Machine Learning Engineer | $200/hr Remote | Mercor

Crossing Hurdles; United Kingdom; Remote; GBP 170,532 - 242,879; Part time

Job summary

A recruitment firm is looking for a skilled backend engineer to develop coding benchmarks remotely. Candidates should have strong experience in backend software engineering, especially with Go programming. Responsibilities include validating benchmarks, ensuring comprehensive testing, and providing feedback on solutions. This part-time position offers a competitive pay rate of $200/hour. Ideal candidates will possess a degree in Software Engineering or a related field and have experience in debugging and technical writing.

Qualifications

• Strong experience as a backend software engineer or machine learning engineer.
• Proficient in Go programming language.
• Experience with debugging, testing, and validating code.

Responsibilities

• Develop and validate coding benchmarks in Go.
• Ensure benchmark tasks include comprehensive unit and integration tests.
• Provide structured feedback on solution quality.

Skills

Backend software engineering

Go programming

Debugging and testing

Technical writing

Education

Degree in Software Engineering or related field

Job description

This range is provided by Crossing Hurdles. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200.00/hr - $200.00/hr

Crossing Hurdles is a recruitment firm connecting experienced backend engineers with leading AI research labs to advance intelligent systems through coding benchmark development.

Organization: Mercor

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)

• Upload resume
• AI interview based on your resume (15 min)