وظائف مهندس مواد

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Oversee all engineering operations including mechanical, electrical, plumbing, HVAC, and energy systems. Develop and manage preventive maintenance schedules to maximize equipment lifespan and minimize downtime. Supervising the upkeep of the property, ensuring guest comfort and safety are always prioritized. Plan and oversee capital projects, renovations, and technical upgrades. Ensure compliance with health, safety, fire, and environmental regulations. Monitor and control departmental budgets, energy consumption, and operating costs. Lead and mentor the engineering team, fostering technical growth and accountability. Collaborate with other departments to support seamless guest experiences. Maintain accurate records of maintenance activities, inspections, and compliance checks. Partner with suppliers and contractors to ensure quality service and cost-effective solutions. Implement innovative energy-saving and sustainable engineering solutions. Introduce digital tools and systems to improve maintenance tracking and efficiency. Explore and apply new technologies that enhance operational performance. Mentor and develop your team to deliver consistent technical excellence and reliability.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in engineering (Mechanical, Electrical, or Civil preferred). Minimum 7+ years of engineering/maintenance experience, with at least 3 in a leadership role within hospitality or related industries. Strong knowledge of MEP systems, HVAC, renewable energy, and preventative maintenance programs. Familiarity with local regulatory requirements for building and safety compliance. Budgeting, project management, and cost control experience. Hands-on leader with problem-solving skills, attention to detail, and commitment to sustainability. Fluent in English and Arabic.</p><p></p></section>

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Assist in planning and organizing project activities, including developing Work Breakdown Structures (WBS) and project timelines. Coordinate communication between stakeholders and project teams through emails, meetings, and calls. Track project progress and monitor project milestones. Support Project Managers in daily operations to ensure project objectives are achieved. Handle and respond to urgent and unplanned project tasks, ensuring timely resolution. Prepare, maintain, and organize project documentation and reports. Support project scheduling, progress updates, and status reporting. Ensure effective coordination among multidisciplinary teams to maintain workflow efficiency.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Engineering (Civil, Architectural, Mechanical, Electrical, Industrial Engineering, or a related field). 1 3 years of experience in project coordination, project management, construction management, or a related field. Experience in planning, scheduling, and project documentation is preferred. Exposure to multidisciplinary projects is an advantage. Proficiency in Microsoft Office Suite, particularly Excel, Word, and PowerPoint. Good knowledge of project scheduling tools such as Microsoft Project or Primavera P6. Understanding of project management principles, methodologies, and project life cycles. Ability to develop Work Breakdown Structures (WBS), project schedules, and progress reports. Familiarity with project documentation and reporting processes. Strong communication, coordination, and stakeholder management skills. Excellent organizational, problem-solving, and time management abilities. Ability to work effectively within a team and adapt to changing project requirements.</p><p></p></section>

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br><br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave)<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week]<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week]<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br><br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave)<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week]<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br><br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: GoProficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave)<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

