Optical Engineer Specializing in Python for AI Training - Freelance

Please submit your resume in English and indicate your language proficiency. Toloka connects people worldwide with freelance online tasks that support the development of artificial intelligence systems. The Annotators team collaborates with major technology companies on Generative AI projects, drawing on a wide range of backgrounds to advance AI through collective effort. Role overview As a Freelance AI Trainer – English Annotator, the focus is on helping AI systems interpret and understand real-world information. Tasks may involve evaluating AI-generated text, checking for factual accuracy, and comparing different responses. The specific work assigned will depend on current project requirements. Key responsibilities Review data sets, which may include text, images, or videos, for accuracy. Label and categorize content based on project guidelines. Identify and report content that is incorrect, sensitive, inappropriate, or unclear. Project details This freelance role is project-based. Tasks become available only when projects are active, and invitations to participate may vary depending on your profile and current openings. Compensation Pay varies by project and experience. AI trainers can earn up to $9 per hour. Location Remote , Pretoria, Gauteng, South Africa

Toloka Annotators is hiring a Freelance Data Annotator to assist with AI model training. This contract position is remote and open to candidates based in Pretoria, Gauteng, South Africa. Key responsibilities Label and annotate data accurately to support the development of machine learning models Apply project instructions to maintain consistent and reliable data quality Handle data carefully to contribute to the improvement of AI systems Role focus This contract is well suited to those interested in artificial intelligence and hands-on work with technology. Strong attention to detail is essential, as your efforts will directly influence the quality and usefulness of AI tools and applications.

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

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.

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

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects subject matter experts with project-based AI work for major technology companies. As a Freelance Research Physicist - AI Systems Trainer, this position is freelance and project-based, not a permanent role. Role overview Freelance Research Physicists help shape and test the abilities of AI systems in physics. Project tasks vary, but often include: Designing original optics problems modeled after real-world research workflows Developing computationally intensive problems that may require extended solution times Creating scenarios that require advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Grounding problems in actual research challenges or practical situations in optics and physics Documenting problem statements and providing accurate, verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of relevant experience, which may include research, applied, or teaching roles Experience with numerical simulation techniques Ability to create problems that reflect authentic research processes in physics Creative problem-solving skills across multiple physics specialties Knowledge of modeling and approximation methods in physics Strong written English skills at C1 level or higher Project workflow Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active projects, expect to contribute roughly 10–20 hours per week. Actual hours depend on project needs and may fluctuate outside of live project phases. Compensation Rates go up to $26 per hour, based on expertise and work pace. Compensation may vary by project complexity and requirements. Other projects on the Mindrift platform may offer different pay rates depending on their needs. Location This is a remote, project-based role open to candidates in Pretoria, Gauteng, South Africa.

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.

Mindrift offers project-based roles for experienced professionals looking to contribute to AI development in the supply chain field. This freelance position is remote and open to candidates in Pretoria, Gauteng, South Africa. The work is not permanent and assignments depend on project availability. Role overview The Freelance Supply Chain Consultant - AI Trainer role focuses on using procurement and supply chain knowledge to improve AI systems. The work involves designing realistic disruption scenarios, defining expected outcomes and mitigation strategies, and evaluating AI-generated recommendations for accuracy and business value. What you will do Create supply chain disruption scenarios based on real issues such as supplier delays, quantity changes, logistics challenges, and quality failures. Define anticipated results and effective mitigation steps for each scenario. Review and critique AI-generated insights, checking them against established business logic. Assess outputs for accuracy, completeness, and relevance within ERP systems (including Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba). Support structured data creation and validation according to provided guidelines. Requirements Minimum 4 years of hands-on experience in procurement, supply chain management, or purchasing, preferably in manufacturing. Strong understanding of procurement processes: purchase orders, vendor management, inventory control, and production planning. Direct experience with ERP platforms such as SAP, Oracle, or Microsoft Dynamics 365. Ability to design and analyze supply chain disruption scenarios and mitigation strategies. Familiarity with disruption types like delays, shortages, quality issues, and logistics problems. Knowledge of Incoterms, logistics, and transportation management. Understanding of Bill of Materials structures and production planning workflows. Experience tracking supplier performance metrics (such as OTIF, lead times, and quality assessments). Analytical skills for evaluating AI outputs against business logic. Background in data validation, structured data entry, or annotation tasks. Strong written English communication skills. How to participate Apply Complete qualification steps Join a project Carry out assigned tasks Receive compensation Time commitment Workload is estimated at 10-20 hours per week during active project phases. Actual hours may vary and are not guaranteed. Compensation Rates are up to $50 per hour, depending on project specifics.

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.

To apply, please submit your CV in English and specify your proficiency level in the language.Mindrift bridges the gap between specialists and innovative project-based AI opportunities with leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and does not constitute permanent employment.Role OverviewEach project presents distinct tasks, where contributors may be required to:Create prompts that challenge AI capabilities;Assess AI-generated solutions for accuracy, underlying assumptions, and logical coherence;Enhance AI reasoning to be consistent with foundational principles and established standards;Utilize structured scoring criteria to evaluate multi-step problem-solving processes.Ideal Candidate ProfileThis opportunity suits legal consultants or attorneys with experience in US law seeking part-time, non-permanent roles. Preferred qualifications include:A law degree (Bachelor, J.D., LLM, FLLM) relevant to the US context;At least 2 years of legal practice experience within US jurisdiction;Strong command of written English (C1/C2 level);Reliable internet connection.Application ProcessInterested candidates should apply, complete necessary qualifications, join a project, fulfill assigned tasks, and receive compensation.Project CommitmentDuring active phases of the project, contributors should expect to commit approximately 10–20 hours per week, based on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $20 per hour, contingent on their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and expertise required. Please be aware that other projects on the platform may offer different earning potentials based on their specific requirements.

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 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 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.

toloka-ai seeks a Senior Consultant to contribute to a freelance AI project. This contract role is fully remote, with a focus on candidates located in Pretoria, Gauteng, South Africa. Role overview This position centers on leading and advising AI-focused initiatives. The Senior Consultant will use consulting experience to guide project teams as they develop new artificial intelligence solutions for toloka-ai. Key responsibilities Advise and lead AI-related projects, providing strategic direction. Draw on consulting experience, especially from top-tier firms such as MBB. Support teams as they build and implement artificial intelligence solutions. Requirements Extensive consulting background, ideally with experience at a leading firm (MBB). Proven track record in AI projects or technology-driven initiatives. Ability to work independently in a freelance, remote setting. Location and work style This is a remote freelance contract. Applicants should be based in, or able to work from, Pretoria, Gauteng, South Africa.

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.

Join our dynamic team at Toloka AI as a Freelance Agent Evaluation Engineer. In this role, you will be responsible for evaluating agent performance, ensuring quality and efficiency in our processes. Your expertise will help us refine our systems and enhance user experiences.This position is ideal for self-motivated individuals who excel in remote environments and are passionate about technology and evaluation methodologies.