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Chinese Speaking Software Engineer Jobs (NOW HIRING)

$150 - $200/hr

Jobs / NLP Algorithm Engineer (Chinese speaking) NLP Algorithm Engineer (Chinese speaking ... Proficient in Python and general software engineering principles (github, testing, dev workflow)

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Chinese Speaking Software Engineer information

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How much do chinese speaking software engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for chinese speaking software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Chinese Speaking Software Engineer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

NLP Algorithm Engineer (Chinese speaking)

On-site

$150 - $200/hr

Other

Posted 7 days ago


Job description

Jobs / NLP Algorithm Engineer (Chinese speaking)

NLP Algorithm Engineer (Chinese speaking)

Full-time

About the RoleResponsibilities

Responsibilities include:

  • Building NLP datasets and pipelines to derive features
  • Formulating research hypotheses to derive alpha
  • Building and testing the performance of trading signals based on NLP and financial features
  • Launching identified signals into production
Requirements
  • Master’s or PhD graduate or candidate in computer science or another quantitative discipline
  • Proficient in Python and general software engineering principles (github, testing, dev workflow)
  • Strong Machine Learning/Statistics understanding
  • Interest in financial markets
  • Collaborative mindset
Preferred Qualifications
  • Prior research experience
  • Prior experience (fulltime or internship) in software development
  • Experience with deep learning, specifically NLP – PyTorch, HuggingFace, LLMs, etc.
  • Data science stack familiarity
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