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Machine learning Jobs in Wichita Falls, TX
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Machine learning • wichita falls tx
Remote Machine Learning Engineer - AI Trainer ($80-$120 per hour)
MercorWichita Falls, Texas, USMachine Field Tech I
Warren Equipment CompanyWichita Falls, TX, United StatesStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseTexas, United StatesThe average salary range is between $ 145,250 and $ 223,751 year , with the average salary hovering around $ 173,350 year .
- medical director (from $ 60,000 to $ 240,000 year)
- machine learning engineer (from $ 159,200 to $ 226,625 year)
- vp engineering (from $ 175,000 to $ 225,000 year)
- vp of engineering (from $ 187,500 to $ 225,000 year)
- machine learning (from $ 145,250 to $ 223,751 year)
- computer engineering (from $ 62,455 to $ 216,200 year)
- hardware engineer (from $ 95,279 to $ 216,200 year)
- rf engineer (from $ 109,485 to $ 216,200 year)
- creative director (from $ 107,460 to $ 214,375 year)
- communications director (from $ 82,482 to $ 212,500 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)
MercorWichita Falls, Texas, 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.