Evaluator Salary at Great Place BETA

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

Research Engineer Intern, Evaluations & Benchmarks Location: San Francisco (Hybrid) About TensorStax: TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You’ll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipel

Research Engineer Intern, Evaluations & Benchmarks Location: San Francisco (Hybrid) About TensorStax: TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You’ll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipel

Research Engineer Intern, Evaluations & Benchmarks Location: San Francisco (Hybrid) About TensorStax: TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You’ll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipel

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

Research Engineer Intern, Evaluations & Benchmarks Location: San Francisco (Hybrid) About TensorStax: TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You’ll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipel

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni