35 executive jobs found

We are looking for a Cyber Security Communications & Change Management Lead on a contract basis (UK , Remote) to drive enterprise-wide cyber communications and change initiatives. This role will translate complex cyber risks and programs into clear, actionable messaging, enabling secure behaviors and supporting the successful adoption of cyber security tools, controls, and operating models. Key Skills Develop and execute enterprise-wide cyber security communication strategies Translate complex cyber risks and technical changes into clear business-friendly messaging Deliver ongoing security awareness campaigns to drive secure employee behaviors Lead change management and communication plans for cyber security programs and initiatives Create executive-level briefings, presentations, and workforce communications Partner with Cyber leadership, PMO, HR, Corporate Communications, and OCM teams Support rollout and adoption of new cyber tools,...

We are looking for a Cyber Security Communications & Change Management Lead on a contract basis (UK , Remote) to drive enterprise-wide cyber communications and change initiatives. This role will translate complex cyber risks and programs into clear, actionable messaging, enabling secure behaviors and supporting the successful adoption of cyber security tools, controls, and operating models. Key Skills Develop and execute enterprise-wide cyber security communication strategies Translate complex cyber risks and technical changes into clear business-friendly messaging Deliver ongoing security awareness campaigns to drive secure employee behaviors Lead change management and communication plans for cyber security programs and initiatives Create executive-level briefings, presentations, and workforce communications Partner with Cyber leadership, PMO, HR, Corporate Communications, and OCM teams Support rollout and adoption of new cyber tools,...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term engagement helps shape the future of developer-assisting AI systems. Key Responsibilities Review long-form transcripts between users and AI coding assistants Analyze the AI’s logic, execution, and stated actions in detail Score each transcript using a 10-point rubric across multiple criteria Optionally write brief justifications citing examples from the dialogue Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: Senior or Staff Engineers with deep code review experience and execution insight QA Engineers...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.   Role Overview: As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term engagement helps shape the future of developer-assisting AI systems. Key Responsibilities Review long-form transcripts between users and AI coding assistants Analyze the AI’s logic, execution, and stated actions in detail Score each transcript using a 10-point rubric across multiple criteria Optionally write brief justifications citing examples from the dialogue Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: Senior or Staff Engineers with deep code review experience and execution insight QA Engineers...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term engagement helps shape the future of developer-assisting AI systems. Key Responsibilities Review long-form transcripts between users and AI coding assistants Analyze the AI’s logic, execution, and stated actions in detail Score each transcript using a 10-point rubric across multiple criteria Optionally write brief justifications citing examples from the dialogue Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: Senior or Staff Engineers with deep code review experience and execution insight QA Engineers...

Partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term engagement helps shape the future of developer-assisting AI systems. Key Responsibilities Review long-form transcripts between users and AI coding assistants Analyze the AI’s logic, execution, and stated actions in detail Score each transcript using a 10-point rubric across multiple criteria Optionally write brief justifications citing examples from the dialogue Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: Senior or Staff Engineers with deep code review experience and execution insight QA Engineers...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term engagement helps shape the future of developer-assisting AI systems. Key Responsibilities Review long-form transcripts between users and AI coding assistants Analyze the AI’s logic, execution, and stated actions in detail Score each transcript using a 10-point rubric across multiple criteria Optionally write brief justifications citing examples from the dialogue Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: Senior or Staff Engineers with deep code review experience and execution insight QA Engineers...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What You’ll Do Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checking using trusted public sources and authoritative references Conduct accuracy testing by executing code and validating outputs using appropriate tools Annotate model responses by identifying...

Location: Fully Remote (accepting applications globally) Team: Tech Team Employment Type: Contract * *Company Description * * Tangible is a fast-growing, tech-driven platform providing liquidity solutions to LPs and GPs in the private-markets secondaries space. By combining deep sector expertise with modern infrastructure, we unlock liquidity across private equity, private credit, and real assets, transforming the industry and enabling investors to move faster and smarter. We’re looking for a smart, curious AI-driven Test Automation Engineer who loves breaking systems, automating the boring stuff, and using AI as a daily co-pilot. This role is heavily Cursor-driven, focused on building and evolving automated tests using Cypress, while understanding both manual QA procedures and automation principles. You don’t need 10 years of QA experience: we care more about how you think, how fast you learn, and how well you use AI to amplify your impact....