Finance NLP Machine Learning Engineer at AfterQuery

Finance NLP ML Engineer | $150–200/hr | Worldwide Remote | Project-Based Contract

AFTERQUERY is seeking a highly skilled Machine Learning Engineer or Researcher with deep expertise in Natural Language Processing (NLP) applied to financial data. This is a short-term, project-based remote engagement spanning 2–3 weeks, offering exceptional compensation and meaningful research exposure.

About the Role

You will work at the intersection of NLP and finance, tackling tasks such as model development, fine-tuning, and applied research across text-rich financial data sources including:

• Earnings calls and financial filings
• Market sentiment and news analytics
• Economic text corpora and other financial documents

Work is fully asynchronous and assigned on a project-by-project basis. You are expected to commit 10–20 hours per week for the projects you accept.

What You'll Gain

• Exceptional hourly compensation ($150–$200/hr)
• Exposure to cutting-edge finance NLP research
• A strong addition to your professional research portfolio

Required Qualifications

• At least one first-author publication in a peer-reviewed venue (ACL, EMNLP, NAACL, NeurIPS, or equivalent)
• Master's or PhD in Computer Science, Computational Linguistics, Statistics, Finance, or a related quantitative field
• Demonstrated expertise in NLP applied to financial data, markets, or economic text
• Strong problem-solving skills with the ability to work independently on complex technical and research tasks

This role is ideal for researchers and engineers who thrive in fast-paced, intellectually rigorous environments and want to apply their NLP expertise to real-world financial challenges.