Machine Learning Engineer (Train AI Models Part Time!)

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role. 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 • Submit your resume. • Complete the System Design Session (Fill out the Machine Learning Engineer Screen (...). 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 Jac