AI Software Engineering Trainer (Remote, Uruguay)

About HuzzleHuzzle is dedicated to bridging the gap between exceptional talent and leading global companies across multiple regions, including the UK, US, Canada, Europe, and Australia. We cater to a diverse clientele, from innovative startups to established digital agencies and tech platforms within sectors such as SaaS, MarTech, FinTech, and EdTech. Our un…

Anyone AI is in search of talented Full-Stack Developers proficient in Python and JavaScript/TypeScript to collaborate on innovative projects with a prestigious AI laboratory.Qualifications:Fluent in English with exceptional written communication skills.3–7 years of hands-on experience in software engineering.Expertise in Python and JavaScript/TypeScript; familiarity with Java, C#, or Go is a plus.Experience in backend or full-stack development within production environments.Knowledge of testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing.Demonstrated ability to debug and work with extensive multi-file codebases.Experience with code reviews, refactoring, and production migrations.Engagement Type: Part-time, project-based expert evaluation work.Work Type: Remote.As a contributor, you will design and evaluate realistic software engineering tasks, which include bug resolution, feature implementation, refactoring/migration, and test generation. Responsibilities involve creating complex coding scenarios and reviewing peer submissions for quality and accuracy.This role is project-based and consultants are compensated per project; hourly rates are estimates based on anticipated completion time. Consultants have the flexibility to manage their own schedules, utilize their own tools, and may work with other vendors or employers concurrently (depending on their policies).Responsibilities:Contributors will:Design and implement multi-file coding tasks, covering bug fixes, feature development, refactoring, and testing.Craft clear natural-language specifications and reference implementations.Develop and expand unit and integration test suites.Review peer-generated tasks for accuracy, clarity, and realism.Identify edge cases, ambiguities, and potential failure modes.Ensure alignment between specifications, code, and expected outputs.

Please submit your CV in English and specify your English proficiency level. Mindrift, in partnership with toloka-ai, connects specialists to project-based AI work for major technology companies. This freelance Optical Engineer role centers on testing, evaluating, and improving AI systems. The position is project-based and not permanent. Key responsibilities Design original optical problems that reflect real-world physics research workflows Develop computationally intensive problems that cannot be solved manually in a short timeframe Create scenarios requiring advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on current research challenges or practical applications in optics and physics Document problem statements clearly and provide verified, correct solutions Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related field Minimum 2 years of experience in applied, research, or teaching roles Hands-on experience with numerical simulation techniques Ability to design problems that mirror real research workflows Creative approach to problem design across various physics domains Familiarity with physics modeling and approximation methods Strong written English skills at C1 level or above How the process works Apply Pass qualifications Engage in a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks typically require about 10 to 20 hours per week. This is an estimate and not a guaranteed workload. Hours are relevant only while the project is active. Compensation Contributors can earn up to $17 per hour, depending on experience and pace. Pay may vary by project based on scope, complexity, and required expertise. Other projects on the platform may offer different compensation levels depending on requirements. Location This is a remote position based in Uruguay.

Role overview Anyone AI seeks a Python Developer based in Uruguay for a fully remote position. This role centers on collaboration with a team tackling AI-driven projects and software engineering tasks. The work supports ongoing efforts within an established AI lab. What you will do Collaborate with the AI lab on diverse software projects Develop and refine Python-based solutions Participate in remote teamwork across multiple initiatives Location This position is open to candidates residing in Uruguay and is fully remote.

We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we connect experts with project-specific AI opportunities for top technology firms, focusing on the evaluation, testing, and enhancement of AI systems. Please note that participation is project-based, and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be required to: Devise original optical problems that closely mimic real-world physics research workflows;Ensure that these problems are computationally demanding and cannot be solved manually within reasonable timeframes (days/weeks);Create problems necessitating complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on actual research challenges or practical applications from the fields of optics and physics;Clearly document problem statements and provide verified correct solutions.Desired QualificationsThis role is ideal for optical engineers seeking part-time, non-permanent projects. We prefer candidates who possess: A degree in Physics (Theoretical, Experimental, or Computational) or a related field;A minimum of 2 years of professional experience, whether in applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that reflect real physics research workflows;Creative thinking in problem design across various physics disciplines;Familiarity with physics modeling and approximation strategies;Strong written English proficiency (C1+).Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject Time CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and does not guarantee a specific workload.CompensationIn this project, contributors can earn up to $17 per hour, based on their level of contribution and pace. Compensation may vary across projects according to their scope, complexity, and required expertise. Please be aware that other projects on the platform may offer different earning potentials depending on their specific requirements.

