Freelance AI Trainer and Data Annotator

Join Toloka AI as a Freelance Data Scraping Engineer and contribute to innovative projects in the field of data extraction and analysis. In this role, you will leverage your Python skills to develop robust scraping tools and gather valuable data from various online sources.

We invite you to submit your CV in English and indicate your English proficiency level. Mindrift connects talented professionals with project-based opportunities in AI for some of the leading tech companies, emphasizing the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis, not permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be tasked with:Crafting original computational engineering challenges that mirror real engineering workflows;Designing problems that necessitate Python programming for engineering calculations and simulations;Ensuring that challenges are computationally intensive and require numerical methods or iterative solutions;Creating problems focused on system design, optimization, and analysis;Drawing inspiration from real-world research challenges or practical applications within the engineering field;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Desired QualificationsThis 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 Electrical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any other programming language will be considered equivalent;At least 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Process OverviewApply → Successfully complete qualifications → Join a project → Complete assigned tasks → Receive payment.Project CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, contingent on project requirements. This is an estimate and not a guaranteed workload, applicable only while the project remains active.Compensation DetailsContributors for this project can earn up to $31 per hour, depending on their expertise and contribution pace. Compensation may vary across different projects based on their scope, complexity, and needed expertise. Please note that other projects on the platform may offer different earning potentials based on their specific requirements.

Please submit your CV in English and specify your English proficiency level.Mindrift connects talented professionals with project-based AI opportunities for leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based opportunity, not permanent employment.Opportunity OverviewEach project presents distinct tasks, and contributors may be involved in:Designing original computational physics problems that mimic real-world physics research workflows;Creating challenges that require Python programming solutions (using libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally intensive, requiring considerable timeframes (days/weeks) for resolution;Developing scenarios that necessitate complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research challenges or practical applications within physics;Verifying solutions through Python and standard physics simulation libraries;Clearly documenting problem statements and providing verified accurate answers.Candidate ProfileThis role is ideal for optical engineers with Python experience who are interested in part-time, non-permanent projects. The perfect candidate will have: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 is also acceptable;A minimum of 2 years of professional experience, whether in applied work, research, or teaching;Experience with numerical simulation techniques;The capability to design problems that reflect real-world physics research workflows;Creative problem-solving skills across various areas of physics;Acquaintance with physics modeling and approximation methods;Strong command of written English (C1+).Process OverviewApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject Time CommitmentFor this position, tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate, not a guaranteed workload, applicable only while the project is active.CompensationContributors can earn up to $29 per hour, depending on their level of expertise and contribution pace. Compensation varies across different projects based on scope, complexity, and required skills. Note that other projects on the platform may offer different payment rates based on their specific requirements.

Please submit your CV in English and indicate your English proficiency level. This freelance, project-based role with Mindrift centers on developing and validating material science problems for AI training. Work is remote, with projects supporting leading technology companies. Assignments are not permanent and align with the needs of each project. Role overview Create original material engineering problems that mirror real-world scenarios and workflows Develop problems that require Python programming for engineering computations and simulations Design computationally intensive challenges using numerical methods or iterative solutions Focus on system design, optimization, and analysis tasks Draw inspiration from actual research issues or practical engineering cases Validate solutions with Python and standard engineering libraries Clearly document each problem statement and provide verified answers Requirements Degree in Material Science or a closely related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is valued Minimum of 2 years of experience in applied, research, or teaching roles Solid understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) How projects work The process includes: Apply, pass qualifications, join a project, complete assigned tasks, and receive compensation. Time commitment Expect to dedicate around 10–20 hours per week during active project periods. The actual workload may shift based on project needs. Compensation Earn up to $29 per hour, depending on experience and pace. Rates may vary between projects based on complexity and required expertise. Other projects on the platform may offer different compensation according to their needs.

We invite you to submit your CV in English, including your level of English proficiency.Mindrift connects talented specialists with exciting, project-based AI assignments from leading technology companies, focusing on testing, evaluating, and enhancing AI systems. Note: Participation is project-based and not intended for permanent employment.What this role entails:Each project may present unique challenges, and contributors can expect to:Craft original material engineering problems that reflect authentic engineering workflows.Develop problems necessitating Python programming for engineering calculations and simulations.Design computationally intensive problems that require numerical methods or iterative solutions.Formulate challenges involving system design, optimization, and analytical processes.Base problems on real-world research challenges or applicable engineering practices.Validate solutions using Python with standard engineering libraries.Clearly document problem statements and provide verified correct answers.Qualifications we seek:This opportunity is ideal for material scientists and engineers with Python expertise, looking for part-time, non-permanent project engagements. Preferred qualifications include:A degree in Material Science or a related field.Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is also acceptable.At least 2 years of professional experience in applied research, teaching, or related fields.A solid understanding of practical engineering constraints and approximations.Strong command of written English (C1+ level).How it operates:Apply → Pass qualifications → Engage in a project → Complete tasks → Receive payment.Project Time Expectations:Tasks are estimated to require approximately 10–20 hours per week during active project phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $29 per hour, based on their expertise and contribution pace. Compensation will vary by project, depending on scope, complexity, and required skills. Other projects on the platform may offer different compensation levels based on their specific requirements.

