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Last updated: 23 hours ago

Remote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)

MercorLubbock, Texas, US
Remote
Part-time

About Mercor’s talent network** Join our DevOps / Platform Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contra...Show more

Cloud Platform Engineer Intern

MaximusLubbock, US
Full-time

Essential Duties and Responsibilities: - Work on IT assignments of moderate difficulty under the direction of a more senior mentor to build a well-rounded skillset.Escalate issues and questions to ...Show more

Junior Data Scientist/Java full stack developer

Synergistic itLubbock, TX, US
Full-time

Applied Everywhere? Still No Interviews or Offers? Get Hired with a Process! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they're just being ...Show more

 • Promoted

Quext - Lead Integration Developer (Lubbock)

Madera ResidentialLubbock, TX, USA
Full-time

Work as part of an international team of developers to integrate a suite of web-based SAAS applications hosted in AWS with an ever expanding list of third party systems.Primary tech stack currently...Show more

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Remote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)

Remote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)

MercorLubbock, Texas, US
30+ days ago
Job type
  • Part-time
  • Remote
Job description
  • About Mercor’s talent network

Join our DevOps / Platform Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. This is an open application for future contract opportunities that match your background and interests. Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis. About Mercor projects Experts in our network contribute to : - Training and evaluating AI models in DevOps / Platform Engineering - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week. What we're looking for : - Professional experience in CI / CD pipelines, cloud infrastructure (AWS / GCP / Azure), containerization & orchestration (Docker / Kubernetes) - Strong communication skills - Ability to work independently in a remote environment How it works : This is not a specific job posting. By applying, you're joining our DevOps / Platform Engineer talent network. - Apply once : Complete your profile by uploading your resume and confirming your work location. - Get verified : We review your credentials and approve qualified experts. - Stay connected : When projects need DevOps / Platform Engineering expertise, we match you to opportunities based on your expertise and project needs. - Start working : Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.