7 of 7 Remote Benchmarking Jobs in Cambridgeshire

Development Lifecycle (SDL) practices. Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. Strong interpersonal skills. Excellent written and spoken English. In Return: You will have the opportunity to learn about the latest More ❯

Start-up experience is preferred Benefits & Perks Salary - We hire across 34+ countries. We determine salaries based on Geographic Location, Seniority, Interview Performance, and Market Rates using leading compensation benchmarking tools. 100% Remote - In a fully digital world, work from anywhere you want as long as there is a) 6 hrs timezone overlap with the UK timezone Flexi Time - Choose More ❯

Start-up experience is preferred Benefits & Perks Salary - We hire across 34+ countries. We determine salaries based on Geographic Location, Seniority, Interview Performance, and Market Rates using leading compensation benchmarking tools. 100% Remote - In a fully digital world, work from anywhere you want as long as there is a) 6 hrs timezone overlap with the UK timezone Flexi Time - Choose More ❯

weeks Commitment: 10-40 hours/week, flexible and asynchronous Role Responsibilities (Training support will be provided) Collaborate with AI researchers to develop realistic business scenarios for benchmarking and training advanced AI models. Design and review consulting-style prompts, responses, work products, and more. Provide expert feedback on logic, clarity, and business rigor. Work collaboratively within small teams to complete More ❯

and create comprehensive rubrics for assessment. Conduct Model Testing and Grading: Run STEM prompts through AI models, assess preliminary outputs against established standards for accuracy and instructional quality. Support Benchmarking and Quality Assurance: Collaborate in QA review processes to ensure that tasks and rubrics meet scientific rigor and maintain consistency before integration into official benchmarks. Requirements: BS or BA in More ❯

and create comprehensive rubrics for assessment. Conduct Model Testing and Grading: Run STEM prompts through AI models, assess preliminary outputs against established standards for accuracy and instructional quality. Support Benchmarking and Quality Assurance: Collaborate in QA review processes to ensure that tasks and rubrics meet scientific rigor and maintain consistency before integration into official benchmarks. Requirements: BS or BA in More ❯

Role: Machine Learning Researcher Location: Remote We are hiring experienced ML researchers and PhD professionals to contribute to cutting-edge AI research — advancing model benchmarking, evaluation, and real-world performance analysis. Key Responsibilities: Design and compile complex ML tasks inspired by real-world applications. Validate implementations, assess reproducibility, and identify performance gaps. Provide structured, high-quality feedback on model behavior … and results. Requirements: PhD or 5+ years of experience in Machine Learning, AI Research, or related fields. Strong grasp of ML experimentation, benchmarking, and evaluation methodologies. Excellent analytical, research, and communication skills. Ability to work independently in a remote, flexible environment. Perks: Fully remote, flexible schedule (20–40 hrs/week, extendable). Competitive hourly compensation — up to $120/ More ❯