Crossing Hurdles

Machine Learning Engineer | $200/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of 1 month, offering $200/hr, fully remote. Key skills include proficiency in Go, backend development, and experience in debugging and testing. A degree in Software Engineering or Computer Science is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
200
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πŸ—“οΈ - Date
October 29, 2025
πŸ•’ - Duration
1 to 3 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #Base #AI (Artificial Intelligence) #Scala #Debugging #Computer Science #Programming #Data Science
Role description
At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting-edge AI models. Position: Backend Software Engineer (Go) Type: Hourly Contract Compensation: $200/hour median average pay (base $90/hour plus lucrative bonuses per approved task) Location: Remote Duration: 1 month Commitment: 10–40 hours/week, fully remote and asynchronous Role Responsibilities (Training support will be provided) β€’ Develop and validate coding benchmarks in Go by curating issues, solutions, and test suites from real-world repositories β€’ Ensure benchmark tasks include comprehensive unit and integration tests for solution verification β€’ Maintain consistency and scalability of benchmark task distribution β€’ Provide structured feedback on solution quality and clarity β€’ Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications β€’ Strong experience as a backend software engineer, machine learning engineer, or applied data scientist β€’ Degree in Software Engineering, Computer Science, or related field β€’ Strong proficiency in Go programming language β€’ Experience with debugging, testing, and validating code β€’ Comfortable with technical writing and attention to detail Application process: (Takes 20 min) 1. Upload resume 1. AI interview based on your resume (15 min) 1. Submit form