Natural Language Processing (NLP) Engineer (Remote | $80 –$110/hr)

Call For Referral is seeking experienced Machine Learning and Natural Language Processing (NLP) professionals to contribute to advanced AI research and evaluation projects. The role involves designing real-world ML and NLP tasks, developing solutions, and evaluating AI models to enhance their capabilities.

Responsibilities:

• Design challenging, real-world machine learning and NLP tasks based on practical industry or research experience
• Develop reference implementations and executable solutions using Python
• Build evaluation frameworks to assess the performance of AI models on complex ML and NLP challenges
• Analyze model behavior and identify reasoning, capability, and performance gaps
• Classify model failures and provide actionable feedback to improve model quality
• Collaborate with fellow domain experts to ensure evaluation consistency and technical accuracy
• Document methodologies, assumptions, and evaluation results clearly and accurately

Requirements:

• Deep hands-on experience in Machine Learning and/or Natural Language Processing through industry, research, or graduate-level work
• Strong working proficiency in Python for machine learning development and experimentation
• Solid understanding of modern machine learning and NLP techniques, including model training, evaluation, transformers, large language models (LLMs), and related tooling
• Experience designing, developing, or evaluating machine learning systems and workflows
• Strong analytical and problem-solving skills
• Excellent written communication skills
• Ability to work independently and commit approximately 20 hours per week
• Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Natural Language Processing, or a related field
• Experience with AI model evaluation, AI training, data annotation, or reinforcement learning from human feedback (RLHF)
• Experience building production-grade ML or NLP systems
• Contributions to open-source projects, research publications, or applied AI initiatives
• Familiarity with agentic AI systems and LLM evaluation methodologies