toloka-ai is looking for a freelance Civil Engineer and Python Specialist to support AI training initiatives. This position is remote, based in Pretoria, Gauteng, South Africa, and allows for flexible work arrangements from any location. Key responsibilities Contribute civil engineering expertise to AI training projects Develop and refine AI training tools using Python Work closely with team members to achieve project objectives and deliverables Role details Freelance contract Remote work Projects blend engineering and programming skills

Toloka AI is looking for a freelance consultant with strong skills in biology and Python programming. This remote role is based in Pretoria, Gauteng, South Africa. Role overview The main focus is on creating training materials and leading learning sessions. The goal is to help others apply AI tools and methods in biological research and related fields. What you will do Develop clear and practical training content covering biology and Python topics Facilitate sessions that guide participants in using AI for biological applications Requirements Expertise in biology and Python programming Ability to communicate technical concepts to learners Interest in AI applications within biological research

We invite you to submit your CV in English, including your level of English proficiency.Mindrift bridges the gap between specialists and project-based AI opportunities for top-tier tech companies, emphasizing the assessment, evaluation, and enhancement of AI systems. Please note that engagement is on a project basis, not as permanent employment.Opportunity OverviewEach project presents distinct tasks; contributors may be involved in:Crafting original computational statistics problems reflective of real mathematical research workflows;Formulating problems that necessitate Python programming for resolution (using libraries such as Numpy, SciPy, Sympy);Creating computationally intensive challenges that cannot be solved manually within a practical timeframe (days/weeks);Developing problems that involve complex reasoning pathways in fields like number theory, combinatorics, graph theory, and numerical analysis;Aligning problems with real-world research issues or practical mathematical applications;Validating solutions through Python using standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is best suited for statistical experts with Python experience who are open to part-time, non-permanent projects. The ideal contributors will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any programming language can serve as an equivalent;A minimum of 2 years of professional experience, inclusive of applied, research, or teaching roles;Strong written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Application ProcessApply → Meet qualifications → Join a project → Complete tasks → Receive paymentProject Time CommitmentFor this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is active.Compensation DetailsContributors can earn up to $21 per hour, contingent upon their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and expertise needed. Please note that other projects on the platform may present different earning potential based on specific requirements.

Mindrift connects subject matter experts with project-based AI work at leading technology companies. This freelance role focuses on developing and validating computational chemistry problems that require advanced Python programming. Assignments are temporary and project-based, not permanent employment. What you will do Create computational chemistry problems based on real research workflows and practical applications. Design problems that require Python solutions, using libraries such as numpy, scipy, and chemistry-specific packages. Ensure each problem is complex enough that manual solutions would take days or weeks. Develop challenges involving physical chemistry, quantum chemistry, and molecular modeling. Validate solutions in Python, following standard computational chemistry methodologies. Document each problem clearly and provide accurate, verified answers. Requirements Degree in Chemistry or a related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also valued. At least 2 years of professional experience (applied work, research, or teaching). Background in numerical methods used in chemistry. Familiarity with computational chemistry concepts and methods. Strong written English skills at C1 level or higher. Project details Workload is estimated at 10–20 hours per week during active project phases. Actual hours may vary depending on project needs and are not guaranteed for the full project duration. Compensation Contributors can earn up to $26 per hour, depending on project complexity, scope, and individual performance. Compensation may differ for other projects. How to apply Submit your CV in English, clearly stating your English proficiency level. The process includes qualification steps before joining a project: Apply, pass qualification(s), join a project, complete tasks, and receive payment.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift is a pioneering platform that links experts with project-based AI endeavors for top-tier technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and not intended for permanent employment.Opportunity OverviewEach project presents distinct tasks, and contributors may be involved in:Creating innovative material engineering challenges that reflect genuine engineering processes;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring that challenges are computationally demanding and utilize numerical methods or iterative solutions;Developing scenarios related to system design, optimization, and analysis;Grounding problems in real-world research difficulties or practical engineering applications;Validating solutions using Python and recognized engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Candidate ProfileThis role is ideally suited for material scientists and engineers experienced in Python, looking for part-time, non-permanent projects. Ideal candidates will possess:A degree in Material Science or related disciplines;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries being advantageous;At least 2 years of professional experience, which can include applied work, research, or teaching;A solid understanding of practical engineering limitations and approximations;Excellent written English skills (C1+ level).Process OverviewSteps to engage: Apply → Meet qualifications → Join a project → Complete tasks → Receive payment.Project CommitmentDuring active phases, tasks are expected to take approximately 10-20 hours per week, contingent on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $26 per hour, contingent on their contribution level and pace. Compensation may vary by project scope, complexity, and expertise required, with potential variations in earning levels based on different project demands.

