.js, Django, Spring, or Rails; API design; relational and NoSQL databases; testing; deployment; and end-to-end performance.


Project Details Projects vary in scope, duration, and weekly commitment. Many engagements are structured for flexible remote participation and may require approximately 15-30 hours per week while active. Specific schedules, deliverables, technology stacks, timelines, and compensation terms will be shared before you accept an assignment. Projects may be extended, shortened, or concluded as business needs and performance requirements change.


How It Works 1. Apply once: Submit your résumé, availability, and work-authorization information. 2. Get reviewed: Workbolt AI reviews your professional background and verifies that your expertise aligns with the network. 3. Get matched: When a suitable engineering project becomes available, we contact qualified experts whose experience and availability fit the engagement. 4. Review the opportunity: You receive the project scope, stack, schedule, deliverables, and compensation details before deciding whether to participate. 5. Start contributing: If selected and you accept, you complete project onboarding and begin working remotely with the Workbolt AI team.


Contract Information Talent Network members participate as independent contractors on project-based engagements. Joining the network does not create an employment relationship or guarantee a minimum amount of work. Experts must not use or disclose confidential, proprietary, material non-public, or restricted information, datasets, models, or source code belonging to any current or former employer, client, or institution. Workbolt AI considers qualified applicants without regard to legally protected characteristics and supports reasonable accommodations where applicable.


Responsibilities

  • Design realistic full-stack engineering tasks spanning product requirements, frontend architecture, backend services, APIs, data models, authentication, testing, deployment, and end-to-end performance.
  • Evaluate AI-generated frontend and backend code, architectures, and explanations for correctness, usability, security, scalability, maintainability, data integrity, and production readiness.
  • Develop evaluation criteria, test cases, scoring rubrics, reference implementations, and exemplar solutions that define professional-quality full-stack engineering work.
  • Provide precise technical feedback identifying UI defects, API mismatches, data-modeling errors, security weaknesses, performance bottlenecks, weak abstractions, incomplete tests, or deployment risks.
  • Work independently within project instructions and quality standards, document assumptions and dependencies, incorporate reviewer feedback, meet deadlines, and promptly communicate blockers or risks.

Benefits

  • Competitive project-based compensation of $70-$150 per hour, depending on the engagement and your experience.
  • Flexible, fully remote contract opportunities designed to accommodate independent schedules.
  • Access to future full-stack engineering and AI-evaluation projects matched to your expertise, interests, and availability.

Pay

$70-$150/hr


Workbolt is an AI-training platform from Ocular AI (Y Combinator W24, San Francisco). Talent-network roles are open applications for future projects; sign up free on Workbolt to apply.

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