Remote ML & NLP Expert — Part-Time (20h/w)

Weekday AI; 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

Weekday AI is seeking experienced Machine Learning & NLP Experts for a part-time, fully remote role. You will design and evaluate ML/NLP tasks, create reference solutions, and assess model performance to improve capabilities.

This independent contractor position requires about 20 hours per week with weekly payments. The role focuses on building rigorous evaluation tasks, leveraging Python and modern ML frameworks, and collaborating with a team of subject matter experts.

Qualifications

• Deep hands-on experience in ML/NLP through industry, research, or graduate work.
• Strong Python skills with ML/NLP development experience.
• Knowledge of model training, evaluation, transformers, and NLP pipelines.
• Experience with PyTorch, TensorFlow, or HuggingFace Transformers.
• Ability to commit ~20 hours per week remotely.

Responsibilities

• Design real-world ML and NLP tasks across ML model development, NLU, NLG, IR, and LLMs.
• Develop reference solutions and integrate tasks into evaluation environments using Python.
• Build evaluation frameworks and assess model outputs for correctness.
• Identify capability gaps and provide detailed analyses.
• Create evaluation guidelines, rubrics, and quality standards.
• Collaborate with SMEs to ensure data quality.

Skills

Machine Learning

Natural Language Processing

Python

Model Training & Evaluation

Transformer Architectures

LLMs

Education

PhD or equivalent

Tools

PyTorch

TensorFlow

Hugging Face Transformers

Job description

Weekday AI is seeking experienced Machine Learning & NLP Experts for a part-time, fully remote role. You will design and evaluate ML/NLP tasks, create reference solutions, and assess model performance to improve capabilities.

This independent contractor position requires about 20 hours per week with weekly payments. The role focuses on building rigorous evaluation tasks, leveraging Python and modern ML frameworks, and collaborating with a team of subject matter experts.