Submit your CV in English and indicate your English proficiency level. toloka-ai, in partnership with Mindrift, offers project-based assignments for subject matter experts in AI and material science. These freelance roles focus on testing, evaluating, and improving AI systems for technology clients. This is not a permanent employment contract; work is assigned per project. Role overview Freelance AI Trainer & Material Scientist assignments vary by project. Typical work includes: Creating original materials that mirror real engineering workflows Designing engineering problems that require Python programming for calculations and simulations Ensuring tasks are computationally intensive, using numerical methods or iterative approaches Developing challenges in system design, optimization, and analysis Grounding problems in research challenges or practical engineering applications Validating solutions using Python and standard engineering libraries Documenting problem statements and providing thoroughly checked solutions Preferred qualifications Degree in Material Science or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued Minimum 2 years of professional experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Excellent written English (C1 level or above) Project process Apply Complete qualifications Join a project Fulfill assigned tasks Receive payment Time commitment During active project phases, expect to work approximately 10–20 hours per week. Workload may fluctuate and is not guaranteed outside these periods. Compensation Earn up to $26 per hour, depending on contribution and pace. Actual rates are based on project scope, complexity, and required expertise. Other projects on the platform may offer different pay structures.

We invite you to submit your CV in English, clearly indicating your level of proficiency in the language.Mindrift is dedicated to connecting talented specialists with project-based opportunities in the realm of artificial intelligence, specifically for leading technology firms. Our focus lies in the rigorous testing, evaluation, and enhancement of AI systems. Please note that participation is strictly project-based and does not constitute permanent employment.Opportunity OverviewAs a contributor, you will engage in various unique projects, which may include:Crafting innovative computational physics problems that emulate authentic research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that the problems are computationally demanding and cannot be solved manually within a reasonable timeframe (days/weeks);Developing challenges that require intricate reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research challenges or practical applications within the field of physics;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified solutions.Candidate ProfileThis opportunity is ideal for physicists with experience in Python who are open to part-time, non-permanent project work. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming language is also acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation methods;The capability to design problems that reflect real-world physics research workflows;Creative problem design skills across various physics domains;A solid understanding of physics modeling and approximation techniques;Strong written English skills (C1+ level).Application ProcessTo apply, please follow these steps: Submit your application → Pass the qualification assessments → Join a project → Complete the assigned tasks → Receive your compensation.Project Time CommitmentDuring active project phases, tasks are expected to require approximately 10–20 hours per week, depending on specific project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $26 per hour, contingent on their level of expertise and contribution speed. Compensation may vary across projects based on their scope, complexity, and the expertise required. Additionally, other projects within the platform may offer different earning potentials based on their specific requirements.

We invite you to submit your CV in English, including your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities in collaboration with leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis rather than permanent employment.Opportunity Overview:Each project encompasses a variety of unique tasks, and contributors may be involved in:Creating original computational engineering challenges that replicate realistic engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive and require numerical methods or iterative solutions;Developing issues centered around system design, optimization, and analysis;Grounding problems in authentic research challenges or practical engineering applications;Validating solutions using Python along with recognized engineering libraries;Clearly documenting problem statements and providing verified solutions.Ideal Candidate Profile:This role suits engineers with experience in Python who are open to part-time, non-permanent projects. The preferred qualifications include:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming languages;At least 2 years of professional experience in applied, research, or teaching roles;A good grasp of practical engineering constraints and approximations;Excellent written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.How to Participate:Apply → Meet qualifications → Join a project → Complete assigned tasks → Receive compensation.Project Time Commitment:Tasks are anticipated to require approximately 10-20 hours per week during active project phases, based on specific project demands. This is an estimate and not a guaranteed workload.Compensation:On this project, contributors have the potential to earn up to $23 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise.