This freelance, project-based role connects mathematics experts with Python skills to AI training initiatives for toloka-ai. Work is remote, based in Porto, Portugal, and assignments are not permanent positions. Role overview Projects involve designing and validating advanced computational mathematics problems that reflect real mathematical research and practical applications. Contributors may: Create original math problems that mirror authentic research workflows Develop problems requiring Python programming to solve, often using Numpy, SciPy, or Sympy Ensure problems are computationally intensive, beyond manual solution within days or weeks Design tasks involving reasoning in number theory, combinatorics, graph theory, and numerical analysis Base problems on real research challenges or practical mathematical scenarios Validate solutions in Python with established mathematical libraries Document problem statements and provide verified, correct answers Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is also acceptable At least 2 years of professional experience (applied, research, or teaching) Experience with numerical methods and symbolic computation Ability to design problems that reflect genuine mathematical research workflows Understanding of computational complexity theory Strong written English skills (C1 level or higher) How to participate Apply with a CV in English, including your English proficiency level Pass relevant qualification steps Join a project Complete assigned tasks Receive compensation Workload and compensation Project workload is estimated at 10–20 hours per week during active phases, depending on requirements. This is an estimate and not a guaranteed number of hours. Compensation can reach up to $29 per hour equivalent, based on contribution level and pace. Actual rates may vary by project scope, complexity, and expertise required. Other projects on the platform may offer different earning levels depending on their needs.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.Mindrift is dedicated to connecting talented specialists with project-based AI roles for leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This position is project-based and does not constitute permanent employment.Key Responsibilities:Design innovative computational engineering challenges that replicate real-world engineering workflows;Craft problems that necessitate Python programming for solving engineering calculations and simulations;Ensure that the challenges are computationally intensive, requiring numerical methods or iterative solutions;Develop tasks related to system design, optimization, and analytical processes;Base challenges on genuine research questions or practical applications from engineering practices;Validate solutions using Python with standard engineering libraries;Clearly document problem statements and provide verified correct solutions.Qualifications:This role is ideal for engineers experienced in Python and open to part-time, non-permanent projects. Candidates should possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;A strong understanding of practical engineering constraints and approximations;Excellent written English (C1+ proficiency);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How the Process Works:Apply → Pass qualifications → Engage in a project → Complete assigned tasks → Get compensated.Project Time Commitment:Tasks are projected to require approximately 10–20 hours per week during active phases of the project, contingent on project requirements. This is an estimate and not a guaranteed workload, applicable only during the project's active duration.Compensation:Contributors can earn up to $31 per hour, based on their experience and contribution pace. Compensation may vary across projects depending on their scope, complexity, and expertise required. Note that compensation levels may differ in other projects available on the platform.

Toloka AI is looking for a freelance Civil Engineer & Python Specialist to support AI model training projects. This role is remote, with candidates expected to be based in Porto, Porto District, Portugal. Role overview This position combines civil engineering knowledge with Python programming to help improve AI systems. The work is project-based and allows for flexible, freelance engagement. Key responsibilities Offer civil engineering insights to guide AI model training Use Python to assist with AI development and related tasks Requirements Professional background in civil engineering Proficiency in Python Interest in artificial intelligence and openness to freelance work Location This is a fully remote freelance opportunity. Applicants must reside in Porto, Porto District, Portugal.

