22 ai engineer jobs found in Remote

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...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Description As an hourly-paid, fully remote Go Engineer for AI Data Training, you will review AI-generated Go code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, readability, and adherence to backend-style best practices; identify errors in concurrency, error handling, or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Go; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, Careers, a fast-growing AI Data Services company and subsidiary of that provides AI training data...

About Dune Dune is on a mission to make crypto data accessible. We’re a collaborative multi-chain analytics platform used by thousands of developers, analysts, & investors to understand the on-chain world and the frontiers of finance. We’re a team of ~60 employees, working together across Europe and eastern US timezones 🌍️. We believe in our mission, and in building a powerful, open product that allows individuals and communities to do deep research into important ecosystems like Bitcoin, Ethereum, Solana, and many more.   We’re backed by some of the world's best investors. In February 2022, we announced our Series B funding round led by Coatue and Union Square Ventures, an important milestone that allowed us to double down on our mission. We’re using the funds to educate, reward and empower a new generation of onchain analysts aka Wizards 🧙 ♀️   If you want to have one of the highest impact jobs on the planet, come join our...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Description As an hourly-paid, fully remote Go Engineer for AI Data Training, you will review AI-generated Go code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, readability, and adherence to backend-style best practices; identify errors in concurrency, error handling, or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Go; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, Careers, a fast-growing AI Data Services company and subsidiary of that provides AI training data...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Web Developer to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a...

Contract Remote Role Description As an hourly paid, fully remote Rust Engineer for AI Data Training, you will review AI-generated Rust code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, safety, and adherence to the prompt; identify errors in ownership, borrowing, lifetimes, or algorithmic reasoning; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the world’s largest AI companies and foundation model labs. Your work will directly help improve the world’s premier AI models...

Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Description As an hourly-paid, fully remote Go Engineer for AI Data Training, you will review AI-generated Go code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, readability, and adherence to backend-style best practices; identify errors in concurrency, error handling, or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Go; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, Careers, a fast-growing AI Data Services company and subsidiary of that provides AI training data...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Mobile App Developer to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work...

Contract Remote Role Description As an hourly paid, fully remote Rust Engineer for AI Data Training, you will review AI-generated Rust code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, safety, and adherence to the prompt; identify errors in ownership, borrowing, lifetimes, or algorithmic reasoning; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the world’s largest AI companies and foundation model labs. Your work will directly help improve the world’s premier AI models...

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...

hiring experienced Software Engineers to support high-impact research collaborations with leading AI labs. Freelancers will contribute to building evaluation datasets that assess AI reasoning, explanation quality, and technical judgment in coding-related interactions. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. About the Project This evaluation dataset is code question and answer data. This data is designed to assess natural-language reasoning, explanation quality, and technical judgment in coding-related interactions, rather than executable correctness. Tasks are structured as chat-pasteable prompts that reflect realistic developer questions and include all necessary context inline (e.g., code snippets, error messages, logs, or requirements) Key Responsibilities Craft realistic developer prompts across multiple categories (code review, debugging, error diagnosis,...

hiring experienced Software Engineers to support high-impact research collaborations with leading AI labs. Freelancers will contribute to building evaluation datasets that assess AI reasoning, explanation quality, and technical judgment in coding-related interactions. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. About the Project This evaluation dataset is code question and answer data. This data is designed to assess natural-language reasoning, explanation quality, and technical judgment in coding-related interactions, rather than executable correctness. Tasks are structured as chat-pasteable prompts that reflect realistic developer questions and include all necessary context inline (e.g., code snippets, error messages, logs, or requirements) Key Responsibilities Craft realistic developer prompts across multiple categories (code review, debugging, error diagnosis,...

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...

Engagement Type: Independent Contractor Work Mode: Remote Global Schedule: Part-Time (15–25 hrs/week, flexible up to 40 hrs) Duration: 1–3 Months Immediate Start Role Overview We are hiring experienced Software Engineers (Python-focused) to support high-impact research collaborations with leading AI labs. In this project-based engagement, you will contribute to building training datasets that improve AI model reasoning and problem-solving across real-world coding tasks. This is a unique opportunity to apply your software engineering expertise toward shaping the next generation of intelligent systems. About the Project You will work on SWE-bench–style tasks derived from real open-source repositories. Since frontier AI models do not expose their internal reasoning traces, your role will involve: Reconstructing model reasoning Annotating solution trajectories Inferring thought processes behind...

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...

Location: EU based, GMT timezone Department : Engineering/Data Employment Type: Contract (B2B) Contract Length: 6 months (with potential for extension) About YLD: Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto. About the role: As a Data Scientist, you will take responsibility for data, insights, and models that help our clients grow quickly. You'll have Machine Learning Engineering experience and use this to build data capabilities that integrate well with software products. You'll...

hiring experienced Software Engineers to support high-impact research collaborations with leading AI labs. Freelancers will contribute to building evaluation datasets that assess AI reasoning, explanation quality, and technical judgment in coding-related interactions. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. About the Project This evaluation dataset is code question and answer data. This data is designed to assess natural-language reasoning, explanation quality, and technical judgment in coding-related interactions, rather than executable correctness. Tasks are structured as chat-pasteable prompts that reflect realistic developer questions and include all necessary context inline (e.g., code snippets, error messages, logs, or requirements) Key Responsibilities Craft realistic developer prompts across multiple categories (code review, debugging, error diagnosis,...

Location: Remote (must have access to a physical Mac) Fluent Language Skills Required: English Why This Role Exists Supporting a high-priority data collection initiative aimed at improving how AI systems understand complex software interfaces and real-world, multi-step workflows. Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments. What You’ll Do Depending on the task phase, you may be asked to complete one or both of the following: Record screen sessions demonstrating specific tasks, accompanied by clear verbal narration explaining each step Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements Follow provided staging...