Copy of Senior Python Developer (AI Evaluation & Benchmarking)
About the role
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.
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.
Qualifications
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.
Additional Information
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.
Hiring Process:
Submit your proposal. Complete a short qualification form provided by the client. Qualified candidates will receive an Upwork contract offer and onboarding instructions. After accepting the contract, candidates will gain access to the client's evaluation. Candidates who successfully pass the evaluation will be invited to a technical interview with the client.
Similar Jobs
Copy of Senior Python Developer (AI Evaluation & Benchmarking)
About the role
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.
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.
Qualifications
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.
Additional Information
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.
Hiring Process:
Submit your proposal. Complete a short qualification form provided by the client. Qualified candidates will receive an Upwork contract offer and onboarding instructions. After accepting the contract, candidates will gain access to the client's evaluation. Candidates who successfully pass the evaluation will be invited to a technical interview with the client.