Anyone AI is looking for a Backend Developer - AI Trainer to support projects with a leading AI lab. This remote, part-time position is open to candidates based in Uruguay. What you will do Design and evaluate software engineering tasks focused on backend development. Work on assignments such as bug fixing, implementing new features, refactoring code, and generating tests. Collaborate with teams involved in AI-driven projects. Key skills Proficiency in Python Experience with JavaScript or TypeScript Work arrangement Part-time and project-based Fully remote Flexible scheduling

Toloka AI is looking for a freelance AI trainer who combines civil engineering experience with strong Python programming skills. This contract role is fully remote and open to professionals based in Uruguay. Role overview This position centers on supporting learners as they apply artificial intelligence to civil engineering projects. The focus is on practical instruction and guidance, helping others use Python effectively in real-world engineering scenarios. What you will do Train and mentor individuals or groups in the use of AI for civil engineering applications Share hands-on Python programming knowledge relevant to engineering tasks Contribute to the advancement of AI technologies by guiding learners and providing feedback Location This freelance role is remote and available to candidates residing in Uruguay.

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we connect talented specialists with project-based AI opportunities for top-tier tech companies, focusing on the evaluation and enhancement of AI systems. Note that participation is project-based and does not imply permanent employment.Opportunity Overview:Each project presents unique challenges, and contributors will have the opportunity to:Craft original computational engineering problems that reflect real-world engineering workflows;Design challenges that necessitate Python programming for solving engineering calculations and simulations;Ensure tasks are computationally demanding, utilizing numerical methods or iterative solutions;Develop engineering problems centered around system design, optimization, and analysis;Base tasks on genuine research challenges or practical engineering applications;Validate solutions using Python and recognized engineering libraries;Clearly document problem statements and provide verified correct answers.Desired Qualifications:This role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applicable fields such as applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ proficiency);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international projects are advantages.Project Structure:Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Time Commitment:Project tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors may earn up to $17 per hour, based on their experience and contribution pace. Compensation levels may vary across projects according to their scope and complexity.

We encourage you to submit your CV in English, specifying your proficiency level in the language.Mindrift serves as a bridge connecting skilled professionals with project-based AI roles at leading technology firms, centered on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project-by-project basis, not as a permanent employment position.Opportunity Overview:Each project presents distinct tasks, including but not limited to:Designing innovative computational engineering challenges that replicate genuine engineering workflows.Creating programming problems that require Python coding for engineering calculations and simulations.Ensuring tasks are computationally demanding, necessitating numerical methods or iterative solutions.Developing challenges involving system design, optimization, and analysis.Grounding problems in real-world research issues or practical engineering applications.Validating solutions using Python alongside standard engineering libraries.Clearly documenting problem statements and providing verified correct answers.Qualifications We Seek:This role is ideal for engineers skilled in Python and interested in part-time, non-permanent project engagements. The ideal candidates will possess:A degree in Electrical Engineering or a related discipline.Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages considered equivalent.A minimum of 2 years of professional experience, whether applied, research, or teaching.A solid understanding of practical engineering limitations and approximations.Excellent written English skills (C1 level or higher).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Participate:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload.Compensation:Participants can earn up to $17 per hour, contingent upon their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and expertise needed. Please be aware that other projects on the platform may offer different compensation rates based on their specific requirements.

