Senior AI Coding Benchmark Designer and Engineer

G2i Inc. โ€ข Mexico
Remote
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AI Summary

Design and build coding benchmarks and evaluation pipelines for frontier AI models. Requires 4+ years of software engineering experience and expertise in Python, Git, and modern development workflows.

Key Highlights
Design and build coding benchmarks and evaluation pipelines
Evaluate frontier AI models on real-world programming tasks
Analyze model-generated code for correctness and reliability
Key Responsibilities
Design and build coding benchmarks that evaluate frontier models on real-world programming tasks
Build and maintain scalable data pipelines for evaluation workflows
Analyze model-generated code for correctness, reliability, and edge-case failures
Technical Skills Required
Python Git Modern development workflows LLM coding benchmarks Data pipelines Model-generated code analysis
Benefits & Perks
Fully remote work
$80-$100/hour compensation
Weekly payment via PayPal or Stripe
Nice to Have
Senior or Lead-level profile with a history of technical ownership
Bachelor's or Master's in CS, ML, or related field (or equivalent professional experience)
Proficiency in additional languages: JavaScript, Go, C++, or others

Job Description


Before Applying

This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying โ€” we're unable to process applications from unlisted locations. List of accepted countries and locations.

For US applicants: This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment, guaranteed hours, or employer sponsorship. We are unable to provide offer letters or employment verification for this role.


What You'll Be Doing

Design and build the coding benchmarks and evaluation pipelines used to test frontier AI models on real software engineering work:

  • Design coding benchmarks that evaluate frontier models on real-world programming tasks โ€” reasoning, debugging, and production-quality code
  • Build and maintain scalable data pipelines for evaluation workflows
  • Analyze model-generated code for correctness, reliability, and edge-case failures
  • Construct structured evaluation scenarios across large repos and multi-language environments
  • Provide detailed technical feedback on model performance and failure patterns
  • Contribute to evaluation frameworks that set the bar for how coding ability is measured

End result: benchmarks that meaningfully separate what frontier models can and can't do โ€” and shape how the next generation is trained and improved.

AI coding evaluation in one line: Design task โ†’ build harness โ†’ run model โ†’ analyze failures โ†’ feed findings back into the benchmark โ†’ evaluations that actually distinguish strong models from weak ones.


What You'll Need

  • 4+ years of professional software engineering experience (non-negotiable)
  • Expert Python โ€” clean, performant, well-tested code
  • Hands-on experience working in large, complex codebases
  • Proven experience designing and implementing LLM coding benchmarks and evaluation data pipelines
  • Strong command of Git and modern development workflows
  • Track record at a high-growth tech company or top-tier software organization
  • Strong written English communication

Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence.


Nice to have

  • Senior or Lead-level profile with a history of technical ownership
  • Bachelor's or Master's in CS, ML, or related field (or equivalent professional experience)
  • Proficiency in additional languages: JavaScript, Go, C++, or others
  • CI/CD experience and writing robust unit tests (pytest, Mocha, JUnit)
  • Background in security engineering or significant open-source contributions
  • Familiarity with AI/ML evaluation methodologies or model benchmarking


Logistics

  • Location: Fully remote โ€” work from anywhere on the accepted locations list
  • Compensation: $80โ€“$100/hr based on location and seniority
  • Contract length: 3 months, with potential for extension
  • Hours: Full-time availability preferred โ€” hours vary by project and are not guaranteed week to week
  • Engagement: 1099 independent contractor
  • Payment: Weekly via PayPal or Stripe


โš ๏ธ Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.


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