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Machine Learning & NLP Expert

Weekday (YC W21)
Remote (United States)Part-time

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Full 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.

Upload your resume once and Scout applies for you

Apply with Scout