Toloka AI is seeking a freelance specialist with a strong background in biology and Python programming. This remote position is based in Porto, Portugal. Role overview This project centers on training AI models to better understand biological concepts using Python. The work involves applying subject matter expertise to improve how AI interprets and processes information in biology through code-based tasks. What you will do Use knowledge of biology and Python to guide AI model training Contribute to the development of educational resources powered by AI Location This freelance role is fully remote, with a focus on candidates located in Porto, Porto District, Portugal.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists in chemistry and Python with project-based AI work for technology firms. These freelance roles focus on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. Role overview As a Chemistry & Python Specialist, contributors work on a variety of computational chemistry tasks. Projects may involve: Designing original computational chemistry problems that mirror real research workflows Developing Python solutions using libraries such as numpy, scipy, and chemistry-specific packages Creating problems that require computational approaches beyond manual calculation Formulating challenges in physical chemistry, quantum chemistry, or molecular modeling that demand advanced reasoning Basing problems on real-world research issues or practical chemistry applications Validating answers through Python and established computational chemistry methods Documenting both problem statements and verified solutions thoroughly 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 acceptable At least 2 years of relevant experience (applied work, research, or teaching) Experience with numerical methods in chemistry Strong knowledge of computational chemistry concepts and methods Excellent written English (C1 level or higher) Project process The engagement process includes applying, completing qualifications, joining a project, performing assigned tasks, and receiving compensation. Time commitment Active project phases typically require an estimated 10–20 hours per week, depending on project needs. Actual workload may vary. Compensation Contributors can earn up to $29 per hour, depending on expertise and speed. Compensation is project-specific and may vary based on scope and complexity. Other projects on the Mindrift platform may offer different pay rates.

We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we facilitate connections between talented specialists and exciting project-based AI opportunities in leading technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Note that participation is project-specific and does not constitute permanent employment.Opportunity OverviewEach project presents distinct tasks, and contributors may engage in the following:Crafting original computational physics problems that replicate authentic physics research workflows;Designing challenges that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Creating problems that are computationally intensive and require substantial timeframes (days/weeks) for resolution;Formulating challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real research dilemmas or practical applications from physics;Validating solutions through Python using established physics simulation libraries;Clearly documenting problem statements and providing verified, accurate answers.Ideal Candidate ProfileThis role is well-suited for quantum researchers with Python proficiency who are interested in part-time, non-permanent projects. We seek candidates with:A degree in Physics (Theoretical, Experimental, Computational) or a related field;Proficiency in Python for numerical validation, with experience in MATLAB, R, C, SQL, or domain-specific libraries as acceptable alternatives;At least 2 years of professional experience in applied research or teaching;Familiarity with numerical simulation techniques;The ability to design problems that reflect genuine physics research workflows;Innovative thinking in problem creation across various physics domains;Knowledge of physics modeling and approximation methods;Strong command of written English (C1 or higher).Process OverviewApply → Pass qualification(s) → Join a project → Complete tasks → Receive paymentProject CommitmentFor this role, tasks are estimated to require approximately 10–20 hours per week during active project phases. This is an estimate and not a guaranteed workload.CompensationParticipants can earn up to $29 per hour, depending on their skill level and contribution pace. Compensation varies by project based on scope, complexity, and required expertise. Other projects may offer differing earning potentials.

Mindrift is seeking talented DevOps / Automation Engineers (Infrastructure & Scaling) to join our innovative Tendem project (https://tendem.ai/), focused on constructing and sustaining scalable infrastructure for automation workflows in a hybrid AI + human environment.In this engaging role, referred to as an AI Pilot at Mindrift, you will work alongside Tendem Agents who manage repetitive tasks, while you lend your infrastructure expertise, ensuring system reliability and performance optimization to maintain stable and scalable automation pipelines.This flexible part-time remote position is perfect for professionals with hands-on experience in cloud infrastructure, system deployment, and managing high-load automation environments.What We DoThe Mindrift platform connects specialists with AI projects from leading tech innovators. Our mission is to harness the potential of Generative AI by integrating real-world expertise from around the globe.About the RoleThis freelance opportunity involves designing, deploying, and maintaining the infrastructure that supports automation workflows, guaranteeing system stability, scalability, and high availability across various environments.Key ResponsibilitiesDeploy and maintain self-hosted automation environments (e.g., n8n instances or similar systems).Design and manage infrastructure to support high-volume workflows and extensive data processing.Scale automation systems to accommodate concurrent workloads and performance-intensive tasks.Establish monitoring, logging, and alerting systems to oversee workflow performance and detect failures.Implement alerts for critical events (e.g., node failures, performance drops, system instability).Ensure system uptime, reliability, and fault tolerance across automation pipelines.

We invite you to submit your CV in English, along with your proficiency level in the English language.Mindrift serves as a bridge, connecting experts with AI project opportunities from leading technology firms, concentrating on the evaluation, testing, and enhancement of AI systems. Please note that participation is based on projects rather than permanent employment.Opportunity Overview:Each project is unique, and contributors may be tasked with:Creating original computational physics problems that replicate authentic physics research workflows;Designing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally demanding, requiring extended timeframes (days/weeks) to solve manually;Generating problems that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on real-world research challenges or practical applications in the field of physics;Verifying solutions through Python with established physics simulation libraries;Clearly documenting problem statements and supplying verified correct answers.Qualifications We Seek:This opportunity is ideal for physicists with Python experience, looking for part-time and non-permanent engagements. The ideal candidates will possess: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 other programming languages is also acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that reflect real physics research workflows;Innovative thinking in problem design across various physics domains;Knowledge of physics modeling and approximation methods;Strong written English skills (C1+).Process:Apply → Complete qualifications → Engage in a project → Execute tasks → Get compensated.Project Commitment:For this role, tasks are projected to require approximately 10-20 hours per week during active phases, contingent on project demands. Please remember that this is an estimate and not a guaranteed workload.Compensation:Participants can earn up to $29 per hour, based on contribution level and efficiency. Compensation varies across projects, influenced by their scope, complexity, and necessary expertise. Note that other projects on the platform may offer different compensation levels based on their specific requirements.

