Appsierra
From Appsierra's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You will work across front-end and back-end systems to develop, solve, review, and validate complex engineering tasks.
We are seeking experienced Senior Full-Stack Software Engineers to contribute to AI training projects involving software development, debugging, system architecture, and code evaluation.
You will work across front-end and back-end systems to develop, solve, review, and validate complex engineering tasks. The role also involves evaluating AI-generated code and translating complete software implementations between programming languages.
Develop, modify, and debug front-end and back-end application components.
Build user-facing features and supporting APIs, services, and data models.
Analyze application architecture and trace data flows across browsers, services, databases, and external integrations.
Diagnose complex issues involving application state, authentication, APIs, networking, and deployment.
Work with unfamiliar codebases and multiple programming languages.
Translate software implementations between programming languages.
Review and evaluate AI-generated solutions for correctness, performance, security, and maintainability.
Required Qualifications & Skills
Strong professional experience developing production-grade full-stack applications.
Hands-on expertise in both front-end and back-end engineering.
Proficiency in multiple programming languages, including relevant experience with Python, JavaScript, TypeScript, Java, Node.js, React, Rust, or Go.
Strong understanding of browser applications, APIs, databases, application state, and service integrations.
Experience designing and working with complete software architectures.
Excellent debugging, analytical, and technical problem-solving skills.
Ability to navigate unfamiliar codebases and work independently.
Compensation is output-based, with payment for approved tasks meeting project specifications. The advertised rate is $50–$100 per hour, equivalent to $104,000–$208,000 annually at 40 hours per week.
The expected commitment is approximately 15 hours weekly. Minimum weekly task submission requirements apply, and actual earnings depend on approved tasks and workload.
Selection Process
Submit an application and complete screening questions.
Complete an approximately 30-minute AI interview.
Complete a technical assessment, if required.
Attend the hiring manager review.
Availability: Selected candidates should be ready to start within 24–48 hours of completing onboarding. Working hours are flexible, including weekends.
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in