Machine Learning & NLP Expert

Weekday AI

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Work arrangement
Remote
Occupation
Data & Analytics
Location
US
Compensation
Not disclosed
Apply by
April 14, 2027

About this role

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 experiencedMachine Learning & NLP Expertsto 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 apart-time, fully remoteopportunity requiring approximately20 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 usingPython.
  • 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 inMachine Learningand/orNatural Language Processingthrough industry, research, or graduate/PhD-level work.
  • Strong proficiency inPythonwith 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 asPyTorch,TensorFlow,Hugging Face Transformers, or equivalent.
  • Ability to commit approximately20 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 anindependent 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 madeweekly via Stripe or Wisebased on services rendered.
  • Please note:We are unable to supportH1-BorSTEM OPTcandidates at this time.
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