Role Overview anyone-ai is looking for Chemistry specialists based in Chile to support the development of STEM training datasets for advanced AI models. This is a remote position. What You Will Do Design and write complex Chemistry challenges that require deep reasoning and domain expertise. Ensure each challenge has a single, verifiable correct answer. Develop tasks that test the limits of current AI systems, focusing on computational accuracy and logical rigor. Work on projects across computational chemistry, physical chemistry, analytical chemistry, and chemical engineering workflows. Create Chemistry problems that may involve the use of specialized software tools. Areas of Focus Computational chemistry Physical chemistry Analytical chemistry Chemical engineering processes Tasks involving specialized Chemistry software

Join Anyone-AI as an AI Software Engineering Trainer in Uruguay! In this dynamic role, you will leverage your expertise in AI and software engineering to educate and train aspiring professionals.As an AI Software Engineering Trainer, you will create and deliver engaging training sessions, develop educational materials, and provide mentorship to students. Your passion for technology and ability to communicate complex concepts will inspire the next generation of software engineers.

Role Overview anyone-ai creates high-quality STEM training datasets for advanced AI models. The company’s data supports leading AI labs by helping improve their models’ technical reasoning. This remote role focuses on designing challenging, deterministic physics problems and solutions that test and expand the capabilities of AI systems. What You Will Do Develop complex physics problems for AI model training and evaluation. Write deterministic questions with a single, clearly correct answer. Provide detailed, validated solutions that clearly document each reasoning step. Create problems that require deep physical reasoning and multi-step analysis, not just recall. Use Python or specialized tools as needed for simulations, models, or computational workflows. Ensure all content is technically accurate, reproducible, and clearly written in English. Required Qualifications Bachelor’s, Master’s, or PhD in Physics or a closely related field. Research or industry experience in theoretical, experimental, or computational physics. Proficiency in Python and familiarity with scientific libraries such as NumPy or SciPy. Strong understanding of modeling, simulation, numerical methods, and multi-step problem solving. Ability to design original, challenging problems that reflect real-world physics workflows. Excellent attention to detail and strong technical writing skills in English. Preferred Qualifications Experience creating educational materials or assessments in physics. Familiarity with AI training methods. Location This is a remote position based in Uruguay.

Join our dynamic team at Toloka AI as a Freelance Data Scraping Engineer. In this remote role, you will leverage your expertise in Python to extract and manipulate data from various online sources. Your skills will be crucial in enhancing our data-driven solutions and ensuring the accuracy and relevance of the information we provide to our clients.

Role Overview anyone-ai is building high-quality STEM training data to support the next generation of AI models. The team focuses on improving how AI systems reason through scientific problems. This role calls for expertise in biology to help shape the data that powers these advances. What You Will Do Create complex, deterministic biology problems that have a single, verifiable solution Develop solutions that mirror real scientific and analytical workflows, ensuring each answer is comprehensive and validated Work within your area of specialization, which may include molecular biology, genetics, systems biology, computational biology, bioinformatics, or other quantitative biology fields Location This is a remote position based in Uruguay.

anyone-ai develops high-quality STEM training data that supports the progress of advanced AI models. The work produced here helps train and evaluate AI systems at leading research labs, with a focus on improving reasoning in specialized scientific areas. This remote role centers on designing and verifying challenging physics problems for AI training. Problems must have a single, correct answer and include a detailed, validated solution. The aim is to test deep physical reasoning and multi-step analysis, not just recall of facts. What you will do Create complex physics problems for AI systems to solve and learn from. Develop deterministic problems with one verifiable answer. Write thorough solutions that clearly explain the reasoning and steps involved. Design problems that require deep analytical skills and understanding of physics concepts. Use Python or other specialized tools for simulations, modeling, or computational workflows when needed. Ensure all materials are accurate, reproducible, and clearly written in English. Requirements Bachelor's, Master's, or PhD in Physics or a closely related field. Research or industry experience in theoretical, experimental, or computational physics. Proficiency in Python and familiarity with scientific libraries such as NumPy or SciPy. Strong background in modeling, simulation, numerical methods, and solving complex problems. Ability to design original, challenging problems that reflect real-world physics scenarios. Excellent attention to detail and technical writing skills in English. Preferred qualifications Experience creating educational content or working on AI training projects. Knowledge of modern AI methodologies and tools. This position is remote and open to candidates based in Uruguay.

