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Machine Learning & NLP Expert

23 hours, 53 minutes ago
United States
Part-time
Senior
AI Engineer
Data Science and Analytics
Feature Engineering LLM Machine Learning NLP Python PyTorch TensorFlow
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Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020
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Description

  • Design challenging machine learning and natural language processing tasks across model development, NLU, NLG, information retrieval, applied ML pipelines, and transformer/LLM use cases.
  • 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 and classify model failure modes.
  • Provide detailed written analyses of model performance and evaluation results.
  • Create and refine evaluation guidelines, scoring rubrics, and quality standards for ML and NLP tasks.
  • Collaborate with subject matter experts to ensure consistency, accuracy, and high-quality training data.

Requirements

  • 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 model training and evaluation, transformer architectures, large language models, NLP pipelines, feature engineering, and model optimization.
  • Experience with PyTorch, TensorFlow, Hugging Face Transformers, or equivalent frameworks.
  • Ability to commit approximately 20 hours per week.
  • Excellent written communication skills and ability to work independently in a remote environment.
  • Experience in AI model evaluation, AI training data creation, or human-in-the-loop model assessment (preferred).
  • Familiarity with RAG, vector databases, embedding models, or multimodal AI systems (preferred).
  • Experience building benchmarking frameworks, automated evaluation pipelines, or testing infrastructure (preferred).
  • Contributions to open-source ML/NLP projects or published research are a plus.
  • Experience working with production-scale machine learning systems (preferred).
  • Unable to support H1-B or STEM OPT candidates at this time.

Benefits

  • Compensation of $80-$110 per hour.
  • Fully remote work arrangement.
  • Approximately 20 hours per week.
  • Independent contractor engagement.
  • Weekly payments via Stripe or Wise.
  • Project duration may be extended based on performance and business needs.

Interested in this position?

Apply directly on the company website

Apply Now

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