Machine Learning & NLP Expert

Aimlroles; United States; Remote; USD 110,000 - 152,000; Part time

Benefits offered by this job

Fully Remote

Weekly payments via Stripe or Wise

Job summary

Aimlroles is seeking experienced Machine Learning and NLP experts for a remote, independent contractor role. You will design real-world ML/NLP tasks, create reference solutions, and assess model performance to improve capabilities while collaborating with experts.

Key qualifications include deep ML/NLP experience, Python proficiency, and familiarity with PyTorch, TensorFlow or Hugging Face transformers. About 20 hours per week, remote work, weekly payments via Stripe or Wise.

Qualifications

• Deep hands-on experience in Machine Learning and/or Natural Language Processing through industry, research, or graduate/PhD-level work.
• Strong proficiency in Python with practical experience developing ML or NLP applications.
• Strong understanding of modern machine learning techniques, including: Model Training and Evaluation, Transformer Architectures, Large Language Models (LLMs), NLP Pipelines, Feature Engineering and Model Optimization.

Responsibilities

• Design challenging, real-world machine learning and natural language processing tasks covering areas such as: Machine Learning Model Development and Evaluation, Natural Language Understanding (NLU), Natural Language Generation (NLG), Information Retrieval and Search, Applied Machine Learning Pipelines, Transformer Models and Large Language Models (LLMs).
• Develop accurate reference solutions and integrate tasks into agentic development environments using Python.
• Build executable evaluation frameworks and testing components where appropriate.
• Evaluate AI model outputs for technical correctness, reasoning quality, and overall performance.
• Identify capability gaps, classify model failure modes, and provide detailed written analyses.
• Create and refine evaluation guidelines, scoring rubrics, and quality standards for ML and NLP tasks.
• Collaborate with fellow subject matter experts to ensure consistency, accuracy, and high-quality training data.

Skills

Machine Learning

Natural Language Processing

Python

Model Training and Evaluation

NLP Pipelines

Transformer Models

LLMs

Education

Graduate/PhD-level work in ML/NLP

Tools

PyTorch

TensorFlow

Hugging Face Transformers

Job description

This role is for one of our clients

Compensation: $80-$110 per hour

Join a cutting-edge AI research initiative and help shape the next generation of frontier AI models. We are seeking experienced Machine Learning & NLP Experts to contribute their technical expertise toward training and evaluating advanced AI systems. In this role, you will design challenging, real-world machine learning and natural language processing tasks, create high-quality reference solutions, and assess AI model performance to identify reasoning gaps and improve overall capabilities.

This is a part-time, fully remote opportunity requiring approximately 20 hours per week.

Requirements

Key Responsibilities

• Design challenging, real-world machine learning and natural language processing tasks covering areas such as:
• Machine Learning Model Development and Evaluation
• Natural Language Understanding (NLU)
• Natural Language Generation (NLG)
• Information Retrieval and Search
• Applied Machine Learning Pipelines
• Transformer Models and Large Language Models (LLMs)

• Develop accurate reference solutions and integrate tasks into agentic development environments using Python.
• Build executable evaluation frameworks and testing components where appropriate.
• Evaluate AI model outputs for technical correctness, reasoning quality, and overall performance.
• Identify capability gaps, classify model failure modes, and provide detailed written analyses.
• Create and refine evaluation guidelines, scoring rubrics, and quality standards for ML and NLP tasks.
• Collaborate with fellow subject matter experts to ensure consistency, accuracy, and high-quality training data.

Required Qualifications

• Deep hands-on experience in Machine Learning and/or Natural Language Processing through industry, research, or graduate/PhD-level work.
• Strong proficiency in Python with practical experience developing ML or NLP applications.
• Strong understanding of modern machine learning techniques, including:
• Model Training and Evaluation
• Transformer Architectures
• Large Language Models (LLMs)
• NLP Pipelines
• Feature Engineering and Model Optimization

• Experience with industry-standard frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent.
• Ability to commit approximately 20 hours per week.
• Excellent written communication skills and the ability to work independently in a remote environment.

Preferred Qualifications

• Experience in AI model evaluation, AI training data creation, or human-in-the-loop model assessment.
• Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embedding models, or multimodal AI systems.
• Experience building benchmarking frameworks, automated evaluation pipelines, or testing infrastructure.
• Contributions to open-source ML/NLP projects or published research are a plus.
• Experience working with production-scale machine learning systems.

Role Details

• Employment Type: Independent Contractor
• Work Arrangement: Fully Remote
• Schedule: Approximately 20 hours per week
• Project Duration: Based on project requirements and performance, with opportunities for extension

Equal Opportunity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract & Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects may be extended, shortened, or concluded early depending on business needs and performance.
• Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are made weekly via Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.