DevOps & SDLC Engineer - AI Trainer

DevOps & SDLC Engineer - AI Trainer

DataAnnotation

El Paso, TX • On-site, Remote

$60/hr

Full-time

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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 proficient programmers 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 Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour. Opportunities for higher‐paying projects are available with strong performance.

Impact: help shape the future of AI technologies. Responsibilities Design and solve diverse coding problems used to train AI systems with an emphasis on Android development. Write clear, high‐quality code snippets and detailed explanations.

Evaluate AI‐generated code for accuracy, performance, and clarity. Provide feedback that directly shapes the next generation of AI models. Qualifications Fluency in English (native or bilingual level).

Preferred experience in Kotlin. Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and grammar skills.

A bachelor's degree (completed or in progress). Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. 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. #J-18808-Ljbffr




Frequently asked questions

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

A: To succeed as a DevOps Engineer, key technical skills include proficiency in automation tools such as Ansible, Puppet, or Chef, as well as experience with containerization using Docker and orchestration with Kubernetes. Additionally, strong knowledge of cloud platforms like AWS, Azure, or Google Cloud, and scripting languages like Python or Bash, are essential. Soft skills like effective communication, problem-solving, and collaboration are also crucial, as DevOps Engineers must work closely with cross-functional teams to identify and resolve issues efficiently.

Q: What is the career path for a Devops Engineer?

A: A DevOps Engineer's typical career progression involves starting as a Junior DevOps Engineer, where they focus on implementing automation tools and processes, then advancing to a Mid-Level DevOps Engineer, where they lead teams and develop more complex infrastructure solutions. As they gain experience, they can move into Senior DevOps Engineer or Engineering Manager roles, overseeing large-scale deployments and mentoring junior engineers. Key opportunities for skill development include learning cloud computing, containerization, and security, as well as developing soft skills like communication and project management, which can lead to long-term career prospects in leadership, architecture, or specialized fields like cloud engineering or security consulting.



DataAnnotation job posting for a DevOps & SDLC Engineer - AI Trainer in El Paso, TX with a salary of $60 Hourly with a map of El Paso location.