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 . 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.

Requirements

Must-haves

This role is for one of our clients
Compensation: $80-$110 per hour
This is a part-time, fully remote opportunity requiring approximately 20 hours per week .
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.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonml

Platform: workable
Effort: medium