Skip to main content
100 years and 55 days since the five-day weekRead the story

Angular Developer

Part time$30 - $90/hrRemote · USA

Pay: $30-$90 per hour (USD).

Job Title: Angular Developer

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

• Leverage deep expertise in Angular to analyze, review, and critique real-world software engineering tasks.

• Evaluate and enhance front-end codebases, focusing on best practices for scalability and maintainability.

• Provide clear, actionable feedback to guide model learning and performance related to Angular development.

• Collaborate with cross-functional teams to simulate real development scenarios, identifying edge cases and complex challenges.

• Apply RxJS and advanced SCSS/SASS knowledge to assess and validate intricate code patterns and workflows.

• Clearly document findings and solutions with strong attention to written detail.

• Demonstrate exceptional verbal communication, sharing insights and recommendations with stakeholders.

Required Skills and Qualifications:

• Extensive hands-on experience with Angular for front-end application development.

• Expert-level proficiency in RxJS for state management and reactive programming.

• Deep understanding of SCSS/SASS for scalable, maintainable stylesheets.

• Strong command of both written and verbal communication, emphasizing clarity and impact.

• Proven analytical and problem-solving abilities in complex coding scenarios.

• Ability to work independently in a remote, asynchronous environment.

• Commitment to high-quality, detail-oriented deliverables.

Preferred Qualifications:

• Experience critiquing or designing AI-driven applications or systems.

• Exposure to large-scale, enterprise-level Angular projects.

• Familiarity with training or evaluating technical solutions for machine learning or data-driven applications.