Software Lifecycle Engineer - AI Trainer

Software Lifecycle Engineer - AI Trainer

DataAnnotation

Corona, CA • Remote

$40 - $75/hr

Part-time

Posted 21 days ago


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Benefits:

  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at $50-75+/hr, with bonuses on high-quality and high-volume work

Responsibilities:

  • Give AI chatbots coding challenges and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Experience with algorithms, data structures, and debugging workflows
  • A current, in progress, or completed Bachelor's is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

#coder




Frequently asked questions

Q: What skills or qualities help someone succeed as a Software Performance Engineer?

A: To succeed as a Software Performance Engineer, key technical skills include expertise in performance analysis tools (e.g., CPU profilers, memory analyzers), programming languages (e.g., C++, Java), and operating systems (e.g., Linux, Windows). Additionally, soft skills such as strong problem-solving abilities, effective communication, and collaboration with cross-functional teams are crucial for identifying and resolving performance bottlenecks. These strengths enable Software Performance Engineers to optimize system performance, troubleshoot complex issues, and drive business growth through efficient software development and deployment.

Q: What is the career path for a Software Performance Engineer?

A: A Software Performance Engineer's typical career progression involves starting as a Performance Engineer or Junior Performance Engineer, where they focus on identifying and resolving performance bottlenecks in software applications. As they gain experience, they can move into mid-level roles such as Senior Performance Engineer or Performance Architect, where they lead performance optimization efforts and develop performance strategies for complex systems. Ultimately, senior-level roles like Performance Engineering Manager or Director of Performance Engineering allow them to oversee performance engineering teams and drive performance excellence across the organization.