DevOps / Platform Engineer Talent Network
Posted 2 hours ago
You'll apply on the company's website.
About the Role
We are seeking skilled Platform and DevOps Engineers to join an exclusive professional network. This serves as a standing application to link elite technical talent with pioneering AI labs and tech-forward organizations. Once you build your profile and pass our automated interview assessment, you will qualify for tasking that matches your specific expertise and interests. By joining, you help drive the progress of cutting-edge AI. Your primary focus will involve developing and assessing models tailored to DevOps and platform engineering. You will also create intricate, real-world infrastructure scenarios and offer expert guidance to support research efforts. Engagements are flexible, typically requiring 15 to 30 hours of work per week.
Requirements
- Extensive professional background in handling CI/CD pipelines and cloud infrastructure, specifically AWS, Azure, or GCP.
- Strong mastery of orchestration and containerization platforms like Kubernetes and Docker.
- Excellent communication abilities to articulate technical information and provide actionable insights.
- Capability to operate autonomously in a completely remote and distributed setting.
Responsibilities
- Train and assess AI models by applying DevOps and platform engineering standards.
- Develop technical assignments and outcomes based on authentic industry challenges to ensure high-quality, relevant results.
- Deliver specialized domain feedback to accelerate the development of advanced AI research.
- Align your professional expertise with available project opportunities.
- Commit to a weekly workload of 15 to 30 hours, depending on current project requirements.
Benefits & Perks
- Complete autonomy to work from any location on a flexible schedule.
- Highly competitive compensation for all completed assignments.
- Opportunities to partner with premier organizations at the forefront of AI research.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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