远程工作雷达

高级Python开发工程师(AI评估与基准测试)

Senior Python Developer (AI Evaluation & Benchmarking)

AI开发工程限定地区(需当地身份)
公司Lifted, an Upwork Company™
薪资未公开
工作地点Texas City, TX, United States
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Contract
发布时间2026-06-29
数据来源SmartRecruiters
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一家企业客户正在寻找有经验的高级Python开发人员,以帮助构建下一代人工智能系统。这个机会支持一家领先的AI平台,该平台使组织能够通过高质量的人类反馈、AI评估和模型对齐来构建智能应用。

入选的顾问将通过设计编程基准、评估AI生成的代码以及帮助提高前沿AI模型的性能、推理能力和可靠性来参与AI研究。这对喜欢解决复杂技术问题并为生成式AI的未来做出贡献的经验丰富的软件工程师来说是一个绝佳的机会。

这个机会适合具有强大Python技能并喜欢编写高质量代码、审查技术解决方案和从事AI相关项目的高级软件工程师。

你将负责:
· 设计和开发用于评估前沿AI模型的编码基准。
· 分析AI生成的代码的正确性、可靠性、效率和边缘情况。
· 构建和维护支持AI评估工作流的可扩展数据管道。
· 创建结构化的编程场景以测试推理、调试和代码质量。
· 与多语言软件环境中的大型代码库协作。
· 与专注于改进AI模型理解、生成和评估软件的团队合作。
· 按照软件工程最佳实践编写干净、可维护且经过充分测试的Python代码。

要求:
· 4年以上专业软件工程经验(必须)。
· 精通Python。
· 在高增长科技公司或顶级软件组织工作的经验。
· 精通至少一种其他编程语言,如JavaScript、Go、C++或类似语言。
· 具备CI/CD流水线和自动化测试框架(如pytest、Mocha或JUnit)的经验。
· 对软件工程最佳实践、调试和代码质量有深刻理解。
· 出色的分析和解决问题的能力。

加分项:
· 具有AI/ML评估、模型基准测试或生成式AI的经验。
· 安全工程背景。
· 在开源软件项目中有重大贡献。
· 具有大规模分布式系统或企业软件平台的工作经验。

  • 全程远程合同职位。
  • 薪资范围为每小时80至100美元。
  • 预期工作量为每周10至39小时。
查看英文原文

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.

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.
  • 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.
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