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Machine learning engineer Jobs in Provo, UT
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Machine learning engineer • provo ut
Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)
MercorProvo, Utah, USSenior Software Engineer
Aptive EnvironmentalProvo, UTRemote Senior Data Scientist - AI Trainer
SuperAnnotateSpringville, Utah, USElectrical Engineer, Sources Development
MoxtekOrem, UT, USA- Promoted
Mechanical Engineer
Waterstone Human Capital (Formerly Spectrum Recruiting Solutions)Provo, UT, United StatesSenior Software Engineer
CaselleProvo, UT, USARemote Kotlin Engineer - AI Trainer
SuperAnnotateSpanish Fork, Utah, USBarista
Beans & BrewsSPRINGVILLE, UT, USASr. Mechanical Engineer
Teledyne FLIR Defense, Inc.UT,Orem,USInformation Security Engineer
Green Peak Staffing SolutionsOrem, United StatesField Service Engineer - Automation Industry
ProAutomated Inc.Provo, UT, USMachine Operator
LG ResourcesProvo, UT- Promoted
- New!
Machine Shop Supervisor
FlowserveSpringville, UT, United StatesMachine Shop Supervisor
FlowserveSpringville, Utah US3rd Shift Production Machine Operator
CandyCo LLCLindon, UT, USASite Reliability Engineer III - Neovest
JPMorgan Chase Bank, N.A.Orem, UT, USThe average salary range is between $ 122,071 and $ 150,625 year , with the average salary hovering around $ 135,000 year .
- creative director (from $ 96,000 to $ 235,250 year)
- architect (from $ 81,567 to $ 200,000 year)
- veterinarian (from $ 30,000 to $ 200,000 year)
- director of rehabilitation (from $ 90,000 to $ 181,350 year)
- rehab director (from $ 90,000 to $ 181,350 year)
- operations management (from $ 101,363 to $ 176,800 year)
- senior electrical engineer (from $ 97,500 to $ 169,750 year)
- lead engineer (from $ 130,000 to $ 168,375 year)
- product manager (from $ 72,850 to $ 168,000 year)
- senior software engineer (from $ 107,500 to $ 165,525 year)
- Lansing, MI (from $ 114,400 to $ 241,000 year)
- Cedar Rapids, IA (from $ 131,250 to $ 240,706 year)
- Grand Rapids, MI (from $ 133,750 to $ 240,706 year)
- Kent, WA (from $ 109,500 to $ 238,773 year)
- Simi Valley, CA (from $ 145,000 to $ 235,450 year)
- Spokane Valley, WA (from $ 145,000 to $ 235,450 year)
- Sunnyvale, CA (from $ 154,550 to $ 230,000 year)
- Bellevue, WA (from $ 140,000 to $ 229,250 year)
- Wichita Falls, TX (from $ 159,200 to $ 226,625 year)
- Austin, TX (from $ 144,900 to $ 225,000 year)
The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
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Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)
MercorProvo, Utah, US- Part-time
- Remote
- About Mercor’s talent network
Join our Machine Learning 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 Machine Learning 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 machine learning model development, Python & ML frameworks (PyTorch / TensorFlow), model deployment & MLOps - 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 Machine Learning 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 Machine Learning 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.