toloka-ai seeks Freelance AI Workflow Engineers to help advance the Tendem project. This part-time, remote role focuses on building automation systems that blend large language models (LLMs) with human input. Work supports the development of intelligent workflows for content generation, communication, and process automation. Key responsibilities Design and improve workflows that use LLM APIs for generating content, automating tasks, and facilitating communication Collaborate with Tendem Agents who manage repetitive tasks, ensuring effective cooperation between AI systems and human contributors Apply structured thinking, prompt engineering, and quality assurance to deliver scalable, reliable AI-powered solutions Requirements Hands-on experience integrating LLMs and designing prompts Background in developing or refining AI-driven automation systems Ability to work independently as a remote freelancer Project context The Mindrift platform connects subject matter experts with AI projects from leading technology companies. Tendem aims to unlock Generative AI’s potential by combining global expertise with advanced tools. Location Remote , Porto, Porto District, Portugal

Join the Toloka AI team as a Freelance Agent Evaluation Engineer! In this pivotal role, you will contribute to the development and evaluation of AI systems, ensuring their effectiveness and reliability. Collaborate with a team of experts remotely from the beautiful Porto District of Portugal. If you're passionate about technology and eager to make a significant impact in the AI landscape, we want to hear from you!

Role overview Mindrift is looking for a freelance n8n Workflow Developer to join the Tendem project (https://tendem.ai/). This contract role centers on building and refining automation workflows in a hybrid AI and human operations setting. The position is remote, but applicants must be based in Porto, Porto District, Portugal. As an AI Pilot, you will work closely with Tendem Agents who manage repetitive business tasks. Your structured mindset and automation skills will help deliver efficient workflow solutions that support both AI and human-driven processes. This part-time contract fits professionals with practical experience in no-code automation, workflow design, and process improvement across varied business systems. What you will do Design, build, and evaluate advanced workflows in self-hosted n8n environments. Plan and implement integrations across multiple systems to create scalable automation pipelines. Develop and enhance AI-driven workflows, including content generation, enrichment systems, and process automation. Set up and maintain automation for lead generation, outreach, and data processing. Create web scraping workflows to extract and process data accurately. Optimize workflow execution, node sequencing, and error handling to minimize failures, delays, and API timeouts. Location and work arrangement This is a remote, part-time freelance position. Candidates must be located in Porto, Porto District, Portugal.

Join Altersolutions as an Engineering Lead, where you will spearhead innovative engineering solutions from the comfort of your own home. This role is ideal for a proactive leader who thrives in a fully remote work environment.

Join the innovative team at Mindrift as an AI Workflow Engineer for the Tendem project (https://tendem.ai/). In this dynamic freelance role, you will develop cutting-edge automation systems utilizing Large Language Models (LLMs) within our unique AI + human collaborative environment.As an AI Pilot, you'll work alongside Tendem Agents to streamline repetitive tasks. Your skills in structured thinking, prompt engineering, and quality control will be pivotal in crafting scalable and reliable AI-driven workflows.This part-time, remote opportunity is perfect for professionals with a robust background in LLM integrations, prompt design, and AI automation systems.

Role overview Mindrift seeks a Freelance Low-Code Automation Engineer to support the Tendem project. This part-time, remote role focuses on building and optimizing automation using Make.com, n8n, and JavaScript. Candidates may work from Porto, Portugal or fully remote. What you will do Design and implement automation workflows with low-code tools such as Make.com and n8n Extend and customize workflows using JavaScript when needed Work alongside Tendem Agents to automate and streamline repetitive tasks Develop reliable and scalable solutions by applying structured problem-solving Maintain high standards for quality and attention to detail in all workflow executions Who thrives in this role Those with hands-on experience in low-code automation platforms Engineers skilled at designing and refining workflow automations Individuals comfortable using JavaScript for custom automation logic People who prioritize quality, reliability, and clear processes The AI Pilot specialist At Mindrift, this specialist is called an "AI Pilot." AI Pilots work closely with human agents, ensuring smooth collaboration between automated systems and manual processes within a hybrid AI and human framework.