We kindly ask candidates to submit their CV in English, including an indication of their English language proficiency.Mindrift serves as a bridge connecting talented professionals with project-based AI roles for top-tier technology firms, dedicated to assessing, testing, and enhancing AI systems. Please note, participation in these projects is on a temporary basis, not permanent employment.Opportunity Overview:Each project presents its distinct challenges, and contributors may be involved in tasks such as:Creating innovative computational physics problems that reflect authentic physics research processes;Developing programming challenges that utilize Python (including libraries like Numpy, SciPy, Sympy);Ensuring the problems are computationally demanding and cannot be manually resolved in a short timeframe;Formulating problems that necessitate complex reasoning in fields such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Drawing from genuine research dilemmas or applicable scenarios in physics practice;Validating solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Candidate Profile:This role is ideal for quantum researchers with Python expertise who are interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a closely related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, and various domain-specific libraries is also beneficial;A minimum of two years of relevant professional experience, whether in applied research, academic settings, or teaching;Experience with numerical simulation techniques;A knack for designing problems that emulate real-world physics research workflows;Creative problem-solving abilities across various physics domains;Familiarity with physics modeling and approximation strategies;Strong written English skills (C1+ level).Process Overview:Apply → Pass qualifications → Engage in a project → Execute tasks → Receive payment.Project Commitment:During active phases, tasks are estimated to require approximately 10 to 20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $26 per hour based on their contribution level and pace. Compensation varies by project scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their specific requirements.

We invite you to submit your CV in English, including your proficiency level.Mindrift specializes in connecting talented professionals to project-based AI opportunities with leading technology companies, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based role, not permanent employment.Key Responsibilities:Develop original computational engineering challenges that replicate genuine engineering workflows.Formulate problems necessitating Python programming to execute engineering calculations and simulations.Ensure tasks are computationally demanding, employing numerical methods or iterative solutions.Design problems that involve system design, optimization, and analysis.Base challenges on authentic research questions or practical engineering applications.Validate solutions utilizing Python and standard engineering libraries.Clearly document problem statements and provide verified solutions.Desired Qualifications:This opportunity is ideal for engineers proficient in Python, seeking part-time, non-permanent engagements. The ideal candidates will possess:A degree in Mechanical Engineering or a related field.Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or any programming language as a substitute.A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles.An understanding of practical engineering constraints and approximations.Strong written English skills (C1+).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Expectations:Tasks are estimated at 10–20 hours per week during active project phases, based on specific requirements. This is an estimate and not guaranteed.Compensation:Contributors can earn up to $23 per hour, contingent on their level of contribution and pace. Compensation may vary with different project scopes and complexities.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities for leading technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. Note: Participation is on a project basis and does not entail permanent employment.Opportunity OverviewEach project presents distinct tasks; contributors may be required to:Craft original computational physics problems that reflect authentic physics research processes;Devise problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Guarantee that tasks are computationally demanding and cannot be manually resolved within reasonable timeframes (ranging from days to weeks);Create questions that require complex reasoning chains in disciplines like mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research dilemmas or real-world applications within the field of physics;Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis opportunity is ideal for optical engineers experienced in Python, looking for part-time, non-permanent engagements. Preferred candidates will 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 other programming languages is also acceptable;A minimum of 2 years of professional experience, encompassing applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that replicate real physics research workflows;Innovative problem design skills across various physics domains;Knowledge of physics modeling and approximation methodologies;Exceptional written English skills (C1+ level).Application ProcessSteps: Apply → Meet qualifications → Join a project → Complete tasks → Receive payment.Project CommitmentFor this project, tasks are anticipated 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 while the project is ongoing.CompensationContributors can earn up to $26 per hour, contingent on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and expertise requirements. Be aware that other projects on the platform may offer differing salary levels based on their specific needs.

We invite you to submit your CV in English and detail your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for some of the world's leading technology companies, focusing on the evaluation, testing, and enhancement of AI systems. Please note that participation is project-based rather than permanent employment.Opportunity OverviewEach project presents distinct tasks, and contributors may:Craft original computational physics problems that reflect real research workflows.Develop Python-based problems utilizing libraries like Numpy, SciPy, and Sympy.Create computationally intensive challenges that cannot be efficiently solved manually within a reasonable timeframe.Design problems necessitating complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics.Base problems on authentic research hurdles or practical applications from the field of physics.Validate solutions using Python alongside standard physics simulation libraries.Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis opportunity suits physicists experienced in Python and willing to engage in part-time, non-permanent projects. We are particularly interested in candidates who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline.Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries may be considered equivalent.A minimum of 2 years of professional experience in applied research or teaching.Experience in numerical simulation methods.The capability to design problems that mirror authentic physics research workflows.Innovative problem-solving skills across various physics domains.Familiarity with physics modeling and approximation techniques.Excellent written English skills (C1+ level).How the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Receive compensationProject CommitmentFor this role, tasks are expected to require approximately 10–20 hours per week during active project phases, based on requirements. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $26 per hour, contingent on their contribution level and pace. Compensation may vary across projects based on complexity and expertise required.