anyone-ai is looking for a Mathematics AI Training Specialist based in Uruguay to help shape the next generation of AI reasoning. This remote position centers on building high-quality STEM training data that supports advanced AI models used by leading research labs. Role overview This specialist will design rigorous mathematical problems aimed at evaluating and improving AI system performance. Each problem must be challenging, test a range of mathematical skills, and include a single, clearly correct answer. A detailed, step-by-step solution must accompany every problem to ensure clarity and accuracy. What you will do Create original, well-structured mathematics problems for AI model training and assessment Ensure every problem has a unique, verifiable answer Write comprehensive solutions that explain the reasoning and steps involved Location This is a remote role open to candidates based in Uruguay.

About the RoleJoin Hopper, a leader in travel technology, whose innovative platform powers some of the largest travel portals worldwide. Our Hopper Technology Solutions (HTS) platform facilitates travel transactions for prominent global brands, including banks, airlines, and fintech leaders. This multi-tenant travel commerce engine allows partners to quickly launch exceptional hotel and travel booking experiences with minimal custom engineering.We are seeking a Senior Software Engineer who has embraced the forefront of AI-assisted development. You leverage multiple AI agents to autonomously deliver features with unprecedented speed. Your understanding of large language models (LLMs) enables you to create effective feedback loops and protective measures to optimize their potential.Technology StackBackend systems developed in Scala utilizing a range of Google Cloud Platform (GCP) services.Frontend web applications built with React and TypeScript.Your Daily ResponsibilitiesIdentify and implement enhancements to the codebase to accelerate agent performance and increase safety.Collaborate with a team of elite engineers in an environment that prioritizes trust and autonomy.Utilize AI to create comprehensive documentation and specifications that support asynchronous decision-making and team alignment.Rapidly develop and learn through the orchestration of AI agents to deliver features from user experience to database integration with minimal oversight.Design scalable architectures and foundational patterns to facilitate the efficient launch of new portals.Demonstrated experience in training, deploying, and optimizing LLMs for complex product functionalities.Engage directly with Product Managers and business stakeholders to shape and clarify our development roadmap; your insights and technical vision are valued.Work alongside a diverse team, providing and receiving high-level feedback essential for professional growth.The Ideal CandidateMotivated to dive deeply into unfamiliar codebases, maintaining a focus on delivering swift results.Proven expertise in directing AI agents and automated workflows to design, implement, and maintain complex software systems effectively.

Join anyone-ai as a Math AI Training Specialist in Uruguay. In this exciting role, you will be responsible for developing and enhancing training data for our advanced AI systems. Your expertise in mathematics will play a crucial role in ensuring the accuracy and effectiveness of our AI algorithms.

anyone-ai is building high-quality STEM training data to support advanced AI models for leading research labs. The team focuses on improving how AI systems reason within scientific fields. This Biology AI Training Specialist role centers on designing complex, deterministic biology problems that have a single, verifiable answer. Each problem should reflect real scientific and analytical workflows, paired with a thorough, validated solution. Areas of focus may include molecular biology, genetics, systems biology, computational biology, bioinformatics, or other quantitative biology specializations, depending on expertise. What you will do Develop advanced biology problems that test the limits of current AI systems. Create deterministic tasks with only one correct answer, ensuring clarity and reproducibility. Write and verify complete solutions for each problem. Design problems that require experimental reasoning, analysis of biological systems, computational workflows, or bioinformatics methods. Use Python and, when relevant, specialized biology or bioinformatics tools. Consistently maintain rigorous standards and technical precision in all submissions. Requirements Bachelor's, Master's, or PhD in Biology or a closely related life sciences field. Background in research or industry with experience in computational or quantitative biological analysis. Proficiency in Python; experience with data analysis or bioinformatics workflows is a plus. Strong analytical skills and confidence in solving multi-step scientific problems. Ability to create original, challenging problems rooted in real-world biological practice. Excellent written English and attention to detail. Preferred skills Experience in molecular biology, genetics, or bioinformatics. This position is based in Uruguay.