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Qualifications
The ideal candidate will possess a strong background in biology and programming, particularly in Python. Experience in AI training or education is preferred but not mandatory. Strong communication and organizational skills, along with the ability to work independently, are essential for success in this role.
About the job
Toloka AI is seeking a freelance specialist with a background in biology and Python programming. This remote role focuses on creating and delivering training content for learners interested in artificial intelligence.
Role overview
The Biology and Python Specialist will design educational materials that bridge concepts in biology with practical Python skills. The goal is to help participants build a strong foundation for work in AI-related fields.
What you will do
Develop training programs that combine biology topics with Python programming techniques
Deliver instructional content to support learners as they build AI skills
Requirements
Expertise in biology
Strong proficiency in Python
Ability to communicate technical concepts clearly
This freelance position is open to candidates based in Austria and offers the flexibility to work remotely.
About Toloka AI
Toloka AI is at the forefront of artificial intelligence technology, dedicated to creating innovative solutions that enhance learning and training in the digital age. Our remote team is composed of talented individuals who are passionate about making a difference in the world of AI.
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Mindrift connects skilled professionals with project-based opportunities to support leading tech companies in testing, evaluating, and improving AI systems. This freelance role with toloka-ai is remote and based in Austria. Participation is strictly project-based and does not constitute permanent employment. Role overview Freelance AI Trainers specializing in Mathematics and Python contribute to a range of projects. Work includes: Designing original computational mathematics problems that mirror real research workflows Developing challenges that require Python programming for solutions, using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally complex, requiring more than a reasonable amount of manual effort to solve Creating tasks that involve intricate reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on authentic research questions or practical scenarios from mathematical practice Validating solutions using Python and standard mathematical libraries Documenting problem statements clearly and providing verified answers Requirements Degree in Mathematics (pure or applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also acceptable At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems that reflect real mathematical research workflows Strong grasp of computational complexity theory Exceptional written English skills (C1 level or higher) Project commitment Expect to dedicate about 10–20 hours per week during active project periods. Actual workload may vary depending on project needs and is not fixed. Compensation Contributors may earn up to $45 per hour, depending on the nature and complexity of the project and individual contribution. Rates can vary across different projects on the platform. Application process Submit a CV in English, including your English proficiency level. The process includes qualification steps, joining a project, completing assigned tasks, and receiving payment upon completion.
This freelance Data Scientist (Python & SQL) role with toloka-ai is project-based and remote, open to candidates located in Austria. Mindrift connects experienced data science professionals with assignments that focus on evaluating and improving AI systems for major technology companies. Work is assigned per project and is not a permanent position. Key Responsibilities Design computational data science challenges that mirror real-world analytical scenarios in sectors such as telecommunications, finance, government, e-commerce, and healthcare. Develop problems requiring Python programming, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are sufficiently complex to prevent manual solutions within days or weeks. Create tasks involving advanced reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Produce deterministic and reproducible problems, using fixed seeds for any randomness. Base challenges on business cases such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Cover the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data processing scenarios that require scalable solutions. Validate solutions using Python and standard statistical techniques. Document each problem with clear business context and provide verified, correct answers. Requirements At least five years of hands-on data science experience with measurable business impact. Portfolio of completed projects or publications demonstrating real-world problem-solving skills. Advanced Python programming skills for data science, including Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Strong knowledge of statistical analysis and machine learning algorithms and applications. Expertise in SQL and database operations for data manipulation and analysis. Familiarity with Generative AI technologies such as LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Experience with frameworks like TensorFlow, PyTorch, or LangChain. Excellent written English (C1 level or higher). Application Process Submit your CV in English and indicate your English proficiency level. Complete the qualification process. Join a project upon acceptance. Work on assigned tasks. Receive payment after task completion. Please submit your CV in English and indicate your English proficiency level.
We invite candidates to submit their CVs in English, including a clear indication of their English proficiency level.Mindrift specializes in connecting experts with project-based AI opportunities for top-tier technology companies, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that participation is on a project basis and does not guarantee permanent employment.Opportunity OverviewEach project encompasses distinct tasks, and contributors may be responsible for the following:Crafting prompts that effectively challenge AI capabilities;Assessing AI-generated outputs for accuracy, underlying assumptions, and logical coherence;Enhancing AI reasoning to ensure alignment with foundational principles and established standards;Utilizing structured scoring criteria to evaluate complex problem-solving approaches.Ideal Candidate ProfileThis role is particularly suited for legal consultants or attorneys experienced in US law who are open to part-time, non-permanent engagements. The ideal candidates will possess:A law degree (Bachelor, J.D., LLM, FLLM) contextualized within the US legal framework;A minimum of 2 years of legal practice experience within the US jurisdiction;Exceptional written English proficiency (C1/C2 level);A reliable internet connection.Application ProcessSubmit your application → Successfully complete qualification(s) → Engage in project work → Carry out assigned tasks → Receive compensation.Project Commitment ExpectationsParticipants can expect to dedicate approximately 10–20 hours per week during active project phases, based on specific project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $53 per hour, depending on their level of expertise and contribution pace. Compensation may vary across different projects based on their scope and complexity. Please be aware that other projects on the platform may present different earning opportunities.
