Crossing Hurdles

Machine Learning Engineer | $200/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a part-time Machine Learning Engineer position, offering $200/hr for 1 month, fully remote. Requires strong backend engineering experience, proficiency in Go, and a degree in a related field. Responsibilities include developing coding benchmarks and ensuring solution reliability.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
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💰 - Day rate
200
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🗓️ - Date
October 16, 2025
🕒 - Duration
1 to 3 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Data Science #Programming #Debugging #Scala #Base #Computer Science #ML (Machine Learning) #AI (Artificial Intelligence)
Role description
Crossing Hurdles is a recruitment firm connecting experienced backend engineers with leading AI research labs to advance intelligent systems through coding benchmark development. 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: Part-time, 10–40 hours/week, fully remote and asynchronous Role Responsibilities (Training support will be provided) • Develop and validate coding benchmarks in Go by curating issues, solutions, and test suites from real-world repositories • Ensure benchmark tasks include comprehensive unit and integration tests for solution verification • Maintain consistency and scalability of benchmark task distribution • Provide structured feedback on solution quality and clarity • Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications • Strong experience as a backend software engineer, machine learning engineer, or applied data scientist • Degree in Software Engineering, Computer Science, or related field • Strong proficiency in Go programming language • Experience with debugging, testing, and validating code • 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