Nexus Consulting

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Machine Learning Engineer contract position, remote, paying $100–$120 per hour. Requires 3+ years in ML engineering, hands-on model development, and strong communication skills. Experience in industry labs or academic settings is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
February 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Classification #AI (Artificial Intelligence) #Debugging
Role description
• Title: Machine Learning Engineer • Employment Type: Hourly Contract • Location: Remote • Compensation: $100–$120 per hour Role One of our clients is hiring a Machine Learning Engineer to support the evaluation of advanced machine learning systems for a leading AI research initiative. This project-based role focuses on transforming real-world ML engineering workflows into structured evaluation benchmarks for frontier AI models. About the Role This position is ideal for experienced ML engineers or applied researchers who enjoy deep technical reasoning, experimentation, and system-level thinking. You will contribute directly to how cutting-edge AI systems are evaluated on practical machine learning engineering tasks. Key Responsibilities • Design and write detailed evaluation suites for real-world machine learning engineering tasks • Translate applied ML research and engineering workflows into structured benchmarks • Evaluate AI-generated solutions related to model training, debugging, optimization, and experimentation • Reason about ML system design choices, tradeoffs, and performance implications • Produce clear, technically precise written assessments Ideal Qualifications • 3+ years of experience in machine learning engineering or applied ML research • Hands-on experience with model development, experimentation, and evaluation • Background in ML research within an industry lab or academic setting (strongly preferred) • Strong understanding of ML system design and optimization tradeoffs • Excellent written communication skills and high attention to technical detail More About the Opportunity • Fully remote, asynchronous work completed on your own schedule • Project-based engagement with potential extensions based on performance and project needs • Weekly payments via Stripe or Wise • Independent contractor classification • No access to confidential or proprietary employer or client data Apply Now