Mindrift is at the forefront of connecting skilled professionals with exciting project-based AI opportunities for top-tier technology firms. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based, not intended as permanent employment.About the RoleAs a Procurement & Supply Chain Consultant within this initiative, you will leverage your extensive experience to craft realistic disruption scenarios, outline anticipated outcomes and mitigation strategies, and critically assess AI-generated recommendations for their accuracy, completeness, and relevance to business needs.What You Will DoWhile individual projects will present a variety of tasks, your contributions may include:Developing realistic supply chain disruption scenarios (e.g., supplier delays, fluctuations in quantity, logistics challenges, quality failures) based on authentic manufacturing and procurement contexts.Defining expected outcomes and crafting effective mitigation strategies for each scenario.Evaluating AI-generated suggestions and recommendations against established business logic.Assessing outputs for accuracy, completeness, and relevance within ERP environments, particularly with systems like Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP).Contributing to structured data creation and validation tasks according to defined guidelines and frameworks.Qualifications We SeekA minimum of 4 years of practical experience in procurement, supply chain, or purchasing, preferably within a manufacturing setting.Strong familiarity with procurement workflows, including purchase orders, vendor management, inventory control, and production planning.Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365.Demonstrated ability to conceptualize and navigate supply chain disruption scenarios and corresponding mitigation strategies.A solid understanding of various disruption types: delays, shortages, quality issues, and logistics challenges.Knowledge of Incoterms and logistics/transportation management.Familiarity with Bill of Materials (BOM) structures and production planning processes.Experience with supplier performance metrics (e.g., OTIF, lead times, quality scores).An analytical mindset with the ability to evaluate AI outputs against real-world business logic.Experience in data validation, structured data entry, or annotation tasks.Excellent written communication skills in English.How To Get InvolvedApplication → Qualification → Project Engagement → Task Completion → Compensation.Project Time CommitmentTasks during active phases of this project are expected to require approximately 10-20 hours per week, contingent upon project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $50 per hour, depending on experience and qualifications.

Toloka AI seeks a Freelance English Writer and AI Trainer to support its AI training projects. This contract position welcomes applicants based in Pretoria, Gauteng, or working remotely from anywhere in South Africa. Role overview This role centers on crafting written content that helps guide and enhance AI training. The focus is on producing material that is clear, engaging, and easy to follow. What you will do Create written resources to assist AI training processes Develop content that is informative and straightforward Collaborate with the Toloka AI team to achieve project objectives Location This is a remote position. Candidates located in Pretoria, Gauteng, or elsewhere in South Africa are encouraged to apply.

Toloka AI seeks a Freelance Junior Journalist - AI Trainer to assist with content creation and review for AI application projects. This contract position is remote, with a focus on candidates based in Pretoria, Gauteng, South Africa. Key responsibilities Create and review written material to support the training and improvement of AI algorithms Use journalistic skills to ensure content is clear and accurate Work on projects that influence the direction of AI-driven content Who will thrive in this role Journalists early in their careers who are interested in technology Writers who enjoy exploring new tools and processes Individuals seeking experience in the AI sector while working remotely

Please submit your CV in English and include your proficiency level. toloka-ai, in partnership with Mindrift, offers freelance opportunities for optical engineers to contribute to project-based AI work. This remote position is not a permanent role but centers on short-term assignments. The focus is on testing, evaluating, and improving AI systems related to optics and physics. Role overview This freelance role involves designing original optics problems that reflect real research workflows. Assignments require developing computationally intensive challenges that may take days or weeks to solve. Problems span advanced topics in mechanics, electromagnetism, thermodynamics, and quantum mechanics, often inspired by real research or practical applications. Each problem must be clearly documented with accurate, verified solutions. What you will do Design optics problems modeled after real-world research processes. Create complex, computationally demanding challenges. Develop problems requiring advanced reasoning across multiple physics domains. Base problem design on authentic research challenges or practical scenarios. Document each problem and provide precise solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a related field. At least 2 years of relevant experience in applied work, research, or teaching. Experience with numerical simulation techniques. Ability to design problems that reflect real research processes in physics. Creative problem-solving skills across mechanics, electromagnetism, thermodynamics, and quantum mechanics. Understanding of physics modeling and approximation methods. Proficient written English (C1 level or above). Interest in part-time, temporary projects as a freelance optical engineer. Project commitment During peak project periods, expect to dedicate approximately 10–20 hours per week, though workload may shift depending on project needs. Compensation Earn up to $26 per hour, depending on expertise and pace. Actual pay varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates. How to apply Apply with a CV in English, including your proficiency level. If qualified, join a project. Complete assigned tasks. Receive compensation for your work. Location: Remote , Pretoria, Gauteng, South Africa

