W

Senior Machine Learning & NLP Expert - AI Research Initiative

weekday ai (yc w21) • United State
Remote
Apply
AI Summary

Join a cutting-edge AI research initiative as a Senior Machine Learning & NLP Expert. Design real-world tasks, create reference solutions, and evaluate AI model performance. This is a part-time, fully remote opportunity.

Key Highlights
Design challenging ML & NLP tasks
Create high-quality reference solutions
Evaluate AI model performance and identify gaps
Key Responsibilities
Design real-world machine learning and natural language processing tasks
Develop accurate reference solutions and integrate tasks into agentic development environments using Python
Evaluate AI model outputs for technical correctness, reasoning quality, and overall performance
Technical Skills Required
Machine Learning Natural Language Processing Python
Benefits & Perks
Competitive hourly compensation ($80-$110)
Fully remote work arrangement
Nice to Have
Experience in AI model evaluation or human-in-the-loop model assessment
Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embedding models, or multimodal AI systems

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

    Similar Jobs

    Explore other opportunities that match your interests

    Machine Learning and Deep Learning Engineer

    Machine Learning
    •
    3h ago
    Visa Sponsorship Relocation Remote
    Job Type Full-time
    Experience Level Mid-Senior level

    Haystack

    United State

    Senior MLOps Engineer - Generative AI & Large Language Models

    Machine Learning
    •
    5h ago

    Premium Job

    Sign up is free! Login or Sign up to view full details.

    •••••• •••••• ••••••
    Job Type ••••••
    Experience Level ••••••

    weekday ai (yc w21)

    United State

    Senior Machine Learning Engineer - Energy Forecasting

    Machine Learning
    •
    9h ago

    Premium Job

    Sign up is free! Login or Sign up to view full details.

    •••••• •••••• ••••••
    Job Type ••••••
    Experience Level ••••••

    camus

    United State

    Subscribe our newsletter

    New Things Will Always Update Regularly