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Experience Level
Entry Level
Qualifications
We are seeking candidates with the following qualifications:Strong writing and editing skills. A background or interest in journalism, communications, or related fields. Familiarity with artificial intelligence concepts is a plus. Ability to work independently and meet deadlines. Excellent communication skills and attention to detail.
About the job
Toloka AI seeks a Freelance Junior Journalist - AI Trainer to join projects that help advance artificial intelligence. This remote role is available to candidates living anywhere in Uruguay. The position involves producing and improving content that supports AI development and helps inform the wider community.
What you will do
Research topics connected to artificial intelligence and data training
Write and edit articles aimed at educating and engaging Toloka AI’s audience
Provide feedback and insights on AI training processes
Requirements
Interest in both journalism and technology
Strong skills in writing and editing
Ability to work independently from within Uruguay
Curiosity about AI and its effects
About Toloka AI
Toloka AI is a forward-thinking company dedicated to advancing AI technologies through precise data collection and training. Our innovative team is passionate about harnessing the power of AI to create impactful solutions that enhance various industries. As a remote-first organization, we value flexibility and encourage creativity among our team members.
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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 Toloka AI seeks a Freelance Junior Journalist - AI Trainer to join projects that help advance artificial intelligence. This remote role is available to candidates living anywhere in Uruguay. The position involves producing and improving content that supports AI development and helps inform the wider community. What you will do Research topics connected to artificial intelligence and data training Write and edit articles aimed at educating and engaging Toloka AI’s audience Provide feedback and insights on AI training processes Requirements Interest in both journalism and technology Strong skills in writing and editing Ability to work independently from within Uruguay Curiosity about AI and its effects
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Please submit your CV in English, clearly indicating your English proficiency level.Mindrift serves as a bridge connecting specialists with project-oriented opportunities in AI for renowned technology companies, with a focus on the evaluation, testing, and enhancement of AI systems. This role is project-based and does not guarantee permanent employment.Role OverviewEach project presents distinct challenges, where contributors may be tasked with:Formulating original computational statistics problems that mimic authentic mathematical research processes;Crafting Python-based problems that necessitate programming solutions (utilizing libraries like Numpy, SciPy, Sympy);Ensuring that problems are computationally demanding, requiring extensive timeframes for resolution (days/weeks);Creating problems that necessitate complex reasoning across fields such as number theory, combinatorics, graph theory, and numerical analysis;Grounding problem statements in real-world research challenges or practical applications in mathematics;Validating solutions through Python using standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis opportunity is well-suited for statistics experts with Python experience who are interested in flexible, non-permanent projects. Qualified candidates should possess:A degree in Statistics or a related discipline;Proficiency in Python for numerical validation; experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is acceptable;A minimum of 2 years of relevant professional experience in applied, research, or educational settings;Strong written English skills (C1 or higher);Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.WorkflowApplication → Qualification Assessment → Project Onboarding → Task Completion → CompensationProject Commitment ExpectationsFor this role, it is estimated that active project phases will demand approximately 10 to 20 hours of work weekly, subject to project specifications. This is an estimation and not a guaranteed workload during project activity.CompensationContributors can earn up to $17 per hour, contingent on their experience and contribution pace. Compensation may differ across projects based on scope, complexity, and required expertise, with potential for varying earning levels across different projects on the platform.
We invite you to submit your CV in English, including your proficiency level in the language.Mindrift specializes in connecting talented professionals with project-based AI opportunities for leading technology firms, with a focus on the testing, evaluation, and enhancement of AI systems. Please note: Participation is project-based, not permanent employment.Opportunity Overview:Each project presents distinct tasks, and contributors may be engaged in the following:Designing innovative material engineering problems that mirror authentic engineering workflows;Creating problems that require Python programming for engineering calculations and simulations;Ensuring problems are computationally intensive, necessitating numerical methods or iterative solutions;Developing problems that incorporate system design, optimization, and analysis;Grounding problems in genuine research challenges or practical applications derived from engineering practice;Verifying solutions using Python with standard engineering libraries;Documenting problem statements clearly and providing verified correct answers.Qualifications We Seek:This role is ideal for material scientists and engineers with Python experience, open to part-time, non-permanent projects. The preferred candidates will possess:A degree in Material Science or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any comparable programming language is acceptable;At least 2 years of professional experience, including applied work, research, or teaching;A strong understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+).Project Workflow:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time Commitment:Estimated tasks will require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Participants can earn up to $17 per hour, influenced by their contribution level and speed. Compensation varies across projects based on scope, complexity, and required expertise. Please note, other projects on the platform may offer different earning potentials based on their specific requirements.