<p><h4>Group overview</h4> <p>Headquartered in Riyadh, Saudi Arabia, we operate construction and manufacturing businesses, design and development centers, and a host of facilities in the Middle East and other countries.</p> <p><strong>alfanar Building Systems</strong></p> <p>alfanar Construction is classified as a Grade I contractor by the Contractors Classification Committee of the Government of Saudi Arabia.</p> <p>alfanar Building Systems manufactures and markets a variety of building construction products and systems.</p> <p>The core manufacturing activities of the industries operating under alfanar Building Systems are:</p> <ul> <li>Real estate development</li> <li>Façade cladding, glazing systems, and architectural aluminum products</li> <li>Precast concrete products and architectural elements</li> </ul> <h4>Job purpose</h4> <p>Creating detailed architectural designs and schematics for various projects. Analyzing project requirements, developing and refining architectural systems, ensuring compliance with industry standards, and collaborating with other engineers and stakeholders to deliver efficient and aesthetically pleasing designs. Provide innovative solutions that meet design specifications and project objectives while optimizing performance and cost.</p> <h4>Key accountability areas</h4> <p><strong>Design and development:</strong><br> Create detailed architectural designs, schematics, and layouts for projects, ensuring they meet project specifications and industry standards. Conduct spatial analysis, design simulations, and performance evaluations to ensure designs are functional, aesthetically pleasing, and compliant with relevant codes and regulations.</p> <p><strong>Documentation and compliance:</strong><br> Prepare and maintain comprehensive documentation, including design drawings, specifications, and reports. Ensure all documentation is accurate and up-to-date. Ensure that all designs comply with national and local building codes, safety standards, and quality assurance procedures.</p> <p><strong>Collaboration and communication:</strong><br> Work closely with other engineers, architects, and stakeholders to integrate architectural systems with other building systems and project requirements. Communicate with clients to understand their needs, provide technical advice, and present design concepts and solutions.</p> <p><strong>Project management:</strong><br> Review and approve design modifications and changes, ensuring they align with project goals and specifications.</p> <p><strong>Problem-solving and innovation:</strong><br> Identify and resolve design issues, perform design testing, and provide solutions to technical problems that occur during the implementation phase. Stay updated with industry trends, emerging technologies, and best practices to continuously improve design processes and solutions.</p> <h4>Role accountability</h4> <p><strong>HR proficiency:</strong><br> Ability to obtain updated soft and technical skills related to the job. To have a vision and a plan for the career path and how to achieve it.</p> <p><strong>Delivery:</strong><br> Perform the planned activities to meet the operational and development targets as per delivery schedules. Utilize resources effectively to achieve objectives within efficient cost and time. Provide a periodic report formatted by detailing the deviation and execution of planned tasks.</p> <p><strong>Problem-solving:</strong><br> Solve any related problems that arise and escalate any complex operational issues.</p> <p><strong>Quality:</strong><br> Ensure quality requirements to develop effective quality control and processes including specifications for products, processes, or related activities.</p> <p><strong>Business process improvements:</strong><br> Coordinate well-defined written systems, policies, procedures, and seek automation opportunities as much as possible.</p> <p><strong>Compliance:</strong><br> Comply with related policies, procedures, and work instructions.</p> <p><strong>Health, safety, and environment:</strong><br> Ensure compliance with relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products and services.</p> <h4>Academic qualification</h4> <p>Bachelor degree in Architectural Engineering</p> <h4>Work experience</h4> <p>4 to 6 years</p> <h4>Technical / functional competencies</h4> <ul> <li>Design tools</li> <li>Reporting</li> <li>Compliance</li> <li>Communication</li> </ul></p><p></p>

<p><h4>Group overview</h4> <p>Headquartered in Riyadh, Saudi Arabia, we operate construction and manufacturing businesses, design and development centers, and a host of facilities in the Middle East and other countries.</p> <p><strong>alfanar Building Systems</strong><br> alfanar Construction is classified as a Grade I contractor by the Contractors Classification Committee of the Government of Saudi Arabia.<br> alfanar Building Systems manufactures and markets a variety of building construction products and systems.</p> <p>The core manufacturing activities of the industries operating under alfanar Building Systems are:</p> <ul> <li>Real estate development</li> <li>Façade cladding, glazing systems, and architectural aluminum products</li> <li>Precast concrete products and architectural elements</li> </ul> <h4>Job purpose</h4> <p>Creating detailed architectural designs and schematics for various projects. Analyzing project requirements, developing and refining architectural systems, ensuring compliance with industry standards, and collaborating with other engineers and stakeholders to deliver efficient and aesthetically pleasing designs. Provide innovative solutions that meet design specifications and project objectives while optimizing performance and cost.</p> <h4>Key accountability areas</h4> <p><strong>Design and development:</strong><br> Create detailed architectural designs, schematics, and layouts for projects, ensuring they meet project specifications and industry standards. Conduct spatial analysis, design simulations, and performance evaluations to ensure designs are functional, aesthetically pleasing, and compliant with relevant codes and regulations.</p> <p><strong>Documentation and compliance:</strong><br> Prepare and maintain comprehensive documentation, including design drawings, specifications, and reports. Ensure all documentation is accurate and up-to-date. Ensure that all designs comply with national and local building codes, safety standards, and quality assurance procedures.</p> <p><strong>Collaboration and communication:</strong><br> Work closely with other engineers, architects, and stakeholders to integrate architectural systems with other building systems and project requirements. Communicate with clients to understand their needs, provide technical advice, and present design concepts and solutions.</p> <p><strong>Project management:</strong><br> Review and approve design modifications and changes, ensuring they align with project goals and specifications.</p> <p><strong>Problem-solving and innovation:</strong><br> Identify and resolve design issues, perform design testing, and provide solutions to technical problems that occur during the implementation phase. Stay updated with industry trends, emerging technologies, and best practices to continuously improve design processes and solutions.</p> <h4>Role accountability</h4> <p><strong>HR proficiency:</strong><br> Ability to obtain updated soft and technical skills related to the job.<br> To have a vision and a plan for the career path and how to achieve it.</p> <p><strong>Delivery:</strong><br> Perform the planned activities to meet the operational and development targets as per delivery schedules.<br> Utilize resources effectively to achieve objectives within efficient cost and time.<br> Provide a periodic report detailing the deviation and execution of planned tasks.</p> <p><strong>Problem-solving:</strong><br> Solve any related problems that arise and escalate any complex operational issues.</p> <p><strong>Quality:</strong><br> Ensure quality requirements to develop effective quality control and processes including specifications for products or processes or related activities.</p> <p><strong>Business process improvements:</strong><br> Coordinate well-defined written systems, policies, procedures, and seek automation opportunities as much as possible.</p> <p><strong>Compliance:</strong><br> Comply with related policies, procedures, and work instructions.</p> <p><strong>Health, safety, and environment:</strong><br> Ensure compliance with relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products/services.</p> <h4>Academic qualification</h4> <p>Bachelor degree in architectural engineering</p> <h4>Work experience</h4> <p>4 to 6 years</p> <h4>Technical / functional competencies</h4> <p>Design tools<br> Reporting<br> Compliance<br> Communication</p></p><p></p>

