Devops engineer h1.location_city
[job_alerts.create_a_job]
Devops engineer • lowell ma
Remote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)
MercorLowell, Massachusetts, US- [promoted]
Reliability Engineer
Motion RecruitmentAndover, MA, United States- [promoted]
Systems Engineer
Chipton-RossChelmsford, MA, United States- [promoted]
QA Automation Engineer
test company name 62Chelmsford, MA, USComponents Engineer
The Structures Company, LLCAndover, MA, United StatesAcoustic Engineer
Noise Control EngineeringBillerica, MA, USAManufacturing Engineer
GpacLowell, Massachusetts, United StatesQuality Engineer
Katalyst HealthCares & Life SciencesChelmsford, MAFirmware Engineer
Schneider ElectricAndover, MA, USSenior DevOps Engineer (Spacelift)
DeWinter GroupNorth Billerica, MA- [promoted]
Components Engineer
Butler Aerospace and DefenseAndover, MA, USDesign Engineer
Vicor CorporationAndover, MA, US- [promoted]
Components Engineer
Butler AmericaAndover, MA, United StatesSafety Engineer
Geologics CorporationTewksbury, MA, USStationary Engineer
MalaceHRAndover, MA, United StatesQuality Engineer
MillenniumSoftAndover, MASSACHUSETTS- [promoted]
Industrial Engineer
OSI SystemsBillerica, MA, United States- [promoted]
Sr. DevOps Engineer
Magna ServicesLowell, MA, United StatesSoftware Developer VI
General AtomicsTyngsborough, MassachusettsRemote DevOps / Platform Engineer Talent Network - AI Trainer ($70-$150 per hour)
MercorLowell, Massachusetts, US- [job_card.part_time]
- [filters.remote]
- 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.