Are you a seasoned Northern Sotho language expert excited to influence the future of artificial intelligence? As large-scale language models evolve from basic chatbots to sophisticated tools for learning and communication, your expertise is essential. High-quality training data is crucial for developing AI that provides natural, accurate, and culturally nuanced Northern Sotho experiences across various domains such as education and global communication. Your role will be pivotal in shaping the next generation of AI.We are seeking a highly qualified Northern Sotho language specialist who can contribute linguistic knowledge, cultural insight, and precise training data. You will engage with advanced AI technologies, assess and enhance Northern Sotho text outputs, and provide expert feedback on grammar, syntax, semantics, style, and cultural relevance to improve model performance.Your daily tasks will include reviewing and annotating Northern Sotho content, evaluating AI-generated outputs for accuracy and fluency, identifying error patterns, and collaborating with our team to enhance prompts, evaluation methods, and linguistic guidelines.Fluency in Northern Sotho is essential, along with proven experience in translation, linguistics, language instruction, editing, or similar roles. Additional experience in training or linguistic annotation is a bonus. Clear communication skills, cultural knowledge, and meticulous attention to detail are critical for this position.Are you ready to leverage your Northern Sotho expertise to build the AI tools of the future? Apply now and help create the models that will serve millions of Northern Sotho speakers worldwide.

Join us as a talented Xhosa Language Specialist and play a pivotal role in shaping the future of artificial intelligence. As large-scale language models evolve, they are transitioning from basic chatbots to sophisticated engines of learning and communication. With your expertise, we will harness high-quality training data to create more natural, accurate, and culturally nuanced Xhosa experiences that enhance education, accessibility, and global communication. We are seeking a highly skilled professional who can infuse linguistic depth and cultural context into training data. Your responsibilities will include working with state-of-the-art AI tools, assessing and refining Xhosa text outputs, and providing expert feedback on grammar, syntax, semantics, style, and cultural relevance to enhance model performance. On a typical day, you will review and annotate Xhosa content, evaluate AI-generated outputs for accuracy and fluency, identify and document error patterns, and collaborate with our team to refine prompts, evaluation methods, and linguistic guidelines. Fluency in Xhosa is a must, along with proven experience in translation, linguistics, language education, editing, or similar fields. Experience in training, coaching, or linguistic annotation is a bonus. Strong communication skills, cultural knowledge, and meticulous attention to detail are essential for this role. If you're ready to leverage your Xhosa language expertise to help build the AI tools of tomorrow, apply today and contribute to a model that will benefit millions of Xhosa speakers globally.

To apply, please submit your CV in English and specify your English proficiency level.Mindrift connects skilled specialists with project-based AI opportunities for top technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Opportunity Overview:Each project presents distinct tasks, where contributors may be required to:Create original optics problems that replicate authentic physics research workflows;Design problems that are computationally intensive and cannot be resolved manually within a reasonable timeframe (days/weeks);Develop challenges requiring complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on real-world research challenges or practical applications from physics and optics;Clearly document problem statements and provide verified correct answers.Candidate Profile:This role is suitable for optical engineers seeking part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;At least 2 years of relevant professional experience, whether in applied roles, research, or teaching;Experience with numerical simulation techniques;The ability to craft problems that reflect real physics research workflows;Creative problem-solving skills across various physics disciplines;Familiarity with physics modeling and approximation methods;Strong English proficiency (C1+).Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject Commitment:Tasks are estimated to require approximately 10–20 hours per week during active project phases, subject to project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $26 per hour, depending on their experience level and contribution pace. Compensation may vary across projects based on scope, complexity, and expertise required. Note that other projects on the platform may offer different compensation levels based on their specific needs.