<p><h4>Group overview</h4> <p>Headquartered in Riyadh, Saudi Arabia, we operate construction and manufacturing businesses, design and development centers, and a host of facilities in the Middle East and other countries.</p> <p><strong>alfanar building systems</strong><br> alfanar Construction is classified as a Grade I contractor by the Contractors Classification Committee of the Government of Saudi Arabia.<br> alfanar Building Systems manufactures and markets a variety of building construction products and systems.</p> <p>The core manufacturing activities of the industries operating under alfanar Building Systems are:</p> <ul> <li>Ceramic wall and floor tiles</li> <li>Façade cladding, glazing systems and architectural aluminum products</li> <li>Precast concrete products and architectural elements</li> <li>Office and home furniture and interior décor products</li> </ul> <h4>Job purpose</h4> <p>Creating detailed mechanical system designs and schematics for various projects. Analyzing project requirements, developing and testing mechanical systems, ensuring compliance with industry standards, and collaborating with other engineers and stakeholders to deliver efficient and reliable designs. Provide innovative solutions that meet technical specifications and project objectives while optimizing performance and cost.</p> <h4>Key accountability areas</h4> <p><strong>Design and development:</strong><br> Create detailed mechanical system designs, schematics, and layouts for projects, ensuring they meet project specifications and industry standards. Conduct load calculations, system simulations, and performance analyses to ensure designs are efficient, reliable, and compliant with relevant codes and regulations.</p> <p><strong>Documentation and compliance:</strong><br> Prepare and maintain comprehensive documentation, including design drawings, specifications, and reports. Ensure all documentation is accurate and up-to-date. Ensure that all designs comply with national and local mechanical codes, safety standards, and quality assurance procedures.</p> <p><strong>Collaboration and communication:</strong><br> Work closely with other engineers, architects, and stakeholders to integrate mechanical systems with other building systems and project requirements. Communicate with clients to understand their needs, provide technical advice, and present design concepts and solutions.</p> <p><strong>Project management:</strong><br> Review and approve design modifications and changes, ensuring they align with project goals and specifications.</p> <p><strong>Problem-solving and innovation:</strong><br> Identify and resolve design issues, perform system testing, and provide solutions to technical problems that occur during the implementation phase. Stay updated with industry trends, emerging technologies, and best practices to continuously improve design processes and solutions.</p> <h4>Role accountability</h4> <p><strong>HR proficiency:</strong><br> Ability to obtain updated soft and technical skills related to the job.<br> To have a vision and a plan for the career path and how to achieve it.</p> <p><strong>Delivery:</strong><br> Perform the planned activities to meet the operational and development targets as per delivery schedules.<br> Utilize resources effectively to achieve objectives within efficient cost and time.<br> Provide a periodic report formatted by detailing the deviation and execution of planned tasks.</p> <p><strong>Problem-solving:</strong><br> Solve any related problems that arise and escalate any complex operational issues.</p> <p><strong>Quality:</strong><br> Ensure quality requirements to develop effective quality control and processes including specifications for products or processes or related activities.</p> <p><strong>Business process improvements:</strong><br> Coordinate well-defined written systems, policies, procedures, and seek automation opportunities as much as possible.</p> <p><strong>Compliance:</strong><br> Comply with related policy and procedures and work instructions.</p> <p><strong>Health, safety, and environment:</strong><br> Ensure compliance of relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products and services.</p> <h4>Academic qualification</h4> <p>Bachelor degree in Mechanical Engineering</p> <h4>Work experience</h4> <p>4 to 6 years</p> <h4>Technical / functional competencies</h4> <ul> <li>Design tools</li> <li>Reporting</li> <li>Troubleshooting</li> <li>Compliance</li> <li>Communication</li> </ul></p><p></p>

