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Remote Software Engineer - US - AI Trainer ($50-$85 per hour)
Remote Software Engineer - US - AI Trainer ($50-$85 per hour)Mercor • Arlington, Texas, US
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Remote Software Engineer - US - AI Trainer ($50-$85 per hour)

Remote Software Engineer - US - AI Trainer ($50-$85 per hour)

Mercor • Arlington, Texas, US
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[job_preview.job_type]
  • [job_card.full_time]
  • [filters.remote]
[job_card.job_description]

Mercor is partnering with leading AI labs to recruit

  • skilled Software Engineers
  • for cutting-edge research initiatives. These projects focus on
  • writing and reviewing full unit test suites
  • for complex open-source codebases across a variety of languages and frameworks.
  • ### About the Role This project involves : - Writing and reviewing comprehensive unit tests for high-complexity code repositories. - Interfacing directly with leading AI researchers from top-tier labs. - Working fully asynchronously, on your own schedule. - A commitment of 15–40 hours / week depending on your availability and performance.
  • ### You’re a Strong Fit If You : - Have 2+ years of experience (professional or open-source) in Java, TypeScript, JavaScript, Python or Go. - Have hands-on experience writing unit tests in at least one of the above languages. - Have contributed to complex open-source projects (strong experience required). - Are comfortable working with Docker and containerized environments.
  • ### Work Terms & Compensation - Contractor Status : You’ll be an _at-will_ contractor to Mercor. - Flexible Pay : Weekly payouts via Stripe Connect, based on logged hours. - Competitive Hourly Rate : Adjusted to your location and experience.
  • ### Why Join? - Direct collaboration with AI labs at the forefront of research. - Work on high-impact codebases influencing major projects. - Opportunity to extend into future AI collaborations with Mercor, based on performance.
  • ### Application Instructions - Please include your GitHub profile in both your resume and the application form. - Your interview will exclusively focus on your open-source contributions — be prepared to discuss them in detail.
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