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.
Toloka AI seeks a Computer Science Specialist with strong Python skills to join its remote team in Uruguay. This position centers on supporting artificial intelligence projects and contributing to the development of new technologies. Role overview This role involves hands-on work in AI projects, where Python is a primary tool. Collaboration is key, with regular teamwork and communication in a distributed setting. What you will do Work on active artificial intelligence projects using Python Participate in team discussions and joint problem-solving Requirements Strong foundation in computer science Demonstrated experience with Python Genuine interest in AI Ability to work remotely and collaborate online Location This is a remote role open to candidates based in Uruguay.
We invite you to submit your CV in English and specify your level of English proficiency.Mindrift is a dynamic platform that connects skilled professionals with project-based AI opportunities from top technology firms. Our focus is on enhancing, testing, and evaluating AI systems through specialized tasks. Note that this role is project-based rather than a permanent position.What You Will Be Doing:Crafting original computational physics problems that replicate authentic physics research workflows;Developing challenges that necessitate Python programming for solutions (using libraries such as Numpy, SciPy, Sympy);Creating computationally intensive problems that require extensive timeframes for resolution (days to weeks);Formulating problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical physics applications;Validating solutions using Python with standard physics simulation libraries;Providing clear documentation for problem statements along with verified correct answers.What We Are Looking For:This role is ideal for physics graduates with Python experience who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, with alternative proficiency in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages being acceptable;At least 2 years of professional experience, encompassing applied, research, or teaching roles;Familiarity with numerical simulation methods;The ability to design problems that closely reflect real physics research processes;Innovative problem design skills across various physics disciplines;A strong command of written English (C1+ level).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get paidProject Commitment:During active phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project needs. This is an approximation and not a guaranteed workload.Compensation:Contributors can earn up to $17 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills. Please note that different projects on our platform may offer varying compensation levels based on their specific requirements.
We invite you to submit your CV in English, highlighting your level of English proficiency.Mindrift specializes in connecting skilled professionals with project-based AI opportunities for prominent technology companies, with a focus on testing, evaluating, and enhancing AI systems. This is a project-based role rather than permanent employment.What You Will Be Doing:While each project involves distinct tasks, contributors may be expected to:Design original computational physics problems that reflect authentic physics research workflows;Develop problems that necessitate Python programming for resolution (using libraries such as Numpy, SciPy, and Sympy);Ensure problems are computationally intensive and cannot be manually solved within a reasonable timeframe (days/weeks);Create problems that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on actual research challenges or practical applications from the field of physics;Validate solutions utilizing Python with standard physics simulation libraries;Clearly document problem statements and provide verified correct solutions.What We Are Looking For:This position is ideal for physicists with Python experience who are open to part-time, project-based work. Candidates should possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language can be considered equivalent;At least 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation methods;The ability to design problems that accurately reflect real physics research workflows;Creative problem-solving skills across diverse areas of physics;Knowledge of physics modeling and approximation techniques;Strong written English skills (C1+ level).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Time Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active periods, depending on project needs. This is an estimation and does not guarantee a fixed workload during the project's active phase.Compensation:Contributors can earn up to $17 per hour, depending on their skill level and contribution pace. Compensation may vary across projects based on their complexity, scope, and required expertise. Other projects on our platform may offer different earning potential based on their specific requirements.