<p><h4>Group overview</h4> <p>Headquartered in Riyadh, Saudi Arabia, we operate construction and manufacturing businesses, design and development centers, and a host of facilities in the Middle East and other countries.</p> <p><strong>alfanar Building Systems</strong></p> <p>alfanar Construction is classified as a Grade I contractor by the Contractors Classification Committee of the Government of Saudi Arabia. alfanar Building Systems manufactures and markets a variety of building construction products and systems.</p> <p>The core manufacturing activities of the industries operating under alfanar Building Systems are:</p> <ul> <li>Ceramic wall and floor tiles</li> <li>Façade cladding, glazing systems and architectural aluminum products</li> <li>Precast concrete products and architectural elements</li> <li>Office and home furniture and interior décor products</li> </ul> <h4>Job purpose</h4> <p>Creating detailed mechanical system designs and schematics for various projects. Analyzing project requirements, developing and testing mechanical systems, ensuring compliance with industry standards, and collaborating with other engineers and stakeholders to deliver efficient and reliable designs. Provide innovative solutions that meet technical specifications and project objectives while optimizing performance and cost.</p> <h4>Key accountability areas</h4> <p><strong>Design and development:</strong><br> Create detailed mechanical system designs, schematics, and layouts for projects, ensuring they meet project specifications and industry standards. Conduct load calculations, system simulations, and performance analyses to ensure designs are efficient, reliable, and compliant with relevant codes and regulations.</p> <p><strong>Documentation and compliance:</strong><br> Prepare and maintain comprehensive documentation, including design drawings, specifications, and reports. Ensure all documentation is accurate and up-to-date. Ensure that all designs comply with national and local mechanical codes, safety standards, and quality assurance procedures.</p> <p><strong>Collaboration and communication:</strong><br> Work closely with other engineers, architects, and stakeholders to integrate mechanical systems with other building systems and project requirements. Communicate with clients to understand their needs, provide technical advice, and present design concepts and solutions.</p> <p><strong>Project management:</strong><br> Review and approve design modifications and changes, ensuring they align with project goals and specifications.</p> <p><strong>Problem-solving and innovation:</strong><br> Identify and resolve design issues, perform system testing, and provide solutions to technical problems that occur during the implementation phase. Stay updated with industry trends, emerging technologies, and best practices to continuously improve design processes and solutions.</p> <h4>Role accountability</h4> <p><strong>HR proficiency:</strong><br> Ability to obtain updated soft and technical skills related to the job. To have a vision and a plan for the career path and how to achieve it.</p> <p><strong>Delivery:</strong><br> Perform the planned activities to meet the operational and development targets as per delivery schedules. Utilize resources effectively to achieve objectives within efficient cost and time. Provide a periodic report formatted by detailing the deviation and execution of planned tasks.</p> <p><strong>Problem-solving:</strong><br> Solve any related problems that arise and escalate any complex operational issues.</p> <p><strong>Quality:</strong><br> Ensure quality requirements to develop effective quality control and processes including specifications for products or processes or related activities.</p> <p><strong>Business process improvements:</strong><br> Coordinate well-defined written systems, policies, procedures, and seek automation opportunities as much as possible.</p> <p><strong>Compliance:</strong><br> Comply with related policy and procedures and work instructions.</p> <p><strong>Health, safety, and environment:</strong><br> Ensure compliance of relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products and services.</p> <h4>Academic qualification</h4> <p>Bachelor degree in Mechanical Engineering</p> <h4>Work experience</h4> <p>4 to 6 years</p> <h4>Technical / functional competencies</h4> <ul> <li>Design tools</li> <li>Reporting</li> <li>Troubleshooting</li> <li>Compliance</li> <li>Communication</li> </ul></p><p></p>