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Machine learning Jobs in Greeley, CO
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Machine learning • greeley co
Remote Machine Learning Engineer - AI Trainer ($80-$120 per hour)
MercorGreeley, Colorado, US- Promoted
Part-Time : Tutor III, Learning Commons
InsideHigherEdEvans, Colorado, United States- Promoted
Office Manager Firestone Location
The Learning ExperienceGreeley, CO, USPart-Time : Tutor I, Learning Commons
Aims Community CollegeGreeley, CONon-Bilingual Part-Time Facilitator, Adult Learning Lab
Aims Local College DistrictGreeley, Colorado, USAExperienced Preschool Teacher
The Learning Experience #383Greeley, Colorado, USA- Promoted
Experienced Preschool Teacher
The Learning Experience#383Greeley, CO, US- New!
Experienced Toddler Teacher
The Learning Experience #383Greeley, CO, USStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseColorado, United StatesFacility Caretaker, Poudre Learning Center
GreeleyGreeley, Colorado, USA- assistant superintendent (from $ 51,500 to $ 186,853 year)
- public works director (from $ 146,876 to $ 182,000 year)
- automation (from $ 76,782 to $ 167,050 year)
- field operator (from $ 37,050 to $ 167,050 year)
- cloud engineer (from $ 123,750 to $ 160,000 year)
- operations engineer (from $ 67,800 to $ 144,375 year)
- systems analyst (from $ 54,400 to $ 141,440 year)
- developer (from $ 70,000 to $ 141,250 year)
- physician assistant (from $ 106,889 to $ 140,400 year)
- Grand Rapids, MI (from $ 177,531 to $ 240,706 year)
- Lansing, MI (from $ 109,700 to $ 240,100 year)
- Simi Valley, CA (from $ 136,688 to $ 235,450 year)
- Spokane Valley, WA (from $ 135,458 to $ 234,943 year)
- Charleston, SC (from $ 112,230 to $ 233,350 year)
- Chula Vista, CA (from $ 174,990 to $ 229,500 year)
- Fairfield, CA (from $ 151,875 to $ 227,500 year)
- Sunnyvale, CA (from $ 150,000 to $ 225,000 year)
- Hampton, VA (from $ 107,500 to $ 225,000 year)
- Wichita Falls, TX (from $ 145,250 to $ 223,751 year)
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
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Remote Machine Learning Engineer - AI Trainer ($80-$120 per hour)
MercorGreeley, Colorado, US- Part-time
- Remote
At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d love to meet you.
## What to Expect As a Machine Learning Engineer, you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. -
- Schedule :
- Remote and asynchronous—set your own hours -
- Commitment :
- ~20 hours / week -
- Duration :
- Through December 22nd, with potential extension into 2026 ## What You’ll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You’ll Bring -
- Experience :
- 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) -
- Required Skills :
- Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. -
- Bonus :
- Contributor to ML benchmarks -
- Location :
- MUST be based in the United States ## Compensation & Terms -
- Rate :
- $80-$120 / hr, depending on region and experience -
- Payments :
- Weekly via Stripe Connect -
- Engagement :
- Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (<5 minutes) ## Why Mercor Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include
- Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey
- . Thousands of professionals across law, creative fields, engineering, and research use Mercor to work on frontier projects shaping the next era of AI.