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About bosta:<br>Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt and KSA. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions.<br><br>We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.<br><br>About The Role : <br>Responsible for managing daily hub operations, coordinating shipments, tracking KPIs, and ensuring smooth workflow and service quality in line with Bosta’s standards.<br><br>Job Code : <br>2026BOX-165<br><br>Job Responsibilities:<br><br>Receive inbound dispatches from the central sorting facility and categorize orders by geographic zone or delivery route Develop and communicate efficient daily distribution plans to allocate orders to assigned Drivers Serve as the primary point of contact for Drivers, providing real-time support to resolve operational issues and ensure route completion Manage the end-of-day process, including the receipt and reconciliation of all orders and documentation from Drivers upon route completion Monitor and audit Driver’s wallets, ensuring timely settlements and escalating any discrepancies or shortages to the fleet team Train, mentor, and onboard temporary staff and junior coordinators on standard operating procedures and best practices Proactively analyze workflows to identify, recommend, and implement opportunities for process optimization and efficiency gains Manage inventory control by coordinating the return transfer of canceled orders to the sorting facility after exceeding the designated 24-hour holding period at the hub Ensure precise operational handovers by preparing and sending formal communication to the sorting facility team, detailing transferred shipment counts, seal numbers, tracking data, and status<br><br><br><br><br>Job Qualification:<br><br>Minimum of 2 years of experience in logistics or shipping coordination, with a focus on bulky or oversized shipments Proven ability to lead and motivate a team, fostering collaboration and a positive work environment Excellent verbal and written communication skills to effectively interact with team members, and Drivers The ability to resolve issues promptly and effectively Familiarity with shipping management software and tracking systems Ability to adapt to changing circumstances and priorities in a fast-paced work environment<br><br><br><br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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: C#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: 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 Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>About the Role:We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.<br>Responsibilities Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance. Conduct fact-checking to validate information and identify inconsistencies or inaccuracies. Provide detailed, well-structured justifications to support evaluation decisions. Follow established evaluation guidelines and quality standards consistently. Use browser-based tools and extensions to support analysis and review tasks. Execute simple command-line instructions when required to support evaluation workflows. Document findings clearly and communicate insights to stakeholders when needed.<br>Requirements Solid comfort using a computer in a professional setting. Experience working with browser extensions and online tools. Ability to run basic command-line commands (no advanced programming required). Strong analytical and critical thinking skills. High attention to detail and ability to justify decisions clearly and objectively. Comfortable working with evaluation frameworks, comparisons, and structured analysis. Good written communication skills in English.<br>Nice to Have Previous experience with evaluation, annotation, QA, or audit-type work. Familiarity with data quality, content evaluation, or model/output assessments. Background in business analysis, operations, or process improvement.<br>Perks of Freelancing With Turing:Competitive compensation based on experience and expertise. Flexible working hours and a fully remote environment. Opportunity to contribute to impactful research initiatives. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitment Required: 30 hours per week minimum. Engagement Type: Contractor/Freelancer (no medical or paid leave). Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.<br>Application Process:Shortlisted candidates will be invited to complete an analytical challenge. Once the assessment is cleared, you’re ready to start contributing!<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 Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>About the Role:We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.<br>Responsibilities Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance. Conduct fact-checking to validate information and identify inconsistencies or inaccuracies. Provide detailed, well-structured justifications to support evaluation decisions. Follow established evaluation guidelines and quality standards consistently. Use browser-based tools and extensions to support analysis and review tasks. Execute simple command-line instructions when required to support evaluation workflows. Document findings clearly and communicate insights to stakeholders when needed.<br>Requirements Solid comfort using a computer in a professional setting. Experience working with browser extensions and online tools. Ability to run basic command-line commands (no advanced programming required). Strong analytical and critical thinking skills. High attention to detail and ability to justify decisions clearly and objectively. Comfortable working with evaluation frameworks, comparisons, and structured analysis. Good written communication skills in English.<br>Nice to Have Previous experience with evaluation, annotation, QA, or audit-type work. Familiarity with data quality, content evaluation, or model/output assessments. Background in business analysis, operations, or process improvement.<br>Perks of Freelancing With Turing:Competitive compensation based on experience and expertise. Flexible working hours and a fully remote environment. Opportunity to contribute to impactful research initiatives. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitment Required: 30 hours per week minimum. Engagement Type: Contractor/Freelancer (no medical or paid leave). Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.<br>Application Process:Shortlisted candidates will be invited to complete an analytical challenge. Once the assessment is cleared, you’re ready to start contributing!<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 Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>About the Role:We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.<br>Responsibilities Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance. Conduct fact-checking to validate information and identify inconsistencies or inaccuracies. Provide detailed, well-structured justifications to support evaluation decisions. Follow established evaluation guidelines and quality standards consistently. Use browser-based tools and extensions to support analysis and review tasks. Execute simple command-line instructions when required to support evaluation workflows. Document findings clearly and communicate insights to stakeholders when needed.<br>Requirements Solid comfort using a computer in a professional setting. Experience working with browser extensions and online tools. Ability to run basic command-line commands (no advanced programming required). Strong analytical and critical thinking skills. High attention to detail and ability to justify decisions clearly and objectively. Comfortable working with evaluation frameworks, comparisons, and structured analysis. Good written communication skills in English.<br>Nice to Have Previous experience with evaluation, annotation, QA, or audit-type work. Familiarity with data quality, content evaluation, or model/output assessments. Background in business analysis, operations, or process improvement.<br>Perks of Freelancing With Turing:Competitive compensation based on experience and expertise. Flexible working hours and a fully remote environment. Opportunity to contribute to impactful research initiatives. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitment Required: 30 hours per week minimum. Engagement Type: Contractor/Freelancer (no medical or paid leave). Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.<br>Application Process:Shortlisted candidates will be invited to complete an analytical challenge. Once the assessment is cleared, you’re ready to start contributing!<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.

