AI Researcher (Remote | $80–$150/hr)

Job summary

Develop and validate machine learning models, training pipelines, inference systems, data pipelines, and evaluation frameworks. Build reproducible Python workflows, optimize performance and resource usage, and debug and verify implementations against correctness and performance requirements.

Job details

Machine Learning Engineer Position: Machine Learning Engineer Type: Contractor Compensation: $80–$150/hour Location: Global – Fully Remote About the Opportunity We are seeking experienced Machine Learning Engineers to support an AI training project involving model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role focused on building, debugging, reviewing, and validating challenging machine learning engineering tasks using Python and coding agents. Key Responsibilities Develop and validate machine learning models, training pipelines, and inference systems. Implement model components, data pipelines, evaluation frameworks, and numerical methods. Build reproducible workflows using Python and command-line tools. Optimize model performance, memory usage, and processing throughput. Debug numerical, software, and system-level failures. Verify implementations against objective correctness and performance requirements. Required Qualifications A Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a related quantitative field. Strong professional or research experience in machine learning. Practical proficiency in Python and coding agents. Experience developing, testing, and debugging machine learning systems. Relevant tools include: PyTorch and JAX NumPy and SciPy SGLang, vLLM, and llama.cpp Hugging Face Transformers and Tokenizers Equivalent tools demonstrating relevant expertise. Preferred Qualifications Experience at a recognized technology company, AI laboratory, research organization, or engineering environment. Strong academic or open-source contributions in machine learning. Experience with model training, inference optimization, numerical computing, and reproducible engineering workflows. Compensation $80–$150/hour, with output-based payment for tasks that meet project specifications. Independent contractor engagement. Approximately 15 hours per week. Flexible schedule, including weekends if desired. Minimum submission requirements apply. Approximately 100 openings available. Application Process Submit your application and complete the screening questions. Complete an approximately 30-minute AI interview. Complete the hiring manager review. Begin your first task within 24–48 hours of onboarding if selected. Candidates should be available to start immediately, as positions are typically filled within 48 hours.

What you’ll do

Develop and validate machine learning models, training pipelines, inference systems, data pipelines, and evaluation frameworks. Build reproducible Python workflows, optimize performance and resource usage, and debug and verify implementations against correctness and performance requirements.

Requirements

Requires a master’s degree or PhD in a relevant quantitative field, strong professional or research experience in machine learning, and practical proficiency in Python and coding agents. Candidates should have experience developing, testing, and debugging machine learning systems, with relevant expertise in tools such as PyTorch, JAX, NumPy, SciPy, and model-serving frameworks.

Listed skills

• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Python
• Model Development
• Model Training
• Inference Systems
• Numerical Computing
• Performance Optimization
• PyTorch
• JAX
• NumPy
• SciPy
• SGLang
• vLLM
• llama.cpp
• Hugging Face Transformers
• Debugging

Job areas

• Technology
• Software
• Science & Research
• Engineering
• Data & Analytics

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