Remote
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وظائف شاغرة
About Omnicore Trading & Investment Omnicore is a trading house specializing in agricultural commodities (garlic, potatoes, citrus, onions, and bulk FMCG). Based in Egypt, we bypass the traditional broker model. We control the physical supply chain from the inland packing floors and cold-chain logistics directly to the shipping container. When our buyers order, we guarantee the quality and transit resilience they depend on.<br>The Role: Regional Trade Partner (Independent Commercial Agent) We are aggressively expanding our global footprint and are seeking heavily connected, independent commercial agents to drive B2B sales in key target markets (West Africa, Europe, GCC, and beyond). This is a 100% commission-based, remote partnership role.<br>You bring the verifiable buyer network; we handle the physical execution, quality control, and international logistics.<br>What You Will Do:Leverage your existing network to connect Omnicore with qualified wholesale buyers, procurement directors, and regional importers. Present our physical commodity offerings to direct buyers. Facilitate the initial introduction and secure formal documentation (strict LOI / ICPO policy). Act as the regional bridge between the buyer and our ground operations in Egypt.<br>Who You Are:An experienced trade professional, procurement consultant, or independent sales rep with an active, established book of business in the agricultural or food commodity sector. You understand the difference between direct physical trading and "daisy-chain" brokering. You possess a strong understanding of international trade, Incoterms, and B2B import/export dynamics. You are tired of bringing deals to suppliers who cannot physically execute.<br>Compensation & Partnership Structure:Uncapped Earning Potential: 100% commission-based, structured as a fixed fee per Metric Ton (MT) or a percentage of the net deal. Ironclad Protection: Your commission is strictly protected under international NCNDA (Non-Circumvention, Non-Disclosure Agreement) and IMFPA (Irrevocable Master Fee Protection Agreement). Transparent Execution: When your buyer signs, we deliver. You get paid immediately upon the clearing of the buyer's funds.<br>If you have real buyers and demand a supplier who can actually perform, we want to partner with you.-Omnicore Trading
About Omnicore Trading & Investment Omnicore is a trading house specializing in agricultural commodities (garlic, potatoes, citrus, onions, and bulk FMCG). Based in Egypt, we bypass the traditional broker model. We control the physical supply chain from the inland packing floors and cold-chain logistics directly to the shipping container. When our buyers order, we guarantee the quality and transit resilience they depend on.<br>The Role: Regional Trade Partner (Independent Commercial Agent) We are aggressively expanding our global footprint and are seeking heavily connected, independent commercial agents to drive B2B sales in key target markets (West Africa, Europe, GCC, and beyond). This is a 100% commission-based, remote partnership role.<br>You bring the verifiable buyer network; we handle the physical execution, quality control, and international logistics.<br>What You Will Do:Leverage your existing network to connect Omnicore with qualified wholesale buyers, procurement directors, and regional importers. Present our physical commodity offerings to direct buyers. Facilitate the initial introduction and secure formal documentation (strict LOI / ICPO policy). Act as the regional bridge between the buyer and our ground operations in Egypt.<br>Who You Are:An experienced trade professional, procurement consultant, or independent sales rep with an active, established book of business in the agricultural or food commodity sector. You understand the difference between direct physical trading and "daisy-chain" brokering. You possess a strong understanding of international trade, Incoterms, and B2B import/export dynamics. You are tired of bringing deals to suppliers who cannot physically execute.<br>Compensation & Partnership Structure:Uncapped Earning Potential: 100% commission-based, structured as a fixed fee per Metric Ton (MT) or a percentage of the net deal. Ironclad Protection: Your commission is strictly protected under international NCNDA (Non-Circumvention, Non-Disclosure Agreement) and IMFPA (Irrevocable Master Fee Protection Agreement). Transparent Execution: When your buyer signs, we deliver. You get paid immediately upon the clearing of the buyer's funds.<br>If you have real buyers and demand a supplier who can actually perform, we want to partner with you.-Omnicore Trading
<h2>About the Job</h2><p><strong>Position:</strong> Audio Annotation Trainer Arabic</p><p><strong>Type:</strong> Short-Term Contract</p><p><strong>Location:</strong> Remote</p><p><strong>Commitment:</strong> Flexible</p><p><strong>Engagement Length:</strong> 2 weeks - 2 months</p><p><strong>Start Date:</strong> Immediate</p><h2>Role Responsibilities</h2><ul><li>Record high-quality voiceovers for AI training and annotation projects.</li><li>Perform scripts with clear speech, emotion, and natural pacing.</li><li>Interpret scripts and adapt to creative direction.</li><li>Revise recordings based on feedback and quality standards.</li><li>Deliver audio files in the required format within project timelines.</li><li>Support AI training through accurate voice recordings and audio annotations.</li></ul><h2>Requirements</h2><ul><li>Previous voice acting or audio annotation experience.</li><li>Strong vocal control, clarity, and emotional range.</li><li>Native or fluent Arabic communication skills.</li><li>Experience with dubbing, ADR, or localization.</li><li>Demo reel showcasing a variety of voice styles.</li><li>Background in acting or performing arts.</li><li>Familiarity with audio editing tools.</li><li>Access to professional-quality recording equipment.</li><li>Ability to follow direction and consistently meet deadlines.</li></ul>
About Turing Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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 Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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: 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 Turing Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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 Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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 Turing Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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: 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.
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 Turing Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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 Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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 Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.<br>What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards. Create, manipulate, and structure JSON tasks for function-calling workflows. Work closely with AI researchers and teams to align datasets with agentic AI use cases. Monitor data accuracy, consistency, and integrity across projects. Contribute to documentation and best practices for dataset preparation and validation.<br>Requirements Strong proficiency in Python or Java Script or Java or any other programming languages for data handling and workflow automation. Solid understanding of SQL for querying and managing datasets. Expertise or Knowledge in handling JSON. Exceptional attention to detail with a focus on data quality and consistency. Interest in or exposure to agentic AI, LLMs, or NLP best practices. Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.<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) Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 1 month (adjustable based on engagement) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico<br>Evaluation Process (60 mins) :Below tests are setup in vetsmith for candidates to take it online at their convinient time Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins)<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.