JD:<br><br> Building Bank EA tool with all Enterprise Architecture Artifacts Own and aggressively drive forward specific areas of technology architecture. Provide architectural solutions/designs to project execution teams for implementation Provide technology architectural assessments, strategies, and roadmaps for different technology domains Define platform architecture and key design decisions for the bank's Foundation Platform Ensure all non-functional requirements for the platform meet business needs and BCP requirements Ensure all relevant architecture governance, policy, and standards are met Accountable for managing engagement with Audit and all audit responses Maintain and manage all customers facing information and knowledge bases for Platform Architecture and key design decisions Gather requirements and provide continuous feedback loops between business users and Engineering teams Establish a highly expert framework of competency in area of expertise within IT Asset infrastructure and services Develop and/or support the tools and methods, and requirements to accurately assess risk, value, and architectural direction of opportunities and engagements within area of expertise or as directed by the management Assists in the development of major features and implementations, including helping to design the architecture for those features Collaborate frequently with engineers, developers, and administrators and provide insightful feedback on the process, architecture, implementation, and quality of the product Troubleshoot issues in a timely manner to ensure the stability of applications Design solution recommendations and enforce consistency across applications Provides technical knowledge translated from the business and guidance on best practices during Architecture Committee Steers and validates the solutions Infrastructure design and deployment processes with EA Governance committee (includes software choices, recommendation Buy/Make solution, etc.)<br><br>Qualifications:<br><br> Bachelor's degree, in Computer Science, Engineering, or Mathematics Minimum of 5 years demonstrate a high degree of proficiency in designing and developing complex, high-quality solutions Leveraging best practice through published reference architectures Demonstrable Cloud service provider experience - infrastructure build and configurations of a variety of services including Compute, Containers, Container OS and Container orchestration (E.g. Docker, COS, GKE) Storage, IAM, SDN (VPC and XPN) Experience + 7 years in n Technical Field and IT Field Certifications: Relevant certifications like TOGAF, or similar are often preferred<br><br>Requirements<br><br>Relevant Job Experience<br><br>Proven experience as an Infrastructure Architect or similar role.<br><br>Experience designing, implementing, and managing large-scale IT infrastructure.<br><br>Familiarity with cloud platforms (AWS, Azure, Google Cloud) and on-premises infrastructure.<br><br>Technical Skills<br><br>Strong knowledge of network architecture, servers, storage, and virtualization.<br><br>Expertise in infrastructure automation and orchestration tools (Terraform, Ansible, Puppet).<br><br>Understanding of security protocols and infrastructure security best practices.<br><br>Hands-on experience with virtualization, containerization (Docker, Kubernetes).

