24 java developer jobs found in Remote

Agile Coding is expanding its team to help support our European clients.   We are looking to employ an experienced Java Developer with the following attributes: Minimum 5 years Java coding experience with knowledge of patterns Proficient in the Spring framework Experienced in Unit and Integration testing. Database knowledge (preferably PostgreSQL) Must be used to working in a team environment and comfortable with Teams meetings IDE - Preferably IntelliJ IDEA   Responsibilities Experienced Java/Spring expert required to help with upgrading and enhancing an existing legacy code base using modern practises. Extensive use of unit and integration tests.   Location This is a fully remote role although one or two team meetings may occur per year. Due to the location of our European clients we work a 35 hour working week from 8:00 until 16:00.   Salary Negotiable salary depending on experience. Fixed...

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 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...

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...

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 Application Engineer 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 full-time role,...

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 Enterprise Software 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 full-time role,...

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 Back End 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 full-time role, while...

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...

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 UI/UX 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 full-time role, while others...

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 Programming Analyst 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 full-time role, while...

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 alongside a full-time role, while...

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...

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...

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 Quality Assurance 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...

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...