Copy of Senior Python Developer (AI Evaluation & Benchmarking)

Lifted (an Upwork Company); Argentina; Remote; ARS 167,063,000 - 208,829,000; Full time

Benefits offered by this job

Fully remote contract

Weekly payments

Flexible workload 10–39 hours

Job summary

Lifted (an Upwork Company) seeks experienced Senior Python Developers to help build the next generation of AI evaluation systems. You will design benchmarks, assess AI-generated code, and improve model reasoning, reliability and performance across large, multi-language codebases.

The role is fully remote, with workload expectations of 10–39 hours per week and weekly payments for completed work, focusing on high-growth AI platforms and open collaboration with cross-functional teams.

Qualifications

• 4+ years of professional software engineering experience.
• Expert-level proficiency in Python.
• Experience at a high-growth tech company or top-tier software organization.
• Proficiency in at least one additional language such as JavaScript, Go, or C++.
• Experience with CI/CD and automated testing frameworks.

Responsibilities

• Design and develop coding benchmarks to evaluate frontier AI models.
• Analyze AI-generated code for correctness, reliability, and edge cases.
• Build and maintain scalable data pipelines for AI evaluation workflows.
• Create structured programming scenarios to test reasoning, debugging, and code quality.
• Work with large codebases in multi-language environments.
• Collaborate to improve how AI models understand, generate, and evaluate software.
• Write clean, maintainable Python code following best practices.

Skills

Python

CI/CD

Code quality

Tools

pytest

Mocha

JUnit

Job description

This opportunity is ideal for senior software engineers with strong Python expertise who enjoy writing high-quality code, reviewing technical solutions, and working on AI-related projects.

What You\'ll Do:

• Design and develop coding benchmarks used to evaluate frontier AI models.
• Analyze AI-generated code for correctness, reliability, efficiency, and edge cases.Build and maintain scalable data pipelines that support AI evaluation workflows.
• Create structured programming scenarios to test reasoning, debugging, and code quality.
• Work with large codebases and multi-language software environments.
• Collaborate with teams focused on improving how AI models understand, generate, and evaluate software.
• Write clean, maintainable, and well-tested Python code following software engineering best practices.

Requirements:

• 4+ years of professional software engineering experience (required).
• Expert-level proficiency in Python.
• Experience working at a high-growth technology company or top-tier software organization.
• Proficiency in at least one additional programming language such as JavaScript, Go, C++, or similar.
• Experience with CI/CD pipelines and automated testing frameworks such as pytest, Mocha, or JUnit.
• Strong understanding of software engineering best practices, debugging, and code quality.
• Excellent analytical and problem-solving skills.

Nice to Haves:

• Experience with AI/ML evaluation, model benchmarking, or Generative AI.
• Background in security engineering.
• Significant contributions to open-source software projects.
• Experience working with large-scale distributed systems or enterprise software platforms.
• Fully remote contract opportunity.
• Compensation ranges from $80–$100 USD per hour .
• Expected workload is 10–39 hours per week , depending on project needs.
• Weekly payments for approved work completed during the previous week.
• Work volume may fluctuate throughout the duration of the engagement.

An enterprise client is seeking experienced Senior Python Developers to help build the next generation of Artificial Intelligence systems. This opportunity support the client who is a leading AI platform that enables organizations to build intelligent applications through high-quality human feedback, AI evaluation, and model alignment. The selected consultants will contribute to AI research by designing programming benchmarks, evaluating AI-generated code, and helping improve the performance, reasoning, and reliability of frontier AI models. This is an excellent opportunity for experienced software engineers who enjoy solving complex technical problems while contributing to the future of Generative AI.