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: 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: C#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 Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>About the Role:We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.<br>Responsibilities Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance. Conduct fact-checking to validate information and identify inconsistencies or inaccuracies. Provide detailed, well-structured justifications to support evaluation decisions. Follow established evaluation guidelines and quality standards consistently. Use browser-based tools and extensions to support analysis and review tasks. Execute simple command-line instructions when required to support evaluation workflows. Document findings clearly and communicate insights to stakeholders when needed.<br>Requirements Solid comfort using a computer in a professional setting. Experience working with browser extensions and online tools. Ability to run basic command-line commands (no advanced programming required). Strong analytical and critical thinking skills. High attention to detail and ability to justify decisions clearly and objectively. Comfortable working with evaluation frameworks, comparisons, and structured analysis. Good written communication skills in English.<br>Nice to Have Previous experience with evaluation, annotation, QA, or audit-type work. Familiarity with data quality, content evaluation, or model/output assessments. Background in business analysis, operations, or process improvement.<br>Perks of Freelancing With Turing:Competitive compensation based on experience and expertise. Flexible working hours and a fully remote environment. Opportunity to contribute to impactful research initiatives. Potential for contract extension based on performance and project needs.<br>Offer Details:Commitment Required: 30 hours per week minimum. Engagement Type: Contractor/Freelancer (no medical or paid leave). Time Overlap: Some overlap with UTC-8:00 (2–5 hrs/day) America/Los_Angeles.<br>Application Process:Shortlisted candidates will be invited to complete an analytical challenge. Once the assessment is cleared, you’re ready to start contributing!<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>POSITION SUMMARY Our jobs aren't just about giving guests a smooth check-in and check-out. Instead, we want to build and experience that is memorable and unique. Our Guest Experience Experts take the initiative to deliver a wide range of services that guide guests through their entire stay. They are empowered to move about their space and do what needs to be done. Whether processing operational needs, addressing guest requests, completing reports, or sharing the highlights of the local area, the Guest Experience Expert makes transactions feel part of the experience. No matter what position you are in, there are a few things that are critical to success creating a safe work place, following company policies and procedures, maintaining confidentiality, protecting company assets, upholding quality standards, and ensuring your uniform, personal appearance, and communications are professional. Guest Experience Experts will be on their feet and moving around (stand, sit, or walk for an extended time) and taking a hands-on approach to work (move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance). Doing all these things well (and other reasonable job duties as requested) is critical for Guest Experience Experts to get it right for our guests and our business each and every time.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: High school diploma or G.E.D. equivalent. Related Work Experience: No related work experience. Supervisory Experience: No supervisory experience. License or Certification: None</p>

<p><h4>Position summary</h4> <p>Provide massage services to guests using props and/or products. Provide body treatments to guests using body scrubs, wraps, and/or hydrotherapy. Assess guest needs and inquire about contraindications (e.g., allergies, high blood pressure, and pregnancy) before beginning service. Keep up to date with current techniques and modalities related to their field of work. Escort guests to and from treatment rooms. Arrange workstation, treatment room, and/or drapes. Frequently check with guest to promote comfort, safety, and security throughout service. Promote and sell spa/salon services including retail offerings related to the spa. Clean, maintain, and sterilize tools. Maintain cleanliness of workstation and/or treatment room throughout shift, dispose of trash and dirty linens, and secure supplies and equipment at the end of each shift. Monitor and stick to time schedule throughout the day. Handle inappropriate guest behavior by following Marriott International standard operating procedures for inappropriate conduct for guests and therapists, leading up to and including stopping a treatment or service and informing supervisor/manager. Maintain current skills and licensure in service area as per regional requirements. Report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; make sure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Welcome and acknowledge all guests according to company standards; anticipate and address guests’ service needs; thank</p><p></p>

<p><h4>Position summary</h4> <p>Update information board on a regular basis to inform employees of important events. Provide assistance and guidance to employees who are struggling with job duties (e.g., low package sales numbers). Assign lead calls or emails to sales executives based on line rotation. Create spreadsheets to organize information related to sales and marketing activities (e.g., mailing lists, tours). Enter, retrieve, reconcile, and verify information in software involved in the sales process. Contact appropriate individual or department as necessary to resolve guest calls, requests, or problems. Promote awareness of brand image internally and externally. Use sales techniques that maximize revenue while maintaining existing guest loyalty to Marriott, including up-selling. Encourage guests or callers to purchase or schedule preview package sales/tours and answer questions about property facilities/services.</p> <p>Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees; serve as a role model and first point of contact of the Guarantee of Fair Treatment/Open Door Policy process. Report accidents, injuries, and unsafe work conditions to manager. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; protect company assets. Anticipate and address guests’ service needs; assist individuals with disabilities; thank guests with genuine appreciation. Speak with others using clear and professional language; prepare and review</p><p></p>

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: C#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: 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.